Professional Certificate Programme in AI, Machine Learning, and Deep Learning
Learn from IIT faculty – globally renowned AI and ML researchers, and leading domain experts
- IIT faculty-led select live masterclasses and weekly recorded videos
- Designed for higher industry-readiness with 3 IBM certificates
- Built for tech-oriented professionals with math and programming knowledge
- Taught by Prof. Chandra (former HoD, CSE Dept, IIT-M) & Prof. Dileep (Professor, CSE Dept, IIT-Dh)
- Two-day optional campus immersion event at IIT Madras Research Park
- Domain experts-led weekly live sessions/doubt solving sessions
Early Bird Registration Benefit
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Power Your Career with AI and Machine Learning Expertise from IIT faculty
Note:
Schedule for faculty masterclass will be shared post programme orientation.
This programme is taught by both IIT faculty and domain experts. Weekly recorded videos are by IIT Madras and IIT Dharwad faculty, and weekly live sessions/doubt solving sessions are taken by domain experts.
Step Into Success with a Career in AI and Machine Learning
Teraflop computing, scalable infrastructure and gigabit internet have opened up many new AI and machine learning applications for businesses and consumers. NASSCOM and BCG have also made projections and expect exponential growth in the AI market to reach $17 billion by 2027.
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Programme Overview
The Professional Certificate Programme in AI, Machine Learning, and Deep Learning by IITM Pravartak is for tech professionals who want to leverage cutting-edge advancements to drive innovation and tackle complex problems.
This unique AI and machine learning programme will enable you to gain a competitive edge among peers in the industry. Contrary to most AI and ML courses, it features rigorous instructions from distinguished IIT Madras faculty and globally renowned AI and ML experts, Professor C. Chandra Sekhar, former HoD of CSE Department at IIT Madras (2019-22) and Professor Dileep A.D., who is from IIT Dharwad and was a research scholar at IIT Madras. These award-winning faculty have published multiple research papers in reputed international journals.
Weekly instruction for this AI and machine learning course is done through recorded videos by IIT faculty and live sessions by domain experts. In addition to this, IIT faculty will be taking select live masterclasses during the programme. Learners will gain hands-on experience by using cutting-edge AI and ML tools and libraries in virtual labs that will empower them to become well-rounded AI and ML experts.
Programme Highlights
IIT Faculty Teaching*
Select live masterclasses and weekly recorded videos by faculty (Approx. 61 hours of recorded AI and ML insights)
Domain Expert Sessions
Weekly live online sessions (including doubt solving sessions) by leading AI and ML domain experts
Led by Former HoD, CSE at IITM
Designed & led by Prof. C. Chandra Sekhar, renowned AI and ML expert from IIT Madras
IITM Pravartak Certificate
Get certified as an AI and ML expert by IITM Pravartak
3 IBM Certifications
Level up your brand with top industry credentials
Two Days Immersion
Optional campus immersion event at IIT Madras Research Park
25+ Tools and Libraries
Delivered via cutting-edge virtual integrated labs
30+ Projects and Cases
Learn by solving real-world challenges with AI and ML
4 Latest Research Papers
Dive into real-world studies for in-depth insights
One-Week
Capstone Project
GitHub and Kaggle
Establish your digital portfolio
Note:
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.
Learn AI and Machine Learning from Renowned IIT Faculty
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...
Reviews in a Snapshot for the IITM Pravartak AI, ML, and Deep Learning Course
Professionals from diverse backgrounds - manufacturing, automation, data, and business - describe the IITM Pravartak AI, ML, and Deep Learning Programme as comprehensive, flexible, and career-transformative. Many highlight its strong conceptual foundation, IIT faculty expertise, and interactive weekly sessions that balance theory with application.
Common Highlights
Well-structured learning path: Learners appreciate the blend of pre-recorded IIT faculty lectures and weekly live expert-led sessions that fit well into busy schedules.
