The pace at which AI has become a central force in achieving productivity by enterprises today cannot be ignored. This webinar answers a million dollar question of why building a relevant expertise in AI necessary?
The pace at which AI has become a central force in achieving productivity by enterprises today cannot be ignored. This webinar answers a million dollar question of why building a relevant expertise in AI necessary?
Advanced Certification in AI/ML is a 6-month in-depth, and comprehensive program. It enables working professionals from around the world to build AI/ML expertise from India’s top Machine Learning Lab at IIIT Hyderabad. The program is led by collaborative faculty from academia, industry, and global blue-chip institutions. The unique 5-step learning process of masterclass lectures, hands-on labs, mentorship, hackathons, and workshops ensure fast-track learning.
AI Expertise is both Urgent and Important in the New World Order
So Good evening and warm welcome to all the participants present here for today's session. I am a lead admissions taking care of triple it has about both programs AI ml and blockchain program has an experience of almost 10 years in helping learners to get their upskilling and profile building and all those things. With talentsprint. I take care of the triple it has about programming AI ml and blockchain. With me for the session today we have ashokan ashokan is the chief learning officer for talentsprint. And also the lead factor one of the lead faculty for AML program. I Shogun has 35 years of experience and has almost thousands of students who has graduated, you know, under a token per token, I would request if you can give a brief about yourself for the benefit of the audience present here. Sure. Oh, hello, everybody. Good evening. Once again.
I've been writing code and teaching. Alternatively for the last 40 odd years of my life.
I was our coder from the time of mainframes, written more than 200,000 lines of code in six different languages, from minis mainframes to PCs, the whole reach, also been an entrepreneur, I set up the first few companies out of India in specific areas. And prior to talentsprint, I was the CEO of a software product company focusing on the HR space.
So in all, I have been around the park a few times. And one of the things that has always fascinated me is how programming languages are evolving how needs of professionals the tools they are knowledge is evolving. And how can one teach better? These have been my areas of continuous interest.
And I've been a talentsprint for more than 10 years now. It's been a wonderful journey of generating thousands of both fresh out of college engineers and re skilling another thousand odd, probably the number is closer to 4000. Now engineers in different working professionals in different areas. So, to summarize, I have been a coder and a teacher. Ideally, I have looked for jobs where I can combine both and I've been lucky enough to be able to do that all my life so far. And here I am
Yes, sir. Yeah. So we also have Jenkins atunci. with us. studenten is CEO for Omi infusion technologies, gentlemen, is also our one of our lm form the batch twill. Jonathan, would you like to explain a bit about yourself?
Sure, Susan. Thanks. everybody hear me clearly. Yeah. Okay. So
Good evening, everyone
And quick introduction. This is Jonathan here. I've been in the software industry for over 25 years now. have, you know, kind of worked both in startups as well as in the larger mmcs, including the Big Four consulting companies. And it's been a very interesting journey, you know, going after large deals. So I work right from starting as a developer, program management, then multiple roles across leadership scoping out large nuclear projects. And essentially as part of that, last few years, what always happens is, you know, with RPA, and then we'll always hit a block where all CIOs were very interested about knowing about AML. So I think that's where I got excited about AML for the last three, four years, and I'll talk about more on you know, the choice were made. I was part of the triple it the talentsprint program based on the research and the various things that I looked at. But yes, in short, it was a great experience, you know, being a student at talent spring with the triple IITs curriculum and the professor. So that's a little bit about me.
Thank you so much.
And gentle. So in today's session, we will take you through the introduction about talents and what talentsprint is into. We will discuss more about AI the power of AI in current situation and how this program has you know, professionals upskill their career to
I would like to tell you a brief about talentsprint here.
So talentsprint is a 10 year old organization which partners with premium academic institutions providing deep tech programs for experienced, experienced professionals. With this, we have partnered with some premium institutions of the country like IIT Kanpur for cybersecurity, I see for digital health and imaging, I am Calcutta we are having three programs on FinTech and global economic and triple IIT Hyderabad is our oldest Association for AI ml and blockchain program, not just association with academic institutions. Parents can also associate and partners with global blue chip corporations to augment their talents, talent supply in deep tech.
So, I would like to ask you a question here since you have been there since the beginning of this program and it since the beginning of
Instead rather, how has been this journey of you know, ai ml program so far with you if you would like to explain the participant side.
Before that, Vikram
Can we go through a couple of questions before I race? Take your question if that's all right with you. Yeah.
Okay. The genesis of this program is in the fact that AAA to Hyderabad is very, very strongly associated with the industry in Hyderabad. Even from the time it was set up. It has been industry Academy, a partnership type of an institution. And some of you may know it pretty years back when it was set up.
Companies both, if I remember right, Oracle and Microsoft were actually within the same campus. They are not just tenants, these executives from those companies are actually teaching
interpolated those days. So, of course later they are moved on to their own big campuses. But that tradition of a strong and deep connect to the industry in Hyderabad has been caught off to great ease with us. So sometime around October 2017 plenty Hyderabad is being a center for a large amount of animal research. They have the center called the holy centers for intelligent systems which is having nearly what some 40 odd faculty and 100 odd researchers working on various
topics in artificial intelligence, machine learning, machine translation, computer vision and so on. So,
this group has been getting a lot of requirements about skill needs in that a ml territory in the market. So, they organized a series of two day workshops aimed at the top managers in various companies are gay to brief them on
What What is this all about oil? Everybody's very interested in it. And we do ask them, okay, what do you see your company's doing in that space? So as a result of those discussions, it became clear that the companies were expecting that some part of their business will require a knowledge and skills. And not necessarily in only the cutting edge, in fact, are not the I don't know the comments made in that workshop was the senior person said, you're producing about 5060 master's students about 1020 PhDs and probably about 150 undergrads, but many of them go abroad or continue further and they are only in the research level people, we probably will need people with AML knowledge and skills in every level of the organization at entry level programming in worrying about how will we do QA for these new machine learning systems? How will you deploy them whatever
We the security implications every single area is going to require people. So, it would be good if something is done about that. So, as a result of that, Professor Java and other senior people in
AAA D sat up and came up with this idea of designing and starting to do their first open executive program is the first of the program of its type far to pull it and since we were till then inside triple it, because you are also incubated interpret it as transparent as education institution. They knew as we knew them, so we became their partner for doing the delivery, logistics operation and so on. So, that is the genesis of this program and 14 batches are being completed. And Jonathan, you are in trouble, right?
Yes, Shogun, I was in 12th. That's correct. But in batches I've been completed and the 15th is going to start in a week or two from now. We have had people with an extremely wide array, a spectrum of experiences
background. Just to give you a few highlights, we had a fresher who came forward with me and said I'm a fresher I know you're not supposed to be the typical audience for this program, but I want to do it because I'm so interested, will you please give me an exemption then we talked and gave an exemption and while you are doing the program itself, he was
lucky enough to be able to do a very interesting project which he was interested in. And he was very thrilled. And I believe he is now working in the same space. And we are had people who had retired with a lot of statistics and math background who were
not really working, working, but they got excited by this new thing. They here they wanted to know so they came join the program. We had QA directors joining the program saying you know what, if everybody's going to talk about the AML soon we have to figure out how are we going to test such systems. So I better understand what this story is. And we had sales pre sales people in IT companies coming in
Saying, we need to understand what this is all about if you are going to do this, so there has been a variety of people who came in and they everybody had a different view of why they wanted to do this program that has been the Genesis and evolution of this program till date. Probably there are these three people have raised their hands for quite some time. I'll take the three questions, then I'll get back to you. Okay, we can go ahead. We come you raised your hand. You want to ask a question? Go ahead. Okay. Vikram raised his hand and went back to sleep. I think
harshavardhan would you want to ask a question? Please go ahead. Or Sheldon also has moved off.
screen. Yeah. This is signal sir. Yeah, boy. Yeah. Good evening, sir. Actually, I'm having total 20 plus years of experience in mechanical engineering and design services. Okay. I want to switch over my career by making
Use of this program okay okay, how far it will be useful for me and if so, what are the target potential industries? Okay see
anyone with a significant amount of experience which is the first and possibly the single most important thing to consider is how likely you are existing organizations or organizations in your existing domain are interested in people with the profile because you cannot move into an organization solely on the strength of your AML expertise.
