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NEW COURSE
India’s #1 Tech University
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.

Enterprise AI Strategy
Agentic AI & Execution
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
Get to know the course in depth by downloading the course brochure
On completion of this programme, you will receive a prestigious certificate from IIIT-Bangalore
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
2
Instructors
4
Industry Experts
Gain industry exposure with relevant projects taught by leading faculty and industry leaders
8
Case Studies
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
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
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
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
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
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
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
Dedicated Student Support available
For urgent queries, use the Call Back option on the platform.
Inclusions
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
This programme is designed for business leaders, managers, and executives who want to leverage AI in strategy and decision-making. If you are looking to lead generative AI for business initiatives, this course is ideal, even if you don’t have a technical background.
To enroll in this generative AI for leaders certification, you must have a Bachelor’s or Master’s degree (or equivalent) in any discipline, with a minimum of 50% aggregate marks or equivalent CGPA. While a background in tech is not mandatory, 4+ years of professional experience is preferred, especially for those aiming to lead strategic innovation with AI for business leaders' executive programme.
The admission process for the AI for Business Leaders Executive Programme is entirely online and streamlined for working professionals:
This smooth and flexible process ensures eligible professionals can quickly begin their journey into generative AI for business leaders without unnecessary hurdles.
No, you don’t need coding experience. The programme focuses on practical AI leadership skills and generative AI for leaders strategies, helping you bridge technology and business without requiring deep technical knowledge.
Basic familiarity with business processes and digital tools is helpful. The course is structured for AI for business leaders and professionals aiming to implement generative AI for business leaders strategies effectively in their organizations.
Absolutely. The program is suitable for leaders across industries like finance, retail, healthcare, and technology. Anyone looking to lead generative AI for business initiatives or enhance their AI leadership skills can join.
Yes, entrepreneurs looking to integrate generative AI for leaders into their business operations will find this course highly valuable. It provides practical tools and frameworks to make AI-driven decisions and innovations.
Microsoft Copilot licenses provided with this program will remain active until 31st October 2025, after which access will automatically expire.
Upon successfully completing the Generative AI for Business Leaders course, you will receive a Dual Certification from IIIT-Bangalore and Microsoft. These globally recognized credentials validate your expertise in AI leadership and generative AI for business applications, making you stand out in the job market.
To make the most of the AI for business leaders executive programme, you should plan to spend around 8 to 10 hours per week. The video content is short and easy to watch across devices. Apart from this, there will be live sessions, industry workshops, and mentoring, all focused on helping you apply generative AI for business leaders in real-world settings and strengthen your AI leadership skills.
You’ll get complete help throughout the program:
This makes learning in the generative AI for business leaders certification smooth, focused, and manageable alongside work.
You will gain a strong understanding of AI concepts, tools, and strategies. Key skills include AI leadership, generative AI for business, strategic decision-making, and implementing AI solutions effectively across business functions.
The program covers tools like ChatGPT, DALL-E 2, MidJourney, Pinecone, LangChain, and Microsoft 365 Copilot. These tools help you apply generative AI for leaders in real-world business scenarios.
Yes, the course includes hands-on projects and a capstone. This practical work allows you to implement AI for business leaders strategies and apply generative AI for business tools directly to business challenges.
It prepares you for leadership roles where AI plays a strategic role, such as AI Strategist, Innovation Lead, or Product Manager. Completing this course demonstrates your ability to lead generative AI for business leaders initiatives and make data-driven decisions.
Yes, the program is specifically designed to provide AI for business leaders with frameworks and tools to drive AI adoption. It ensures you can lead generative AI for leaders projects and create meaningful impact across your organization.
To secure your spot in the Generative AI for Business Leaders course, you’ll need to pay a seat blocking amount of ₹15,000. This amount is adjusted against your total program fee.
Yes, the program does offer both refund and deferral options under certain conditions:
Refund Policy (for programs with prep sessions):
Microsoft Copilot licenses provided with this program will remain active until 31st October 2025, after which access will automatically expire.
No-cost EMI options are available for the AI for Business Leaders Executive Programme through credit cards from all major Indian banks. These include HDFC Bank, ICICI Bank, Axis Bank, Kotak Mahindra Bank, SBI, Yes Bank, HSBC, CITIBANK, RBL Bank, IndusInd Bank, Bank of Baroda, American Express, and Standard Chartered.
This makes financing your generative AI for business leaders course affordable and hassle-free.
Yes, to opt for No Cost EMI or Credit Card EMI, a minimum transaction of ₹50,000 is required. This applies across all supported banks for enrolling in your generative AI for leaders certification programme or any executive learning course offered through upGrad.
If you're using the 0% Credit Card EMI option for your AI leadership or generative AI course, upGrad does not charge any processing fee or down payment. However, your bank may apply GST or other taxes on the interest portion of the EMI. These bank-imposed charges will reflect in your credit card statement and vary by issuer.
No, international credit cards are not eligible for 0% EMI or Credit Card EMI options. However, you can pay the fee upfront using your international card (either in one shot or part payments), and later contact your bank to convert the payment into an EMI. Please note, interest rates and EMI tenures are decided by your bank, and upGrad will not levy any extra fees for this conversion.
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Foreign Nationals
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .