Become an AI Leader

Lead Enterprise Agentic AI and
Generative AI Transformation
by Vishlesan i-Hub Foundation, IIT Patna

7
Months · online
90
Live hours
17 Oct
Batch 1 starts
Top reasons to enrol

Become the architect of AI transformation in your organisation.

01 · Immersive learning

Ninety hours, live, with faculty and industry experts

3 hours of live online sessions every week, 90 hours across the programme, taught by IIT faculty and industry experts through real case work and live demonstrations rather than pre-recorded video.

Delivered with Masai

02 · Agentic AI at the core

Go beyond GenAI into agentic systems

A dedicated module on AI agents, multi-agent orchestration and autonomous decision making. Learn to design the guardrails, approval checkpoints and autonomy matrix that define what AI may decide alone, and to recognise the agentic ecosystem on any vendor proposal.

03 · Your AI playbook

Leave with a personalised enterprise AI blueprint

Assess your organisation's AI maturity, evaluate business models, and develop a leadership-ready recommendation for your own organisation through a guided capstone project.

Cohort calendar

Foundation starts 12 September, Batch 1 on 17 October

Foundation live sessions start 12 September and run weekly. The full 7-month Batch 1 programme starts 17 October.

Network

A senior, cross functional peer network

Learn alongside managers and leaders from technology, business and analytics functions across industries. The cohort keeps compounding long after the programme ends.

Who should apply

Built for managers and senior professionals who will lead AI adoption.

The programme focuses on implementation and business impact, not coding: you learn to specify, evaluate and govern AI, and to hold your own in every conversation with product teams, technology teams and vendors.

Technology and product managers

Engineering managers, product managers, IT and delivery leads
  • Translate AI strategy into working systems

Business and functional managers

Leaders in marketing, finance, operations, supply chain, HR and CX
  • Identify where AI creates value in your function

Data and analytics professionals

Data science, analytics and BI professionals moving into leadership
  • Move from technical delivery into leadership

Strategy and advisory professionals

Consultants and transformation office roles
  • Build the enterprise case for AI

Senior executives and CXOs sponsoring AI initiatives will also find the programme valuable, though it is designed first for the managers who run those initiatives day to day.

Eligibility
Graduate or diploma holders from any discipline. Minimum 1 year of full-time work experience, currently working in an organisation, and no coding background required.
Where your mentors work

Learn from mentors who are the industry leaders shaping AI.

Google
Microsoft
Amazon
Uber
PayPal
meta
Flipcart
Nvidia

… and a rotating roster of mentors and AI leaders across every cohort.

Programme overview

AI has moved from buzzword to business reality.

Organisations across the globe are embracing generative AI and agentic AI, and Indian enterprises are uniquely positioned to lead with context, scale and innovation. The AI Officer Programme equips leaders to translate that potential into meaningful business action.

The curriculum offers a practical road map to implement AI and agentic AI solutions across functions, grounded in the Indian business context and aligned with global best practices. Through real world case studies and ethical frameworks, participants learn to apply the right technologies for lasting, measurable impact.

  • Move AI from isolated pilots to enterprise wide innovation
  • Evaluate and deploy generative and agentic AI across the value chain
  • Govern autonomous systems responsibly and in compliance
AutonomyMemoryToolsGovernance
64%

of business owners globally anticipate AI will improve customer relationships and increase productivity.

Source: Forbes
US$359bn

potential addition to India's GDP from generative AI adoption in 2029-30, over baseline estimates.

Source: EY
28.63%

expected annual growth of the AI market in India between 2024 and 2030.

Source: Statista
Masterclasses & mentors

Cutting edge masterclasses by industry experts and faculty.