Your whole packages I have pretty years of experience in these domains I under I understand these functional areas, I have these technical skills on on top of that I understand the MLA areas so what can I do that question makes sense only two organizations
your domain knowledge and this is worth the premium our 20 year experience is going to demand if it is pure coding or building ml systems experience, then that is not likely to be in favor of a person which has to be experienced. So the first question you have to look for is, are there companies? Or is my own company building a group? Many companies are? Or if there is not, so, are companies in my domain in my industry, building a groups and then if there are a significant number of them, then yes, this course can be a very good stepping stone for you to move on. chittenden would you like to add something? Yes, you're sure can. So, I think should I think my my view is that
any any particular field whatever it may be right today, you know, they're kind of even the research I did for the last five years and then finally decided to do the program was, you should look at that at least something like the Gartner's hype cycle.
All right. If you look at the hype cycle, you will see that there are certain technologies or certain skills that become very prominent during a particular period of time. And if you all have done your homework, which I'm assuming that you would have done right,
you will see that
a IML, which was, you know, kind of pretty much in the early stages of evolution even few years back today, it's slowly getting into the area where it's going to get mainstream, right? everywhere, pretty much there are implementations of AML going on in most companies. Now, to what extent there could be different types of use cases, right. But I think whichever field all of you come from, I think one what is very important is for all of you to lay out your own personal vision, because that is something which you have to drive it yourself. So based on your past experience and qualification, and where you stand today, and where you would like to go forward in the next five to 10 years. If you have consciously decided that you want to basically have a play in the end
Lilia, one thing is for sure that the number of jobs are always increasing now in the automation area, and of course, you know, using ml, so there is no doubt about it that the space now number of jobs, you know, the number of jobs, which are going to be high paid jobs, it definitely is going to be ml. And this is going to be a skill, which is not people who are adopted early are going to take advantage of this for the next, say, five to 10 years. Right. So essentially, my view is that, I think I'm sure all of you would have done your homework. I think this is the right time where you will go and catch on learning, build up this particular skill, and then get into an area either within your company if there's an opportunity, or you could also look within the industry, right based on where you move, you could move but that's horizontally, you could move to a different area altogether based on your area of interest, but a lot of wider horizon would open up.
Type quiz yesterday. No, go ahead. Yeah, thanks for
But actually what I seen is that not much of it, but I am seeing that a lot of the IoT things are happening on the factory automation like industry 4.0 notification and the mechanic. Friend, even on the design automation also failed, I think this may be useful.
But areas it may be there because I'm working especially on CAD CAM in service where we use the various kind of 3d modeling the 3d modeling analysis office. And the way we create these models and drawings and which can go to the production, production and manufacturing industry with the use of that they can able to develop the products and the manufacturing. So this is the kind of area where I'm working. But then what I'm seeing is that like, in these areas now like a desire to like clean
Industry 4.0 is coming, where they can
connect all the missions mission to mission no matter mission more or less weight gains. So maybe in that area, so this if I having some skills, whether it is useful, like because I'm having the mechanical knowledge and production experience, this knowledge of this idea and whether it will fit into those kind of jobs.
token, Can I just add to it?
Yeah, so if you're not already mechanical right? And see, one of the prominent areas that is going to be opening up is more on robotics. Right? And over there, there is a lot of research already happening in enhancing the AI capabilities. So somebody with, in your case, say mechanical engineering expertise, if you complement that with a, you know, add on knowledge on how to, you know, enhance your skill with artificial intelligence, I'm sure there are a lot more jobs that will be opening up in the next few years. So
I think there are certain prerequisites that obviously that, you know, all of us need to go through that we went through and, you know, people who are getting into this particular space, for example, the language itself, right, for example, right now, I think the most popular language that we, you know, see and we all have gone through in terms of training was Python. So, having a good level of understanding of Python is very critical for this particular program. And then a level of understanding of mathematics statistics, these are very important, and then how you use that to, you know, build AI, or ml algorithms, you know, that comes next, but I think these are the building blocks. But yes, to your point, coming from mechanical, I feel like there is definitely a lot of play that you would have, if you provided do the right, you know, research and find out where exactly are the use cases and the kind of either robotics or other areas where you can kind of find those opportunities.
Okay, all the best, you know, let me answer the type question because if too many people not only are they will scroll away to be difficult for us.
wish to earthen GRP systems see all systems will which rely on a large amount of data and can benefit from
building models which predict future behavior of those systems purely based on data.
I don't want to get into a technical discussion here, but when you say we are building an artificial intelligence or machine learning system, we are saying we are building a system whose response is defined purely by the data not by the programmer defending the response not by the programmer writing if then else statement, but the system designing based on the data if any system which has that sort of data, definitely yes, it would be, it would find a way of incorporating M. So the RP system per se may not change, but the institutions and industries that use the RP systems, a large amount of them will have data and the way that data is ingested.
taken into account for business nations that is going to be part of AML in for quite some time to come okay Tripoli background freshers
for freshers the Tripoli background it's going to be a
you have to look into what type of startups are looking into hiring freshers because big companies they want to hire someone they are likely to look for a masters or someone so, but quite a few startups have an opportunity for all of that but he loved established how well you can contribute in early stage.
So, you will have to do a little more background work
to look into that. It also depends on what other work you have done so
that is about that now power Raja nagaraja. What is the role of statistics Well, some people even joke that AML is nothing but statistics in there.
Your dress and you are a statistic graduate and if you're still strong in statistics, you definitely will add an extraordinary amount of value to any team in your organization or in any organization with a strong IT band for that matter Chandrashekar latest technologies, health care COVID
is brand new. So, anyone says they are applying AML they are simply It is like someone trying to do some homework, nothing a lot of effort is going on in putting the data that we have on hand around COVID to see whether they can apply the ML techniques to come up with some new insights. It is still a very nascent field healthcare there is a large amount of ml going on because of this what I just said Amy's industry, any domain, any problem where there is a huge amount of data, and the data alone is enough to give you some insight as to what is happening here.
animalism flickable to give you an extreme example,
to confirm a cancer diagnosis, there is a protocol that five doctors have to sign off all of them saying that yes, the person has cancer. Now, some hospitals have started putting four doctors in and the Fifth Doctor is actually a program which looks through the same data and decides whether the symptoms of cancer or not like that, a lot of applications in the medical field are coming on. It is also expected that particularly in the area of pharmaceuticals, building new drugs, it will be a major road.
This program is not a placement oriented program either so you if you are currently not in it, if yes, your existing ID experiences they will definitely be taken into account. But more important would be where in what domains that it experience was for me
You are building systems for our retail. Yes, that is very interesting for people that are building systems for manufacturing that is extremely interesting. FinTech very interesting. So the domain is as important as the number of years of experience, and
quite a few people have switched fields through our program, though we do not offer placement as part of this program.
Mr. Chakravarthy, what is the scope of doing this course a large number of faculty are doing this program primarily from the perspective of starting to teach the ML courses in their colleges because I believe that all the universities have started introducing one or two papers in ML and saw I think JD was actually introduced a B tech in a so yes, every batch we have three or four faculty doing these programs from different engineering colleges.
Whenever we talk to them, they're coming this they see opening for them.
Their own college or in other colleges to teach this subject so they're doing this, Milan Yes, there are a large number of free courses if you can learn from the internet, please do so.
Because the world's best brains courses are available on the internet. For example, one of the world's top most experts is someone by name Andrew ng, and his courses free. And he's a brilliant teacher.