Accessible for all backgrounds: Non-technical learners find the fundamentals approachable, while technical professionals value the programme’s depth and progression.
Applied learning focus: Weekly quizzes, projects, and practical discussions are praised for reinforcing real-world understanding.
Faculty excellence: Mentions of Prof. Amitendra, Mr. Satya, and Mr. Wajahat reflect appreciation for their clear explanations and supportive teaching approach.
Support and platform experience: The support team is noted as responsive and proactive, improving learner experience with platforms like Canvas and Vocareum.
Areas for Improvement
Learners suggest adding more domain-specific examples, extra practice assignments, and improved recording quality for lectures.
A few recommend deeper theoretical coverage for advanced learners and more discussion around projects for non-technical participants.
Overall sentiment: Learners describe the programme as “a great experience,” “rewarding,” and “a crucial platform for upskilling.” Many credit it with boosting their confidence in AI and ML and bridging the gap between traditional roles and modern AI-driven work.
What is the Review for IITM Pravartak AI and ML Course?
Seasoned Learners from Diverse Industries
Work Experience Summary
Function Wise Summary
Organisational Background of Previous Learners
Note:
All product and company names are trademarks or registered trademarks of their respective holders, use of them does not imply any affiliation with or endorsement by them.
How This Programme Gives You the Edge
Professional Certificate Programme in AI, Machine Learning, and Deep Learning by IITM-Pravartak | Other Outdated/Non-Accredited Technical Certificate Programmes | |
|---|---|---|
Certification from a Top Ranked Institution | Certification from IITM Pravartak, which is the technology innovation hub of IIT Madras | Certification from non-accredited or low ranked institutes |
Teaching Led by Eminent IIT faculty | Select live masterclasses* and weekly recorded videos lectures by Prof. Chandra (IIT Madras, HoD of CSE Department, 2019-22) and Prof. Dileep (IIT Dharwad, Professor of CSE Department) | Limited or no involvement by institute faculty |
Depth of AI and ML topics | Focus on deep mathematical concepts needed for AI and ML and in-depth coverage of Generative AI and Large Language Models (LLMs) and their use cases in real-world challenges and scenarios | Courses are designed with a narrow scope and the focus on practical learning with Gen AI and LLM is too little |
Highest number of tools and libraries | Get access to 25+ most in-demand tools and libraries like R, Python, NumPy, and Matplotlib | Curriculum covering fewer and outdated tools, with no access to masterclasses and little guidance from domain experts/faculty |
Get started with Kaggle and GitHub portfolio | Learn how to build your own GitHub and Kaggle portfolio to stand apart from the crowd, become industry ready, and solve real world problems | No guidance for personal brand building |
Professional Industry Certification | 3 IBM professional certifications that instantly add credibility to your resume | Additional certifications are rarely offered and come with add-on costs |
Note:
This programme is taught by both IIT faculty and domain experts. Weekly recorded videos are by IIT Madras and IIT Dharwad faculty, and weekly live sessions/doubt solving sessions are taken by domain experts.
Schedule for faculty masterclass will be shared post programme orientation.
Who is this AI and ML Course 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
Programme Modules
Note:
The programme curriculum consists of content from both IIT faculty and domain experts. Approx. 61 hours (88% of the pre-recorded content) is taught by the faculty, and the rest is taught by the domain experts. The total number of faculty teaching hours are subject to change as per the discretion of IITM Pravartak and Emeritus.
A few weeks in the programme are taught solely by domain experts including introductory modules Python. Please refer to the brochure for further details.
25+ Practical AI ML Tools and Libraries Covered for Hands on Education
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.
Solve Real-World Problems with Exclusive Agentic AI Masterclasses
Note:
The Agentic AI masterclass schedule and curriculum is subject to change as per the discretion of Emeritus
Gain Credentials from IBM, a Pioneer in Artificial Intelligence and Machine Learning Technology
Note:
All programme curriculum stated here is subject to change as per the discretion of IITM Pravartak, Emeritus, or IBM.
