
Learn to Lead Enterprise AI Transformation Without Coding
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Note:
Schedule for faculty masterclass will be shared post programme orientation.
The weekly live sessions will be conducted by domain experts/ industry leaders.
This programme does not offer any placement/ salary guarantee
Understand how AI reshapes competitive advantage, operating models, and value creation. Move from "AI is important" to "Here's where AI creates the most strategic impact for us." You will learn:
How business models change with AI (new revenue streams, competitive advantage, platform economics)
Enterprise transformation fundamentals (digitization → digital transformation → AI-native enterprises)
Why 95% of AI pilots fail (hint: it's not the technology)
How to build a strategic AI narrative for your board
You deliver: A one-page Strategic AI Brief identifying your highest-impact AI opportunities
The gap is not in the technology. It is in the leadership.
The Executive Certificate in Digital Transformation for Leaders with AI from iHUB DivyaSampark, IIT Roorkee is a five-month live online programme designed for professionals who are expected to drive AI transformation across their organisations, not just understand it.
Through a structured, leadership-first curriculum built around real enterprise challenges, you will develop:
Strategic thinking
about how AI reshapes business models and competitive advantage
Governance frameworks
to evaluate, approve, and scale AI responsibly
Operating model designs
that make enterprise transformation stick
Execution capability
to lead adoption across functions, manage change, and deliver measurable business value
The programme costs ₹1,30,000 + GST / AED 5,789, requires no prior coding experience, and is taught by domain experts with IIT faculty masterclasses.
You will leave with a board-ready AI transformation strategy and a 12-month roadmap you can implement immediately in your organization.

20 weeks covering enterprise AI strategy, GenAI, Agentic AI, and transformation governance—built around decisions leaders face, not technical implementation. No coding required.

Two dedicated modules teach you what these systems do, where they fail, and what responsible deployment requires—deep enough to evaluate and govern them.

Choose your sector: Track 1: AI in Traditional Sectors (BFSI, healthcare, insurance, government) or Track 2: AI in Technology & Digital Business (tech, IT services, e-commerce). Sector-specific strategies, not one-size-fits-all.

Twice-weekly, 3-hour sessions scheduled for working professionals. Stay in your job while transforming your leadership capability.

Learn through exclusive live online masterclasses delivered by IIT faculty members.

Apply 9+ tools and 4 projects: AI maturity assessments, business model design, workflow redesign, and strategic road mapping with real enterprise tools.

Build a comprehensive AI transformation strategy, operating model, governance structure, and 12-month implementation roadmap for your organization.

Experience in-person faculty interactions, peer networking, and hands-on strategy workshops at iHUB DivyaSampark, IIT Roorkee (Noida) at an additional cost.

Earn a recognized credential from IIT Roorkee's Technology Innovation Hub, established under India's National Mission on Interdisciplinary Cyber Physical Systems.

You don't graduate with just a certificate—you graduate with a board-ready transformation strategy and roadmap you can implement immediately.