So you if you have both the discipline and the ability to learn from an online MOOC, that is what you should be doing today. Because today, the amount of content available for free online for any subject is high and for HTML, it is particularly high. So that is what I would encourage you to immediately if you're as I'm assuming when you typed it, you went to type triple it. The advantage of a dribble it courses you get to interact with the faculty if you have a doubt in a MOOC since it's a prereq
of lecture, it's very difficult to continue. If you're stuck at one point, you can't move on to the next point till that is clarified in a move that cannot happen. Or when you're doing your homework, you are stuck. Who will ask for doubts, those issues are what we find. In our experience, a very large number of students who join to play these scores actually have done one, and sometimes more than one MOOC courses, completed them. And after that comes saying, You know what, I did this course, I got some knowledge, but I really didn't get a handle on what I wanted to know. Jonathan, would you like to add some from your experience and the experience of your batchmates? Yeah, so I think in our batch, we had about 170 people, right. And all of us had done a lot of homework, right? And you know, right once this job, when I started doing the research, once you have typed ml courses, you continuously keep getting ads that will keep flat, you know, flat, your mailbox, every corner. So whether it is you
No Great Lakes, your triple ID Bangalore app, grad, your MIT all of that, right? I personally have attended a lot of orientation sessions myself also, a lot of our colleagues did that. I think what really happens is, you know, when you, you know, I personally had signed up and paid for some of them the Coursera Udemy programs. Also, Andrew Inge is there as Professor shokan was saying, I think the challenge happens is that after point, you know, you kind of lose interest and the discipline goes off, unless you really are completely, you know, into making sure that you spend that four hours that is required on a daily basis, you know, or lockout, you know, eight hours on a given day on the weekends, right, otherwise, it becomes very difficult. And I think the other partners are recognized body giving you a recognition, right, and there is a very strict, I would say,
evaluation criteria and there's a certification. So, when me and my colleagues we basically many of us evaluated, we thought, you know, suppose you know, you have to have a credible
degree and have to speak
to, you know, a customer at a CIO level or a CXO level, when you say that you've been working with certain professors of triple ID, right, who are all educated on some of the top universities with the PhDs in some of the leading areas on AI ml, it's a very different respect that, you know, you end up getting that is number one. Number two is I did compare the price points, for example, the ones that are from other universities or the institute's and the content that was there, and the way they had structured their program, right. And I felt looking at that as well as the seniors the previous batches who have done the program, I think triple it made a lot more sense for for at least in our many of our case, because it seemed to be much more value for money. And also, I think, you know, the biggest advantage with talent spring was they always said that you could at any point in future come and repeat because many a time I think that was very appealing because many a time you know what happened is many of us felt that in such a you know period of time three to four
months, can we absorb everything? Because it is quite a bit of homework that all of us need to do along with our jobs. Right. So I think what talent spring really kind of provided us is that flexibility, which I don't think, you know, in many places we would have got, and flexibility and assurance to kind of keep in contact with the professors with a peer group. You know, all of us had a fantastic hackathon groups, we would have all of our respective WhatsApp groups. And I think that the people working from you know, in our group, we had people, many people from Microsoft, Google, Salesforce, Amazon, Deloitte, you know, you name it, I think every particular company was there, right? All the top product companies, Oracle web services companies, you know, everybody and you know, within this group itself within two months, three months, you know, there are a lot of people who are kind of sharing the internal job postings, many people got jobs within. So it was it's even today, it's an ecosystem. You know, we still have the whatsapp group continuing. We have our LinkedIn, which is the alumni group where we continue to exchange so I think it is like becomes a small family.
It's like you know how you pass out your B tech after four years, and you connect with your, you know, your classmates, same thing is happening, I think we are much more mature classmates, many of us discuss a lot of new startup ideas within the group. There are people who are volunteering to work with other people on how to help each other to build up those ideas. And you know, somebody stuck in a particular ml problem, somebody else who's more hands on has experiences solving it. So this peer group, I think, this is amazing. I mean, which talent spring provided us and the triple it professors have been outstanding. So and with with a showcase leadership, you know, the way he is conducted, the best the first set of Python basics, I mean, that basically became a differentiation. But yes, I would warn all of you, you have to do your homework and see when we have an open ended place where you know, you don't have a deadline. You just set your own speed, you tend to kind of deviate and never finish something. Yeah, sorry. Are you saying something?
I was just, I was just chuckling at the homework. Okay.
So I think I saw no question about, you know, somebody who said, I'm three years experience and a fresher. How can I earn teaching experience, right? So I would say this right? Today, if you ask me, I personally, I teach. I've been in the industry for 25 years, but I've been teaching at IMT, which is a Management Institute for the last 10 years, and I love teaching. And I think to be honest, in in most cases, 90% of your confidence actually gets built. When you start teaching a subject after you learn it. Until you really start teaching you really don't know and you will interact with a lot of the, you know, I would call them the professionals who are working at talent spring as the coach, they all are doing their PhD or their masters in in triple it, and they will basically be coaching you that doing the thesis in different subjects, and they're hands on and very practical. They're like students, so that particular guidance that you would get working with them is amazing. And anybody who's looking to like somebody said, like three years I'm fresher, that's fine.
Because after you do this program, you get credits. And I think you get what replied it all I remember, you get, I think a half a semester credit if you want to do a ms or MTech from triple ID right. So those are things which will open up for you. And let me tell you, you know, all of you have a long journey and have you you know, I think for most cases, maybe you're not 20 years plus. So I think with the current level, you know, where the situation global situation is, I think personally, it's the right time to learn, because you have an option to work from home, you don't have to, but you're saving time maybe in one two hours of commuting to office. So all the time, you can basically you know, invest in the learning and when there is a mentor, there is a professor, there is a person from the lab, who will enable that learning for you.
Okay, let me take the other questions a little fast.
emelin cyber security. That is a very, very big topic.
Yes, in fact,
for the VIERA, no cybersecurity course with IIT Kanpur and they do talk about how the conference is interesting. But that that is a topic which is very specialized. I have no idea of that. All I know is yes, there are a lot of AML which is relevant to cyber security. During MTech and learning my online classes, it's solely up to you, Sunil.
depends on where you're going to do MTech from first second, what do you want to do after that? If you're looking for a job?
Then doing a program where you're doing a B tech or more importantly, building up your resume well during building up your skills while you're doing a beta kitchen is a reasonably good plan.
If you want to do research, then of course MTech is the way to go or direct MS is a way to go.
Which capabilities analytics okay.
and ml are very closely related analytics analytics ends up being the provision of intelligence in some form of reports to a
human who finally takes the decision, the ML system tend to be a lot more autonomous for example, an ml system can do most of what analytic system do for example, their ml system can drive a car, but no analytic system is going to do that. In that sense. There are areas ml is a lot more widely applicable, but there is a large degree of overlap between the two. Yes, there is. The course does cover reinforcement learning.
Yes, there is a lot of work happening in the defense sector by contract. In fact, we have quite a few number of people from the defense who have been deputed by the government to do this very particular program. If my memory
Right over the last one year we have had more than 12 people at very different levels who have attended attended this program and often they do come and ask for our short
workshops also. So, yes, there is a lot of work in AML in defense area.
Yesterday shaker you need to know probability and statistics you need to be familiar with the concepts and be comfortable with how they are applied.
They when done Yes, it is possible for you to be an individual contributor, but that also is as much a function of the nature of projects you work on the type of organizations you are in. But yes, it is possible quite a few people in the batches have done that. But everybody's story and mileage will vary a little
Mulisch, these tech these terminologies
These big data, ml analytics are all closely related and the definitions are literally changing every three months. So yes, I would say big data processing is part of the work required by ml systems, not the only thing. But yes, machine learning systems and analytics are much or going to liberate with data processing as one of the things they do.
Yes, they were in the run as an individual contributor as well as the utilizing our experience is possible. Quite a few people have done that.
Yes, the one of the regular people who come to this program we have a large number of people coming from JPMorgan Chase, Bank of America.
