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Executive Programme in Generative AI & Agentic AI for Leaders

Architect, Govern & Scale Enterprise-Ready GenAI and Agentic AI Systems in your organization. Join IIIT Bangalore alumni network of AI Experts at Amazon, HSBC, ICICI, Kotak, Microsoft, Jio, Swiggy, and more.

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Enterprise AI Strategy

Agentic AI & Execution

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Designed to Build Enterprise-Ready AI Leaders

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Double Certification: IIIT-B & Microsoft

Leadership Immersion at IIIT-Bangalore

Agentic AI at the Core

6 Artefacts. 1 Board Dossier

Executive workshops & live sessions

20 Real Cases. Real Decisions

Built for Leaders Driving the AI Strategy

20+

Case Studies

6

Phase-based workshops

1

Board Ready AI-Dossier

Six-Phase Architecture. Frame, Orchestrate, Resource, Guard, Earn, Deploy

Decision-Forcing Cases. 20 anchor cases across Indian and global enterprises

India Regulation Built In. DPDP Act, RBI, SEBI, CERT-In - not an appendix

Agentic AI at the Core. Copilot, task, workflow, and decision agent taxonomy

Vendor and Economics Rigour. Token economics, vendor scorecard, sovereign AI evaluation

No Coding Required. Built for business and functional leaders with 4+ years of experience

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Need to know more?

Get to know the course in depth by downloading the course brochure

Your AI Leadership Certification

On completion of this programme, you will receive a prestigious certificate from IIIT-Bangalore

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Executive Programme in Gen AI & Agentic AI for Leaders

Earn a GenAI & Agentic AI for Leaders certificate from globally recognized IIIT-B along with its executive alumni status.

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Microsoft Certificate

Earn a Professional Certificate in “Generative AI Professional Programme” from Microsoft.

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NSDC Certification

Receive the NSDC Certification recognised by the Indian Government, enhancing your employability and career prospects.

Enterprise GenAI & Agentic AI Curriculum

Landscape, Data, Opportunity, Portfolio Prioritisation: Frame

Module 1

3 weeks

Key Topics

Three waves of enterprise AI: predictive, generative, and agentic

AI maturity diagnostic and organisational readiness assessment

Porter's Five Forces through an AI lens

AI as efficiency play, competitive weapon, or new business model

Data Readiness Scorecard: quality, accessibility, governance, sovereignty

Portfolio Prioritisation Heatmap: impact vs. feasibility vs. governance complexity

Minimum Viable Governance Canvas and ethics decision screen

Indian enterprise AI maturity clusters and Nasscom benchmarks

Deliverable

Opportunity Thesis with Data Readiness Scorecard and Portfolio Prioritisation Heatmap

Competitive Strategy, Agents, Indian Sector Deep-Dives: Orchestrate

Module 2

Key Topics

Four agent archetypes: copilot, task, workflow, and decision agent

Governance tier assignment per archetype

Multi-agent systems, orchestration patterns, and Model Context Protocol

Three strategic AI plays and competitive positioning

AI applications across CX, operations, finance, HR, and healthcare

Multilingual and voice-first AI for Indian enterprise: Bhashini, Sarvam AI, BharatGen

India Stack as AI-ready infrastructure: Aadhaar, UPI, DigiLocker GCC positioning: AI innovation hub vs. cost centre

GCC positioning: AI innovation hub vs. cost centre

Deliverable

Use-Case Blueprint with Agent Classification Matrix and stakeholder map

Operating Models, Talent, Vendors, Platform, Token Economics: Resource

Module 3

Key Topics

Four AI operating models: COE, federated, infrastructure, GCC-as-AI-hub

Leader as AI product owner: stage gates and decision rights

AI talent strategy in the Indian market: reskilling vs. Hiring

Vendor evaluation framework: 7 questions for any AI vendor

Agent platform market: Copilot Studio, Bedrock Agents, Vertex AI, open-source

Token economics: cost-per-task, monthly run rate, break-even vs. FTE

Build vs. buy vs. partner vs. self-host decision framework

POC design: go/no-go gates, kill criteria, and staged validation

Deliverable

Operating Model Memo with Vendor Evaluation Scorecard and Token Economics Calculator