Access 15+ career development sessions (resume, LinkedIn, interview prep) plus networking with peers and faculty in AI leadership roles.
The entire programme curriculum will be taught by Domain Experts and will also include a select live exclusive masterclasses by IIT faculty.
All programme highlights stated in this section and across the programme are subject to change at the discretion of iHUB, DivyaSampark, IIT Roorkee and Emeritus.
Only participants who have successfully completed the programme will be allowed to visit the campus.
Overall, 50% attendance required for live sessions to achieve programme completion. Live sessions include both domain expert sessions and lead faculty masterclasses.
Domain expert is the programme leader responsible for conducting weekly live sessions.
The immersion will only be conducted with a minimum number of learners signing up.
Schedule for faculty masterclass will be shared post programme orientation.
iHub DivyaSampark is a Technology Innovation Hub at IIT Roorkee established under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), an initiative of the Department of Science and Technology (DST), Government of India. The hub advances emerging technologies including artificial intelligence, machine learning, robotics, drones, and data analytics through research, innovation, and workforce development. By bringing together academia, industry, and entrepreneurs, iHub DivyaSampark bridges cutting-edge research and real-world impact, contributing to India's digital transformation agenda.
What Makes It Credible?
Established under NM-ICPS by the Department of Science and Technology, Government of India
Focuses on AI, Industry 4.0, Healthcare 4.0, and sustainable smart cities
Coordinated by a high-level interministerial committee headed by the CEO of NITI Aayog, with participation from MeitY, DST, and other Central Ministries
Area | Where You Are Today | Where You'll Be After 20 Weeks |
Evaluating AI proposals | You can't always tell which AI proposals are credible and which are well-packaged demos. | Evaluate AI proposals with technical grounding and know what a credible RAG architecture and strong agentic AI governance actually look like. |
AI strategy & roadmapping | You know AI should be part of your strategy but lack a structured way to sequence it. | Have a prioritised AI transformation blueprint with sequenced initiatives, operating model changes, and KPIs tied to business outcomes. |
Moving from pilot to scale | Your pilots have worked, but none have scaled and you're not sure why. | Have a framework for why pilots fail at scale, and what governance, change management, and executive sponsorship enterprise adoption actually requires. |
Operating model & governance | AI governance feels like a compliance exercise, not a leadership one. | Design human-AI operating models and change readiness frameworks, and lead the people side of AI adoption, not just the technology. |
Cross-functional AI investment | You evaluate AI function by function, with no way to compare or prioritise. | Prioritise cross-functional investment across marketing, finance, operations, workforce, and decision systems with a common framework. |
Credential & credibility | AI transformation is on your agenda, with no demonstrated ability to lead it end-to-end. | Hold a Executive Certificate and a capstone AI transformation blueprint |
Module 1: The New Enterprise in the AI Era
Evolution from digitisation to digital transformation to AI-native enterprises
Changing operating models and platform economies
Digital disruption patterns and enterprise reinvention using AI
Transformation maturity frameworks and AI-driven competitive advantage
Module 2: Strategic Thinking for AI-Led Businesses
Business model innovation and AI-first value propositions
Digital ecosystems, network effects and AI-enabled customer experience transformation
Data monetisation opportunities and enterprise transformation roadmaps
AI-led growth strategies
Module 3: AI Systems for Business Leaders
Enterprise AI fundamentals for leaders, predictive vs generative vs agentic AI
Enterprise AI lifecycle and AI capability mapping
Structured vs unstructured data and AI feasibility assessment
Where AI succeeds vs fails in business
Module 4: Generative AI and Enterprise LLMs
LLM ecosystem, prompting frameworks and multimodal AI
Enterprise copilots, embeddings and vector databases
RAG concepts, fine-tuning approaches and hallucination management
AI reliability and enterprise GenAI architectures
Module 5: Agentic AI: How AI Systems Think and Act
What makes AI agentic, AI agents vs traditional software vs GenAI
How agents reason, remember and plan
Autonomous task execution for leaders
AI orchestration at the enterprise level
Module 6: Agentic AI in the Enterprise: Use Cases, Governance and Oversight
Real enterprise agentic AI use cases across BFSI, healthcare, retail and IT services
Multi-agent collaboration in enterprise workflows
Human-in-the-loop systems and agent governance frameworks
Risk, accountability, guardrails and leader's checklist before deploying agentic AI
Module 7: AI-Powered Decision Systems
AI-assisted decision making and forecasting and scenario planning
KPI intelligence systems and executive dashboards
Optimisation concepts and risk sensing
AI-powered business monitoring and decision augmentation frameworks
Module 8: Designing the AI-Ready Enterprise
AI-native operating models and enterprise transformation layers across people, process, technology and data
Characteristics of AI-ready organisations
Centralised vs federated AI structures and enterprise capability mapping
AI transformation maturity models and aligning AI initiatives with business strategy
Module 9: Enterprise Data, Architecture and Technology Strategy
Data readiness for enterprise AI and modern enterprise data architectures
Enterprise AI stack for business leaders and APIs and enterprise integrations
Cloud and hybrid AI infrastructure concepts
