Executive Certificate in Digital Transformation for Leaders with AI

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

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.

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 programmes available in India 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.

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.

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 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.