Build Machine Learning Expertise
with the Leader in AI and Robotics Research
PG Certification Program in
Artificial Intelligence and Machine
Learning
Empower Your Career in Tech:
IIIT Hyderabad's AI and Machine Learning Course
for Mid-to-Senior Professionals
- #1AI and
Robotics Research - #1IIIT
in India - 9Months Executive
Friendly with Hands-on - IIITH Outreach
Alumni Status
Why professionals are
choosing this AIML Course?
Top research faculty Taught by IIIT Hyderabad professors engaged in industry research
Built for practitioners A curriculum designed around real industry learning
2 campus visits Campus immersion at IIIT Hyderabad
Mentor-supported labs Hands-on labs with continuous mentor guidance
Projects and hackathons 132 hours of hands-on projects and 4 hackathons
Immersive learning format 368 hours of live weekend classes and lab sessions
Learning Experience at IIIT Hyderabad
More than 4000+ professionals trained till now
Experience
From Top Organizations
AI and Machine Learning Course Curriculum for Practitioners
- Basics of Python
- Data Types and Data Structures
- Defining and Calling Functions
- Python Library Packages
- Vectors
- Norms
- Matrices
- Matrix Operations
- Linear Dependence and Independence
- Linear Transformations
- Least Square Error
- Derivatives
- Chain Rule
- Integration
- Gradients
- Continuous and Discrete Random Variables
- Mutually Exclusive/Non-exclusive Events
- Independent and Dependent Events
- Probability Distribution Functions
- Cumulative Distribution Functions
- Measures of Centre and Spread
- Normalization and Standardization
Key Python Libraries
- Numpy
- Scipy
- Pandas
- Matplotlib
- Numpy
- Scipy
- Pandas
- Matplotlib
Overview of AI and ML concepts
Principles of ML and Deeper Look at ML
Data Processing and Visualization
Features Selection and Extraction
Intuitive and Simple Algorithms
Classification and Regression problems
Dimensionality Reduction
Representing Text and Language
Sampling Methods
- Bootstrapping
- Bagging
- Bootstrapping
- Bagging
Formulating real world problems for AI/ML
Representation of real-world data
Manifold learning and Unsupervised Learning
Overfitting and Generalization
Performance Metrics
Non-Linear solutions and Multi-Layer Perceptron
Gradient Descent and Backpropagation
PCA with EigenFaces
Support vector machines and Kernels
Natural Language Processing (NLP)
Features for Perception (Image and Speech)
Ensemble Methods, Random Forest, Adaboost
Human in the Loop systems
Introduction to Deep Learning
Pytorch, TensorFlow & Keras
Convolutional Neural Networks
Autoencoders
Recurrent Neural Networks
Time Series Application
Appreciating CNNs
RNN, LSTM and GRU
Recommendation Systems
Agentic AI
Beyond AlexNet and Transfer Learning
Fast API
Deployment and Practical Issues
Model Compression
Siamese Networks and GANs
Computer Vision
ML in Speech and NLP
Industry Lectures and talks
Attention and Transformers: BERT, GPT, T5
Hugging Face Platform & Transformer Library
Fine Tuning of BERT & GPT
LLMs - OpenAI API - ChatGPT, Llama
RAG, Lang Chain
Data Pre-processing, Manipulation and Visualization
Solving Classification and Regression Problems
k-NN Classifier, Linear Classifier, Decision Tree, Bagging Classifier, Voting Classifier Linear Regression and Logistic Regression
Features: Extraction, Normalization, Transformation
Web scraping and NLTK
Dimensionality Reduction and Simple PCA
Text Representation, Generation and Classification
Separability vs non-separability
MLP Classifier and Regression
Support Vector Machines
Ensemble methods - Random Forest, XG-Boost
NLP and Speech processing
Visualization: ISOMAP, tSNE
Training, Validation and Testing
Avoid Overfitting
k-Means and Hierarchical Clustering
PCA EigenFaces
Gradient Descent, Perceptrons and Simple Neural Networks
Reconstruction of Images
PyTorch
Tensorflow and Keras
Recurrent Neural Network
Time series applications
Transfer Learning and Fine Tuning
Sentiment Analysis
Emotion Recognition from Face and Speech
Finding the Optimal route
Image Augmentation, Segmentation and Classification
Object Detection
Video Processing
Transformers: BERT, GPT & fine-tuning
Hugging Face Transformers
LLMs-ChatGPT, Llama, etc.