These two companies, literally in every West there are about five six people in these two companies. Oh, yes.
You don't get a okay by real time. I mean, I suppose you mean real life. Here, it is not really possible to do a real life project in a short amount of time in HTML. But yes, you could do projects we could help you do that better project is currently not part of the course.
Yes, yo, yes, it does cover deep learning in reasonable amount of detail. In fact, fairly in the first week itself, we'll start talking about deep learning.
All reduce bannerjee I suggest you put up the whole thing by a year or two, focus on learning statistics, focus on learning probability. And maybe next year, you could start looking at some of these courses. venkatramani depends on once again, in SAP consulting, how you can leverage it for in the ML field. Some people there have been a few SAP consultants who have done the course
Again, possible. Monica, there are people who have been from operations infrastructure since have been worked on this program. Okay. everybody's asking for their specific case. Yes. Yeah. You can apply to any industry
buzzwords the difference between data engineer and data scientist chariton. Would that be the answer would be five lakhs per year.
Yeah, definitely, definitely. See, these titles are really meaningless. Yeah, maybe they all mean, you're going to do the same thing.
I mean, it's the, you know, if you become a data architect, I think what really matters is your domain knowledge and how you translate the end business right into a meaningful solution. Because if you are in a position to translate the business problems into a meaningful solution with your, you know, data science and you know, being a data science that's basically up in the value chain, right? When you translate
putting that into a simple solution and converting the kind of architecture that's being given or design that's being given. And you can transplant that into the algorithms into Python programs that will execute right? In that case, you just become a ml engineer. So it all it's a it's a similar hierarchy, right, that you have in any development. Organization.
Okay, then what else?
Okay. Balaji. We will talk about the MS program in a minute. Let me finish other questions. In fact, one of the goals of this program is to get people who are working in the industry, who fall in love with a male and come back and do a PhD, or a Master's, two of our employees from talentsprint are actually doing their masters as we speak.
Yes, if you have anybody who's saying this I have X amount of experience in this field. Can I switch you to question your dog in your industry Do you see a and ml being
Today it is possible to use AI and ml in any industry which generates a large amount of data as a fastcap. That's it.
Oh, whether your particular companies using or your industry in this part of the world is using those are research you will have to do as Jonathan said, for you to find the answer. Data Science and AI are closely related show
snelheid is possibly a good idea to start a little later if you are a total fresher. Yes, you could do that.
But then please remember you are going to be competing against people who have done a masters or a B tech in a mill. So um, you need to be very, very good in order to land a job. This is a Is it a philosophical question? That's going to take us too far away and we'll skip that.
Yesterday material is available but it is not only you're not free for outsiders says out at the moment,
a price and the other details
You will get in even
just nageshwar representing is not something I know anything about. So I can talk about that.
Okay, people raise their hand, I presume you have,
a question as being typed there. So
I just add a couple of points. Please, please. Yeah, so I, I wouldn't discourage the freshers here because whoever my observation that we had, I mean, from our batch out of the hundred 70 people, right? The people who are actually, you know, just out of college with lesser experience within five years said that lot more energy, obviously, right. And they were a lot more hands on in terms of development coding, compared to the people who already had spent 20 plus years. So the people who are at 20 plus 15 plus years are looking for different job roles, right. They're looking at, you know, how to have, how to define problems, how to scope out a problem, because everybody's talking about
Am a but you need to know the language. It's like you're going to France if you don't know French, you just can't even communicate with anybody. So this course is just going to help you to learn. One is a language like Python and build up the skills which is AI ml for you to start having a conversation conversation with yourself, which is you can see a problem and you can at least know how to solve it or figure out from where you can find a solution. That is extremely important, right? So I would really I think if the team who are freshers here would just sort of college is a great time to actually invest in this program if you really don't have a cap on investing, right? invest both time and money. Because if you if you come out with this particular knowledge and if you become like Python ninjas and the ability to understand all the algorithms right all the machine learning algorithms if you really know it, you will definitely crack a lot more openings because they will be a lot of companies which will do hiring of freshers and people who already would have a
A certification like this ml from talentsprint and triple ID, they would obviously, you know, grab those compared to your peers who don't have it. So I would say that, you know, even if you're a fresher, I would say just go after it, because within six months or whenever you finish this program, your confidence level to apply for jobs will be I mean, you wouldn't have I don't think you'll even be thinking about applying to jobs, after six months.
certain jobs on ml, if you do this course, the moment you do this course you apply for jobs because you exactly know what they're talking What does the job description what is expected? Because, you know, what we did? We did chatbots, right? Like exactly what Siri right, how do you really create a chatbot and Professor Chopin was part of guiding us through all of that, right? How do you kind of do image recognition? How do you split certain video? And you know, how are the hacking going on? Then there is so much of debate around, you know, the whole thing about ethical hacking, and you know, so there's so many things than AML world's going on, you will be able to relate to it because there are so
many jobs that are posted by reading it, you will you will not even know can I apply for it, you won't be possibly able to apply for it because you don't have the knowledge today. So anyone who's a fresher here as well, I would encourage that do it because within six months, you will be at a great place, you will get a job which is possibly double the salary compared to what you would have otherwise got.
I think we've covered almost all the sins which we were supposed to do towards the end of the session. What are the few key differences come late, we talked about it in the beginning as repeated.
Boss, you won't get 100% job surety This is not a placement program. This is a program for working professionals on many of the people who come to the program are either sponsored by their companies and so we do not do an active placement. What we do is any company all the companies which say we would like your existing app,
To apply, we publish that information in the mailing list for the people of this program. Okay, so we are not, there's not a placement oriented program. And if you're looking for 100% job security,
we are not.
And the key difference would be that
less than 1% of the people complete any ml course any course online
while the plate hydrobath course despite it being very strenuous, more than 90% of the people complete the program, and almost every
person who has completed it has recommended a few people for the program. Okay, course fee completion duration, its duration is about six months now. It's weekends only program. So rest of the details. I think if there are no technical questions, I could peel off and you could answer the questions. Is that all right? Yeah, I'll take it over. Yeah.
Susan, and Susan, just a couple of questions, I see that, you know, Chandra, and then even string to have raised, let me just give them some context because I come from the background. So, so gender to your point and St. No, I think see, first of all, as Professor Strickland said, right, this is not a placement program simple. It's just kill a patient. And you're it's a knowledge gaining program. So you need to figure out a way of having confidence that by picking the skill, and if I see the number of jobs that are getting posted in this area, on LinkedIn, in monster dice, wherever, right, I should be able to go and at least apply my resume should show that I'm qualified to apply. And I can give an interview right? That's the first step. So now look at look at the questions that she was saying about program managers delivery, so many paste, then in many cases today, right, every company is cutting down, you know, what we call is the non billable roles. So obviously, there is a huge cut of project managers, program managers, delivery managers who are not going to be technical, right? If you're hands on technical and you're billing to an end customer in terms of services company, or you're kind of a product manager for developing a plan.
reduct then you have value otherwise, you know those are getting cut. And hence, it is very strongly recommended. If you want to stay relevant in this industry, you have to get hands on today, right? So whether you have 20 years of experience doesn't matter, because I worked, you know, 25 years back with COBOL, you know, Fortran, Visual Basic and whatnot. And almost, you know, after that I was in leadership positions, but then I literally had to learn Python myself hands on, and it was great experience. You know, when Professor ashokan says NumPy, pandas, you know, these are all the, you know, things that you use for dissecting with the data, you will, you will basically, we will relate the moment you talk to a technical person after that, again, when you have to scope out projects, estimate for them, these are all skills that you will need, if you don't have the knowledge about a subject you can't. So I would strongly recommend if you have time, and if budget is not an issue, go after this. Within six months, you will see a lot more value. And what I heard from Professor ashokan that I think it's more value for money because we finish this course in, I think three to four months. We started in January. It was over in April. So this
is a lot more, you're getting six months. So use the maximum value for it because I think the program was restructured for a little more duration, as well as I think it's a lot more value for money right now compared to you know what it was in our batch overview, Susan. Thanks. Yeah. Thanks. Thanks, Jonathan. So now formally, we'll take it through the session here and we'll see if there are any more questions to be answered here. So, coming to the background of how we started this program, or how this program has evolved over 14 cohorts so far, so they we did a research with a working professionals who are looking forward for their learning preferences in deep learning. So majority of them were of the opinion that programs should be tailor made for professional leads, and they should have more focus on hands on and group or group. So this is the major gritty of learners had these feedbacks and then definitely, they also had feedback like the program should have more of lab exercises which should you don't need the specific needs.
