Generative Ai For Leaders 2025

Integrate AI into your strategy, make smarter decisions, and future-proof your business.

What you'll learn

Understand the fundamentals of generative AI and how it directly applies to business leadership without needing to become a technical expert.

Identify practical AI opportunities that align with your strategic goals and evaluate where AI can drive efficiency, innovation, and growth in your organization

Lead an organization through AI integration by fostering a culture of data-driven decision-making and managing resistance to change

Measure the impact of AI initiatives by tracking key performance indicators, managing risks, ensuring compliance, and calculating ROI

Requirements

You don’t need to know how to code, build models, or understand complex algorithms.

Description

Are you a business leader feeling the pressure to “understand AI” but overwhelmed by the tech jargon and unsure where to start? I was there once!. The truth is, you don’t need to be a data scientist to use the power of AI. What you do need is a clear, business-focused understanding of how AI works, where it can create real value, and how to integrate it responsibly into your organization.That’s exactly what this course delivers.This course, Generative AI for Leaders, is designed specifically for non-technical managers, directors, and entrepreneurs who want to turn AI into a practical, strategic advantage.With this course, you’ll learn how to:Demystify AI concepts with straightforward explanations (no technical experience required).Identify the right AI opportunities aligned with your business goals and team’s maturity.Navigate the ethical, legal, and regulatory landscape so your initiatives are both compliant and trusted.Confidently lead change, overcome resistance, and create a culture that embraces data-driven innovation.Measure ROI and communicate the tangible impact of AI to stakeholders.But this course goes far beyond theory. You’ll get:Real business case studies showing how companies like Harley-Davidson, Mastercard, General Electric, and Ocado used AI to drive growth, efficiency, and customer engagement.A list of AI tools (vetted and tested) that you  you can start using in your business and on your projects immediately.A Curated recommended readings and resources so you can deepen your understanding without getting lost in irrelevant technical papers.By the end of this course, you’ll have the clarity and confidence to:Lead AI conversations with your team and board.Spot and plan meaningful AI initiatives that truly impact your bottom line.Guide your organization through implementation, while avoiding common pitfalls.Is your goal  to improve internal processes?, unlock new market opportunities?, keep your competitive edge sharp?, well, this course will equip you with the insights and tools to make AI work for you, not the other way around.

Overview

Section 1: Course Introduction

Lecture 1 Course Introduction

Lecture 2 Course Content

Lecture 3 What’s in this course for you?

Section 2: Understanding AI & Generative AI

Lecture 4 AI vs. Generative AI: Definitions and distinctions.

Lecture 5 Key concepts: Neural networks, machine learning, and generative models

Lecture 6 Popular tools: GPT models, DALL-E, Stable Diffusion, etc.

Lecture 7 History and evolution of Generative AI

Section 3: Technical Foundations

Lecture 8 How AI learns: Data, algorithms, and training models

Lecture 9 Evaluating AI systems: Accuracy, explainability, and robustness

Lecture 10 Challenges and limitations of Generative AI

Section 4: Why Generative AI Matters for Leaders

Lecture 11 GenAI's impact on business strategy and competitiveness

Lecture 12 How GenAI reshapes decision-making, customer experience, and innovation

Lecture 13 GenAI's role in risk management and productivity enhancement

Lecture 14 The ethical use of AI & GenAI

Section 5: AI and Business Functions Overview

Lecture 15 AI & GenAI applications in different industries

Lecture 16 Application of Adaptive Learning in Education using Gen AI

Lecture 17 Application of Predictive maintenance using Gen AI

Lecture 18 Generative design in product development

Section 6: Cases of Study of the implementation of AI & GenAI

Lecture 19 Case study: Ocado using Gen AI to drive transformation

Lecture 20 Case study: Harley Davidson using Machine Learning

Lecture 21 Case study: How Gen AI transformed Talent Acquisition in Mastercard

Lecture 22 Case study: JLL’s implementation of JLL GPT™

Section 7: Developing an AI Strategy

Lecture 23 Assessing AI readiness: People, processes, and technology

Lecture 24 Identifying AI opportunities aligned with business goals

Lecture 25 Building or buying AI / GenAI capabilities

Section 8: AI and Organizational Culture

Lecture 26 Creating a culture that embraces AI, GenAI and data-driven decision-making

Lecture 27 Overcoming resistance to change when implementing AI & GenAI

Lecture 28 Upskilling employees to work with AI & GenAI systems

Section 9: Building an AI-Driven Workforce

Lecture 29 Talent considerations: Hiring, training, and retaining AI talent

Lecture 30 Collaboration between AI experts and business leaders

Lecture 31 Continuous learning and innovation in an AI-driven company

Section 10: Managing AI Projects

Lecture 32 Deploying AI projects successfully

Lecture 33 AI project lifecycle

Lecture 34 The CPMAI methodology for managing AI projects

Lecture 35 Importance of Risk Management & Mitigation Strategy in Gen AI Projects

Lecture 36 Best Practices for Managing Data as a Strategic Asset

Lecture 37 Data governance and ongoing data management for long-term AI success

Lecture 38 Measuring the ROI of AI initiatives

Section 11: Ethical Implications of AI & Generative AI

Lecture 39 Bias in AI & GenAI models: Identifying and mitigating it

Lecture 40 Transparency and explainability: Building trust in AI

Lecture 41 Deepfakes, misinformation, and the risks of generative AI

Lecture 42 Establishing ethical guidelines for Generative AI use in business

Lecture 43 Governance frameworks for responsible AI deployment

Lecture 44 Legal implications of mishandling AI & GenAI

Section 12: Data Compliance in AI projects

Lecture 45 Data collection and usage policies in the AI era

Lecture 46 Ensuring compliance in AI projects

Section 13: Course Wrap up

Lecture 47 Course Wrap & Next steps

Business leaders and managers who keep hearing about AI but aren’t sure how it actually fits into their day-to-day work or how to use it to make smarter strategic decisions.,Consultants and advisors who want to confidently discuss AI with clients, spot risks, and recommend AI-aligned strategies that add real value.,Team leaders and people managers who know AI is coming (or already here) and want to lead their teams through change, foster an AI-positive culture, and upskill without overwhelm.,Anyone who feels curious but intimidated by AI and wants someone to break it down in simple, practical, business-focused terms.