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Study Notes: AWS Certified AI Practitioner
Introduction
Overview & Exam Structure
[PDF Summary] AWS Certified AI Practitioner Study Notes
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 Capabilities and Limitations of Generative AI for Solving Business Problems
2.3 AWS Infrastructure and Technologies for Building Generative AI Applications
Domain 3: Applications of Foundation Models
3.1: Design Considerations for Applications Using Foundation Models
3.2: Choosing Effective Prompt Engineering Techniques
3.3: Describing the Training and Fine-Tuning Process for Foundation Models
3.4 Evaluating Foundation Model Performance
Domain 4: Guidelines for Responsible AI
4.1 Development of Responsible AI Systems
4.2: Recognizing 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 Governance and Compliance Regulations for AI Systems
Mini Practice Test
Mini Practice Test [20 Questions]
Mini Practice Test [Answers & Explanation]
3.2: Choosing Effective Prompt Engineering Techniques
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