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

Certificate in Leadership with AI

Application closes on 20th Jul 2026

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Certificate in Leadership with AI

Application closes 20th Jul 2026

Why should you join this certificate course?

No Code AI Leadership Curriculum

Learn weekly live from IIT Bombay faculty through a leadership-focussed curriculum covering AI, GenAI, Agentic AI, AI governance, strategy, and enterprise transformation through case-based learning.
Master Agentic AI & Advanced Workflow Automation

Go beyond standard Generative AI. Learn to design, deploy, and manage intelligent AI agents that orchestrate complex business tasks autonomously with human-in-the-loop safeguards.

Learning Outcomes

What will you learn to build and apply?

Through a structured learning journey, you will build the capability to:

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

Learn weekly from IIT Bombay Faculty

Learn through live online sessions delivered by IIT Bombay faculty, connecting AI concepts with business frameworks, practical cases, and leadership applications.
Hands-on low-code AI leadership curriculum

Build AI leadership capabilities through case-based learning, low-code tools, and applied projects across AI strategy, governance, GenAI, and Agentic AI.
Real-world business case studies

Analyze AI adoption, transformation, innovation, governance, ROI, and scalability through applied business cases and sector-relevant examples.
IIT Bombay campus immersion

Participate in a one-day optional immersion at the IIT Bombay campus to interact with faculty and experience the campus environment.
Earn a certificate from IIT Bombay

Earn a Certificate of Completion from IIT Bombay upon successful completion of the course.
Personalised programme 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

Who is the certificate for?

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

Technology & engineering managers

Leverage AI to drive business outcomes, manage AI projects, and lead cross-functional teams effectively.
Management & technology consultantss

Apply AI use cases and frameworks to deliver sector-specific, high-impact strategies and solutions for clients.
Senior leaders & C-suite executives

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

Turn AI capabilities into innovative products and revenue streams while understanding AI’s limitations.

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

What is the certificate curriculum?

The curriculum, designed and delivered by IIT Bombay faculty, is organised across six modules, beginning with digital foundations and the AI spectrum, from classical AI to Generative AI and Agentic AI. Learners then explore AI tools, platforms, strategy, governance, business use cases, and a capstone project focused on real-world implementation

Core Module 1: Digital Foundations for AI-Ready Leaders

AI cannot deliver value in isolation. For AI to work at scale, organizations need the right digital foundations: data, systems, integration layers, infrastructure, and security. This module helps participants understand the broader technology context within which AI initiatives succeed or fail. It introduces the enterprise technology stack and explains how AI, IoT, cloud, and data come together in modern digital transformation.

Topics Covered:

• Enterprise information systems and digital technologies • Evolution of digital technologies and the changing landscape • The role of AI, IoT, Cloud, and Data in digital transformation • Computing infrastructure and data management systems • APIs, microservices, orchestration, and interoperability • Foundations of end-to-end automation • Securing digital systems for AI-enabled organizations

Module 2: The AI Spectrum - From Classical AI to Agentic AI

This module provides a structured and holistic understanding of AI. It moves from the foundations of intelligence and problem solving to classical AI, machine learning, deep learning, Generative AI, and Agentic AI. A distinctive feature of this module is its emphasis on understanding the differences between AI paradigms, when each is appropriate, and how they can be combined in practice.

Topics Covered:

• What is AI and how it evolved • Defining intelligence in organizational and business settings • Data-driven, knowledge-driven, operational, and common-sense intelligence • Problem-solving and decision-making through machines • Generic problem types addressed by AI • Data modelling for AI • Metadata, taxonomies, ontologies, and knowledge structures • Classical and semantic AI • Machine learning: supervised, unsupervised, reinforcement, and evolutionary computing approaches • Role of ML in building intelligence • Problem complexity and neural networks • Deep learning fundamentals • Foundations and capabilities of Generative AI • Multimodal AI • RAG, fine-tuning, prompt engineering, and context engineering • Limitations, risks, and mitigation • Leveraging classical AI, ML, and GenAI together • N=1 analysis and hyper-personalization • Operationalising AI in business workflows • AI agents and Agentic AI • End-to-end automation and human-in-the-loop considerations

