Generative AI Leader

109 Students Enrolled 28 Lectures 03:26:53 Hours

Curriculum For This Course

1

Introduction to the Course and the Certification

2Lectures

Time 00:05:29

2

AI Fundamentals for Business Leaders

6Lectures

Time 00:35:28

3

Strategic Thinking with AI

8Lectures

Time 00:47:21

4

Responsible AI- Risks, Ethics, and Governance

4Lectures

Time 00:41:40

5

Implementing AI in the enterprise

5Lectures

Time 00:48:22

6

Final Prep & Prep Exam

3Lectures

Time 00:28:33

Introduction to the Course and the Certification
	1. Welcome to the Course	2:33
	2. Exam Overview – Format, Timing, Question Types, Pass Criteria	2:56

AI Fundamentals for Business Leaders
	1. What is AI? Key Concepts: ML, DL, GenAI, LLMs	3:56
	2. Narrow AI vs General AI vs Superintelligence	5:33
	3. Common use cases across industries	7:04
	4. Key components of an AI system	6:52
	5. How AI changes business and IT models	5:46
	6. Limitations of AI and common misconceptions	6:17

Strategic Thinking with AI
	1. Identifying high-value AI use cases	5:59
	2. Business problem first, not tech first	5:02
	3. Assessing organizational readiness	6:31
	4. AI prioritization frameworks	5:03
	5. Change management in the age of AI	6:17
	6. Executive alignment / stakeholder buy-in	4:23
	7. Aligning AI with business strategy – value drivers & impact	7:46
	8. Strategic pitfalls in AI projects	6:20

Responsible AI- Risks, Ethics, and Governance
	1. What is responsible AI? Fairness, transparency, accountability	7:53
	2. Understanding Bias in AI – examples and mitigation	11:08
	3. AI Governance – policies, oversight, and roles	10:39
	4. Regulations to know – EU AI Act, global compliance trends	12:00

Implementing AI in the enterprise
	1. Building effective AI Teams - Roles & Skills	11:09
	2. The AI Project lifecycle - from pilot to production	9:56
	3. Tools from Google Cloud - Vertex AI, PaLM, Gemini, Gemini Code Assist	9:37
	4. Measuring Succes - KPIs, ROI, Business Outcomes	9:09
	5. Case Study: Enterprise Ai Deployment example	8:31