Build vs buy vs partner AI decisions, scalability and interoperability
Module 10: AI Transformation Blueprint and Strategic Roadmapping
Building an enterprise AI transformation strategy
Identifying high-value transformation opportunities and prioritising AI initiatives across functions
Transformation sequencing and roadmap design and capability-building strategies
Operating model redesign and aligning AI transformation with business KPIs
Module 11: From AI Pilots to Enterprise-Scale Adoption
Why enterprise AI pilots fail and experimentation and pilot frameworks
Scaling successful AI initiatives and value realisation and adoption metrics
Governance mechanisms for scaling AI and managing organisational resistance
Enterprise-wide adoption playbooks
Module 12: Human-AI Operating Models, Governance and Change Readiness
Human-AI collaboration frameworks and redesigning workflows around AI systems
AI-enabled productivity and decision systems
Transformation governance structures, executive sponsorship and stakeholder alignment
Workforce readiness, change management and responsible AI innovation culture
Module 13: Marketing, Sales and Customer Intelligence
AI-driven personalisation and customer journey analytics
Conversational AI and AI-powered campaign optimisation
Customer insight engines and AI for growth strategy
Customer engagement transformation
Module 14: Finance, Risk & Strategic Planning
AI in FP&A, fraud analytics and risk intelligence
AI-driven forecasting and financial automation
Strategic decision modelling and enterprise performance management
Scenario-based planning
Module 15: Operations, Supply Chain and Intelligent Enterprises
AI-enabled planning and autonomous supply chains
Procurement intelligence and logistics optimisation
Demand sensing and resilient operations
Control towers and enterprise operational intelligence
Module 16: Workforce Transformation and Human-AI Collaboration
Human-AI collaboration models and workforce transformation
AI adoption resistance and capability building
AI-enabled talent strategy and future of work
Organisational redesign in AI-enabled enterprises
Module 17: Leading Enterprise AI Transformation
Personal leadership of AI transformation and executive sponsorship and accountability structures
Board-level AI communication and AI investment prioritisation and portfolio thinking
AI business case construction and ROI modelling and transformation metrics
Vendor evaluation, AI procurement strategy and cost-benefit frameworks for AI initiatives
Track 1: AI in Traditional sectors Relevant for: BFSI, healthcare, insurance, government, infrastructure, energy
Module 18: Applications and Use Cases
AI-enabled citizen services and public administration
Intelligent healthcare operations & clinical decision support
AI in banking and insurance for underwriting
Fraud detection & customer service
Predictive maintenance for infrastructure & utilities
AI-driven asset management
Demand forecasting & planning
AI for compliance
Safety and operational efficiency across regulated industries
Hands-on: Identify and map one high-impact AI opportunity in your organisation—define the business problem, stakeholders, required data, expected outcomes, implementation considerations and success metrics.
Module 19: Transformation Strategy, Governance & Enterprise Adoption
Modernising legacy systems with AI
Balancing innovation with regulatory compliance
Responsible AI in highly regulated industries
Data governance & privacy
AI risk management and human oversight
Public-private AI ecosystems
Vendor evaluation for enterprise AI
Organisation-wide adoption strategies
Sector-specific AI transformation roadmaps
Hands-on: Develop a one-page AI transformation roadmap for your organisation, outlining priority use cases, governance considerations, implementation phases, expected business value and key risks.
Track 2: AI in Technology and Digital Business Relevant for: Tech, IT services, e-commerce, media, D2C, GCCs, digital enterprises
Module 18: Applications and Use Cases
AI-native SaaS product strategy and AI in software development lifecycle and developer productivity
GCC evolution with agentic AI and AI-driven personalisation and customer intelligence
Platform business models and AI and data-as-a-product and monetisation models
Hands-on: Map one AI opportunity in your product or service, capability needed, build vs buy decision, competitive advantage
Module 19: Strategy, Ecosystems and Transformation
Ecosystem orchestration and network effects with AI and AI disruption, incumbents vs digital natives
AI ethics, IP and data ownership and talent and org design for AI-first tech companies
AI in omnichannel and D2C strategy and AI transformation roadmap for tech and digital enterprises
Hands-on: Draft a one-page AI transformation brief for your organisation, opportunity prioritisation, ecosystem play, and key risks
Module 20: Cross-Functional AI Transformation Project
Enterprise AI roadmap design and AI operating model blueprint
AI opportunity prioritisation and transformation execution planning
Note:
Modules/topics are indicative only, and the suggested time and sequence may be dropped/modified/ adapted to fit the total programme hours.
Learners will select either Track 1: AI in Traditional Sectors or Track 2: AI in Tech & Digital Business. Only one track is to be completed during this period.
The live session timings during the two Industry Track weeks will differ from the regular live session schedule.
Integrate your learning into a comprehensive AI transformation strategy.
The capstone project enables participants to apply programme learnings to a real organizational challenge by developing an executive AI transformation strategy.
Participants will create:
Enterprise AI transformation strategy
Transformation roadmap
Operating model blueprint
Governance considerations
Implementation approach
Executive presentation and report
The capstone demonstrates strategic thinking, governance awareness, and implementation planning capabilities.

