Advanced Certificate Programme in Applied Artificial Intelligence and Machine Learning
Learn from IIT Madras faculty – globally renowned AI and ML researchers, and leading industry experts
- IIT Madras faculty-led teaching through recorded videos and masterclasses
- Two-day optional campus immersion event at IIT Madras Research Park
- IIT Madras faculty-led teaching through recorded videos and masterclasses
- Two-day optional campus immersion event at IIT Madras Research Park
Get Your Brochure
Upcoming Application Deadline
May 2, 2025 at 11:59 PM
Power Your Career with AI and ML Expertise from IIT faculty
Step Into Success with a Career in AI and ML
10x
4x
51%
Programme Overview
Programme Highlights
10x
4x
51%
51%
10x
4x
51%
51%
4x
51%
51%
Two-Week
Capstone Project
51%
Note:
All programme highlights stated here is subject to change as per the discretion of IITM Pravartak or Emeritus.
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
Learn AI and ML From Renowned IIT Faculty
Prof. C Chandra Shekar
Professor, IIT Madras
Professor C. Chandra Sekhar is a distinguished faculty member in the Department of Computer Science and Engineering at IIT Madras. He was the Head of Department of the CSE Dep...
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Prof. Dileep A. D.
Boost your career prospects with AI certification.
Dr. Dileep A. D. is a Professor at IIT Dharwad. He has 10+ years of teaching experience across institutions like IIT Madras, IIT Mandi, and IIT Dharwad. He is widely recognise...
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Faculty Speak: About the IITM Pravartak Applied AI and ML Programme
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
Executives and Leaders: Aspiring to understand the strategic implications of AI and ML
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 or diploma holder (10+2+3)
Basic Math and programming knowledge required
Programme Modules
Programming is Just Logic – Anyone Can Do It
Overview of topics to be covered in the Programme
Motivation for the Programme
Overview of the Programme
Expected Outcomes of the Programme
Brief about software/tools
Linear algebra: Vectors, matrices, inner products, matrix-vector multiplication, eigen values/vectors, singular value decomposition
Calculus: Differentiation (single/multiple variables, vectors, and matrices), unconstrained and constrained optimisation (Lagrangian multiplier)
Probability Theory: Discrete and continuous random variables, probability distributions, Bayes’ rule, Gaussian density function, conditional probability
Statistics: Descriptive and inferential statistics, hypothesis testing, probability distributions
SQL Basics: RDBMS & NoSQL, MS SQL Server & MongoDB demos, SQL tables, joins, subqueries, views, functions, pattern matching, UDFs, stored procedures, ranking, and sorting
Advanced SQL: Mathematical and date-time functions, SQL ROLLUP, record grouping, common table expressions, clustered indexes
Data pipeline integration: Integrating ML models into data pipelines
Programming is Just Logic – Anyone Can Do It
Overview of topics to be covered in the Programme
Motivation for the Programme
Overview of the Programme
Expected Outcomes of the Programme
Brief about software/tools
Linear algebra: Vectors, matrices, inner products, matrix-vector multiplication, eigen values/vectors, singular value decomposition
Calculus: Differentiation (single/multiple variables, vectors, and matrices), unconstrained and constrained optimisation (Lagrangian multiplier)
Probability Theory: Discrete and continuous random variables, probability distributions, Bayes’ rule, Gaussian density function, conditional probability
Statistics: Descriptive and inferential statistics, hypothesis testing, probability distributions
SQL Basics: RDBMS & NoSQL, MS SQL Server & MongoDB demos, SQL tables, joins, subqueries, views, functions, pattern matching, UDFs, stored procedures, ranking, and sorting
Advanced SQL: Mathematical and date-time functions, SQL ROLLUP, record grouping, common table expressions, clustered indexes
Data pipeline integration: Integrating ML models into data pipelines
Note:
A few weeks in the programme are taught solely by industry experts including introductory modules on SQL and Python. Please refer to the brochure for further details.