Governance, Risk, Cyber/IP, Ethics, Indian + Global Regulation: Guard

Module 4

Key Topics

Full enterprise AI governance stack: risk taxonomy, controls, policy, monitoring, incident response

Agentic-specific risks: tool misuse, looping, supervision gap, hallucination at scale

AI cybersecurity: prompt injection, data poisoning, model theft, adversarial attacks

Ethics instrument: five-question screen covering fairness and explainability

DPDP Act, RBI, SEBI, CERT-In, MeitY, IRDAI, TRAI, and NMC - with enforcement realism

AI Governance Passport methodology for Indian regulatory mapping

Global regulatory mapping: GDPR, EU AI Act, NIST AI RMF, ISO/IEC 42001

GCC compliance architecture: satisfying HQ, Indian, and client-country regulators simultaneously

Deliverable

Governance Framework with AI Governance Passport covering India and one global jurisdiction

ROI, Board Narrative, Change Leadership, Stakeholder Mobilisation: Earn

Module 5

Key Topics

Board-level ROI model: value hypothesis, NPV, sensitivity analysis, payback period

Token economics at 30/60/90-day horizons for agentic workflows

AI sustainability and ESG: compute carbon footprint and SEBI BRSR disclosure

Change leadership for Indian enterprises: hierarchical culture and the frozen middle

ADKAR change management framework applied to AI adoption

Board-level AI communication: structure, objection handling, Indian board dynamics

Three-message communication cascade: board, leadership, and all-hands

Stakeholder mobilisation and building internal AI champions

Deliverable

Board Investment Case with ROI Model, Board Investment Memo, and Change Adoption Plan

90-Day Roadmap, Measurement, Personal AI Architecture, Dossier: Deploy

Module 6

Key Topics

90-day deployment playbook: Days 1–30 mandate, 31–60 pilot, 61–90 measure and iterate

30/60/90 Measurement Protocol: leading indicators, lagging indicators, scale/kill gates

Domain-specific AI KPIs across CX, Finance, HR, Operations, and Sales

Emerging AI frontiers: capability shifts, regulatory developments, new agent capabilities

Personal AI workflow architecture: delegation boundaries and team guardrails

AI Leadership Execution Dossier assembly: narrative coherence and executive summary

Capstone defence preparation: evidence-based objection handling under adversarial Q&A

Post-programme: 90-day check-in, alumni community, and dossier progress tracking

Deliverable - 90-Day Deployment Roadmap, Measurement Protocol, and complete AI Leadership Execution Dossier defended before faculty and industry practitioners

Tools

Meet the Team That Is Invested in Your Success

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Instructors

4

Industry Experts

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Dr. V. Sridhar, Instructor

Dr. V. Sridhar

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Professor - IIIT-B

Dr. V. Sridhar, a professor at IIIT-Bangalore's CITAPP, specializes in telecommunications technology, management, and regulation. He has co-… Read More

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Dr. Chandrashekhar Ramanathan, Instructor

Dr. Chandrashekhar Ramanathan

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Dean, Academics - IIIT-B

Dr. Chandrashekar Ramanathan, a professor at IIIT-B since 2007, specializes in data science, software engineering, and large-scale applicati… Read More

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Where Strategy Met Reality: Enterprise AI Cases That Matter

Gain industry exposure with relevant projects taught by leading faculty and industry leaders

8

Case Studies

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Infrastructure moat

Sequencing

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Data-First AI

Built data infrastructure before AI applications, creating a long-term competitive moat  

Skills learned

Data strategy

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Compliance design

Governance

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AI Under Regulation

Deployed AI-first banking strategy while proactively navigating RBI guardrails from day one  

Skills learned

Regulatory navigation

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Agent ROI

Competitive advantage

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Efficiency to Weapon

Reviewed 12,000 credit agreements in seconds, replacing 360,000 hours of lawyer time  

Skills learned

Strategic escalation

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Moat creation

Scalability

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Proprietary Prediction

Built proprietary demand forecasting at Indian operational scale instead of buying off-the-shelf  