You will design a roadmap and operating model for a real transformation challenge in your organisation, covering opportunity prioritisation, sequencing, governance, and risk. Not a framework exercise. Your own blueprint.

By the end, you will have evaluated AI opportunities across marketing, finance, operations, workforce, and decision systems, and be able to prioritise cross-functional investment with a common framework rather than function by function.

Evaluate GenAI and Agentic AI use cases, know what credible vendor proposals look like, and design human-AI operating models and governance structures, so you can govern AI without delegating that judgement to technical teams.

Professionals with AI skills earn up to 56% higher wages compared to peers in similar roles. Leaders who can translate AI into enterprise outcomes are among the most sought-after profiles in the market today.
PwC Global AI Jobs Barometer, 2025
Note:
Neither Emeritus nor iHUB DivyaSampark, IIT Roorkee promises or guarantee placements, career opportunities, or salary hikes. This programme is designed to build knowledge and leadership capability. Career outcomes are indicative of broader market trends and not a commitment by the programme or its partners.
Differentiators | Executive Certificate in Digital Transformation & AI for Leaders | Generic AI Leadership Programme | Generic Digital Transformation Programme |
Programme Outcome | Build an enterprise AI transformation roadmap and implementation blueprint through the capstone project. | Typically focuses on AI concepts and strategy discussions. | Focuses on digital transformation frameworks without deep AI implementation. |
AI for Business Leaders | Covers enterprise AI, GenAI, Agentic AI, AI decision systems, and AI operating models. | Primarily focuses on AI fundamentals and GenAI concepts. | AI is usually covered as one part of broader digital transformation. |
Enterprise AI Adoption | Learn how to identify opportunities, prioritise initiatives, govern AI, and scale adoption across the enterprise. | Often focuses on AI use cases with limited emphasis on enterprise adoption. | Covers transformation principles but not enterprise AI implementation in depth. |
Functional Transformation | Learn how AI can transform marketing, finance, operations, HR, customer experience, and industry-specific functions. Also, get an opportunity to choose your industry track. | Functional AI applications are usually covered at a high level. | Focus is typically on digital transformation rather than AI-led functional change. |
Leadership & Governance | Covers AI governance, responsible AI, operating models, investment decisions, vendor evaluation, and executive leadership. | Governance is generally limited to responsible AI discussions. | Leadership focuses on digital transformation rather than AI governance. |
Industry Context | Dedicated industry tracks embedded in the programme Track 1: AI in Traditional sectors and Track 2: AI in Technology and Digital Business | Usually uses cross-industry examples without dedicated tracks. | Industry context varies by programme. |

Professor (HAG) & Head, Department of Computer Science and Engineering, IIT Roorkee
Prof. R. Balasubramanian is a Professor (HAG) and the Head of the Department of Computer Science and Engineering at IIT Roorkee. He also serves as Joint Faculty at the Mehta F...
Note:
Programme faculty might change due to unavoidable circumstances, and revised details will be provided closer to the programme start date.
Only Select-live masterclasses would be conducted by IIT faculty, the weekly live sessions will be conducted by domain experts/ industry leaders.