Deepak KaseraDeepak KaseraMicrosoft8+ yrs experienceLinkedIn
Shubhendu ShishirShubhendu ShishirEx-Amazon9+ yrs experienceLinkedIn
Akashdeep MakkarAkashdeep MakkarGoogle10+ yrs experienceLinkedIn
Priyansh SaxenaPriyansh SaxenaGoDaddy7+ yrs experienceLinkedIn
Chippada BalajiChippada BalajiSwisscom8+ yrs experienceLinkedIn
Amish SatishAmish SatishMicrosoft8+ yrs experienceLinkedIn
Ragoth SundararajanRagoth SundararajanMIT15+ yrs experienceLinkedIn
Mohit UniyalMohit UniyalPayPal7+ yrs experienceLinkedIn
Ashish PrasadAshish PrasadMicrosoft13+ yrs experienceLinkedIn
Praveen Kumar PuniaPraveen Kumar PuniaMastercard8+ yrs experienceLinkedIn
Dr. Vijeth J. KotagiDr. Vijeth J. KotagiIIT DharwadLinkedIn
Prof. Priyam ChakrabortyProf. Priyam ChakrabortyIIT KharagpurLinkedIn
Shaunak ChadhaShaunak ChadhaGoogle8+ yrs experienceLinkedIn
Sarat KumarSarat KumarGoogle20+ yrs experienceLinkedIn
Deepak KaseraDeepak KaseraMicrosoft8+ yrs experienceLinkedIn
Shubhendu ShishirShubhendu ShishirEx-Amazon9+ yrs experienceLinkedIn
Akashdeep MakkarAkashdeep MakkarGoogle10+ yrs experienceLinkedIn
Priyansh SaxenaPriyansh SaxenaGoDaddy7+ yrs experienceLinkedIn
Chippada BalajiChippada BalajiSwisscom8+ yrs experienceLinkedIn
Amish SatishAmish SatishMicrosoft8+ yrs experienceLinkedIn
Ragoth SundararajanRagoth SundararajanMIT15+ yrs experienceLinkedIn
Mohit UniyalMohit UniyalPayPal7+ yrs experienceLinkedIn
Ashish PrasadAshish PrasadMicrosoft13+ yrs experienceLinkedIn
Praveen Kumar PuniaPraveen Kumar PuniaMastercard8+ yrs experienceLinkedIn
Dr. Vijeth J. KotagiDr. Vijeth J. KotagiIIT DharwadLinkedIn
Prof. Priyam ChakrabortyProf. Priyam ChakrabortyIIT KharagpurLinkedIn
Shaunak ChadhaShaunak ChadhaGoogle8+ yrs experienceLinkedIn
Sarat KumarSarat KumarGoogle20+ yrs experienceLinkedIn
Masterclass themes
  • AI First Enterprise Strategy
  • GenAI and Agentic AI for Customer Experience
  • Agentic AI for Autonomous Decision Making
  • Adaptive AI Ecosystems: Multi-Agent Orchestration
  • Evaluating the Agentic Vendor Landscape
  • Responsible Autonomy and AI Risk Governance
  • Agentic AI and its Impact on GenAI Solutioning
  • AI in Cybersecurity

Masterclass topics are indicative and may change as per programme requirements.

The curriculum

Seven months, from AI fundamentals to your own enterprise AI blueprint.

Six modules and a capstone. Every technical concept is taught in plain language, anchored in a real use case, and connected to the management decision it informs. Modules and topics are indicative and may be adapted to fit total programme hours.

Module 1Month 1 · 15 hours

AI Fundamentals and Driving Adoption

Build a working command of AI, machine learning, deep learning and generative AI, then learn how enterprises actually move from pilots to adoption.

  • Build a working command of AI, machine learning, deep learning, and generative AI, explained in business language without code
  • See how classical AI already runs parts of your business: prediction, segmentation, and recommendation systems, with real company examples
  • Assess your organisation's AI maturity using a structured diagnostic, and understand the phases enterprises move through
  • Link AI to business strategy, data, processes, and talent, and learn to frame AI opportunities your leadership will fund
DeliverableAn AI maturity snapshot of your own organisation
Concepts you'll recognise
AI maturity diagnosticPrediction & segmentation systems
You will learn to
Assess AI maturityFrame funded AI opportunitiesSpeak ML, DL and GenAI fluently
Module 2Month 2 · 15 hours

Generative AI for the Enterprise

Understand how large language models actually work, then apply that understanding to briefing, grounding and evaluating GenAI for enterprise use.

  • Understand how large language models (LLMs) work in practice: what a context window is, why hallucination happens, and when output needs human review
  • Write structured prompts the way you write a good management brief, and see why briefing quality decides output quality
  • See Retrieval-Augmented Generation (RAG) in action: grounding AI in your company's own documents so it answers with your policies, products, and data
  • Judge the customisation ladder: prompting, RAG, and fine-tuning, what each costs, and when each is genuinely needed
  • Evaluate GenAI vendors and platforms on cost, latency, data residency, and lock-in, using a practical scorecard
Demonstrated liveA grounded enterprise assistant
Concepts you'll recognise
LLM context and promptingRetrieval augmented generationVendor scorecard
You will learn to
Write structured AI briefsEvaluate GenAI vendorsJudge the customisation ladder
Module 3Months 3-4 · 18 hours

Agentic AI for the Enterprise

The core of the programme. Understand what separates an agent from a copilot, then design and govern the agentic systems that act on behalf of the enterprise.

  • Understand what separates an AI agent from a copilot: autonomy, memory, and the ability to act, not just suggest
  • See how agents connect to company systems through tool use and function calling, and decide which systems an agent may touch
  • Understand multi-agent orchestration: how enterprises divide work across agents, and where these systems fail
  • Design the human-in-the-loop: guardrails, approval checkpoints, and the autonomy matrix that defines what AI may decide alone
  • Demand the right evidence before scaling: evaluation, observability, and why pilots that demo well still fail in production
  • Recognise the agentic ecosystem on any vendor proposal: LangChain, LangGraph, Dify, n8n, and what each choice implies for your teams
Demonstrated liveWorking agentic workflows
Concepts you'll recognise
LangChain / LangGraph (vendor terms)Dify / n8n (vendor terms)Autonomy matrix
You will learn to
Design autonomy matricesApprove agent system accessEvaluate agentic vendor proposals
Module 4Months 4-5 · 15 hours

AI in Marketing and Finance

Apply classical AI, GenAI and agentic thinking across the two functions where enterprise impact is most measurable, through real industry case work.

  • Apply classical AI in marketing: customer segmentation, campaign optimisation, pricing, and recommendations
  • Lead marketing in the age of GenAI: content and personalisation at scale, and AI-assisted market research
  • Apply AI in financial operations: planning, treasury, control, and reporting
  • Understand AI-driven risk management across credit, market, operational, and compliance risk, taught intuition-first
  • Quantify business impact and evaluate vendor solutions through industry case work
Concepts you'll recognise
Marketing AI use casesFinancial risk models
You will learn to
Map AI use cases by functionEvaluate vendor solutionsQuantify business impact
Module 5Month 5 · 9 hours

AI in Operations, Customer Experience and People Functions

Extend the same discipline across the wider enterprise: supply chain, customer experience, and people and legal functions.

  • AI in operations and supply chain: demand forecasting, inventory and production planning, and disruption resilience
  • AI in customer experience: support automation, grounded service assistants, multilingual and voice AI for Indian customers, and the economics of deflection and satisfaction
  • AI in people and legal functions: hiring funnels, employee-facing assistants, and contract and document AI, with the bias and fairness questions every leader must ask
Concepts you'll recognise
Demand forecastingMultilingual & voice AIHiring & document AI
You will learn to
Apply AI across ops, CX and people functionsAsk the right bias and fairness questions
Module 6Month 6 · 9 hours

Responsible AI, Governance and AI Business Models

Close with the questions every AI Officer must be able to answer: how to govern AI responsibly, what the regulatory floor requires, and where the field is going next.

  • Govern AI responsibly: explainability, bias detection and mitigation, and accountability as a management duty
  • Understand the regulatory floor: India's DPDP Act, the EU AI Act, and what compliance will ask before they ask it
  • Evaluate AI-driven business models: established, emerging, and what they mean for your industry
  • Read the road ahead: agentic ecosystems, regulation, and the societal questions shaping enterprise AI
Concepts you'll recognise
India's DPDP ActEU AI ActAI business models
You will learn to
Govern AI responsiblyNavigate DPDP and the EU AI ActEvaluate AI business models
Capstone · Month 7 · 9 hours

The Enterprise AI Blueprint

Acting as the AI Officer of your own organisation, you produce the document every leadership team is currently asking someone to write: where AI genuinely creates value in your business, which opportunity to pilot first, and how to run it responsibly. Select projects will be invited to present before a live panel of faculty and industry experts.

The capstone in three parts
Opportunity Mapping Workshop · a structured use case canvas, pressure tested with peersPilot Proposal · one opportunity developed with autonomy design, cost and governanceLeadership Recommendation · a concise, leadership ready close
Industry immersion

Two days in Bengaluru, with the industry.

A 2-day industry immersion in Bengaluru, conducted towards the end of the programme.

When

A weekend, towards the end of the programme

Held over a Saturday and Sunday, so working professionals can attend without taking leave.

Who

All enrolled students are invited

Every enrolled participant will be invited to attend the industry immersion.

Travel & stay

You arrange your own travel and accommodation

Participants are responsible for arranging their own travel and accommodation in Bengaluru.

Access

Access may be chargeable

Access to the industry immersion may be chargeable. Details will be shared during the programme.

Instructors & Mentors

Taught by practitioners who build AI at scale.

Deepak Kasera
Deepak Kasera
Software Engineer, Microsoft · Ex-Amazon, Arcesium, Samsung

Deepak is a software engineer with 9+ years building scalable APIs and distributed systems at Microsoft and Amazon, and has trained thousands of learners in applied AI, Generative AI, system design and low level design.

