• #3 NIRF Innovation
    Ranking 2023
  • 24 Weeks Live
  • 100% Live Interactive

  • Weekend Only
  • *As per NIRF Ranking 2023

AI Career: Your Key to success in
the tech world

  • The need for skilled engineers who can build, run, and maintain AI systems to go up by 20-50 million globally by 2030.
  • 9k+ jobs for AI skilled tech professionals on Naukri.com
  • AI expenditure in India estimated to reach $11,781 million by 2025

Notify Me for the Next Cohort

Limited Early Bird Scholarship

+91-8977631693 / Whatsapp

“Opportunities in Diverse Roles and Leading Companies"

  • Airtel
    Data Scientist
  • Axis Bank
    IT Business System Analyst
  • Genpact
    Business Analyst
  • NielsenIQ
    Data Scientist
  • HSBC
    Banking Analytics
  • L&T
    Associate Engineer
  • BirlaSoft
    Python Developer
  • Tech Mahindra
    Software Engineer
  • TheMathCompany
    Data Science- Python/ ML
  • Allstate Corporation
    Data Engineer
  • BRIDGEi2i
    Software Engineer
  • BRIDGEi2i
    Data Engineer
  • Altimetrik
    Software Engineer
  • Cactus
    ML Engineer
  • Dhiomics Analytics
    ML Scientist

About IIT Hyderabad

IIT Hyderabad is one among the 2nd generation of IITs started by the Govt. of India. It has been consistently ranked among the top ten engineering institutions in India. The Institution has a unique holistic educational ecosystem that offers interactive learning, a highly flexible academic structure, cutting-edge research, strong industry collaboration, and entrepreneurship. To encourage startup enthusiasts, the institution hosts i-TIC Foundation, a Technology Business Incubator that focuses on creating a supportive and nourishing environment for entrepreneurs. For more information about IIT Hyderabad's Certification programs please visit https://www.iith.ac.in/

  • Ranked #3 NIRF Innovation Ranking 2023

  • World-class Academic
    Research Culture
    With 500 sponsored research projects
    and 3400+ Scopus indexed publications

  • Collaborations with Global
    Centers of Excellence (Japan)
    For projects in disaster management,
    multimodal transportation, and data
    science for agriculture

What Will I Learn?

Python for AI

  • Basics of Python
  • External Libraries(Numpy, SKlearn, Pytorch)
  • Pandas for data wrangling
  • Visualization using Matplotlib

Maths for AI

  • Probability
  • Linear Algebra
  • Calculus and Optimisation
  • Descriptive & Inferential Statistics

Week 1-3: Regression and Classification

    Lecture Topics
  • Linear Regression
  • Logistic Regression
  • Naive Bayes classifier and SVMs
  • Decision Trees and Random Forests
  • Lab Activities
  • Implementing regression and classification models
  • Model evaluation and validation

Week 4-5: Ensemble Methods, Clustering, Dimensionality Reduction

    Lecture Topics
  • Ensemble Methods (e.g., Bagging and Boosting)
  • Clustering Algorithms (e.g., K-Means, DBSCAN)
  • Dimensionality Reduction (e.g., PCA)
  • Lab Activities
  • Applying clustering and dimensionality reduction techniques
  • Building ensemble models

Week 6-7: Neural Networks and Deep Learning

    Lecture Topics
  • Perceptrons, MLP
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
    Lab Activities
  • Pytorch Framework
  • Implementing neural networks
  • Transfer learning with pre-trained models

Week 8-10: Applications of AI

    Lecture Topics
  • Computer Vision (classification, Object Detection and Object Segmentation)
  • Speech Processing and Natural Language Processing (NLP)
  • Lab Activities
  • Hands-on with image processing and NLP tasks
  • Building AI applications

Week 11-12: Advanced Topics in Deep Learning

    Lecture Topics
  • Encoder-Decoder Models, Transfomers
  • Generative AI
  • Lab Activities
  • Implementing and training advanced deep learning models
  • Building and training deep learning models for image generation

Week 13-15: Emerging Technologies

    Lecture Topics
  • Internet of Things (IoT)
  • Blockchain Technology
  • Quantum Computing
  • Responsible AI
  • Lab Activities
  • Exploring IoT, blockchain, and quantum computing projects

Week 16-18: Advanced Projects

    Project Topics
  • Students work on their chosen project
  • Mentoring and guidance provided by mentors
    Sample projects :
  • E-commerce Recommendations
  • Object Recognition
  • Imag classification and other vision problems
  • Text classification and other NLP problems
  • Spam Filtering with NLP
  • Detecting Fake News
  • Deep Learning and Generative AI
  • Blockchain

What is the Learning Format
Available For Me?

By successfully completing the programme, you will be able to shift to new roles that require expertise in autonomous systems powered by AI and become adept at managing and scaling intelligent automation initiatives in your organisation.

