Advanced Certificate in Applied Artificial Intelligence & Deep Learning, IITM Pravartak

Take your AI knowledge beyond the basics with IIT Madras AI Courses. Pursue the Advanced Certificate in Applied Artificial Intelligence & Deep Learning to learn Machine Learning, Deep Learning, and their practical applications in 2026.

7 Months

Last date of Admission : 31 October 2026

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Get 1 to 1 Expert Guidance from SODE

Advanced Certificate in Applied Artificial Intelligence & Deep Learning, IITM Pravartak

Take your AI knowledge beyond the basics with IIT Madras AI Courses. Pursue the Advanced Certificate in Applied Artificial Intelligence & Deep Learning to learn Machine Learning, Deep Learning, and their practical applications in 2026.

7 Months

Last date of Admission : 31 October 2026

Advanced Certificate in Applied Artificial Intelligence & Deep Learning, IITM Pravartak

Book 100% Free Counseling

Get 1 to 1 Expert Guidance from SODE

Download Brochure

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Hands-on Experience

Campus Immersion Included

Direct-to-Device Learning Mode

Capstone Project

About IIT Madras Advanced Certificate in Applied Artificial Intelligence & Deep Learning

The Advanced Certificate in Applied Artificial Intelligence & Deep Learning in 2026 is offered through IITM Pravartak, the technology innovation hub associated with IIT Madras. In this seven-month programme, learners gain subject matter knowledge through structured learning and practical applications.

This course from IIT Madras covers important areas such as Python for Data Science, probability and statistics, data preprocessing, machine learning, neural networks, deep learning, MLOps, LLMOps, cybersecurity, and Generative AI. The classes are conducted live online in Direct-to-Device (D2D) mode, where students also learn the application of different tools.

Eligibility Criteria of IIT Madras Advanced Certificate in Applied Artificial Intelligence & Deep Learning

The eligibility criteria may vary across IIT Roorkee executive and certificate programmes.

Qualifications Needed

Candidate should have completed a Bachelor’s or a Master’s degree in Engineering, Mathematical and Computational Sciences

Minimum Passing Percentage

They must have scored at least 50% in the last qualification.

(The program requires knowledge of high school mathematics and programming basics.)

The Prestigious IIT Credentials

Candidates who score at least 50% marks overall and have a minimum attendance of 50%, will receive a ‘Certificate of Completion’ from IITM Pravartak, the Technology Innovation Hub of IIT Madras.

IIT Madras Advanced Certificate in Applied Artificial Intelligence & Deep Learning Curriculum

Module Learning Outcomes
Foundation of Python Students can build a strong foundation in Python for analysing data better. This module also covers tools such as NumPy and Pandas.
Probability & Statistics for Data Science In this module, students will learn probability models and statistical measures used in data analysis.
Refining and Visualising Data In the third module, IITM faculty will teach you how to prepare, clean, and analyse datasets before analytics. They will guide you on visualisation to identify patterns and communicate data insights effectively.
Predictive Modelling Using Machine Learning Learners will now dive into the functions of ML Workflows. They will learn to design and train the models so they perform accurately.
Deep Learning Models & Neural Networks This module will guide you on working with deep neural networks. Students will also get a good grasp of optimization and training concepts.
More on Deep Learning Models IIT Madras faculty will guide students on the architecture of Deep Learning models. Students will also learn to deploy such models across domains, which will help them in future opportunities.
AI Operations The seventh model will focus on understanding how machine learning and large language models are managed beyond development. Further, learning the fundamentals of MLOps and LLMOps for taking AI models towards practical deployment and operations.
Real World AI integration It’s time for students to explore how AI is being applied across areas such as cybersecurity, supply chain, environmental monitoring and Generative AI. Gain exposure to emerging applications including AWS and causal AI.
Core Agentic AI systems Bring together your learning through an end-to-end AI project based on a real-world problem. Apply data preparation, machine learning, or deep learning techniques, along with the broader AI lifecycle, to develop a practical solution.
More on Agentic Systems Students will explore the architecture and technologies behind multi-agent AI systems, building a theoretical understanding of how autonomous agents reason, interact, and work together.
Agentic AI Governance In the last module, students will learn the principles of governing AI agents, with a focus on performance monitoring, ethical decision-making, and emerging regulatory requirements.

