
- Batch
03
- Course Duration
10 Months
- Mode
Hybrid
- Commencement Date
12th October 2025
- Application Closure Date
Closing Soon
- Session Timing
Sunday, 1:00 pm to 4:00 pm
Programme Overview
Artificial Intelligence, Deep Learning, and advanced Data Science techniques are transforming industries at an extraordinary pace, reshaping how decisions are made and problems are solved. As these technologies permeate domains such as software development, business analytics, scientific computing, and core engineering, professionals across sectors are seeking to upskill and stay relevant in this dynamic landscape. This executive programme is designed to equip managers and mid-career professionals with a deep conceptual understanding and practical grounding in the core principles of AI and Deep Learning. With a strong emphasis on mathematical rigour, computational techniques, and real-world applications, the course empowers learners to confidently engage with modern AI tools and drive innovation in their respective domains. Through a blend of theoretical modules, hands-on labs, and industry-aligned case studies, participants will gain the expertise to lead AI-driven initiatives and bridge the gap between strategic decision-making and technical implementation in today’s data-centric world.
Admission Criteria

Eligibility Criteria
Qualification: Graduate/4-year Engineering Degree/B.Sc/M.Sc. from a recognized university (UGC/AICTE/DEC/AIU/State Government/recognized international universities)
Minimum Experience: 3 years, preferably in software engineering and/or other disciplines involving computational work. Comfort with basic mathematics is expected.
Preferred Industry Background: IT, Software, Engineering Research, Business Analytics, Finance, etc.
About IITM Pravartak
IITM Pravartak Technologies Foundation is a section 08 Company housing the Technology Innovation Hub on Sensors, Networking, Actuators, and Control Systems (SNACS). IITM Pravartak is funded by the Department of Science and Technology, Government of India, under its National Mission on Interdisciplinary Cyber-Physical Systems and hosted as a Technology Innovation Hub (TIH) by IIT Madras. The IITM Pravartak Technology Innovation Hub aims to focus on new knowledge in the SNACS area through extensive and application-oriented research. IITM-PTF gladly takes the role of preparing young India for the next generation of world-class technologies. The NM-ICPS is a comprehensive Mission aimed at complete convergence with all stakeholders by establishing strong linkages between academia, industry, Government, and International Organizations.

Programme Highlights
Highly recognised Certificate of Completion from IITM Pravartak
2 days of campus immersion
Industry specified case studies
Peer-to-peer learning and mentoring from industry experts
The live programme is entirely taught by IIT Madras faculty
Pedagogy filled with case studies, industry projects & practical application
Admission Process
- 1
Eligibility of Applicant
- 2
Application Submission
- 3
Screening & Shortlisting
- 4
Admission & Fee Payment
- 5
Book your Seat
Unleash the benefits that await you with Jaro Value adds.
%
higher employee retention rate
%
increase in employee productivity
%
higher incomes per employee
%
businesses achieved measurable growth
Companies that already trust us!
Syllabus Breakdown
- Computational Tools
- Needs access to Google online platforms during class
- Google Drive, Colab, Google AI Studio
- Python Programming
- Numpy, Matplotlib, Pandas
- Pytorch essentials
- Proficiency Exam
- Mathematical Preliminaries
- Linear Algebra
- Probability
- Multivariable Calculus and Optimization
- Proficiency Exam
- Machine Learning – Essentials
- Basic Regression
- Basic Classification
- Overfitting and Regularization
- Evaluation Metrics
- Proficiency Exam + Case Studies for submission
- Deep Learning AI Algorithms
- Deep Neural Networks – Basic architecture and backprop
- AI for Vision – Convolutional Neural Networks
- AI for sequence prediction – Recurrent Neural Networks
- Proficiency Exam + Case Studies for submission
- Generative AI
- Approaches to Gen-AI : GANs, Transformers, Diffusion
- Transformer Architecture – Various approaches
- GPT pipeline – Tokenization, embeddings, position-encoding, etc.
- Capstone Project (presentations on campus)
- Certificate presentation
Programme Fee Details

- Easy EMI options available
Application Fee
INR 2,000/-Total Programme Fee
INR 1,80,000/- + GSTInstallment Pattern

Instalment 1
INR 80,000/- + GST At the time of admissionInstalment 2
INR 50,000/- + GST 10th December 2025Instalment 3
INR 50,000/- + GST 10th February 2026Earn a Career Certificate
Participants who successfully meet the evaluation criteria and satisfy the requisite attendance criteria will be awarded a ‘Certification of Completion’.

Hear from our Alumni
Know the Facilitators
#YouInspireUs
Unlock Your Path to Success
Unsure about which course to choose? We understand—selecting the right programme can feel overwhelming. That’s why our intuitive Course Finder is here to help you discover the perfect match based on your skills, goals, and interests. Let us guide you toward your next career milestone with confidence.
Find My Ideal Course Find My Ideal Course

Refer & Earn – Amazing Rewards Await!
Share the gift of education—refer your friends and colleagues now! Earn fantastic rewards for every successful referral and empower others to advance their careers while you benefit.
Start Referring Today! Start Referring Today!Frequently Asked Questions
This interdisciplinary executive certification programme is designed to:
- Build a strong theoretical foundation in Artificial Intelligence, Deep Learning, and data analysis, enabling participants to understand and engage with complex AI models and algorithms.
- Deliver hands-on proficiency in both the mathematical frameworks and computational tools underpinning modern Deep Learning techniques.
- Foster contextual application through industry-relevant case studies drawn from diverse verticals, empowering professionals to translate knowledge into practical, domain-specific solutions.
The programme includes multiple case studies designed to bridge theory with real-world application. These case studies span various AI and GenAI techniques and are subject to refinement based on the latest industry trends. Example case studies include:
- Predicting House Prices – Regression modeling
- Customer Churn Prediction – Classification techniques
- Handwritten Digit Recognition – Introduction to CNNs
- Fashion Product Image Classification – Advanced CNN architectures
- Movie Review Sentiment Analysis – Basics of RNNs and LSTMs
- Stock Price Forecasting – Time Series prediction using RNNs/LSTMs
- Synthetic Digit Generation – Introduction to GANs
- Text Summarization – Using Transformers
- Contextual Question Answering – Transformers and GPT pipeline
- Text-to-Image Generation – Exploratory work with Diffusion Models and Transformers
Participants will get exposure to:
- Google Drive, Colab, and AI Studio
- Python and key libraries: NumPy, Pandas, Matplotlib
- Machine Learning & DL frameworks: PyTorch, scikit-learn, TensorFlow
Yes. Participants who meet the evaluation and attendance criteria will be awarded a Certificate of Completion from IITM Pravartak.
- The applicant will be able to use the methods taught in this case to interface with other teams and incorporate them into his or her business case. Additionally, it will assist candidates in transitioning into careers in machine learning and data analytics.
- Middle-level executives can benefit by understanding the strength and limitations of these methods in their business case.