Skills learned

Build vs. buy

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Platform strategy

Scalability

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AI as Infrastructure

Embedded AI at the operating system level, not as a product feature  

Skills learned

Infrastructure thinking

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Operating model

Change leadership

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Post-Tata Rebuild

AI-enabled airline transformation under new ownership and operational overhaul  

Skills learned

Transformation

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Federated AI

Conglomerate strategy

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Conglomerate AI Change

Managed centralised vs. federated AI strategy across auto, IT, and financial services businesses  

Skills learned

Change leadership

+2

Measurement

Deployment at scale

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Retraining at Scale

Deployed AI while simultaneously retraining 1.5 million associates across 4,700 stores  

Skills learned

Change management

+2

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Your Journey to Enterprise AI Leadership

Frame: From Awareness to Opportunity Thesis

    Assess AI readiness and prioritise investments using the Data Readiness Scorecard and Portfolio Heatmap

    Apply competitive analysis through an AI lens to identify the most disrupted force in your industry

    Build your Opportunity Thesis with data rationale, governance screen, and portfolio prioritisation

Resource From Strategy to Operating Model

    Evaluate AI operating models and design stage gates for explore, pilot, scale, and operate

    Run a structured vendor war-room with token economics analysis and sovereign AI evaluation

    Design a proof-of-concept with explicit go/no-go gates and kill criteria

Earn From Governance to Board-Level Case

    Construct a board-level ROI model with NPV, sensitivity analysis, and sustainability consideration

    Build a change adoption plan designed for Indian organisational culture and the frozen middle

    Defend a four-minute board presentation under live CFO and Chairman challenge

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Orchestrate From Opportunity to Agent Architecture

    Classify AI deployments across four archetypes: copilot, task, workflow, and decision agent

    Evaluate your strategic AI play: efficiency, competitive weapon, or new business model

    Design use cases with functional mapping, stakeholder dependencies, and language requirements

Guard From Ambition to Governed Deployment

    Design a full governance stack: risk register, ethics screen, controls, and incident response

    Map your initiative against Indian regulatory obligations - DPDP Act, RBI, SEBI, CERT-In, MeitY

    Build an AI Governance Passport for India plus one additional global jurisdiction

Deploy From Plan to Execution-Ready Dossier

    Design a 90-day roadmap with 30/60/90 measurement gates and kill/scale criteria

    Assemble all six artefacts into a single board-ready AI Leadership Execution Dossier

    Present and defend your dossier before faculty and industry practitioners in a live capstone defence

The upGrad Enterprise AI Advantage

Certifications

Curriculum

Tools & Techniques

Practical Applications

Immersion

Career Support

Opportunities within upGrad

Thought Leadership and Personal Brand

6-Phase Decision Architecture

upGrad

Dual certification from IIIT Bangalore and Microsoft

Enterprise-ready Generative & Agentic AI system design: from RAG to multi-agent architectures

Includes ChatGPT, DALL-E 2, LangChain, and Pinecone

Industry-aligned capstone with mentoring to ship a working AI prototype

On-campus immersion at IIIT-Bangalore

AI leadership positioning and career strategy support

Opportunity to contribute and teach within the upGrad ecosystem

Access to academicians and industry leaders in AI

A structured executive blueprint to frame, govern, and deploy enterprise AI strategy, built on your organisation's real context

Competitors

Often limited or single certification

Primarily theoretical

Basic exposure

Minimal hands-on focus

Rarely included

Limited career resources

Lack of teaching or networking opportunities

Few opportunities to network with AI industry leaders

No structured methodology to lead AI initiatives end-to-end

How will upGrad support you?

Student Support

    Dedicated Student Support available

    For urgent queries, use the Call Back option on the platform.

Executive GenAI & AgenticAI Leadership Course Fees

5 Months
Starting at
INR 7,583/month
Totally INR 2,25,000*Inclusive of taxes

Inclusions

Campus Experience at IIIT-Bangalore
3 Interactive Workshops
Note: Completion of the optional courses of Microsoft is a must in order to obtain a certification from them respectively.
View Plans
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GenAI & AgenticAI Leadership Programme Eligibility

The admissions process for Executive Programme in GenAI & Agentic AI for Leaders is very easy, and can be done completely online.