IIT Madras Advanced Certificate in Applied Artificial Intelligence & Deep Learning Fee

The program fee for the IIT Madras Advanced Certificate in Applied Artificial Intelligence & Deep Learning in 2026 is ₹1,65,000, excluding applicable taxes.

Candidates will be charged a fee of ₹1000 during application.

Who Can Pursue IIT Madras Advanced Certificate in Applied Artificial Intelligence & Deep Learning ?

IIT Certificate Courses offer working professionals a practical way to gain IIT-level learning without stepping away from their careers. Designed around professional needs, these courses make advanced learning more accessible and career-focused.

Engineering Professionals

Engineers working with technology, software, data, or technical systems can strengthen their understanding of Artificial Intelligence, Machine Learning, and Deep Learning through this programme.

Data and Analytics Professionals

Professionals working with data and analytics can build knowledge of statistical methods, machine learning models, data processing, and deep learning techniques.

Technology Professionals

Software and technology professionals can learn how AI models and deep learning techniques are developed and applied to practical business and technology problems.

Early-Career Professionals

Professionals at the beginning of their careers who have the required academic background can build a foundation in AI and related technologies and understand how these skills are used in different industries.

Experienced Professionals

Professionals with experience in different functions can explore how analytics, machine learning, and deep learning can be applied to solve problems within their organisations.

Career Outcomes of IIT Madras Advanced Certificate in Applied Artificial Intelligence & Deep Learning

The programme develops knowledge in data science, machine learning, and deep learning that supports professionals in exploring roles across disciplines such as technology, finance, healthcare, e-commerce, and other data-driven sectors in 2026.

Data Science Roles

Professionals can use their understanding of statistics, data processing, machine learning, and data analysis to explore opportunities in data science and analytics.

Deep Learning Roles

The programme covers neural networks, Deep Neural Networks, Computer Vision, CNNs, transfer learning, and object detection. This can help professionals build knowledge relevant to deep learning applications.

AI Research & Development

The programme can also support professionals interested in research-oriented work involving AI, machine learning, deep learning, and large-scale data analysis.

Machine Learning Roles

Knowledge of regression, classification, clustering, and machine learning models can support professionals working towards Machine Learning Engineer and related roles.

Business Intelligence & Analytics

Professionals can apply data analysis and machine learning concepts to business problems and explore opportunities in Business Intelligence and analytics functions.

IIT Madras Online Application Process

Submit the Enquiry Form

Submit the enquiry form

Fill in your details and programme preference.

Get Your Admission Offer

Select your preferred programme

Choose the course that matches your learning goals.

Start Your Classes

Submit documents

Share the required details and documents to proceed. Candidates may have to attend an interview if required.

Admission Confirmed

Complete onboarding

Finish the onboarding formalities if required by the institute.

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Attend the Initial Screening Call

Get expert counselling

Speak with a programme advisor for guidance.

Online Payment

Pay the preliminary fee

Complete the required fee payment to initiate the admission process.

Upload the Required Documents

Receive your offer letter and confirm participation

Students will receive an offer letter. They have to confirm their participation in the program.

Begin your programme

Start learning as per the scheduled program date.

1
Submit the Enquiry Form

Submit the enquiry form

Fill in your details and programme preference.

2
Attend the Initial Screening Call

Get expert counselling

Speak with a programme advisor for guidance.

3
Get Your Admission Offer

Select your preferred programme

Choose the course that matches your learning goals.

4
Online Payment

Pay the preliminary fee

Complete the required fee payment to initiate the admission process.

5
Start Your Classes

Submit documents

Share the required details and documents to proceed. Candidates may have to attend an interview if required.

6
Upload the Required Documents

Receive your offer letter and confirm participation

Students will receive an offer letter. They have to confirm their participation in the program.

7
Admission Confirmed

Complete onboarding

Finish the onboarding formalities if required by the institute.

8

Begin your programme

Start learning as per the scheduled program date.

Frequently Asked Questions

No. IIT Madras charges some fees for the programmes it offers in AI.

According to some sources, the average salary for AI and Data Science-related roles is around 25 LPA. The figures may vary based on work experience.

Yes. IIT Madras has prepared a separate branch called the Wadhwani School of Data Science and AI for AI-related courses