Module 3: Tools, Platforms and Practical AI Enablement

Beyond conceptual understanding, leaders and practitioners need familiarity with the rapidly evolving ecosystem of AI tools, frameworks, platforms, and implementation approaches. This module focuses on practical enablement: improving personal productivity, reimagining application development, integrating AI into existing solutions, and understanding how tools and platforms support enterprise AI initiatives.

Topics Covered:

• AI tools, languages, frameworks, and platforms • Prompt engineering and context engineering in practice • Personal and office productivity enhancement • Practical uses of AI for drafting, analysis, summarization, ideation, and decision support • Reimagining software and app development using AI • Integrating AI into existing solutions • Building AI-enabled workflows and assistants • AI agents and end-to-end AI solution development • Platform choices: no-code, low-code, and custom approaches

Module 4: AI Strategy, Leadership and Transformation

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:

• Understanding AI use-cases • Integrating AI into existing systems and processes • AI-ready data foundations • Building systems as part of digitalization initiatives • Responsible, ethical, and governed use of AI • Regulatory and compliance considerations • What it means to be an AI-ready organization • AI-first leadership • Technical understanding required for leaders • Talent, capability building, and cross-functional collaboration • Change management and scaling AI across the organization • Agentic AI and implications for business models • Strategic positioning and differentiation in the AI era • Prototyping, rapid proof of concept, scoping, and success gates • Build-vs-buy playbook • Token economy and AI economics • Industry frameworks for implementation and scale-up

Module 5: Business Use-cases and Case Studies on AI

This module brings the program to life through real-world business cases on AI adoption, transformation, innovation, and strategic execution. It helps participants examine how organizations across sectors have approached AI, what strategies and roadmaps they followed, what outcomes they achieved, what challenges they faced, and why some initiatives succeeded while others struggled. The module is designed to connect leadership frameworks with actual implementation journeys and business results.

Examples of Topics Covered (through cases):

• Interpret AI case studies using a leadership and strategy lens • Connect AI concepts, tools, and frameworks from earlier modules to real business situations • Assess AI initiatives in terms of strategy, implementation, governance, ROI, and scalability • Identify best practices for AI adoption and transformation • Recognize warning signs, pitfalls, and failure patterns in AI programs • Derive practical lessons for designing and leading AI initiatives in their own context

Module 6: Capstone Project — AI Leadership in Action

The capstone project is the culminating component of the program. It is designed to help participants apply the concepts, frameworks, tools, and leadership perspectives covered across the earlier modules to a real organizational problem or opportunity. Participants will identify a business challenge, evaluate how AI can create value, choose an appropriate AI approach, and develop a practical implementation roadmap. The capstone extends the program’s focus on AIready organizations, AI use-cases, tools and platforms, build-vs-buy decisions, governance, and business transformation.

Objective

The capstone is intended to move participants from understanding AI concepts to applying them in a structured, leadership-oriented manner. It should help them demonstrate not only knowledge of AI, but also judgment on where AI fits, which approach is suitable, what organizational readiness is required, and how implementation can be governed and scaled. This fits naturally with your program’s emphasis on digital foundations, the AI spectrum, practical enablement, and AI-led transformation.

Who are the faculty for the course?

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

Who are the industry 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

What are the reviews for the course?

Learners share their feedback on the faculty, mentors, hands-on projects, and overall learning experience.

"The guest speakers provided outstanding and valuable insights into industry practices."

The experience has been excellent so far, offering a comprehensive and detailed overview of the content. The guest speakers, in particular, have been outstanding, providing valuable insights into industry practices.

Read More

Rahul Pandita

Manager, Renewal Sales Ops , NetApp

18th Apr 2026
"Modules explained clearly, easy to understand even for non-technical backgrounds."