30+ AI and Machine Learning Projects/Case Studies for Practical Applications
Build Python scripts to automate data processing tasks and perform basic computations.
Learn Python syntax, build scripts, use control structures, and process data with Python libraries.
Skills: Python programming, script development, debugging, and data handling.
Analysing retail banking data to understand customer behaviours and predict churn.
Analyse customer behaviours to predict churn, build and enhance predictive models, and provide data-driven retention strategies using retail banking data.
Skills: Data preprocessing, statistical analysis, machine learning, visualisation, and feature engineering.
Develop a predictive model to estimate house prices based on multiple features using regression techniques.
Master regression algorithms to build, evaluate, and interpret predictive models.
Skills: Regression modelling, evaluation metrics (MSE, R-squared), feature engineering, and data preprocessing.
Analysing employee data to predict attrition (exit status).
Analyse factors driving employee attrition, forecast risks with predictive models, and deliver actionable insights for strategic workforce management.
Skills: Data preprocessing, statistical analysis, machine learning, visualisation, and feature engineering
Cluster customer data to identify distinct segments using unsupervised learning techniques.
Master clustering algorithms (K-Means, Hierarchical), analyse clusters, and drive business decisions with data insights.
Skills: Clustering, unsupervised learning, customer segmentation, and data preprocessing.
Build a predictive model that can identify factors that lead to a "satisfied" or "neutral or dissatisfied" outcome.
Analyse factors impacting satisfaction, classify customer responses, and develop strategies to enhance the customer experience using predictive models.
Skills: Data preparation, statistical analysis, machine learning, feature engineering, and visualisation.
Perform data cleaning, feature engineering, and exploratory data analysis (EDA) to derive meaningful insights from the data and predict price
Learn data cleaning, feature engineering, and EDA to build predictive models for price estimation and deliver actionable insights.
Skills: Data preprocessing, feature transformation, statistical analysis, EDA, and regression model development.
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.
Master deep learning concepts, evaluate model performance, compare architectures, and optimize for superior results.
Skills: Deep learning, neural network training, evaluation metrics, model tuning, and overfitting analysis.
Classify different vehicle types (e.g., bus, saab, opel, van) using a neural network.
Learn to preprocess vehicle image data, build and train neural networks for classification, and evaluate model performance for actionable insights.
Skills: Image preprocessing, neural network design, model training, data visualization, and performance analysis.
Note:
All programme curriculum stated here is subject to change as per the discretion of IITM Pravartak, Emeritus, or IBM.
Programme Certifications
IITM Pravartak will award a certificate of successful completion to participants who complete the programme successfully with 70% of the score in the evaluation.
Note:
All certificate images are for illustrative purposes only and may be subject to change at the discretion of IITM Pravartak and IBM.
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.
Emeritus Career Services Benefits
15 recorded sessions and resources in the above categories
Pro-membership and features of IIMJobs and Hirist: Access to job insights recruiter action status, follow-up actions, and ability to chat with recruiters who have shortlisted your profile.
Spotlight on IIMJobs and Hirist: Profile boost for applied jobs (that align with acquired certification), greater profile visibility - highlighted with institute name along with a testimony of certificate acquisition by the candidate.
Spotlight Plus: All the benefits of Spotlight and added advantages like profile and rank boost in the recruiter search database.
Resume builder tool: 6-month access to DIY resume builder, auto resume creator, optimization suggestions based on key parameters, guide on information to be incorporated, and unlimited resume iterations within the duration.
Notes:
IITM Pravartak or Emeritus do NOT promise or guarantee a job or progression in your current job. Career Services are only offered as a service that empowers you to manage your career proactively.
The Career Services mentioned here are offered by Emeritus. IITM Pravartak is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.
This service is available only for Indian residents enrolled into selected Emeritus programmes.
Programme FAQs
Early registrations are encouraged. Seats fill up quickly!
Flexible payment options available.
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