LangChain & RAG
-
AI
Chatbot -
Voice-based Product
Ordering System -
Anti Face
Spoofing -
Fraud
Detection
Additional topic covered in PG Certification
MLOps & Scalable ML Systems
Production-Ready ML Pipelines
Deployment, CI/CD & Infrastructure
Monitoring, Governance & Reliability
LLMOps & Agentic AI
Capstone Projects
-
Real-time system
for Tweet Analytics -
Food Image
Segmentation -
Talent Retention and
Attrition Prediction -
Identification of Quora question
pairs with the same intent -
Stock Market predictions
based on Time Series -
Prediction of Client Subscription
to a Bank term Deposit - Direct Retail Marketing efforts based on Customer Segmentation using ML based Clustering techniques
- Determine key factors driving literacy rate in the Indian demography using Predictive Data Analytics
-
Movie Recommendation
System -
Predict the future daily-demand
for a large Logistics Company - Achieving image super-resolution using a Generative Adversarial Network
-
Urban Crime Data Analytics
for safety improvement - Breast Cancer classification from digitized FNA image feature measurements
- Exploratory and Predictive Data Analytics using Indian Premier League (IPL) dataset
-
Anomaly detection in Bearing
Vibration Measurements
PG Certification 9 Months
Advanced Certification 6 Months
- Monie.io
- Twenty Newsgroups
- MNIST
- Clara
- GloVe
- Credit Card
- Movie Rating
- Wisconsin Breast Cancer
- Cifar
- Swiss Roll
- IMFDB
- Aptitude Classification
- Human Brain Weight and Head Size
- Bank Notes
- Alphabet Recognition
- Air Passengers
- PM2.5 Data
- Cats and Dogs
- Expressions
- Face Recognition
- Ants and Bees
- Fingerprint
Real-world projects built by our learners
Distinguished IIIT Hyderabad’s faculty
Dr. C.V. Jawahar
Professor, Amazon Chair Professor, IIIT Hyderabad
Dr. C.V. Jawahar received his Ph.D. from Indian Institute of Technology Kharagpur. He is the Machine Learning Lab Head
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Dr. Anoop Namboodiri
Professor, IIIT Hyderabad
Dr. Anoop Namboodiri received his Ph.D. in Computer Science from Michigan State University, USA.
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Dr. Vineet Gandhi
Associate Professor, IIIT Hyderabad
Dr. Vineet Gandhi received his Ph.D. in Applied Mathematics and Computer Science from INRIA Rhone Alpes/University of Grenoble.
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Dr. Mohammed Habeebvulla
Principal AI Engineer
Dr. Habeebvulla received his Ph.D. in Computer Science from Calorx University. Habeebvulla has worked in diverse roles in the software
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Manish Gupta
Principal Applied Scientist at Microsoft Adjunct Faculty, IIIT Hyderabad
Manish received his Ph.D. from the University of Illinois. His area of interest includes Big Data Analytics, Algorithms, Deep Learning
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Dr. Manish Shrivastava
Assistant Professor, IIIT Hyderabad
Dr. Manish Shrivastava received his Ph.D. from IIT, Bombay. His areas of interest include Natural Language Processing, ML, Machine Translation, NLP for Indian Languages.
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Dr. Anil Vuppala
Associate Professor, IIIT Hyderabad
Dr. Anil Vuppala received his Ph.D. from IIT, Kharagpur. His areas of interest include Speech Recognition, Speaker Recognition, Language Identification
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Dr. Anil Kumar Nelakanti
Assistant Professor, IIIT Hyderabad
Dr. Anil Kumar Nelakanti received his Ph.D. from Universite de Paris VI and INRIA, Paris. His research area includes various aspects of algorithm design
Know MoreWho is the AIML course ideal for?
- Enhancing effectiveness in their current role
- Transitioning to AI roles in their organization
- Seeking to advance their career in the industry
- Giving shape to entrepreneurial aspirations
Eligibility
- Tech Professionals with at least 1 year work experience and coding background
What is My Investment?
Application Fee*
₹2,000
*Fees paid are non-refundable and non-transferable*.
Special
Program Fee for Corporate Nominations**
**Applicable only for enterprises nominating their employees as a group
Modes of payment available
Internet Banking
Credit/Debit Card
UPI Payments
Easy Financing Options
Financing as low as ₹12,710/Month
In the News
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IIITH said the rollout was in response to a demand for deep-tech expertise currently sweeping through knowledge professionals in all major technology hubs of the country.
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AI, ML programmes launched across country: The International Institute of Information Technology, Hyderabad (IIIT-H), Tuesday announced country-wide rollout of its...
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IIIT-Hyderabad, TalentSprint launch programme for executives. TalentSprint along with IIITH has launched a new format of the programme. After the success of its....
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IIIT-Hyderabad launches artificial intelligence, machine learning programmes across country: The programme on AI and ML, commencing from August this year...
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IIIT Hyderabad, TalentSprint roll out executive programmes in AI, ML and Blockchain pan India. With the demand for courses on emerging technologies seeing a rise...