My experience so far has been very positive. All the modules have been explained clearly and in a way that is easy to understand, even for someone from a non-technical background. It has helped me understand how to implement AI concepts and their real-world applications effectively. It has significantly enhanced my knowledge in this field.

Read More

Ritesh Bamania

Deputy Engineer , Gujarat Energy Transmission Co.Ltd (GETCO)

12th Apr 2026
"Deep and solid insight into AI basics aids in semantic decision-making for any scenario."

I am learning the basics of AI and with answering the question of what why and how in AI in past present and Future from Professor which is providing me with deep and solid insight to take the sematic decision for any scenarios.

Read More

Lata Verma

Agile Project Manager , Commonwealth Bank of Australia

12th Apr 2026
"Professor Sonar provided an excellent foundational start that was critical."

Professor Sonar provided an excellent foundational start that was critical. Without the depth gained in these early sessions, the subsequent lectures on Agentic AI and Management would not have been nearly as accessible. To further improve the student experience, I recommend allocating more time to these foundational topics and incorporating a few hands-on exercises. Understand this is leadership course, but no leaders are successful without being hands-on. While the content is vital, relying solely on presentation walkthroughs can occasionally feel lengthy and make it difficult to maintain context.

Read More

Pranav Gandhi

Senior Manager of Software Engineering , JP Morgan Chase

11th Apr 2026
"Mr. Rajendra's teaching with additional learning material is very good and helpful."

The content and teaching by Mr. Rajendra sir is very good, also the additional learning material mentioned by sir during the class is very helpful.

Read More

Rajesh R

Delivery Associate Director , NTT Data

11th Apr 2026
"Sessions are well organized with professors providing in-depth explanations and real-time examples."

So far the sessions have been well organized and the professors are making tremendous effort to hear everyone and explain in depth the topics, in some cases the relation to live use cases and providing some real time examples are noteworthy. Earlier in the beginning few sessions, we noticed some challenges when the context were switching frequently, now we understood that it all was part of the overall fundamentals and how it is applied in real time.

Read More

Pradeep Menon

Product Owner , Siemens Energy

11th Apr 2026

Course Fees

The course fee is USD 2,700

Invest in your career

4-Month Online AI Leadership Certificate: Build the capability to lead and scale AI across your organisation.
Faculty-Led Live Learning: Learn through weekly live sessions, featuring case discussions and Q&A.
IIT Bombay Campus Immersion: One-day optional campus immersion. Travel and stay costs are learner-funded.
Earn an IIT Bombay Credential: Receive a Certificate of Completion from IIT Bombay upon successful completion.

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: 20th Jul 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

Learn from IIT Bombay faculty

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Frequently Asked Questions

Certificate Details

Faculty, Curriculum and Projects

Eligibility, Registration & Fees

Career-Related Queries

Certificate Details

What is unique about the Certificate in Leadership with AI?

The Certificate in Leadership with AI is a four-month online certificate that equips professionals to ideate, champion, manage, and grow AI initiatives across their organization. This AI in leadership is unique for the following reasons that make it different from other AI leadership courses:

Comprehensive AI and Business Transformation Integration
It blends core AI technologies with business transformation to equip professionals with the skills to lead AI initiatives effectively.

Industry-Specific Specialisation Tracks
Learners can choose from specialized tracks tailored to their industry, ensuring practical application of AI in their field.

Designed by IIT Bombay Faculty
This Certificate is crafted by leading faculty from the prestigious Shailesh J. Mehta School of Management, IIT Bombay.

No Coding Knowledge Required
The curriculum is designed for leaders without a technical background, focusing on strategic, organizational, and AI-first leadership skills.

Focus on Real-World AI Use Cases
Case-based teaching methodology helps learners understand the practical implementation of AI.

Peer Learning and Cohort Collaboration
Weekly live sessions promote interactive learning, allowing participants to collaborate and learn from their faculty and peers.

How will the Certificate in Leadership with AI be delivered?

