Detailed Course Outline
Introduction
Domain 1: Fundamentals of AI and ML
- 1.1: Explain basic AI concepts and terminologies
- 1.2: Identify practical use cases for AI
- 1.3: Describe the ML development lifecycle
Domain 2: Fundamentals of Generative AI
- 2.1: Explain the basic concepts of generative AI
- 2.2: Understand the capabilities and limitations of generative AI for solving business problems
- 2.3: Describe AWS infrastructure and technologies for building generative AI applications
Domain 3: Applications of Foundation Models
- 3.1: Describe design considerations for applications that use foundation models
- 3.2: Choose effective prompt engineering techniques
- 3.3: Describe the training and fine-tuning process for foundation models
- 3.4: Describe methods to evaluate foundation model performance
Domain 4: Guidelines for Responsible AI
- 4.1: Explain the development of AI systems that are responsible
- 4.2: Recognize the importance of transparent and explainable models
Domain 5: Security, Compliance, and Governance for AI Solutions
- 5.1: Explain methods to secure AI systems
- 5.2: Recognize governance and compliance regulations for AI systems
Course completion