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Appendix: Answers to the Review Questions
Curriculum
10 Sections
10 Lessons
10 Weeks
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Chapter 1: Basic AI Concepts and Terminology
1
1.1
Chapter 1: Basic AI Concepts and Terminology
10 mins
Chapter 2: Basic Concepts of Generative AI
1
2.1
Chapter 2: Basic Concepts of Generative AI
10 mins
Chapter 3: Applications of AI and ML in Real-World Use Cases
1
3.1
Chapter 3: Applications of AI and ML in Real-World Use Cases
10 mins
Chapter 4: AWS AI and ML Services
1
4.1
Chapter 4: AWS AI and ML Services
10 mins
Chapter 5: Model Selection and Prompt Engineering
1
5.1
Chapter 5: Model Selection and Prompt Engineering
10 mins
Chapter 6: Generative AI Applications with RAG and Agents
1
6.1
Chapter 6: Generative AI Applications with RAG and Agents
10 mins
Chapter 7: Model Customization and Evaluation
1
7.1
Chapter 7: Model Customization and Evaluation
10 mins
Chapter 8: MLOps
1
8.1
Chapter 8: MLOps
10 mins
Chapter 9: Implementing Responsible AI with AWS Services
1
9.1
Chapter 9: Implementing Responsible AI with AWS Services
10 mins
Chapter 10: AI Security, Governance, and Compliance
1
10.1
Chapter 10: AI Security, Governance, and Compliance
10 mins
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