And then learners also wanted an effective peer group. So with this program, that's the reason we have modified and designed this program considering all these four points, the what we talk about the pro practitioners curriculum, I would like ashokan to elaborate on the curriculum part of this program, that it is tailor made for the professionals to upskill their career.
I have a few word brief them about the fact that we claim about the practitioners curriculum to this problem. Okay, I guess ashokan has been disconnected. So
can you repeat the question, Susan, maybe I can take a shot. Go ahead. Yeah. So I was just saying that when we did his research, majority of the participants experienced professionals were saying that they looking for a program that should be tailor made for their professional needs. Yeah. I wanted Shogun to elaborate. Jonathan, you can take it forward from here. Yeah, so I think so to all the not batchmates over here, right. What basically
You know, we, what we always did, right. And after every particular module, there's a feedback that gets captured. And I think from we were in part of AML 12. So over over the last 12 batches, when we did 12 patch, the course got upgraded with every batch, the course tends to get upgraded based on the feedback. Now, there are a lot of, for example, one was on the pace one was on in terms of the sequencing of the modules in terms of, you know, covering Python in depth, as well as covering some of the mathematics and statistics required, right, which normally, you know, sometimes is expected. So they've also released those modules as prerequisites when you have the videos, the moment you enroll, you have those videos which are available, which you can actually study, and that will give you a kickstart two weeks ahead of the program. So that was a very good thing that we all know got it. So basically two weeks in advance, you kind of get the basics of math, and let me tell you all of this maths is like class 1012 right now
You've got mattresses, you've got a differential equation, probability statistics, you know the concept like Mean, Median mode, nothing complex, anything, if you open up your, you know, the class 1012 books, I mean, the mathematics is statistics is just from there, it is not like a graduate level or a postgraduate level, it's just you have to revise.
And then we realized why are these more important today, right? For example, when you have to calculate local minima, why is differentiation? important? We never appreciated studying differential calculus when we were in our, you know, 11 and 12, for example, right. But when we did machine learning, we really appreciated that a lot more. So all the Industry Focus, you know, the feedback that we gave really got built in and definitely, hands on and group work was very, very, I would say, a differentiator, which I'm sure no other program if you do it would have given because you have a concept called you know, Cfu and cf ul, which is check for preparation, check for learning, and then you have a mini hackathons and you have got exercises every week. So it is going to be sprint.
It will be it will demand that you will work with summer individual contribution exercises Samar is with a team. So, you will have to work together within your hackathon groups you will have group of five or seven, where you work together as a project team and that is very good because they divide the project team in such a way that there are some people who are good in development, some people come from project management background, otherwise, if everybody's similar, you kind of tend to struggle. So, there are there when the groups have formed it is try you know, the I think talentsprint tries to make sure that a balanced group is created like a project team. And the lab exercises are pretty much you know, they are up you know, extensive they get upgraded every particular course. So, you have those mathematical like for example, say random forest, what is the particular mathematical algorithm you are doing to segregate data right k means clustering. So, immediately you will have the application of that algorithm in the context of data science. So, there are a good amount of data sets, practical data sets that have been taken. I remember we did projects where it
image recognition, we had to take images of each of ours, like 250 of each indifferent, looking up looking down where you would unlock your phone using your photograph, right. So we did those kind of projects as part of the hackathons. So and what does algorithm is using? Like, how is the face recognition happening? Right? So chatbots, and these are all what you really going to be using in the industry. So these are actual lab exercises that we actually worked on. And the other thing is, you will always see when you work with your peer group, I mean, some people are always going to do some extra homework, they'll do certain amount of learning in different forums, they'll share the various learnings in their whatsapp group. And you will be able to, you know, you will end up learning a lot more in terms of the multiplier based on the peers that you have. So that's what is what really also is a differentiator.
Some questions? Ravi, Kiran has raised the hand.
Okay, Rebecca, did you have a question you want to post it in the chat
Any more full clarity on the details? Yeah, we can please go ahead. You could not. You could unmute and speak if you like.
Yes. Yes. Go ahead, Robbie. I am a PMO working for Tata Consultancy Services. And I'm interested in this artificial intelligence, as I'm also pursuing a PhD part time on big data analytics with reference to banking. Me Your first point actually, you are what you said you are into PM, you're a pm is it? I am a PMO PMO. Okay. So Project Management Officer, you basically manage the operations, the p&l of the project and so on. Correct? Correct. Got it. Got it. Correct. Yes.
Completed TCS. Got it Yeah. And I have a background of banking six years experience two years into telecom and then four and a half into PMO software company and total experience. It is 11 1111 and a half now. Okay, sure.
So I also am currently pursuing my PhD in the topic, big data analytics with reference to banking. So it would be more dealing with operational performance.
For last 15 years or so, row banking has changed with the implementation of big data analytics are trying to implement big analytics and the operational efficiency is evaluation is my thesis. Okay, from where are you doing it? I am doing it in an open in a city as a fully employed employee. Yes. I'm doing it from Dr. br microporosity in Hyderabad. Oh, wonderful. Wonderful. Okay, go ahead. So my point was
mean will it really helped me if I take a and ml separately as a course something like a diploma courses or something will this really helped me in the future because say I mean seeing the situations now and with the learning aptitude changes in the national level and in the state levels, analytics is one thing is one thing. And ml is one thing which will be or mandatory courses for the graduates or postgraduate in next two to three years. So what I am thinking is that if things are not good, I want to change my stream totally, totally from AD to educational background, or just wanted to confirm Am I in the right mode or something that can help me including reading and other things? brilliant, brilliant thought Ravi. So I think you're in the right direction. I can tell you that because
as you rightly said, You've tried out different roles, project management in different domains, and then on the PMO side right now, and anywhere with TCS and you know, of course PhDs definitely got various focus on a particular very niche topic. And you're In which year of your PhD right now,
I joined in 1920, but just completed the pre PhD exam on Corona, we are not in next stage, but but the first phase is completed, we have still three more stages to go.
rd, then progress report and pre submission. Yeah, so when I'm answering this, I mean, this could be applicable for many of you who are pursuing or looking forward to, because even triple it provides an option to do integrated PhD. You know, and they start off with first you have to do the ML, you qualify to do the MTech or the MS program, right. And that is only IML again, and you get a credit for I think, one semester so there are
multiple things that you get an advantage and then post that you can do PhD as well. But if you're already doing PhD, Robbie, my point would be that in PhD when you're doing you will not possibly have access to professors or even a peer group where you will be able to get hands on, in all probability you will end up doing a lot of theoretical work, which is good, no doubt. But even if you switch into education ever in future after your PhD, the moment you have a hands on knowledge, you will get respected. Right? You know, see, I myself, I can give it my example because I did. I was a delivery leader, you know, handling global p&l for many years. And then, you know, when I decided to start off my something on my own, I first decided that, you know, when I'm talking to the CIOs, or the, you know, the cxos, right on any new businesses, if you're not in a position to have a conversation, right from business to the technical layer, you can't really scope out a solution and close the deal, right? And same, the same is gonna happen if you want to be respected.
By your students suppose you're teaching, suppose you're teaching for example, if you do a PhD, and you have this ml in your hand, let me tell you, PCs might actually nominate you to become a part of the learning group where you start actually taking classes within TCS, you don't have to look outside, right? Because I can tell you one thing Ravi and everybody, today, there is a huge gap in terms of capable people who can teach good python programming and AI ml. Watching videos and learning is that everybody would become a master, it doesn't happen.
