Offered by Shailesh J. Mehta School of Management, IIT Bombay

Certificate in Leadership with AI

Application closes on 6th Apr 2026

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Certificate in Leadership with AI

Application closes 6th Apr 2026

What to expect?

Drive strategic decisions using AI

Learn to navigate the AI landscape for effective business solutions.

Evaluate the AI & Generative AI landscape and spot high-value opportunities
Interpret data, models, and metrics to help translate business challenges into AI-enabled solutions
Set AI strategy and align operating models to business goals
Prototype and test concepts rapidly using no-code or low-code tools

Earn a Certificate of Completion from IIT Bombay

#28

QS Rankings in Engineering & Technology, 2025
#3

NIRF India Rankings 2024
#1

NIRF India Innovation Rankings, 2024
#3

NIRF India Engineering Rankings, 2024
#30

QS Rankings in Data Science and AI, 2024
#63

QS Rankings in Electrical & Electronics, 2024
#2 in India

QS World University Rankings, 2026

Key Certificate Highlights

Why choose Certificate in Leadership with AI

IIT Bombay faculty-led

Learn from IIT Bombay faculty who will connect cutting-edge research with practical frameworks and cases.
Hands-on learning

Case-based learning and no-code/low-code work turn ideas into tested proofs of concept (PoCs).
Weekly live sessions

Interactive classes, query resolution and case discussions to keep you on track
Industry-focussed specialisation

Choose an industry-based track to learn about data realities, high-impact use cases, and metrics. Finish with a capstone tailored to your context.
Domain insight & technical depth

Learn both sector context and core tech with industry use cases, proofs of concept, agents, data & integration patterns, and governance frameworks.
Dedicated learner support

Receive personalized assistance from a dedicated programme manager throughout your learning journey

Skills you will learn

AI Strategy & Operating Models

Generative AI

AI Agents

ROI Modelling

Responsible AI

Build-vs-Buy Evaluation

Change Management for AI

AI-Era Business Models

Prompt Engineering

Risk, Privacy & Compliance

AI Strategy & Operating Models

Generative AI

AI Agents

ROI Modelling

Responsible AI

Build-vs-Buy Evaluation

Change Management for AI

AI-Era Business Models

Prompt Engineering

Risk, Privacy & Compliance

This certificate is ideal for

The Leadership with AI certificate is crafted for leaders who want to set AI vision and demonstrate ROI.

Technology & engineering managers

Learn to leverage AI to drive business outcomes, manage AI projects, and lead cross-functional teams effectively.
Management & technology consultants

Learn AI use cases and frameworks to deliver sector-specific, impactful strategies and solutions for clients
Senior leaders & C-suite executives

Learn to define AI strategy, manage investments and risks, and drive change to scale operations and improve customer experience
Entrepreneurs & product builders

Learn to turn AI capabilities into innovative products and revenue, driving growth while understanding AI limits

Unique learning journey

Weekly live sessions

Interactive classes for concept clarity, hands-on and Q&A with IIT Bombay faculty.
Peer-to-Peer Learning

Learn with a cohort - discuss and share ideas in class and in discussion forums.
Industry-Relevant Curriculum

Work on projects - apply concepts & tools to real use cases
Get personalized assistance

Our dedicated programme managers will support you whenever you need

Curriculum

The curriculum is organised in five modules, starting with digital and AI foundations and progressing to real-world applications. Learners explore AI, Generative AI and agentic systems, followed by tools and platforms. The curriculum then focuses on AI strategy, transformation and responsible adoption, ending with real-world implementation.

Core Module 1: Digital Foundations for AI-Ready Leaders

This opening module helps learners understand the broader digital ecosystem in which AI operates. It introduces key technology enablers such as information systems, cloud, data, IoT, APIs, and security, and shows how these elements come together to support AI-ready organisations. The module is designed to give leaders enough context to understand how AI fits into enterprise systems and digital transformation journeys.

Topics Covered:

• Introduction to information systems and digital technologies • Computing infrastructure, data management systems, and software technologies • Evolution of digital technologies and disruption trends • The role of ACID (AI, IoT, Cloud, and Data) in modern enterprises • Digital transformation and building foundations for an AI-ready organization • Securing digital systems

Core Module 2: AI, Generative AI, and Agentic Systems

This module provides a structured and comprehensive understanding of the AI landscape, from classical AI and machine learning to Generative AI and agentic AI. Learners explore how intelligence is created in machines, what kinds of business problems different AI approaches are suited for, and how multiple AI paradigms can work together. The module also introduces operational concepts such as AI agents, automation, and the practical limits of Generative AI.