The Certificate in Leadership with AI is delivered entirely online through a mix of live, interactive sessions and video recordings.

What is the duration of this Certificate in Leadership with AI?

The duration of the Certificate in Leadership with AI is four months.

What are the learning outcomes of this Certificate in Leadership with AI?

After completing this Certificate in Leadership with AI, you will be able to:

Evaluate the AI and Generative AI landscape and spot high-value opportunities.
Interpret data, models, and metrics to help translate business challenges into AI-enabled solutions.
Design AI-driven business models.
Prototype and test concepts rapidly using no-code or low-code tools.
Measure and communicate value realization from AI and Generative AI.

These outcomes make it an ideal AI course for managers seeking to bridge business and technology through AI.

What topics are covered in this Certificate in Leadership with AI?

The topics covered in the IIT Bombay Certificate in Leadership with AI are:

Foundations for AI-Ready Leadership

Introduction to ACID (AI, Cloud, IoT, Data) technologies with a focus on AI
Data modernization and data intelligence for business
AI, Machine Learning, and Deep Learning for business
AI economics and maturity models

Generative AI & Agents for Business Transformation

Foundations of Generative AI
Prompt Engineering at scale
Implementing Generative AI in organizations
Agentic AI and its implications for businesses

Business Strategy & AI-Led Transformation

AI-first digital transformation
Business models in the AI age
AI-era strategic positioning and differentiation
Prototyping and rapid proof of concept, scoping, and success gates
Integration patterns and scale; build-vs-buy playbook

Building a Responsible AI-First Organization

Building and leading cross-functional AI teams
Agile delivery and change management for AI

Industry-Specific Specialization Track (choose between):

Track A: Banking, Financial Services, Insurance (BFSI), Fintech and similar sectors
Track B: Information Technology, Computer Science, Technology, AI/ML, Data Science, and similar sectors
Covering sector-specific data architectures, AI/ML use cases for business challenges, regulations, responsible AI, and measuring performance and ROI for AI transformations

Who will be in my peer group?

Your peer group in the IIT Bombay Certificate in Leadership with AI will include:

Technology and engineering managers who want to use AI to drive business outcomes and lead cross-functional teams.
Management and technology consultants aiming to understand AI use cases and deliver industry-specific AI strategies.
Senior leaders and C-suite executives focused on defining AI strategies, planning investments, and driving organizational change.
Entrepreneurs and product builders who are looking to translate AI capabilities into innovative products and revenue streams.

This peer group composition provides a valuable environment for learning from varied experiences and expertise in AI leadership.

Will I receive a Certificate of Completion?

Yes, you will receive a Certificate of Completion from IIT Bombay after completing the Certificate in Leadership with AI.

Is prior knowledge of AI or coding required?

No, the curriculum is designed for leaders without a technical background, focusing on strategic, organizational, and AI-first leadership skills.

What kind of professional background is best suited for this Certificate in Leadership with AI?

This certificate is ideal for professionals pursuing AI for managers or AI for leaders pathways, specifically for individuals aiming to drive AI initiatives without needing a technical background.

Technology and engineering managers
Management and technology consultants
Senior leaders and C-suite executives
Entrepreneurs and product builders
Professionals with 3+ years of experience and basic IT understanding
Those from sectors like banking, fintech, IT, or with a background in AI/ML, and data science

What kind of support will I receive during this Certificate in Leadership with AI?

You will receive personalized assistance from a dedicated Program Manager

Can I connect with industry experts during my learning journey?

The certificate offers mentorship from IIT Bombay faculty, providing practical insights alongside foundational theory.

Faculty, Curriculum and Projects

Who has designed the curriculum?

The curriculum is designed by leading faculty from the Shailesh J. Mehta School of Management at IIT Bombay, with a focus on practical AI applications in leadership and business.

Who will conduct the sessions?

Experienced IIT Bombay faculty will conduct the sessions, ensuring high-quality, expert-led learning.