So another thing is a credible Institute which is behind you, right? That gives a lot of confidence not only to you, but the people when you say, Hey, I did this program from so and so place they are immediately believe, oh, this is a well respected program and Institute right. So that would give you a lot more confidence. So to your point, with the doubt that you have you, I think, don't have a doubt you're in the right direction. I think you can blindly go after it if you don't have a time constraint and because of the PMI, I'm sure you're able to manage your time. So if you can invest up
You know, on a given week, you know, three to four hours per day for the next six months. And the budgeting is not the problem, invest in this program, you know, breaker breaker fixed deposit, that's what I did. I didn't go for any loans. I just broke off my couple of things deposits and I just upfront paid up and I just decided to go for it. That's it. And I think it's paid off pretty well today. Whenever I see jobs descriptions and of course I run my own company and I had always decided that I'll take a two year break to decide whether I would ever go back to the corporate world or not. But you know, I think this theory always follows in I do teach and I enjoy teaching. So they say Pooja Raja with one servitor puja day right? So there is nothing that's gonna beat knowledge acquisition, if you can really acquire this knowledge, you will have a huge amount of benefit in the coming few years. You will take it from me your carrier is going to get diverted in a new dimension.
Sir Sir, sir, thanks that and that was really
just wanted to understand I also cracked the net examination eligibility
exam So, okay, would it be possible that I shift my PhD from university to replacing see that I wouldn't know because I know AAA the criteria is very strict, okay. And they have very few seats. And they basically even when many of us our AML students wanted to apply and we spoke to the professors, they said there is a you will the people who do the AML they get a preference, no doubt, but you still have to go through
this admission process. And I don't know if Susan is aware, but you can find out you go to the AAA website, you can see that people who do the AML program they get a one semester credit, but there is they also get some kind of a credit towards entrance, but on the PhD there is no direct I think, admission to PhD, unless you have done a MTech or Ms. From I think one of the triple it or IITs with the whatever the relevant scores that they look for. Look at the website. I forgot because it was about three, four months back. I looked into it. No problem. No problem. Sure. Okay.
No, you had a question What
question is, can we have a startup company by using this program in his own field of mechanical engineering services connecting to you IoT, so, okay, all right. So, I think it depends it depends on your vision as to you know, I think
this is basically
startup company by using this program in my own field. Yeah. So, I think you know, my answer would be, it depends purely on your vision number one, and number two is see typically, if you look at two things drive business one either you're developing a product for then you need to have deep pockets where you have to invest and you should be confident that you can sell it to somebody or there is you need buyers after you develop the product, you need buyers right. So that that is very critical. Number two, best way to develop such products is get that first customer
Because then as a services business, sign up as a small project dues and a duel, dude, as a prototype, get the customer to pay for you if your idea is brilliant, get a customer who's gonna pay for it and start developing the prototype, let the customer see success and then start developing a project for the customer. And then when you do it enhance that particular project into a future product which can be sold to multiple customers got it, but yeah, because see, and I would never recommend you to jump into a start developing a you know product and in IoT and start investing a lot of your pocket money and your savings and then figure out that Oh, there is no buyer right now or you know, what I did? There is already 100 companies which are already selling it, which I was not aware of. Got it. So you have to do your homework very well. And my advices when you develop something in such a case a startup have like a company which is behind you, which is sponsoring your idea.
Yeah. But yes, theoretically, you can definitely take up multiple Raspberry Pi's get the GALILEO boards you
Don't get get them to get new connector, figure out some IoT use cases you can you know, do a lot of things definitely theoretically Yes, you can do a lot of things with you know, your mechanical engineering experience with robotics IoT all of that you can do.
another question, I think, explanation understood, undergo this program, we can create a differentiator in existing company or new company. Absolutely, yes. I think, you know, when you have this knowledge, and let me tell you, when you do this program, you will do it with a lot of passion and discipline, because it is tough, it is not easy, you know, those mathematics are really kind of, you know, it's basically class 10 1112 mathematics, but if I, if I give you a simple differential equation problem, even today from your class 1112 you can bet that you know, all of us will struggle, right. So, you have all of us have to kind of really go and study all of those concepts in and out. And wherever this I don't know, Susan, when is this bad supposed to start?
That's starting on August 23. Okay, August 23. So I would really recommend, what you should really look at is there a lot of good python.org pick up the basics of Python quickly, and you need to just go to collab, you know, Google collab that's all free, because Python, you do not have a good sense of Python programming because obviously, the program is deep. The other is learn about the machine learning algorithms. And by the way, talent spring has already given a lot of good videos, which is available on YouTube, just go to search and search talent spring, you will see there are very good videos on python programming. There are a lot of good knowledge base, which is available, which are actually classroom recordings as well, right. So you can pick up some of those videos from talentsprint, which are there online and do the Python module prerequisite and a little bit of basics of mathematics for ml and statistics for ml, because you have about 20 days or so. You know, I think two weeks, I spend about three, four hours every day to in a disciplined way. invest your time to learn this because then you will be able to kind of you know take full advantage of the program.
Okay, so what is the other question?
So stridor nakisha has a question. I'm a web designer and how AML helps me in getting a good job. Okay. So negosyo you are in. You are a web designer or a developer.
There is a designer are you into UI UX?
You can unmute and speak if you like Nagesh era
Naga shirt. Oh,
I think I've just explained, I have unmuted you. Yeah, I'll see basically see, I'm a web designer.
And I want to develop the web designing concept and propagate it. It may probably be done.
I'm already sleepless. So it I think I may not be getting a job but seeing at home, staying at home, how can I develop the web design concept? And okay, a man can help me on this particular function. Got it? Okay. So what's your total experience? I have more than say, I am having a different type of experience starting from mostly and finally dumped into the
Information Technology. And I was having experience I was a employee in general organization. Well, Mumbai, okay. Yeah, there I actually woke the agendas around 60 years. And
I spent there in Mumbai around 30 years. So total experience is about 13. Is it? Yeah. Okay.
total experience is around 35 in all different fields including this it comes three five, yeah. Okay
35 Okay. So, now, when you say web design, what tools have you been using in the last few years?
after coming to Hyderabad, ninth 2018.
I started learning this web designing concept in image image technologies in my mother firewall. Okay. So I can tell you negation are based based on my experience in my hackathon group, we had a one of my batchmates His name is Barbara T, and he is from the UI UX group. So which is the user experience? So he uses all the UI UX tools and he's he's got about three and a half years experience in TCS and he was purely in your area which is into the design part. And he so I think every person has a different reason to take up this course remember that because there are there are certain
People who are running their own companies, right? There are certain people in in your case like, you know, web design. So there is no one specific answer I can tell you, where will you where it will help you because based on your duty roadmap, right, next five to 10 year roadmap, how do you want to use the knowledge is totally up to you, for example, as Robbie was saying, he wants to keep a backup as a becoming a professor, right? He can become a teacher, because if you if you all just go to Google and see ncrt and cbse, they have launched the new curriculum, where AI ml has become part of from grade eight to 12. Okay, where will the teachers come from? Think about it, right? You can imagine the tsunami of teachers that will be required to train people now. So I mean, it's a perfect time. I mean, if you already have a good amount of past experience, you already know web design. You got so much of experience in the industry. Yeah. And if see if investing CV end up spending so much of money in so many places, you know real estate, this that and what
Not, but this is what you're investing in your own self. Right. And you're getting a credible Certificate of company, I mean, offer Institute like triple it. So and you know what i heard before I was joining this particular call, you know that the price which we paid is much higher compared to what you guys have to pay for a longer duration, which means it is a lot more value for money for this batch, right? And because it's basically that stretched it slowly so that you know, all of you can learn very well, because all of us when we did our ml 12 one feedback everybody said was, wow, this was like super a bag, you know, kind of a concentrated pack of a lot of stuff that we had to study within three to four months of time. I wish we had a little more time to digest it. But I think it is very good that they've taken the feedback and have restructured and increase the schedule and decreasing the price point cost, right. I mean, many of us spend about two and a half lakhs right for the three to four four month program. But again, it was value for money as I said, because today we all have our stop editing.