Complete all graded mini projects (assignments) and achieve a minimum overall score of 50%
Score at least 50% in the Capstone Project
Maintain a minimum of 50% attendance throughout the programme
On successful completion, participants will be awarded the iHUB DivyaSampark, IIT Roorkee Certificate of Completion.
Note: Sample certificate is indicative. The Institute reserves the right to revise it.
Alongside developing expertise in digital transformation and AI leadership, learners gain access to career resources that support professional growth. These recorded sessions focus on helping you showcase your skills, strengthen your online presence, and prepare for future opportunities.
15 Recorded Sessions and Resources in the Following Categories (Please note: These sessions are not live):
Resume & Cover Letter
Navigating Job Search
Interview Preparation
LinkedIn Profile Optimisation
Note:
This service is available only for Indian residents enrolled in select Emeritus programmes.
iHub DivyaSampark, IIT Roorkee or Emeritus do NOT promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. iHub DivyaSampark, IIT Roorkee is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.
iHUB DivyaSampark, IIT Roorkee does not provide placement assistance for this programme.
The Executive Certificate in Digital Transformation for Leaders with AI is a 20-week, 100% live online programme offered by iHUB DivyaSampark, IIT Roorkee. It is designed for senior professionals who are expected to lead AI-driven digital transformation in their organisations. The curriculum covers enterprise AI strategy, Generative AI, Agentic AI, enterprise operating models, AI governance, and functional transformation across marketing, finance, operations, workforce and decision systems.
The Executive Certificate in Digital Transformation for Leaders with AI is designed for business leaders, functional heads, digital transformation leaders, senior consultants, and innovation professionals who are responsible for driving AI adoption and transformation outcomes in their organisations. It is particularly relevant for professionals in India's BFSI, technology, e-commerce, GCC, and enterprise sectors looking to lead AI-driven change.
Yes. The Executive Certificate in Digital Transformation for Leaders with AI requires no coding experience or technical background. It is built specifically for business leaders, not technologists. A bachelor's degree and relevant professional experience are all you need to apply, making it suitable for professionals looking for an AI course for non-technical leaders.
Most AI and digital transformation courses in India build awareness. The Executive Certificate in Digital Transformation for Leaders with AI builds leadership capability. It includes three dedicated weeks on Generative AI and Agentic AI, five weeks on functional AI transformation across business functions, and two industry tracks: Track 1: AI in Traditional Sectors and Track 2: AI in Technology and Digital Business. None of these are standard in other AI leadership courses in India available today.
The Executive Certificate in Digital Transformation for Leaders with AI dedicates three weeks specifically to GenAI and Agentic AI with a leader's lens. Week 4 covers Generative AI and Enterprise LLMs including prompting frameworks, RAG concepts, hallucination management and enterprise GenAI architectures. Week 5 covers how Agentic AI systems think, reason, plan and act autonomously.
Week 6 covers Agentic AI in the enterprise including real use cases across BFSI, healthcare and retail, agent governance frameworks, risk, accountability and guardrails, and a leader's checklist before deploying agentic AI in your organisation. This makes the programme particularly relevant for professionals looking for an AI strategy course for leaders.
Week 11 of the Executive Certificate in Digital Transformation for Leaders with AI is dedicated entirely to why enterprise AI pilots fail and what it takes to scale them successfully. Participants leave with a framework covering governance mechanisms, adoption metrics, organisational resistance management, and enterprise-wide adoption playbooks that can be applied immediately in their organisations.
The Executive Certificate in Digital Transformation for Leaders with AI covers the evolution from digitisation to digital transformation to AI-native enterprises, alongside enterprise AI strategy, Generative AI, Agentic AI, AI-powered decision systems and transformation governance. The 20-week curriculum is designed around decisions leaders face, rather than technical implementation, and does not require coding experience.
The Executive Certificate in Digital Transformation for Leaders with AI covers AI applications across marketing and sales, finance and risk, operations and supply chain, workforce transformation, and decision systems. Participants learn to identify high-value AI opportunities, prioritise initiatives across functions, align AI transformation with business KPIs, and develop an enterprise AI transformation roadmap.
The Executive Certificate in Digital Transformation for Leaders with AI combines a leadership-first curriculum with two dedicated industry tracks, 100% live online learning, exclusive live masterclasses by IIT faculty, hands-on projects and an executive capstone. Participants choose between AI in Traditional Sectors or AI in Technology and Digital Business and complete an AI transformation strategy, operating model blueprint, governance considerations and implementation approach as part of the capstone.
After completing the Executive Certificate in Digital Transformation for Leaders with AI you will be able to evaluate AI proposals with technical grounding, build an enterprise AI transformation roadmap, govern Generative AI and Agentic AI responsibly, apply AI across marketing, finance, operations and workforce functions, and present a board-level AI business case with real ROI logic to senior stakeholders and boards. The programme builds capabilities relevant to an AI course for business managers in India.
The fee for the Executive Certificate in Digital Transformation for Leaders with AI is INR 1,30,000 plus GST| AED 5789 . Payment can be made in instalments. For detailed payment schedule information, please contact the programme advisor.
The Executive Certificate in Digital Transformation for Leaders with AI includes more than 10 hands-on exercises using real AI tools including ChatGPT, Gemini, NotebookLM, Copilot, Perplexity, Miro, Gamma, Napkin, and Claude. The programme culminates in a capstone AI transformation blueprint built around a real challenge from your organisation
Upon successful completion you will receive the Executive Certificate in Digital Transformation for Leaders with AI from iHUB DivyaSampark, IIT Roorkee, a Technology Innovation Hub established under the Government of India's National Mission on Interdisciplinary Cyber Physical Systems. The certificate is awarded upon completing all graded exercises with a minimum score of 50%, achieving at least 50% in the capstone project, and maintaining a minimum attendance of 50% throughout the programme.
Yes. An optional on-campus immersion at IIT Roorkee is available to participants who successfully complete the Executive Certificate in Digital Transformation for Leaders with AI. Campus immersion and networking events may be available at an additional cost.
Participants in the Executive Certificate in Digital Transformation for Leaders with AI should expect to dedicate approximately 8 to 10 hours per week, including two live online sessions of 3 hours each, plus assignments and project work. The programme is designed to fit a working professional's schedule with no career breaks needed.
Flexible payment options available.
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