How admijw/aif-c01-aws-certified-ai-practitioner-notes works
This repository is a study course for the AWS Certified AI Practitioner exam. A learner uses the overview to navigate five numbered subject areas, covering AI/ML fundamentals, generative AI, responsible AI, foundation-model applications, and security/governance, then can practice with the question collection. The tree supports the lesson sequence and subject coverage, but no README or source excerpts document runtime behavior or links between lessons; edges therefore represent the documented curriculum order, not software calls.
Main entry points: 99 - Questions Practice Questions · A - Introducing Basic AI and ML Concepts.md AI and ML Concepts · B - The Machine Learning Pipeline.md ML Pipeline · C - AWS Managed AI ML Services and Applications.md AWS AI Services
Components 21
AI Foundations
- AI and ML Concepts
01 - Fundamentals of AI and ML/A - Introducing Basic AI and ML Concepts.md - ML Pipeline
01 - Fundamentals of AI and ML/B - The Machine Learning Pipeline.md - AWS AI Services
01 - Fundamentals of AI and ML/C - AWS Managed AI ML Services and Applications.md - SageMaker
01 - Fundamentals of AI and ML/D - Unpacking Amazon SageMaker.md
GenAI and Models
- Generative AI
02 - Fundamentals of Generative AI/A - Introducing Generative AI.md - Business Value
02 - Fundamentals of Generative AI/B - Understanding the Business Value of Generative AI.md - AWS GenAI Services
02 - Fundamentals of Generative AI/C - Working with AWS Generative AI Services.md - FM Application Design
04 - Applications of Foundation Models/A - Design Considerations for Foundation Model Applications.md - Prompt Engineering
04 - Applications of Foundation Models/B - Prompt Engineering Techniques.md - Training and Fine-tuning
04 - Applications of Foundation Models/C - Training and Fine-tuning Foundation Models.md - Model Evaluation
04 - Applications of Foundation Models/D - Evaluating Foundation Model Performance.md
Responsible Delivery
- Responsible AI
03 - Guidelines for Responsible AI/A - Responsible AI Systems.md - AWS Responsible AI
03 - Guidelines for Responsible AI/B - Building Responsible AI with AWS Tools.md - AI Security
05 - Security, Compliance, and Governance for AI Solutions/A - Securing AI Systems.md - AI Governance
05 - Security, Compliance, and Governance for AI Solutions/B - Governance and Compliance for AI Systems.md
Exam Preparation
- Practice Questions
99 - Questions - Practice Exam
99 - Questions/CloudCertPrep AIF-C01 Practice Exam.md - ExamTopics Questions
99 - Questions/ExamTopics Question Dumps.md - Tutorials Dojo Sampler
99 - Questions/Tutorials Dojo - Free AWS Certified AI Practitioner Practice Exams AIF-C01 - Sampler.md
Other components
- Learner
- Exam Overview
00 - Everything You Need to Know about the AWS Certified AI Practitioner Exam.md
Connections 20
- Learner → Exam Overview: starts with
- Exam Overview → AI and ML Concepts: begins curriculum
- AI and ML Concepts → ML Pipeline: continues to
- ML Pipeline → AWS AI Services: continues to
- AWS AI Services → SageMaker: continues to
- SageMaker → Generative AI: continues to
- Generative AI → Business Value: continues to
- Business Value → AWS GenAI Services: continues to
- AWS GenAI Services → Responsible AI: continues to
- Responsible AI → AWS Responsible AI: continues to
- AWS Responsible AI → FM Application Design: continues to
- FM Application Design → Prompt Engineering: continues to
- Prompt Engineering → Training and Fine-tuning: continues to
- Training and Fine-tuning → Model Evaluation: continues to
- Model Evaluation → AI Security: continues to
- AI Security → AI Governance: continues to
- AI Governance → Practice Questions: practice with
- Practice Questions → Practice Exam: includes
- Practice Questions → ExamTopics Questions: includes
- Practice Questions → Tutorials Dojo Sampler: includes