Different level, we talk various white papers that are getting published at different universities, we can read those papers and understand because we know the subject, right. You know, like you'll hear Professor shokan saying that pandas is a Swiss knife for handling data. What does it mean for example, data handling understood now? So all those libraries have part of Python, then what is the life cycle? Just so you heard about somebody in life sciences or healthcare? So what are those libraries that are used? So every group like scientists are using different domains are using different types of libraries. So totally depends on which horizontal or vertical you want to specialize. Education is always that there is evergreen, you can you know, always when teach, let me tell you a lot of our AI ml batch seniors ml eight 910 11, joint talent spring and they would also teach and they were doing ms at triple ID, right. So that is also always an option where you're working with talent spring, not all because they won't have too many openings. Some of them they would join who are the you know, picked ones and then they would also
left to do an MS and a Ph. D, a triple it. So all these options will open up for you.
Okay, now, I just answered this question, how are the scores going to help me in get an AML project post completion and also for PhD? See PhD, Robbie. Right, Robbie. So PhD, you will have to kind of figure out because that's basically you need to have a master's and then apply for your PhD. But relevant subject is very important. You need to have the right grades and scores. But the AML knowledge that will definitely help you because think about it that you've done the work hands on, right, you know, it, the objective of this is know the scale hands on. All right, I'll give one more answer is, this is from Hari Krishna, how to make how to make framework deep learning. Okay. So if I understood your question correctly, does this okay, you want to talk? Okay.
One minute, let me answer a question then you can Robbie sorry Krishna. Do it
DML the entire fourth module that we studied was all on deep learning. Right? So it was a deep learning neural networks. So though it's it's basically calling it a ml and that's a feedback. He had told the professors that it's good that we should start calling it AI ml dl or, you know, use basically the term deep neural networks. Yeah, Robbie, I think you can speak now.
Yeah, hi. Hi.
Robbie, you need to unmute yourself.
Yeah. Hi. Is it is it clear now? Yeah, but be low. Yeah. Good.
Yeah, it's okay. Wait. Yeah. So I joined a bit late. I actually forgot. I was working on
help you like you from any VA or any development line.
Like how this program helped you? Like, are you are you part of any employer or are you doing any?
I do have any company? Yes. Yes. So I basically you know, have been working for last 25 years in the software industry in the global software industry and across us. In India global global locations, I was handling multiple large clients globally across you know, Citibank, JP Morgan, Chase, AIG, American Express, and also many of the in the health and life sciences side. Okay. And I worked with PricewaterhouseCoopers Wipro, virtusa. And many more, two years back, I decided to start up my own company. And so, and I was always targeting to kind of specialize in this area, because I know this is a happening area, and most of the customers, the CIO cxos, I would meet were asking for, you know, oh, we have a budget, can you help us do something in the IML? Because I need to show to my board of directors or my CEO, that I'm doing some AI ml work. I said, Wow, good. First, I have to understand the animal for that. Right. So that was a primary objective for me to lose.
program because I had to, I need to have the skill and knowledge to even have a meaningful conversation as I was giving the earlier example, if I go to France and nobody speaks to Chennai, nobody speaks anything other than Tamil, can I have a conversation with anybody? No, right. So, communication is not going to happen. If you want to participate in this large growing industry of AI ml, and you know, neural networks and deep learning, you got to be qualified, right? You need to know the, the space. So that is the reason I got into this space to get myself qualified. And then let me tell you, the space is the ocean, right? So, I'm still learning and I'm really enjoying, because but I know that whatever people talk, I can relate to it. You know, I just have to do a little more homework to get deeper and understand. Before that I was totally illiterate. I could never understand Hey, what is pandas? What is NumPy? What does it use for what is random forest? Right? So today, I can relate to all of those and then I can build on it. So I can build on stories. I can scope out new business problems, find solutions to it, I can find people who can come together to solve the problem. So
That has been a big big help okay. So, one question is this program is this program
going to help me to be independent and solve a specific ml problem or I can do a project management job.
So, is that how much attention exposure will be getting? This is this is before before that let me let me tell you my background I have shown working for this ICT industry almost 15 years okay out of 15 years I am working in bi okay this cloud Big Data all this technology I played a BA architect role as well currently working as a
system engineer system analyst. Very good okay. And this is my BSc mathematics is my playground as
MVC. So now my question is, I am expecting an honest answer from your site.
After completing this program, like a ma
To be independent and solve this particular problem using
by developing the code myself or I can do a project management know, and understand the techniques. Okay. So, Robbie, right now you're working in a company, correct?
Yes. Yes. Your job title is of a project manager right now.
Data System analyst, okay, data systems analysts. Okay. So you told me two things. You're a data data guy, and you're also a mathematics graduate, correct? Correct. You will have a huge advantage in this program number one, number two, after doing this program, you will just be hands on. My recommendation is not to jump into a project manager kind of role, because that becomes very soon irrelevant, because you just manage people projects cost budget and so on right after point you again, lose the whole edge of your technical knowledge. Stay in a data architect, track become a data scientist for you. I think within you know, you only have a few years of experience once you do this program and
analyze and if you enjoy doing hands on technical work, and answer your statistics and other areas of knowledge, I'm sure you will just accelerate. I mean, you should look forward to a role of a data scientist either within your company or maybe somewhere outside. But yes, this is a purely going to be a hands on role, it will make you completely hands on.
Right. So I would like to interrupt here we have already gone overboard with the timing and all Yeah, not just started the presentation but we will take a few more questions towards the end of the session shortly just to go ahead with this. details about the program. We started this program in 2018 and almost 13 codes are completed. The fourth one is still undergoing and upcoming will start by August 23. Almost ready 300 professionals have been have completed their program so far. So coming to the participants profile, more, almost 70% of the participants are over five years.
years of experience and 90% are women and 30% are from startups and small companies. So, the beauty of this program is the across the 13 cohorts, the program has successfully completed with a 90% 96% completion and a net promoter score of 75. And this has been consistent from our first batch till our 13 batch and we saw that the score is going to go higher only
about the profiles of the participant which I was discussing earlier. Also we have 42% almost professionals who are more than 10 years of experience and many 8% from five to 10 years of experience from across various organizations to name who are like as Shogun was saying JPMorgan Chase is where the light is there, TCS is there and many other organizations are there and professionals with more than 10 years to, you know, as less as one year of experience join this cohort. Let's
The main beauty of this program that the there are various level of, you know, experience the participants have which they have their own flavor of sharing their inputs in the program and that makes it totally different.
