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Advance Certificate Programme in AI, Machine Learning, and Agentic AI

From Foundations to Agentic AI: Your Path to Full-Stack AI and ML Mastery
  • Two-phase programme designed for serious career acceleration
  • INR 45,000 savings with end-to-end comprehensive 15-month learning journey
  • Includes 30+ practical, real-world projects for applied learning
  • Hands-on experience with 40+ industry-relevant tools
  • Domain experts-led weekly live sessions/doubt solving sessions
  • Optional campus immersion event at IIT Madras Research Park
  • 9 industry-recognised certificates including 3 IITM Pravartak certificates and 6 IBM certifications
  • Strong academic rigor from IITM Pravartak, ensuring depth and quality of learning
Total Work Experience

Upcoming Round Deadline

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Learn Smarter, Save More, and Become AI-Ready with IITM Pravartak

IITM Pravartak - IIT Madras Faculty Designed Phase one and Domain expert designed Phase two, 40+ tools, 30+ projects, and 6 IBM certificates

Embark on your AI, ML, and Agentic AI Journey with INR 45000 More in Savings

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.

Why Choose this Dual-Phase AIML Course by IITM Pravartak?

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Unique Two-Phase Programme Design

Taught in two parts: Foundational AI ML and cutting-edge agentic AI applications

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Learn from IIT and IITM Pravartak Faculties*

Video lectures and select masterclasses by IIT faculty; few masterclasses by IITMP guest faculty

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Save 17% More With an Integrated AI Curriculum

Eliminates the need for multiple courses, saving INR 45,000

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9 Certifications for Global Recognition

Earn 3 IITM Pravartak certificates and 6 IBM industry credentials

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*Highest Number of Tools and Libraries Across AIML Courses

40+ latest tools and libraries such as TensorFlow, Keras, Scikit-Learn and more

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Advanced Projects for Higher Practical Readiness

30+ real-world AI projects that build serious practical skills

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GitHub Portfolio and Kaggle Set Up

Get started on GitHub and Kaggle through programme projects

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Emeritus Career Services Support

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

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Latest Industry Research Papers

Dive into real-world studies for in-depth insights

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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.

Who is This Programme for?

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

Learn AI and Machine Learning from Globally Renowned Faculty

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Prof. C Chandra Shekar

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 ...

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Prof. Dileep A. D.

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...

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Prof. Madhusudhanan Baskaran

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...

Programme Modules

  • 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

40+ Cutting Edge AI, Machine Learning, and Agentic AI Tools

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Note:

  • This page highlights only a selection of tools from a more extensive list available.

  • All product and organisation names are trademarks or registered trademarks of their respective holders, and their use does not imply any affiliation with or endorsement by them.

  • Tools will be provided via virtual labs for learning, as per the curriculum. Access will be given when the respective modules are taught.

30+ Advanced AI, ML, and Agentic AI Projects

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Build Python scripts to automate data processing tasks and perform basic computations

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Analysing retail banking data to understand customer behaviors and predict churn

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Develop a predictive model to estimate house prices based on multiple features using regression techniques

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Analysing employee data to predict attrition (exit status)

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Build and evaluate a deep learning model using fundamental architectures, such as feedforward neural networks. Apply various evaluation metrics to assess the model's performance on a given dataset

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Perform data cleaning, feature engineering, and exploratory data analysis (EDA) to derive meaningful insights from the data and predict price

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Develop a Recurrent Neural Network (RNN) model to perform sentiment analysis on Twitter data, classifying tweets into positive, negative, and neutral sentiments

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Build a CLI app that fetches and displays weather via an API

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Design a two-agent system for collaborative tasks

Note:

  • All programme curriculum stated here is subject to change as per the discretion of IITM Pravartak, Emeritus, or IBM.

Programme Certifications

Participants who successfully complete the programme will receive a total of 9 certificates: 6 IBM completion certificates as well as 3 certificates from IITM Pravartak.

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Note:

  • All certificate images are for illustrative purposes only and may be subject to change at the discretion of IITM Pravartak and IBM.

  • These certificates will be awarded in the respective phases of the learning journey.

  • To receive the completion certificate, participants must score a minimum of 70% overall on mandatory assignments and successfully complete the capstone project.

  • Overall, 50% attendance in both domain-expert led live sessions and live faculty masterclasses are required to achieve programme completion.

Get Certified by IITM Pravartak

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.

Gain Credentials from IBM, a Pioneer in Artificial Intelligence and Machine Learning Technology

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.

FAQs

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.

How do I know if this programme is right for me?

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)

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available.

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