Eligibility

Bachelors or Master’s Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA.  4+ Years of work experience mandatory

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Application form

Complete and submit your online application form

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Get Shortlisted & Receive Offer Letter

Our admissions team will review your details. An offer letter will be sent to you if you qualify for the program.

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Block your Seat

On receiving the offer letter, confirm your candidature by paying a block amount of INR 15,000

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Refer and Earn Rewards
Refer someone and Earn upto INR 80,000 Cashback/Vouchers, on every successful enrollment
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What is the Executive Programme in Generative AI & Agentic AI for Leaders?

The Executive Programme in Generative AI & Agentic AI for Leaders by IIIT Bangalore and upGrad is designed for professionals who want to lead AI-driven transformation across their organizations.

As businesses move beyond AI experimentation, leaders are increasingly expected to evaluate AI opportunities, govern AI risks, build implementation roadmaps, and create measurable business outcomes.

This program helps professionals develop the strategic, operational, and governance capabilities required to drive enterprise-wide adoption of Generative AI and Agentic AI.

Unlike traditional AI courses that focus on model building or programming, this executive program focuses on business decision-making, AI strategy, governance, economics, and deployment frameworks that leaders can apply immediately within their organizations.

Program Highlights

  • Dual Certification from IIIT Bangalore and upGrad
  • Leadership Immersion Experience
  • 20+ Enterprise AI Case Studies
  • Agentic AI and Enterprise AI Strategy Frameworks
  • Board-Ready AI Leadership Execution Dossier
  • AI Governance and Regulatory Readiness Frameworks

Who Should Enroll in the Executive Programme in Generative AI & Agentic AI for Leaders?

This program is designed for professionals responsible for business growth, innovation, digital transformation, operational excellence, and enterprise strategy.

As AI adoption expands across industries, leaders need more than AI awareness, they need the ability to make informed decisions about AI investments, governance, implementation, and organizational change.

Recent industry research shows that while organizations are increasing AI investments, only a small percentage believe they have achieved true AI maturity.

Ideal Participants

  • CXOs and Business Leaders
  • Product and Innovation Heads
  • Strategy and Consulting Professionals
  • Technology Managers
  • Finance and Risk Professionals
  • Entrepreneurs and Business Owners

What Will You Learn in the Executive Programme in Generative AI & Agentic AI for Leaders?

The curriculum is structured around the real decisions leaders face when implementing AI initiatives across large organizations.

Rather than focusing solely on AI tools, the program teaches how to identify opportunities, prioritize investments, evaluate AI vendors, establish governance frameworks, measure ROI, and scale AI initiatives responsibly.

Key Learning Outcomes

  • Assess organizational AI readiness and maturity
  • Identify high-value AI use cases across business functions
  • Understand Agentic AI architectures and enterprise applications
  • Build AI operating models and governance frameworks
  • Evaluate AI platforms, vendors, and technology ecosystems
  • Analyze AI economics and investment feasibility
  • Navigate AI regulations and compliance requirements
  • Develop board-level AI business cases
  • Lead enterprise-wide AI adoption initiatives
  • Create deployment roadmaps for scalable AI transformation

Tools and Platforms Covered

  • Conversational AI / LLMs: ChatGPT, Claude, Gemini, Perplexity
  • Productivity and Creative AI: Microsoft Copilot, Canva AI
  • Agent Platforms: Microsoft Copilot Studio, AWS Bedrock Agents, Google Vertex AI
  • Open-Source Agent Frameworks: LangGraph, CrewAI, AutoGen
  • Indian / Sovereign AI Models: Sarvam AI, AI4Bharat (IndicTrans), BharatGen Param2, Bhashini
  • Infrastructure: Yotta Shakti Cloud
  • Data and Vector: Pinecone
  • Reporting / Dashboard: Power BI, Looker
  • Image Generation: DALL-E 2

Why Learn Generative AI and Agentic AI as a Business Leader?

Generative AI is transforming how organizations create content, automate knowledge work, and improve productivity. Agentic AI takes this evolution further by enabling AI systems to reason, plan, coordinate actions, and execute tasks with greater autonomy.