IIIT Hyderabad, India's #1 AI Research
Center and ML Lab
Kohli Center on Intelligent Systems (KCIS) at IIIT Hyderabad was established in 2015 to give a flip to research, teaching and entrepreneurship in the Broad Intelligent Systems Area. It has the #1 rated Machine Learning Lab in India and acts as an umbrella organization at the institute to both strengthen the existing groups and facilitate new activities in related areas.
It also acts as a force multiplier in attracting projects and funding from the government and industry sectors, coordinating research in related domains across different IIIT Hyderabad centers, as well as in the institute's research collaboration with other academic institutions in the country. For more information please visit http://www.iiit.ac.in.
Artificial Intelligence and Machine Learning (AI and ML)
Course Overview
IIIT Hyderabad's PG Level Certification Course in Artificial Intelligence and Machine Learning is a comprehensive program designed and perfected for mid-to-senior tech professionals who wish to enhance their career in the field of AI and ML. This 9-month course is specially designed to cater to the needs of practitioners in the industry.
The course curriculum is designed to provide a deep understanding of the concepts, techniques, and tools used in AI and ML. Lectures by distinguished IIIT Hyderabad faculty members and industry sessions by eminent professionals provide a balanced mix of theoretical and practical knowledge. The labs are supported by mentors who guide the learners in their learning journey.
The course also includes a 3-month hands-on project to provide learners with practical exposure to real-world problems. The program requires a total of 9 months to complete the PG certification. However, learners who wish to opt-out of the hands-on project can choose the advanced certification that requires 6 months to complete.
The program includes two campus visits, allowing learners to interact with faculty and peers, and use state-of-the-art facilities. The course is delivered through live interactive sessions. Overall, this course is an excellent opportunity for mid-to-senior tech professionals who wish to expand their knowledge and skill set in AI and ML.
IIIT Hyderabad Campus Visit
IIIT Hyderabad’s AI and ML Course: FAQs
There are 5 reasons why serious professionals prefer the IIIT Hyderabad AI ML course.
- Program specifically designed for working professionals (Starts with problem definition, solution and the theory and concepts behind the solution)
- Delivered in interactive digital format, retaining effectiveness while maintaining safety (Uniquely combines the benefit of the in-class program with the flexibility and safety of online delivery)
- Hands-on program with ideal mix of theory and practice (over 60% of program is dedicated for lab experiments and individual and group work and hackathons with continuous mentor support)
- Lectures by both Academic Professors and Industry Practitioners (a pracademic approach combining strong academic rigor coupled with practitioner perspectives)
- Outstanding peer group with extensive group work (learn along with peers from wide range of industries, roles and positions)
"Structured curriculum with industry projects and hackathons makes this course very effective."
Swaroop Shivaram, Principal Engineer, Target
"The AI ML course gave the real understanding of working with ML algorithms that I could even tackle Kaggle problems. Post completion, I could confidently get into the ML team at my workplace too."
Sravya Yellapragada, Development Engineer, Pramati Technologies
"Doing hackathons with a diverse group of people gave an opportunity to learn and share ideas, knowledge with them."
Tejeswini, Project Engineer, Skyrus Engineering
"Hands-on learning, tech support, experienced faculty, exposure to real-world problems - the right way to learn AI/ML for professionals."
Sai Kiran Gumma, Vice President, JP Morgan Chase
Industry is clearly looking for professionals who can build AI/ML applications. Professionals with hands-on experience will be preferred by the industry.
This program is designed to reach higher levels of learning as per Bloom's Taxonomy. The program will not only help you Understand, but also enable you to Apply, Analyse and Evaluate which are far higher levels of expertise.
A participant will do 40+ individual lab experiments and 8 mini-hackathons. In addition they will also be participating in 4 hackathons, which includes select kaggle experiments. This will help the participant not only learn and implement AI/ML but also showcase your expertise for the industry to recognize.
Industry needs professionals with technical expertise and domain expertise to work together to solve today's challenges. Generally, domain expertise comes with experience, and tech expertise comes with young professionals.
As AI/ML has recently entered into the main-stage for companies and professionals, and the education system has very limited capacity for producing fresh graduates with AI/ML expertise, the industry is facing severe shortage.
This has opened up great opportunities for working professionals. Those who are developing AI/ML expertise now are in great demand by the industry.
This demand will continue till the education system churns out enough good quality graduates with AI/ML expertise.
This opens up a good window of opportunity for working professionals. If someone enters this area in the next 6 months to 1 year, they will have more than 2 year window to showcase their expertise and become the lead for the new generation that would come in.
Professionals are presented with a unique window of opportunity with AI/ML expertise.
Here's why this is the right time to invest in building your expertise:
- Industry needs more deep-tech (AI/ML) professionals and less gen-tech professionals
- Growth opportunity is available for deep-tech and risk is higher for gen-tech professionals
- Professionals today have more time in hand to sharpen their skills than ever before
The Program will be delivered in interactive digital format, retaining effectiveness while maintaining safety. The format uniquely combines the benefits of an in-class program with the flexibility and safety of online delivery.
| Benefits of In-Class Delivery | Flexibility and additional value of online |
|---|---|
| Synchronous program delivery by expert faculty | Re-attend classes through recorded archives |
| Interact and get your doubts answered by faculty | Access videos easily with searchable and indexed video archives |
| Work in group with other participants | Learn from the comfort and safety of your home |
| Get support from mentor for labs and experiments | Office hours with one-on-one mentor support |
Program will be delivered on TalentSprint's iPearl.ai, a leading digital learning platform.
About TalentSprint
Dr. C.V. Jawahar
Professor, Amazon Chair Professor, IIIT Hyderabad
Dr. C.V. Jawahar received his Ph.D. from Indian Institute of Technology Kharagpur. He is the Machine Learning Lab Head, Dean (RnD) and Amazon Chair Professor at IIIT Hyderabad. He is a renowned expert in Machine Learning and Optimization, Document Image Analysis, and Computer Vision.
Dr. Anoop Namboodiri
Professor, IIIT Hyderabad
Dr. Anoop Namboodiri received his Ph.D. in Computer Science from Michigan State University, USA. He is associated with the Centre for Visual Information Technology. His research interests include Pattern Recognition, Biometrics, Document Understanding, and Computer Vision
Ravi Kiran
Assistant Professor, IIIT Hyderabad
Ravi Kiran received his Ph.D. from the Department of Computational and Data Sciences, Indian Institute of Science, Bangalore. His research areas include Computer Vision, Machine Learning, Virtual Reality, Robotics, Affective Computing, Document Analysis and Multimedia.
Dr. Vineet Gandhi
Associate Professor, IIIT Hyderabad
Ph.D. TU Delft, Netherlands
Dr. Vineet Gandhi received his Ph.D. in Applied Mathematics and Computer Science from INRIA Rhone Alpes/University of Grenoble. His research areas include Computer vision and multimedia, human detection and tracking, computational photography and cinematography, depth reconstruction and applications.
Ashokan Pichai
Chief Learning Officer, TalentSprint
Asokan holds a PG Diploma in Computer Programming. He is an Industry Instructor, Instructional Designer, and Programming Guru, with a software development experience of over 35 years. His subject-matter expertise includes Programming languages - COBOL, Clipper, C, C++, Python, Haskell, Elixir, Clojure, Java and Ruby.
Dr. Mohammed Habeebvulla
Principal AI Engineer
Dr. Habeebvulla received his Ph.D. in Computer Science from Calorx University. Habeebvulla has worked in diverse roles in the software development cycle as Developer and Technical Lead. His areas of expertise include AI/ML, Data Science, OCR, Computer Vision and Design Patterns.
Manish Gupta
Principal Applied Scientist at Microsoft Adjunct Faculty, IIIT Hyderabad
Manish received his Ph.D. from the University of Illinois. His area of interest includes Big Data Analytics, Algorithms, Deep Learning, Data Mining, Information Retrieval and Web Mining, Databases, Text Mining, Machine Learning, Time Series Analysis, Graph Mining, Natural Language Processing, Optimization.
Dr. Manish Shrivastava
Assistant Professor, IIIT Hyderabad
Dr. Manish Shrivastava received his Ph.D. from IIT, Bombay. His areas of interest include Natural Language Processing, ML, Machine Translation, NLP for Indian Languages. His publications include ‘Experiences in Constructing a POS Tagger for Hindi’, ‘Hierarchical Phrase Based Machine Translation Systems for Five Indian Languages’ and more.
Dr. Anil Vuppala
Associate Professor, IIIT Hyderabad
Dr. Anil Vuppala received his Ph.D. from IIT, Kharagpur. His areas of interest include Speech Recognition, Speaker Recognition, Language Identification, Speech Processing in Emotional Conditions, Pathological Speech Processing and Speech to Speech Machine Translation.
Dr. Anil Kumar Nelakanti
Assistant Professor, IIIT Hyderabad
Dr. Anil Kumar Nelakanti received his Ph.D. from Universite de Paris VI and INRIA, Paris. His research area includes various aspects of algorithm design and machine learning applied mostly to problems in language and speech processing and other related problems
Praveen Paruchuri
Associate Professor, IIIT Hyderabad
Praveen received his Ph.D. from the University of Southern California. His areas of interest include Artificial Intelligence, Multi-agent Systems, and Game Theory, Linear/Integer Programming and Applied Machine Learning.