Curriculum For This Course
Video tutorials list
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Introduction to the Course and the Certification
Video Name Time 1. Welcome to the Course 2:33 2. Exam Overview – Format, Timing, Question Types, Pass Criteria 2:56 -
AI Fundamentals for Business Leaders
Video Name Time 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
Video Name Time 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
Video Name Time 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
Video Name Time 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 -
Final Prep & Prep Exam
Video Name Time 1. Exam Tips: What to Focus On 8:51 2. Practice test – 10 Realistic questions with explanations 15:51 3. Final checklist & takeaways 3:51
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