Course curriculum

    1. Segment 00: Reading - Welcome to the Course: Course Overview

    2. Segment 01: Introduction and Welcome

    3. Segment 02: Meet Your Instructor

    4. Segment 03: Course Roadmap 

    1. Segment 04: Introduction to Generative AI

    2. Segment 05: Generative AI Use Cases

    3. Segment 06: Challenges for AI Adoption and Implementation

    4. Segment 07: AI and Business Strategy

    5. Segment 08: Reading - Building an AI Business Strategy: A Beginner's Guide

    6. Segment 09: Hands-On-Learning: Assessing the feasibility of Generative AI Adoption

    1. Segment 10: Change Management Fundamentals

    2. Segment 11: Change Management Models for AI

    3. Segment 12: Impact Assessment and Change Readiness for AI

    4. Segment 13: Formulating a change management strategy for AI Adoption and Implementation

    5. Segment 14: Reading - Adopting AI-Driven Change Management: Key Strategies for Organizational Growth

    6. Segment 15: Hands-On-Learning: Crafting a Change Management Strategy for AI Adoption

    7. Segment 16: Quiz - Change Management Models for AI Adoption and Implementation

    1. Segment 17: Identifying Key Stakeholders in AI Adoption 

    2. Segment 18: Communicating AI’s Value and Managing Expectations 

    3. Segment 19: Overcoming Resistance to AI Implementation 

    4. Segment 20: Reading - From Resistance to Advocacy: Strategies for Overcoming Organizational Resistance to AI  

    5. Segment 21: Building a Collaborative AI Culture 

    6. Segment 22: Hands-On-Learning: Engaging Stakeholders and Overcoming Resistance in AI Adoption

    7. Segment 23: Quiz - Stakeholder Engagement and Overcoming Resistance for Generative AI Implementation

    1. Segment 24: Tracking AI Implementation and Performance Metrics

    2. Segment 25: Gathering Feedback and Addressing Challenges

    3. Segment 26: Embedding AI into Business Processes

    4. Segment 27: Reading - 19 Ways To Effectively Integrate AI Into Business Processes In 2025

    5. Segment 28: Creating a Culture of Continuous AI Improvement-

    6. Segment 29: Hands-On-Learning: Tracking AI Success and Driving Continuous Improvement

    7. Segment 30: Quiz - Monitoring AI Implementation and Sustaining AI-Driven Change

    1. Segment 31: Ethical Challenges in GenAI Implementation Adoption

    2. Segment 32: GenAI Regulations and Compliance 

    3. Segment 33: AI Risk Management Frameworks

    4. Segment 34: Hands-On-Learning: Developing a GenAI Ethics and Risk Mitigation Plan

    5. Segment 35: Building Trust and Transparency in GenAI

    6. Segment 36: Reading - Building Transparency into AI Projects

    7. Segment 37: Quiz - Ethical Considerations and Risk Management in AI Adoption

About this course

  • Free
  • 40 lessons
  • 4 hours of video content

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