View LinkedIn Profile
Sayan Dey
Sayan Dey
Deep learning and generative AI specialist, Ministry of Defence, Qatar Armed Forces · Ex-Infosys, ex-WNS Global Services · Visiting faculty across IITs and IIMs

Sayan has spent over a decade building AI and analytics systems, from business intelligence at Infosys to generative AI consulting for enterprise clients including Walmart, Shell and Cisco, alongside eight years teaching deep learning.

View LinkedIn Profile
Saksham Arora
Saksham Arora
Software Development Engineer II, Intuit · Ex-Microsoft · Top rated mentor on Topmate, 2024

Saksham builds software at Intuit after two stints at Microsoft, as an intern and then a full time engineer, and mentors engineers one on one on Generative and Agentic AI, Java, data structures, algorithms and interview preparation.

View LinkedIn Profile
Arun Nandewal
Arun Nandewal
Senior Product Manager, Microsoft · Ex-BCG, Myntra · MBA, IIM Ahmedabad

Arun is a Senior PM at Microsoft building large scale AI powered commerce systems, including Incentives Copilot and AI Assistant for Microsoft Partners, with prior stints at BCG and Myntra and 1000+ product managers mentored across his career.

View LinkedIn Profile
Your credential

A credential from an IIT Patna innovation hub.

Certificate of CompletionCertificate in AI Officer ProgrammeVishlesan i-Hub Foundation, IIT Patna · a Technology Innovation Hub under NM-ICPS, Department of Science and Technology, Government of India

Participants are awarded a completion certificate on successfully completing 65% attendance (LIVE or recorded) & 3 CGPA

  • Verifiable digital certificate
  • Issued under a national mission of DST, Government of India

This programme does not grant a degree, academic credit or alumni status of IIT Patna. The certificate image is illustrative and may differ from the final issued certificate.

Illustrative previewIllustrative preview of the IIM Trichy Certificate of Completion
The path in

Admissions for Batch 1 are open.

Step 01

Submit application

A short form about your background, your organisation and what you want AI to change in it.

Step 02

Screening call

A conversation with the admissions team to confirm fit and answer your questions.

Step 03

Offer and enrolment

Receive your offer and secure your seat with flexible payment options, including EMI.

Step 04

Cohort starts

Foundation sessions start 12 September and run weekly. Batch 1 of the full programme starts 17 October.

FAQs

Questions, answered.

What is the duration and weekly effort of the programme?
The programme runs for 7 months (30 weeks), delivered as 3 hours of live sessions per week online, 90 live hours in total, designed so you can learn alongside a full time role.
Is the programme live or recorded?
The programme is delivered through live online sessions with faculty and industry experts every week. Sessions are recorded so you can review them if you miss a live session.
How is agentic AI covered?
A dedicated module covers what separates an AI agent from a copilot, tool use and function calling, multi-agent orchestration, and human-in-the-loop design. Working agentic workflows are demonstrated live; your exercises are the leadership work of designing autonomy matrices and evaluating agentic vendor proposals such as LangChain, LangGraph, Dify and n8n.
What is the capstone project?
Acting as the AI Officer of your own organisation, you produce an Enterprise AI Blueprint: an opportunity mapping workshop, a complete pilot proposal for your highest value opportunity, and a leadership ready recommendation. Select projects will be invited to present before a live panel of faculty and industry experts.
Apply

An investment in yourleadership.

Batch 1 starts 17 October

The AI Officer Programme is built for managers and senior professionals who intend to lead enterprise AI transformation, not just talk about it. Seats are limited and allotted in order of enrolment.

What is included
  • 7 months, 90 live hours online
  • Live sessions with faculty and industry experts
  • A dedicated module on Agentic AI for the Enterprise
  • Guided capstone: your Enterprise AI Blueprint
  • 2-day industry immersion in Bengaluru
Batch 1 · Total fee
₹95,000+ 18% GST
₹1,50,000
1Application FeeNon-refundable*₹99
2Registration FeeNon-refundable*₹4,000
3Programe FeeRefundable*₹91,000

Pay Your Program Fee, Your Way

Best Value
Upfront Payment
Pay once, save more.
₹1,08,100
Pay In Parts
Flexible plans, no financial stress.
Instalment 1
₹40,000
Instalment 2
₹68,100
EMI via NBFC Partners
Spread the cost over 6 months.
₹20,179
/ month × 6

*Inclusive of GST,

Program fee is refundable as per our Refund & Withdrawal Policy

Lead the transformation.

Questions before you apply? Message an advisor on WhatsApp.

WhatsApp an advisor·iitp.programs@masaischool.com

Copyright © Nolan Edutech Private Limited. All rights reserved

Privacy Policy & Terms and Conditions
Student And Academic Policies

Address :- Incubex HSR21, 5th Main Rd, Sector 6, HSR Layout, Bengaluru, Karnataka 560102.