Details Online Bootcamp
Program Duration 24 Weeks Live Interactive
Schedule Weekends (Saturday-Sunday)
Classes start September 2024


Delivered by the distinguished faculty from premier institutions around the world

Dr. Antony Franklin

IoT, Mobile Edge Computing, Next-gen
Mobile Network Protocols Systems

Ph.D., IIT Madras
Associate Professor at the Dept of Computer Science and Engineering, IIT Hyderabad. His research interests include IoT, Mobile Edge Computing, Next-gen Mobile Network Protocols and Systems

Dr. Vineeth Balasubramanian

Deep Learning, Machine Learning,Real world
Applications, Computer Vision

Ph.D., Arizona State University, USA
Associate Professor at the Dept of Computer Science and Engineering, IIT Hyderabad. His research interests include Deep Learning, Machine Learning, Computer Vision, Optimization and Real world Applications

Dr. Srijith P. K

Data Analysis, Deep Learning,Probabilistic
Machine Learning

Ph.D., IISc
Assistant Professor at the Dept of Computer Science and Engineering, IIT Hyderabad. His research interests include Data Analysis, Deep Learning and Probabilistic Machine Learning.

Dr. Sumohana Channappayya

Video Quality Assessment, Multimedia
Communication, Biomedical Imaging

Ph.D., The University of Texas
Associate Professor at the Dept of Electrical Engineering, IIT Hyderabad. His research interests include Video Quality Assessment, Multimedia Communication and Biomedical Imaging.

Dr. Maunendra Sankar Desarkar

Recommendation Systems, Social Network Analysis,
Machine Learning

Ph.D., IIT Kharagpur
Assistant Professor at the Dept of Computer Science and Engineering, IIT Hyderabad. His research interests include Recommendation Systems, Social Network Analysis and Machine Learning

Dr. Sri Rama Murty Kodukula

Signal Processing, Speech Analysis, Pattern

Ph.D., IIT Madras
Associate Professor at the Dept of Electrical Engineering. His research interests include Signal Processing, Speech Analysis and Pattern Recognition.

Dr. P. Rajalakshmi

IoT, Wireless Communication, Cyber-Physical

Ph.D., IIT Madras
Associate Professor at the Dept of Electrical Engineering, IIT Hyderabad. Her research interests include Wireless communications, Wireless sensor networks, UAV-based sensing, Embedded systems, Cyber Physical Systems/Internet of Things, Converged network modelling, Energy efficiency and Green communications.

Dr. Sathya Peri

Blockchain, Peer-to-Peer Computing,
Network and Algorithms

Ph.D., The University of Texas at Dallas
Associate Professor at the Dept of Computer Science and Engineering, IIT Hyderabad. His research interests Blockchain, Peer-to-Peer Computing, Network and Algorithms.

Dr. Mohammed Habeebvulla

AI/ML, Data Science, Python, Robotic
Navigation, OCR

Ph.D. Computer Science, Calorx University
Director of Delivery for Executive Programs at TalentSprint. With 10+ years of industry experience, Dr. Habeebvulla has worked in diverse roles at the forefront of the SDLC. His research interests include AI/ML, Data Science, Autonomous Robotic Navigation, OCR, Computer vision, Python, Java, Django and Design Patterns.

Dr. Manish Singh

Data Mining, Text Mining, Social
Network Analysis

PhD in Computer Science and Engineering from the University of Michigan, Ann Arbor
Assistant Professor at the Dept of Computer Science and Engineering, IIT Hyderabad. His research interests include Data Mining, Text Mining and Social Network Analysis.

Dr. Aditya. T. Siripuram

DSignal Processing, Sparse Representations,
Sampling Techniques

Ph.D. Stanford University
Assistant Professor at the Dept of Computer Science and Engineering, IIT Hyderabad. His research interests include Signal Processing, Sparse Representations and Sampling Techniques.

Dr. M. V. Panduranga Rao

Quantum Computing, Quantum Cryptography
and Applications of Markov Chains in Computing

Ph.D., IISc
Associate Professor and Head of Department of Computer Science and Engineering, IIT Hyderabad. His research areas include Quantum Computing, Quantum Cryptography, Applications of Markov Chains in Computing

Asokan Pichai

Programming, Software Development,
Python, C++

PG Diploma, Computer Programming
Programming Guru and Chief Learning Officer at TalentSprint. With a solid software development experience of over 35 years, Asokan holds expertise in COBOL, Clipper, C, C++, Python and knowledge of Haskell, Elixir, Clojure, Java and Ruby. He has trained more than 1000 software engineers, designed over 25 courses.

Vathsala Narasimman

Human Resources, Training and Development,

Diploma in Public Relations, CIEFL Certified Trainer
Vathsala heads the Business Communication team at TalentSprint. With over 25+ years of experience in Training and Development, Vathsala has trained 90,000+ industry professionals. Her expertise lies in Human Resources, with the major focus on Training, Training Need Identification, Course Designing, and Communication.

Surobhi Lahiri

Research and Development, Drug Discovery,

Ph.D. Biological Sciences, Mississippi State University
Principal Consultant for Program Delivery at TalentSprint. She has also worked as a Principal Scientist (R&D) at Vitas Pharma. Her research interests include Biological Sciences and related areas and AI. She is an alumnus of the AI/ML Program by IIIT Hyderabad and TalentSprint.

Dr. Konda Reddy

Ph.D, IISc Bangalore,

Assistant Professor at Dept. of Artificial Intelligence, IIT Hyderabad.
His research area includes Artificial Intelligence Machine learning (specifically Deep Learning), Data Science and Engineering, Computer Vision, and AI/ML.

Dr. Ganesh Ghalme

Ph.D, IISc Bangalore

Assistant Professor at Dept. of Artificial Intelligence, IIT Hyderabad.
His research area includes Game Theory

Am I Eligible for the AIET Program?

You are eligible if you are

  • Recent graduates in STEM fields
  • Working professional with minimum experience of 6 months
  • Basic Programming knowledge is required

How Can I Join the AIET Program?

  • Online Application

    With Educational details and Application Fee

  • Profile Review

    Online assessment and a compelling Statement of Purpose to join the program

  • Selection List

    Participants to be selected based on Online Assessment

  • Enrollment

    By remitting the full Program

The selection for the program will be based on online assessment, performance and motivation of the participants.

What is My Investment?

Details Online Bootcamp
Program Fee
With Scholarship
Campus Visit Fee (Boarding and Lodging) On Actuals
Travel to IIT Hyderabad Campus To be borne by participants

EMI Facility Available Special Pricing for Corporates *GST as applicable

Application Fee of ₹2,000

Campus visit fee will be based on actuals and to be borne by the participants

Fees paid are non-refundable and non-transferable.

Frequently Asked Questions

AI improves industry processes, making machines smarter. It is the future of all complex decision-making. These technologies are impacting every aspect of enterprises today: revolutionizing work, data use, organizational efficiency, customer and employee experiences, risk management, and more.

According to industry reports, companies across industries are investing in AI and Emerging Technologies and AI expenditure in India is likely to hit US$11.78 billion by 2025 and will add US$1 trillion to the Indian Economy by 2035.1

With this rapid tech adoption, the role of AI will continue to grow with a significant increase in demand for talented professionals. In 2024, approximately 40% of large enterprises are projected to apply artificial intelligence and machine learning (AI/ML) to all vital horizontal functions.2

Already, hiring for freshers has picked up over the last three months of the year, and the Indian Job Market is expected to witness 22% growth in AI related jobs over the next 5 years3


A career in AI is not only attracting aspirants towards it but is also witnessing immense growth. With AI capabilities, students can explore several roles including

  • Big Data Engineer
  • Robotics Scientist
  • Business Intelligence Developer
  • Data Scientist
  • ML Engineer
  • AI Research Scientist
  • AI Software developer
  • Speech Recognition Expert
  • AI Engineer
  • Computer Vision Engineer
  • NLP Engineer
  • AI Developer
  • AI Specialist
  • AI Solution Engineer
  • AI Analytics Manager
  • AI Programmer
  • AI Product Manager
  • Data Analyst
  • NLP Expert
  • Business Analyst and more.

a. Helps you build an in-depth understanding of the latest AI and Emerging Tech concepts along with their real-world applications.

b. Delivered by reputed IIT professors who are at the forefront of deeptech research and implementation.

c. Gain certification from IIT Hyderabad, ranked #8 by NIRF (2023) among the top engineering institutions.

d. Attend faculty-led weekend classes at the comfort of your home while continuing your studies. Apply your learnings in Project Bootcamps and Hackathons.

e. Implement AI Projects at IIT Hyderabad Campus*
Dates will be decided keeping the safety of participants in mind

f. Mentorship opportunities for budding entrepreneurs. Select startups ideas score a chance of getting incubated at IIT Hyderabad.

g. Learn on TalentSprint's interactive AI-powered digital delivery platform and get access to industry experts.

IIT Hyderabad is a top ranked ( NIRF #8) institution that nurtures world-class academic research culture with 500 sponsored research projects and 3400+ Scopus indexed publications to its credit. The program will be delivered by IIT Hyderabad faculty group bearing academic accreditation from premier institutions around the world with specialization in: Data Analysis, Deep Learning, Machine Learning, Recommendation Systems, Social Network Analysis, Multimedia Communication, Biomedical Imaging, Signal Processing, Speech Analysis, Pattern Recognition, Data Mining, Neural Networks, Quantum Computing, Blockchain and more.

TalentSprint, a part of the NSE Academy, brings high-end and deep-tech education to aspiring and experienced professionals. It partners with world-class academic institutions and global corporations to develop and offer disruptive programmes. TalentSprint's online platform delivers unique online and onsite experiences that help build cutting-edge expertise, for today and tomorrow.

Given its in-depth understanding of the deep technologies, access to industry experts, and a state of art technology platform, IIT Hyderabad has chosen TalentSprint as its partner for professional certification programs in disruptive and emerging technologies.

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