Organizations are increasingly exploring Agentic AI to automate complex workflows and improve operational efficiency.

For leaders, understanding these technologies is no longer optional. AI decisions now influence business strategy, customer experience, governance, risk management, and competitive advantage.

This program helps leaders move from AI curiosity to AI execution by providing frameworks that connect technology initiatives with business outcomes.

Why Choose the Executive Programme in Generative AI & Agentic AI for Leaders?

  • Learn Beyond AI Fundamentals: Move beyond prompt engineering and AI awareness to understand how organizations can operationalize AI at scale.
  • Focus on Enterprise AI Adoption: Learn how to integrate AI into existing business processes, operating models, and decision-making frameworks.
  • Governance-First Learning Approach: Build practical expertise in AI governance, cybersecurity, compliance, ethics, and risk management.
  • Agentic AI Leadership Frameworks: Understand how intelligent AI agents can support automation, decision-making, and business transformation initiatives.
  • Real Business Cases: Analyze enterprise AI implementations across industries including financial services, retail, manufacturing, aviation, and technology.
  • Build an Organization-Specific AI Strategy: Develop an AI Leadership Execution Dossier that can serve as a practical roadmap for AI adoption within your organization.

What Makes This Program Different from Other AI Leadership Programs?

Many executive AI programs focus primarily on AI awareness, emerging technologies, or leadership trends.

This program differentiates itself by focusing on six critical leadership dimensions:

  • Opportunity Identification
  • AI Strategy Development
  • Agentic AI Adoption
  • Operating Model Design
  • Governance and Compliance
  • ROI Measurement and Deployment

What Career Outcomes Can Professionals Expect After Completing the Program?

The program is designed to strengthen leadership capabilities in AI-driven organizations rather than prepare learners for entry-level technical roles.

Participants can leverage the knowledge gained to lead AI initiatives, influence strategic decision-making, and contribute to enterprise transformation programs.

Potential Career Pathways

  • AI Transformation Leader
  • Head of AI Strategy
  • Digital Transformation Director
  • Innovation Leader
  • AI Program Manager
  • Enterprise AI Strategist
  • AI Governance Leader
  • Technology Strategy Consultant
  • Business Transformation Consultant
  • Chief Digital Officer

Which Industries Are Investing in Generative AI and Agentic AI Leadership?

Organizations across sectors are investing heavily in AI adoption to improve efficiency, customer experience, innovation, and decision-making. Research suggests that Generative AI is increasingly reshaping business models, operational processes, and competitive strategies.

Industries Driving AI Adoption

  • Banking and Financial Services
  • Insurance
  • Healthcare and Life Sciences
  • Retail and E-commerce
  • Manufacturing
  • Technology
  • Telecommunications
  • Logistics and Supply Chain
  • Energy and Utilities
  • Consulting and Professional Services

FAQs on Executive GenAI for Business Leaders

1. What is the Executive Programme in Generative AI & Agentic AI for Leaders?

The Executive Programme in Generative AI & Agentic AI for Leaders is a leadership-focused certification designed for professionals who want to understand, evaluate, govern, and scale AI initiatives within their organizations.

Rather than teaching participants how to build AI models from scratch, the program focuses on helping leaders identify AI opportunities, develop implementation roadmaps, assess business impact, and create AI-driven transformation strategies.

2. Who should enroll in this Generative AI and Agentic AI leadership program?

The program is best suited for professionals responsible for business growth, innovation, digital transformation, operations, technology strategy, and organizational change.

Typical participants include business leaders, functional heads, consultants, transformation managers, product leaders, entrepreneurs, and senior professionals who want to leverage AI for strategic decision-making.

3. Do I need coding or programming experience to join this program?

No. The curriculum is designed specifically for business and functional leaders. The focus is on AI strategy, governance, adoption, and business implementation rather than software development or machine learning engineering.

Professionals from non-technical backgrounds can comfortably participate and apply the concepts within their organizations.

