Exam Prep: AWS Certified AI Practitioner

Module 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

Module 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

Module 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

Module 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

Module 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