Indian Institute of Technology Kanpur

AI & Digital Transformation

Indian Institute of Technology Kanpur

Artificial Intelligence & Machine Learning

About Programme

Drive Business Innovation and Strategy with AI, Emerging Technologies, and Digital Transformation Frameworks

Designed for working professionals, managers, consultants, and digital transformation leaders exploring artificial intelligence and digital transformation initiatives.
Applied capstone project to build a digital transformation strategy roadmap for real-world business scenarios.
Learn practical approaches to AI and digital transformation through business-focused frameworks and implementation strategies

What you'll learn

Understand how AI and digital transformation initiatives are reshaping business operations, customer experience, and enterprise decision-making across industries.
Learn to evaluate digital transformation strategy frameworks, KPI performance, ROI, and digital maturity within modern business environments.
Explore digital business transformation approaches that combine Agile, Design Thinking, automation, analytics, and cross-functional leadership planning.
Develop practical skills through industry case studies and a capstone project focused on solving real-world digital transformation and organizational change challenges.

Skills you'll gain

Digital Transformation StrategyAI & Digital Business TransformationManaging transformation across teamsUsing data for better business decisionsRedesigning business processes for efficiencyAgile & Design ThinkingKPI & ROI EvaluationTransformation Roadmap PlanningLeadership for Digital TransformationCross-Functional Strategic Thinking

Programme Content

Foundations of Digital Transformation

Key Topics:

  • Understanding digital transformation from industry and academic perspectives
  • Evolution: Digitization → Digitalization → Transformation
  • Business transformation vs. technology adoption
  • Global and India-specific digital ecosystem trends
  • Digital maturity models and data-driven business frameworks
  • Industry transformation examples
  • Learning Outcomes:

    Develop a structured understanding of digital transformation concepts, evolution, and strategic context.

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    Key Drivers of Transformation

    Key Topics:

  • Technology–organization co-evolution frameworks
  • Core enablers: AI, IoT, Cloud, Blockchain, Generative AI
  • API economy and platform integration
  • Data-driven decision-making and analytics strategy
  • Business experimentation models in digital organizations
  • Application exercise: Mapping enablers to strategy
  • Learning Outcomes:

    Identify and align key digital enablers with business strategy and organizational objectives.

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    Disruptive Innovation

    Key Topics:

  • Principles of disruptive innovation and market shifts
  • Low-end vs. new-market disruption
  • Startup-driven disruption across industries
  • Business model innovation and platform dominance
  • Sectoral transformation examples in healthcare and finance
  • Learning Outcomes:

    Analyze disruption patterns and apply innovation frameworks to evolving business models.

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    Digital Transformation in Practice

    Key Topics:

  • Digital transformation in everyday platforms and services
  • India’s digital ecosystem and public infrastructure evolution
  • Managing legacy systems and technology migration
  • Data-driven applications in crisis and healthcare scenarios
  • Future of work, productivity shifts, and economic impact
  • National-level digital transformation indicators
  • Learning Outcomes:

    Understand real-world applications of digital transformation across industries and economies.

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    Strategy, Culture & Change Management

    Key Topics:

  • Drivers of organizational transformation: growth, survival, and competitiveness
  • Organizational readiness and resistance management
  • Innovation culture: Agile, Design Thinking, Lean experimentation
  • Digital leadership and organizational adaptability
  • Evolution of leadership roles in digital enterprises
  • Cultural transformation in technology-driven organizations
  • Learning Outcomes:

    Develop capabilities to lead transformation initiatives and manage organizational change effectively.

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    AI for Executive Decision-Making & Business Strategy

  • AI-Assisted Strategic Planning and Executive Decision-Making
  • Competitive Intelligence and Business Scenario Analysis
  • Demonstration of ChatGPT, Microsoft Copilot, Perplexity AI & NotebookLM
  • Executive Activity: Develop an AI-Supported Strategic Recommendation for a Business Case
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    Measuring & Sustaining Transformation

    Key Topics:

  • KPIs, digital maturity models, and value realization frameworks
  • Financial evaluation and ROI of transformation initiatives
  • Governance, ethics, and compliance in digital adoption
  • Sustaining innovation and transformation cycles
  • Common pitfalls in transformation initiatives
  • Workshop: Digital maturity assessment
  • Learning Outcomes:

    Measure, evaluate, and sustain digital transformation initiatives with a structured approach.

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    Digital Product Management & Platform Strategy

    Key Topics:

  • Digital product lifecycle and management fundamentals
  • Platform ecosystems and network effects
  • Product-led growth strategies
  • Data monetization and platform governance
  • Platform-based business models
  • Learning Outcomes:

    Apply product and platform strategies to build scalable digital business models.

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    AI, Data, and Business Transformation

    Key Topics:

  • Role of AI and analytics in transformation
  • AI applications across business functions
  • Generative AI: capabilities, applications, and limitations
  • AI-driven decision-making frameworks
  • Enterprise use cases in operations and supply chains
  • Exercise: Mapping AI use cases to business value chains
  • Learning Outcomes:

    Leverage AI and data-driven approaches to drive business transformation and decision-making.

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    Designing an AI-Enabled Digital Transformation Roadmap

  • Enterprise AI Adoption and Transformation Planning
  • AI Use-Case Prioritization and Governance Considerations
  • Demonstration of ChatGPT, Gamma AI, Miro AI / Power BI
  • Executive Activity: Design and Present an AI-Enabled Digital Transformation Roadmap for an Organization
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    Digital Risk, Ethics & Cybersecurity

    Key Topics:

  • Digital ethics, privacy, and governance frameworks
  • Cybersecurity risks in cloud and platform environments
  • AI risk and bias management
  • Regulatory landscape in India
  • Building digital trust and compliance mechanisms
  • Enterprise risk and response strategies
  • Learning Outcomes:

    Understand and manage risks, governance, and compliance in digital and AI-driven environments.

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    Capstone Project & Presentations

    Key Topics:

  • Designing a digital transformation roadmap for a chosen domain
  • Assessing digital maturity and defining strategic direction
  • Identifying technology enablers and implementation pathways
  • Defining KPIs, ROI, and risk frameworks
  • Final presentations with expert feedback
  • Learning Outcomes:

    Apply program learnings to design a comprehensive, real-world digital transformation strategy.

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    Prashansa Uttam

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    Indian Institute of Technology Kanpur

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    https://www.iitk.ac.in
    Kanpur, India

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    AI & Digital Transformation | IIT Kanpur