Day 1: Exam Guide + Bedrock Foundations
Learning Objectives
- - Understand the AIP-C01 exam structure, domains, and skill weighting
- - Identify architectural design patterns for GenAI on AWS
- - Understand when to use Bedrock vs SageMaker vs custom deployment
- - Learn the InvokeModel, Converse, and streaming APIs
- - Apply Well-Architected GenAI Lens principles
Tasks
Tasks
0/5 completed- Read60m
Official Exam Guide PDF - Read End to End
Mark every skill that feels unfamiliar. This is your roadmap for the next 28 days.
- Read45m
Amazon Bedrock User Guide - Getting Started
Covers InvokeModel, InvokeModelWithResponseStream, StartAsyncInvoke, and the Converse API. Understand the request/response format for each.
- Read30m
How to Choose Generative AI on AWS
Service selection decision guide. Critical for exam questions asking 'which service should you use?'
- Read30m
Amazon Bedrock API Reference
Skim the API operations: InvokeModel, InvokeModelWithResponseStream, StartAsyncInvoke, Converse, ConverseStream. Understand input/output schemas.
- Watch15m
Getting Started with Amazon Bedrock (AWS Official)
AWS official walkthrough of the Bedrock console, model access, and playground.
Exam Skills
Write your understanding, then reveal the reference answer.
Hands-On Lab
Build real muscle memory with these activities.
Explore Bedrock Playground with Multiple Models
Try the Bedrock console playground to invoke different model families and compare outputs.
- 1 Open the AWS Console and navigate to Amazon Bedrock
- 2 Go to Model access and enable Claude, Nova, and Llama models
- 3 Open the Chat playground and select Claude Sonnet
- 4 Enter a prompt like 'Explain the Well-Architected Framework for GenAI in 3 bullet points' and note the response
- 5 Switch to Amazon Nova Pro and resubmit the same prompt to compare outputs
Run Bedrock Workshop InvokeModel Notebook
Clone the Bedrock workshop and run the text generation notebook to practice InvokeModel and Converse APIs.
- 1 Clone the amazon-bedrock-workshop repository from GitHub
- 2 Open the 01_Generation notebook in SageMaker Studio or locally with Jupyter
- 3 Run the InvokeModel example with Claude and observe the request/response format
- 4 Run the Converse API example and compare the unified format to InvokeModel
- 5 Modify the prompt and temperature parameter to see how outputs change
Scenarios
Think through each scenario before revealing the answer.
Fintech AI Chatbot PoC Design
- •Which managed service eliminates infrastructure management for FM access?
- •How do you keep sensitive data traffic private?
- •What safety measure protects financial PII?
Practice Questions
6 questions across 3 difficulty levels.
Further Reading
Go deeper into today's topics.
Amazon Bedrock Deep Dive — SimpleAWS Newsletter
Comprehensive overview of Bedrock architecture: model access, inference options, agents, guardrails, and pricing tiers.
Converse API Guide — Carry Out a Conversation
Official guide covering Converse and ConverseStream operations — the unified, model-agnostic API for all Bedrock models.
Amazon Bedrock Complete Deep Dive — DEV Community
End-to-end Bedrock walkthrough: model access, playground, APIs, Knowledge Bases, Agents, and Guardrails.
Well-Architected GenAI Lens
Architecture patterns and best practices for GenAI workloads tested in Domain 1.
Amazon Bedrock Recipes — All Hands-On Examples
Curated recipe portal: Converse API, agents, flows, guardrails, knowledge bases — runnable notebooks.