Who will deliver the lectures?

The IIT Bombay faculty, including Prof. Rajendra M Sonar, an expert in AI and business strategy, will deliver the lectures.

How many modules do I need to complete under this Certificate in Leadership with AI?

You will need to complete all four core modules and choose one industry-specific specialization track.

What is the structure of the Certificate in Leadership with AI?

It consists of four core modules and an industry-specific specialization track:

Foundations for AI-Ready Leadership
Generative AI & Agents for Business Transformation
Business Strategy & AI-Led Transformation
Building a Responsible AI-First Organisation

Specialization Track: Choose from BFSI or IT/Tech sectors for application-focused learning.

How much time do I need to dedicate each week?

The IIT Bombay Certificate in Leadership with AI requires a weekly time commitment of approximately 4 to 6 hours, structured over a four-month duration.

Will there be group work or individual assignments for the Certificate in Leadership with AI?

The Certificate in Leadership with AI includes both group work and individual assignments. The format encourages live, interactive sessions for peer-to-peer learning, cohort collaboration, and networking.

What specific skills will I gain from this Certificate in Leadership with AI?

From the IIT Bombay Certificate in Leadership with AI, you will gain the following specific skills and benefits:

Ability to evaluate the AI and Generative AI landscape and identify high-value opportunities.
Skills to interpret data, models, and metrics to translate business challenges into AI-driven solutions.
Competence in designing AI-driven business models.
Proficiency in prototyping and testing concepts rapidly using no-code or low-code tools.
Capacity to measure and communicate value realization from AI initiatives.
Learn practical applications through case studies, industry-specific use cases, and a Capstone Project.

Will I be learning practical applications of AI in addition to theory?

Yes, with the IIT Bombay Certificate in Leadership with AI, you will explore AI-driven business models, case studies, and industry-specific use cases that provide hands-on experience.

How will the Certificate in Leadership with AI help me define and implement AI strategies in my organization?

This Certificate provides a strategic toolkit to design AI-led transformations by teaching AI economics, maturity models, and AI-era business strategy. You learn to identify high-value AI opportunities, build rapid proof-of-concepts, and develop integration and scale-up plans with risk management.

Eligibility, Registration & Fees

What is the eligibility for this Certificate in Leadership with AI?

Academic Qualification:

Bachelor’s degree (any discipline) from a recognised university with a minimum aggregate of 50% (or equivalent CGPA).

Work Experience:

A minimum 3 years of experience with a fair understanding of the basics of Information Technology and Systems.
Familiarity with basic business concepts; a technical background is not mandatory

What is the selection process?

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 receive an offer letter. They must pay the registration fee to confirm their seat and complete the registration.

Can I apply if I don’t have a technical background?

Yes, while familiarity with basic business concepts is preferable, a technical background is not mandatory. You can apply if you don't have a technical background.

What is the total fee for completing the Certificate in Leadership with AI?

The total fee for the Leadership with AI Certificate is ₹2,00,000 + 18% GST.

For more details on flexible payment options, please get in touch with the Registration Team.

Is there any financial assistance provided to candidates?

Yes, financial assistance options are available through Great Learning, in partnership with financial service providers such as Propelld, Eduvanz, and Liquiloans.

Please reach out to the admissions office at 080 4680 1927 for more details.

Career-Related Queries

Do I need to quit my job to pursue this Certificate in Leadership with AI?

No, you don't need to quit your job to pursue this Certificate in Leadership with AI. All live sessions are conducted on weekends. You can advance your skills without disrupting your current professional commitments.

How will this Certificate in Leadership with AI help me progress in my career?

This Certificate will position you for senior leadership roles, helping you lead AI transformation initiatives, define AI strategies, and manage AI governance and adoption within your organization. It provides a strategic foundation comparable to an AI for leaders course, with a focus on governance, scaling, and business integration.

What skills and competencies will I gain from this Certificate in Leadership with AI?

By completing the Certificate in Leadership with AI, you will: