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Future leaders are increasingly expected to leverage artificial intelligence (AI) to prepare their organisations for challenges and opportunities. This involves not only understanding AI’s potential but also strategically integrating it into the organisation.
Also, becoming a full-stack, AI-ready professional usually requires multiple programmes across AI, ML, GenAI, and agentic systems. This integrated course combines them into one structured journey, through the fusion of two highly in-demand IITM Pravartak courses so that you can save 17% more while learning smarter.
-> Course 1: INR 1,30,000 + GST
-> Course 2: INR 1,25,000 + GST
-> Old Programme Fee Total for Course 1 and Course 2: INR 2,55,000 + GST
-> New Programme Fee: INR 2,10,000 + GST
Therefore, by enrolling in the Advance Certificate Programme in AI, Machine Learning, and Agentic AI, you save INR 45,000 or 17% on total programme fee.

Unique Two-Phase Programme Design
Taught in two parts: Foundational AI ML and cutting-edge agentic AI applications

Learn from IIT and IITM Pravartak Faculties*
Video lectures and select masterclasses by IIT faculty; few masterclasses by IITMP guest faculty

Save 17% More With an Integrated AI Curriculum
Eliminates the need for multiple courses, saving INR 45,000

9 Certifications for Global Recognition
Earn 3 IITM Pravartak certificates and 6 IBM industry credentials

*Highest Number of Tools and Libraries Across AIML Courses
40+ latest tools and libraries such as TensorFlow, Keras, Scikit-Learn and more

Advanced Projects for Higher Practical Readiness
30+ real-world AI projects that build serious practical skills

GitHub Portfolio and Kaggle Set Up
Get started on GitHub and Kaggle through programme projects

Emeritus Career Services Support
Enhance your career prospects with Emeritus Career Services and an IIMJobs Pro membership

Latest Industry Research Papers
Dive into real-world studies for in-depth insights

Optional Immersion at IIT Madras Research Park
Visit the IIT Madras Research Park, connect with like-minded AI and ML enthusiasts
*Note:
The programme will be taught in two phases: one will include pre-recorded lectures, select live masterclasses by IIT Faculty and weekly live domain expert sessions; two will include weekly live domain expert sessions and few live masterclasses by IITM Pravartak Lead Faculty.
All programme highlights stated in this section and across the programme are subject to change at the discretion of IITM Pravartak and Emeritus.
All programme highlights and the total number of IIT faculty teaching hours stated here is subject to change as per the discretion of IITM Pravartak or Emeritus.
Math and programme knowledge is required to undertake this course.
Only participants who have successfully completed the programme will be allowed to visit the IITM Research Park campus.
The immersion will only be conducted with a minimum number of learners signing up.
Domain expert is the programme leader responsible for conducting weekly live sessions.
Schedule for faculty masterclass will be shared post programme orientation.
This programme is designed for professionals seeking to harness the power of AI and ML to drive innovation and solve complex problems. Whether you're a technical professional looking to deepen your expertise or a non-technical leader aiming to understand AI's potential, this programme is tailored to your needs.
Specifically, this programme is ideal for:
Data Scientists and Data Analysts: Looking to advance their skills in cutting-edge AI and ML techniques and tools
Software Engineers: Seeking to transition into AI/ML roles or enhance their existing projects with AI capabilities
Business Analysts and Consultants: Aiming to leverage AI to drive data-driven insights and decision-making
Product Managers and Product Owners: Interested in incorporating AI/ML into product development and strategy
By the end of this programme, you'll be equipped to:
Lead AI/ML initiatives: Drive innovation and solve complex business problems
Make data-driven decisions: Use AI to extract meaningful insights from data
Collaborate with AI/ML teams: Effectively communicate with data scientists and engineers
Stay ahead of the curve: Keep up with the latest advancements in AI and ML
Eligibility criteria for this programme:
Minimum graduate (10+2+3); Diploma Holders with min. 5 years of work experience
Basic Math and programming knowledge required

Professor, IIT Madras
- Ph.D. Degree in Computer Science and Engineering from IIT Madras
- M.Tech. Degree in Electrical Engineering from IIT Madras
Professor C. Chandra Sekhar is a distinguished ...

