AWS AI Practitioner Guided Course

This guided course is for learners who want a structured path through AWS Certified AI Practitioner. Start with ordered lessons, answer exam-style questions, review explanations, and use Practice Mode afterward to test retention.

• Follow an ordered AWS AI Practitioner course path instead of starting with random questions.
• Use source-backed scenarios to connect concepts to practical administration decisions.
• Review why the correct answer fits and why the distractors do not.
• Track course progress on this device and return to the next lesson later.
• Move from guided learning into Practice Mode when you are ready to check retention and speed.

The full course continues in order. These early lessons are crawlable here so you can see the shape of the path before the interactive course loads.

1. Lesson 1: Learning Paradigms and Inference
   Lesson 1 uses Learning Paradigms and Inference to connect AI and ML Fundamentals with Fundamentals of AI and ML (1.1).
2. Lesson 11: Deployment and Inference Options
   Lesson 11 uses Deployment and Inference Options to connect AI and ML Fundamentals with Fundamentals of AI and ML (1.2).
3. Lesson 21: ML Lifecycle and Monitoring
   Lesson 21 uses ML Lifecycle and Monitoring to connect AI and ML Fundamentals with Fundamentals of AI and ML (1.3).
4. Lesson 31: Foundation Models and RAG
   Lesson 31 uses Foundation Models and RAG to connect Generative AI and Foundation Models with Fundamentals of Generative AI (2.1).
5. Lesson 43: Prompt Engineering Basics
   Lesson 43 uses Prompt Engineering Basics to connect Generative AI and Foundation Models with Fundamentals of Generative AI (2.2).
6. Lesson 55: Bedrock Knowledge Bases
   Lesson 55 uses Bedrock Knowledge Bases to connect Amazon Bedrock with Fundamentals of Generative AI (2.3).
7. Lesson 67: AWS AI Service Selection
   Lesson 67 uses AWS AI Service Selection to connect AWS AI Services with Applications of Foundation Models (3.1).
8. Lesson 78: Retrieval and Knowledge APIs
   Lesson 78 uses Retrieval and Knowledge APIs to connect Amazon Bedrock with Applications of Foundation Models (3.2).
9. Lesson 89: Model Evaluation Workflows
   Lesson 89 uses Model Evaluation Workflows to connect AI Solution Operations with Applications of Foundation Models (3.3).
10. Lesson 100: AI Operations Patterns
    Lesson 100 uses AI Operations Patterns to connect AI Solution Operations with Applications of Foundation Models (3.4).