So, this is what I wanted to tell you tomorrow, the bat is going to start by August 23, the application process of enrollment processes still going on, I would request all of you to go and complete the application process. If you need any assistance, you can get in touch with our team you can just drop in a message there, we would be happy to help you out there
anything else till until towards the end? I would like to know from you that how this program like when you made your mind that you want to do an AI ml program. How did you come to you know, final decision that I have to do this program from triple it has about only whereas there are a lot of many competitors, not many institutions who are offering these programs also so what made you took up a variety as abbazia
Yeah, so I think, you know, I'm looking at also the relating your point that you raised, and also the question that Robbie and then
she just posted, right. So I think for me, of course, you know, this PhD is a very long, you know, thing it's five years right and then you got to set prepare for entrance exams, you will compete with all of that. And then even you know, before that, you clearly have to do your MTech Ms. Right, I was looking for a pure bridge Bridge Program, that can accelerate my knowledge, where I can start talking to people, and at the same time, you know, which basically is value for money and where I have access to the professor's. So for me, I think, two three things and I can tell you this
with lot more confidence after after the course, that
especially the kind of support that you know, Professor ashokan and the faculty and the management of talents being provided, where they were very open whenever you had to repeat something, you know, we could always repeat, for example, many times certain topics
Many of us felt that oh, this went over our head. And it was in module set to, you know, how do we kind of, you know, catch up, you know, the professors were so kind, they did a lot of revision exercises, right? their professors from triple it, there are practitioners, senior of like principal architects who come from Microsoft, they're actually working with Microsoft. And they're some of the top global data analytics companies to actually have professors that they're basically from the industry. So the professors who actually teach our combination of professors from triple it, as well as people who are actually working in companies and top positions hands on, like principal data architects with Microsoft, Professor Manish was there from there. And then we had couple of many more who came from the industry. And I've had I got this, you know, feedback from the previous patches, who the alumni they recommended and when I basically chose one was, you know, had a preference for Hyderabad because I was here number one, number two is access to, you know, the information that is there, and some of the prerequisite that they had mentioned
Which was available that given for example, I remember talentsprint had provided a initial Python you know refresher which was also on YouTube. And
third, I would say is definitely the money part of it, because it was significantly I would say value for money compared to many of the other Institute's and when I say other, I will compare it with the your triple it in Bangalore right, because we are talking of same triple it. So triple it hazaribag versus triple it Bangalore. I mean, that is a lot more. I mean, I would say a long duration, they charge a lot of money, but when it comes to value, if you speak to the people, I mean, this ended up to be a lot more value. So people who are looking for like degrees, it's a different thing. If you're looking for certificates. I would like to add one thing. If you if you've seen one of the youth skill development, there was a seminar which Prime Minister Narendra Modi was conducting and he was giving this example okay. So he was saying that there is a person you know, ask Professor
you know, like, he had a question that, okay, you're doing this scale, you know, can I do this? Can I do this skill area? Can I
cultivate my things in this particular area and so on. And then professor, there was some professors along with him also the students, everybody was there. So pm Modi said, okay, where do you Well, so, if I take you in my company, suppose what can you do for me? aapko sector merlijn. Okay. His answer is my graduate. Okay. There's another person who says, ma'am, in a pose that you shouldn't try. Again, Modi is asking the question. Okay, two milliliters kerkia sakto. What can you do for me? Right? Again, the answer is, I'm a graduate of postgraduate or PhD, right. And then I think the Modi loses his cool saying, it doesn't matter whether you're a graduate postgraduate PhD, if you don't know what you can do for me, it wouldn't make any sense right?
So you have to be very clear. What can you do for me? Tell me that then I know that I will hire you to do that job. Right. So I think this will basically make you do the work that is expected from the industry of AML, which I feel you should really go after.
All right over to you, Susan. Oh, while we're answering some more questions, I'll just launch a short poll, I would request all the participants present here to give their views this will help us understand your interest into learning in. So by the time this launches, the poll is launching. And then we can answer some more questions from the chat.
Sure, sure. Yeah, so the poll is already on the screen. I would request all the participants to go ahead and complete the poll. So from the questions.
General, there is a question, what is the role of this program in life science and biotech sector?
That's odd one spot. Yeah. So
my simple answer would be ml is a very, very broad spectrum antibiotic, if you may have to think in that way. every industry needs it. Right? So, look at certain use cases, in life sciences or in biotechnology, right? Anything when it's coming to like Fast Track DNA sequencing, you know, you have huge amount of data. Remember one thing machine learning is nothing but you have a lot of data and you're learning patterns from the data. The biggest one of the biggest areas where you really have huge opportunity coming forward is healthcare Life Sciences for sure. Of course, every industry, whether it is robotics, whether it is banking, insurance, every industry, it all depends on how the entire scoping of the problem is done. Finally, you will realize in every in this particular case, right, if you talk to the senior, most people in many companies, the CIOs or the you know, the view heads experts, they all have a problem.
They want to they have budgets using ml to solve the problem, but they don't know how to do it. Okay, so what is important is translating a business problem and be having the ability to solve that using ml because the ML it's like, I know English, I've learned English, what will I use English for?
Right? So you use English for day to day communication with people who understand English, right? So it is finally it's up to you at what level you want to take it.
any other question? agricultural field. Oh, Narendra. Yes, there are big, big work happening in agricultural fields, in crops, even in triple it. They have a regulatory department as well. So in everywhere, I would say all of you, whatever questions you're asking me, go to Google and research in your application, just say, application of AI ml, in that industry in Agriculture and Life Sciences. Look at the reports that are Gartner Forrester.
Reports, there are so many open reports. And that will tell you what are the jobs in the next 10 years in this area, you don't even have to ask me or anybody, because you may find that Oh, as a student of, you know, a talentsprint, triple it, I may be biased Professor ashokan may be biased, right? But do your independent research.
Okay, so I'm going to end the poll here. And so with that, we come to almost one and a half hours of session, and I hope we have almost covered all the queries of all the participants present here.
On the thank you note, thank you so much. Jaden, Ben for joining us for this session. It was really a wonderful session, we got a lot many insights in terms of programs in terms of AI in the current situation. So that thanks once again for joining us for this session. We would look forward for many other associations like this in future as well. And participants. One last time I would again, request this the program is going to start
Let's go into my team's number is already mentioned in the chat, you can get in touch with us and we will help you, you know, sadio queries and take you through the process of onboarding you for this program. So thank you, Brandon. And thank you, all of you for joining and being there till the end of the session. Welcome. As I think just last two questions that I saw, I'll just answer quickly. We've seen development traction manufacturing industry, when can we expect st No. So, you know, I think there is there is development and even in manufacturing also, you will end up seeing an explosion happening, especially now that a lot of things are moving from China, it may be the right time. You know, just check you may start finding it. Narendra, I think to your answer I can as I said agricultural field Yes, it is there. And you can just look up the use cases there are a lot of in terms of the crop seeds, right there are certain seeds which get infected by certain type of bacteria or you know, locusts. How can you mutate like Monsanto is a classic example. There isn't a gene
mutation and so on right of seeds. So there is definitely a lot of research in that as well. And that's all coming from data.
Last question was which one was that? How many Okay, Robbie's question how many batches do run every year and what is the size of the batch that way? I think let Susan answer or I can add to it after Susan as well. Yeah, so this program is now a six month program with four batches per year would be their participants sizing you know, 200 participants are there in each batch. The upcoming batches already you know, we are completely closing the admissions for the upcoming batch. There's a reason I'm telling you to enroll fast. See, I see many questions in terms of fee the fee for this program is two lakhs plus GST. Currently we are offering a special scholarship in terms of batch launch that is a 50,000 rupee scholarship that makes the fees one lakh 50,000 plus GST comes to be 170 7000 rupees for the program.
Oh, that's a very good deal. In fact, I paid up I think 2.15 lakhs after discount for the four month program. So Robbie 200, don't worry about 200 because you know all 200 will have perfect focus because the methodology itself is 200 is Max in our batch we had 170. You know, then I think the subsequent batch, maybe ml 14 had around maybe 70 or 80. Right. So the intake does vary. But again, what what is important is rubby, even once 70 people we never felt we didn't get, you know, divine undivided attention. Every question that you raise, gets answered by every professor. They have breakout sessions, when you have the hackathon, you will that when the 200 member team will get split into just seven or five people, right? You will be in project teams of seven people when you do the hands on exercises. So that is not the number you can think that you will be in sections of even seven people when you're doing the lab individual lab exercises. Okay. So that is how you will get the hackathon and so on.
All right. So I think cause late for Susan Susan is still in office she has to go back home. That's fine
questions and any further queries can be taken care by me and my team. Surely Feel free to get in touch with us and once again thank you. And thank you all for joining us. All the best everyone, you know make the best use of this program All the best. Take care
Watch the entire interview here https://youtube.videoken.com/embed/jGuKGm8DLw8
Note: This video transcript is generated by AI. Therefore, it may not be 100% accurate.