Topics Covered:

• What AI is and how it has evolved • Intelligence and problem-solving: data-driven vs. knowledge-driven approaches • Data modelling for AI, including metadata, taxonomies, and ontologies • Core machine learning paradigms, including reinforcement and evolutionary approaches • Business problems and application areas addressed by AI • Neural networks and deep learning fundamentals • Foundations, capabilities, and limitations of Generative AI • Multimodal AI, RAG, fine-tuning, and prompt engineering • End-to-end automation, AI agents, and agentic AI

Core Module 3: Tools, Platforms, and AI Productivity

This module introduces the tools, frameworks, and platforms that support AI-enabled work and business productivity. Rather than focusing only on coding, it helps learners understand the broader ecosystem of technologies used to enhance personal productivity, embed AI into workflows, and build automated solutions. The emphasis is on practical familiarity with the AI tooling landscape and its business relevance.

Topics Covered:

• Understanding AI tools, languages, frameworks, and platforms • Prompt engineering in practice • Using AI tools to improve personal and workplace productivity • Reimagining software and application development with AI • Integrating AI into existing business solutions • Building AI agents and end-to-end AI-enabled workflows

Core Module 4: AI Strategy, AI-led Transformation, and Innovation

This module translates technical understanding into business strategy and organisational action. Learners explore how to lead AI-first transformation, build scalable capabilities, and create differentiated business models in the AI era. The module also covers rapid prototyping, build-vs-buy decisions, responsible AI adoption, and the change-management practices required to make AI initiatives stick across the organisation.

Topics Covered:

• AI-first leadership and building scalable AI capabilities • Agentic AI and its implications for businesses • AI-era business models, positioning, and differentiation • Rapid prototyping, proof of concept, and success gates • Integration patterns and build-vs-buy decisions • Building a responsible AI-first organisation • Leading scalable and cross-functional AI teams • Agile delivery and change management for AI initiatives

Core Module 5: Applied Industry Cases in AI

The final module helps learners connect concepts to practice through curated business cases from multiple industries. It focuses on how organisations have adopted AI, the roadmaps they followed, the value they created, and the challenges they encountered along the way. The aim is to help learners build judgment around what makes AI initiatives succeed or fail in real business settings.

Examples of Topics Covered (through cases):

• Cross-industry examples of AI-led transformation • Business roadmaps for AI adoption and scale • Best practices in AI implementation • Value creation, ROI, and performance outcomes • Common challenges and failure points in AI strategy • Lessons for leaders from real-world AI deployments

Learn from IIT Bombay faculty

Learn from leading IIT Bombay faculty who blends rigorous AI and strategy research with practical delivery.

Prof. Rajendra M Sonar

Professor of Information Systems/Technology, IIT Bombay

33+ yrs experience in intelligent systems & hybrid AI, with a PhD in AI

Has built platforms using expert systems and genetic algorithms

Know More

Sample Speakers

Final speaker lineup will be confirmed closer to the session date and is subject to availability

Deepak Gupta

ex-CEO and CMD Kotak Bank, Professor of Practice, SJMSOM, IIT Bombay
Suhrid Brahma

Senior Industry Speaker
Prof. Pankaj Dutta

Professor of Decision Sciences and Analytics
Prof. Piyush Pandey

Assistant Professor of Finance, SJMSOM and Associate Faculty, Centre for Machine Intelligence and Data Science (C-MInDS), IIT Bombay
Hrishikesh D. Sherlekar

Founder & CEO at S3K Technologies, USA & MYAIGURU, India

Course Fees

The course fee is USD 2,700

Invest in your career

Evaluate the AI & Generative AI landscape and spot high-value opportunities
Interpret data, models, and metrics to help translate business challenges into AI-enabled solutions
Set AI strategy and align operating models to business goals
Prototype and test concepts rapidly using no-code or low-code tools

Take the next step

00 : 00 : 00

Apply to the course now or schedule a call with our advisors

Get started with your application

Application Closes: 6th Apr 2026

Talk to our advisor for further course details

Selection Process

Registrations close once the required number of participants enroll. Apply early to secure your spot.

Application

Interested candidates can apply by filling out a simple online application form.
Interview process

Go through a mandatory screening call with the registration office.
Offer of registration

Selected candidates will get an offer letter and must pay the fee to confirm registration.

Eligibility Criteria

Bachelor’s or Master’s degree (or highest educational degree) in any discipline from a recognized university, with a minimum aggregate of 50% marks or equivalent CGPA, along with a minimum of 3 years of work experience and a fair understanding of the basics of Information Technology and Systems.
Alternatively, Bachelor’s degree in any discipline from a recognized university, along with a minimum of 5 years of work experience and a fair understanding of the basics of Information Technology and Systems.

Limited seats available