About this guide
Business, product, and technical professionals who want a foundational AWS AI certification without building models.
Built for practical review: read each topic, test your understanding with original scenarios, and return to the official provider outline for any exam updates.
What’s inside
- AI, ML, and deep learning basics with model metrics
- AWS managed AI services and SageMaker AI features
- Generative AI concepts, Amazon Bedrock, and Amazon Q
- Inference parameters, RAG, vector stores, and agents
- Prompt engineering, fine-tuning, and model evaluation
- Responsible AI, Guardrails, security, and governance
- Thirty original practice questions and a five-week plan
What you’ll take away
- Match a business problem to the right AWS AI service or approach.
- Choose between prompt engineering, RAG, and fine-tuning.
- Apply guardrails, security, and governance controls to a GenAI app.
Frequently asked questions
Does this cover all five AIF-C01 domains?
Yes. Chapters map to all five published domains, with Applications of Foundation Models, the largest at 28%, getting four chapters.
Do I need coding skills for AIF-C01?
No. AWS lists model development and coding as out of scope. The guide focuses on concepts, service selection, and responsible use.
Are the practice questions real exam questions?
No. All 30 questions are original scenarios written to test understanding, not recalled exam items.