4. What will I learn in the Executive Programme in Generative AI & Agentic AI for Leaders?

The learning journey is structured around six stages of enterprise AI adoption: Frame, Orchestrate, Resource, Guard, Earn, and Deploy.

You'll learn how to:

  • Assess AI readiness
  • Identify high-impact AI opportunities
  • Design AI operating models
  • Evaluate AI vendors and platforms
  • Build governance frameworks
  • Measure AI ROI
  • Develop deployment roadmaps
  • Create board-level AI investment proposals

5. How is this program different from a regular Generative AI course?

Most Generative AI courses focus on tools, prompt engineering, or model development.

This program takes a leadership-oriented approach by focusing on enterprise AI strategy, Agentic AI adoption, governance, compliance, change management, and business outcomes.

It is designed to help professionals make informed AI decisions rather than simply learn how AI tools work.

6. What is Agentic AI and why is it included in the curriculum?

Agentic AI refers to AI systems that can plan, reason, make decisions, and execute tasks with minimal human intervention.

As organizations move beyond content generation toward intelligent automation, understanding Agentic AI is becoming increasingly important for leaders.

The program introduces participants to agent architectures, multi-agent systems, orchestration frameworks, and real-world enterprise applications of Agentic AI.

7. Which AI tools and platforms are covered in the program?

Participants gain exposure to several leading AI platforms and enterprise technologies, including ChatGPT, Claude, Gemini, Microsoft Copilot, AWS Bedrock Agents, Google Vertex AI, CrewAI, AutoGen, LangGraph, Pinecone, Power BI, and Looker.

The objective is not just tool familiarity but understanding where these technologies fit within an enterprise AI strategy.

8. What kind of projects or practical work will I complete during the program?

Unlike traditional programs that rely heavily on theoretical assignments, this program focuses on real business deliverables.

Throughout the learning journey, participants build six graded artefacts based on their own organization, culminating in an AI Leadership Execution Dossier that can serve as a practical implementation roadmap.

9. What is the AI Leadership Execution Dossier?

The AI Leadership Execution Dossier is the program's capstone deliverable.

It brings together all the frameworks, assessments, governance plans, ROI models, deployment roadmaps, and strategic recommendations developed during the course into a single board-ready document.

By the end of the program, participants have a practical blueprint for AI adoption rather than just theoretical knowledge.

10. Does the program cover AI governance and regulatory compliance?

Yes. Governance is a major component of the curriculum. Participants learn how to manage AI-related risks, establish governance frameworks, and navigate regulations relevant to enterprise AI adoption.

The program also explores topics such as AI ethics, cybersecurity, data privacy, compliance frameworks, and risk management strategies.

11. Why is AI governance becoming important for business leaders?

As AI adoption grows, organizations face increasing scrutiny around transparency, accountability, security, and responsible AI use.

Leaders who understand governance can help their organizations reduce risk, build stakeholder trust, comply with regulations, and scale AI initiatives more effectively.

This is why governance is often considered just as important as AI implementation itself.

12. What industries can benefit from the concepts taught in this program?

The frameworks covered in the program are applicable across industries.

Professionals from banking, financial services, insurance, healthcare, retail, manufacturing, telecom, consulting, logistics, technology, and energy sectors can use the concepts to evaluate and implement AI initiatives relevant to their business environments.

13. How can business leaders use Generative AI beyond content creation?

While content generation is one of the most visible use cases, Generative AI can also support customer service, knowledge management, market research, reporting, decision support, process automation, and employee productivity.

Business leaders who understand these applications can identify opportunities to create both operational and strategic value.

14. What skills can professionals develop through this AI leadership program?

Participants can strengthen several high-value capabilities, including:

  • AI strategy development
  • AI opportunity assessment
  • Technology evaluation
  • Governance and compliance planning
  • Change management
  • Business case development
  • ROI measurement
  • Stakeholder communication
  • Enterprise AI deployment planning

15. Is this program suitable for professionals looking to lead AI transformation initiatives?

Yes. The curriculum is designed around the real-world challenges leaders face when introducing AI into an organization. From identifying opportunities and securing stakeholder buy-in to measuring ROI and managing governance, the program provides a structured approach to leading AI transformation initiatives with confidence.

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