Professor at IIT Dharwad
- Ph.D. Degree in Computer Science and Engineering from IIT Madras
- M.Tech. Degree in Computer Science and Engineering from IIT Madras
Dr. Dileep A. D. is a Professor at IIT...

Lead Faculty, IITM Pravartak
- Ph.D. Degree in Wireless Sensor Network with Artificial Intelligence from Anna University
- M.Tech. Degree in Computer Science and Engineering from M.Kumarasamy College OF E...
Python Preparatory Session
Module 1: Introduction to the Programme
Module 2: Mathematics Fundamentals
Module 3: Python Fundamentals
Module 4: Exploratory Data Analysis
Module 5: Applications of AI and ML
Module 6: Paradigms of Machine Learning
Module 7: Regression Methods
Module 8: Probabilistic Models for Classification
Module 9: Support Vector Machines for Classification
Module 10: Dimension Reduction Techniques
Module 11: Decision Trees
Module 12: Ensemble Methods
Module 13: Clustering Techniques
Module 14: Multilayer Feedforward Neural Networks for Classification and Regression
Module 15: Deep Feedforward Neural Networks
Module 16: Convolutional Neural Networks
Module 17: Recurrent Neural Networks
Module 18: Generative Adversarial Networks
Module 19: Transformers
Module 20: Applications of Generative AI
Module 21: Reinforcement Learning
Module 22: Capstone Project
Optional Module: Deployment of MLOps
Optional Module: Cloud Deployment
Module 1: Getting Started with Python and ChatGPT
Module 2: Data Types, Variables and Control Flow
Module 3: Functions and Working with Libraries
Module 4: Fundamentals of AI and ML
Module 5: Large Language Models (LLMs)
Module 6: Embedding Models and Vector Basics
Module 7: Agentic Tools in Python
Module 8: Introduction to Agentic AI
Module 9: Programming and Frameworks for Agentic Systems
Module 10: Agent Architectures and Collaboration
Module 11: Decision-Making and Planning in Agents
Module 12: Memory and Knowledge Retrieval in Agents with MCP
Module 13: Prompt Engineering and Adaptive Instructions
Module 14: Learning and Adaptation in Agents
Module 15: Advanced Retrieval-Augmented Generation (RAG)
Module 16: Deploying and Monitoring Agentic Systems
Module 17: Agent Evaluation and Debugging
Module 18: Ethics, Safety and Governance in Agentic AI
Module 19: Real-World Applications and Case Studies
Module 20: Low-Code Tools Deep Dive
Module 21: Capstone Project—Build Your Own Agent
Note:
All programme curriculum - topics, modules, submodules, tools — stated here is subject to change as per the discretion of IITM Pravartak or Emeritus
Participants who successfully complete the programme will receive three IITM Pravartak certificates across their learning journey. They will be certified in the following topics:
Professional Certificate Programme in AI, Machine Learning, and Deep Learning
Professional Certificate Programme in Agentic AI and Applications
Advance Certificate Programme in AI, Machine Learning, and Agentic AI
Note:
All certificates are subject to change at the discretion of IITM Pravartak.
Participants who successfully complete the programme will receive 6 IBM certificates in the respective phases of the programme. They will be certified in the following topics:
Building AI Agents with RAG and LangChain
Responsible and Ethical Generative AI
Generative AI for Business and Professionals
PyTorch: Tensor, Dataset and Data Augmentation
Deep Learning with TensorFlow
Build Your Own Chatbot
Note:
All certificates are subject to change at the discretion of IITM Pravartak.
The 15-month programme is delivered in two phases:
Phase 1 (10 months)
: Focuses on core AI, Machine Learning, and Deep Learning foundations. Learning includes pre-recorded lectures by IIT faculty, supported by select live masterclasses and weekly live doubt-solving sessions led by domain experts.
Phase 2 (5 months)
: Concentrates on Agentic AI and real-world applications. This phase is delivered through weekly live online sessions by industry experts, along with additional live masterclasses by IITM Pravartak lead faculty.
This blended format ensures strong conceptual grounding in Phase 1 and hands-on, application-driven learning in Phase 2.
After reviewing the information on the programme landing page, we recommend you submit the short form above to gain access to the programme brochure, which includes more in-depth information.
Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Programme Advisers or call us at +44 208 629 1765 (UK) / +1 315 509 2976 (US) / +65 3138 2451 (SG)
Flexible payment options available.
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