Workshop contents
Two self-guided modules. Work through them in order — the explainer builds the mental model, the lab puts it into practice.
PART 1 · FOUNDATION
Amazon Bedrock — Explainer
The managed platform for generative AI, one tab at a time: model choice, your data with Knowledge Bases (RAG), Guardrails & security, and agents with AgentCore — then how they map to real integration and deployment decisions.
Open the explainer →
PART 2 · HANDS-ON LAB
Getting Started with Strands Agents
Build AI agents from scratch with the open-source Strands Agents SDK — from a three-line chatbot to a multi-agent system. Custom tools, MCP, agent skills, a Knowledge Base + DynamoDB, and deployment to AWS Lambda.
Start the lab →AWS Skill Builder Course Catalog
Keep building after the workshop. A searchable, filterable catalog of official AWS Skill Builder courses for Amazon Bedrock and the Amazon Quick Suite — filter by service, skill level, and type.
Browse the catalog →- Read Part 1 · Amazon Bedrock Explainer for the mental model — models, RAG, guardrails, and agents.
- Do Part 2 · Strands Agents Lab hands-on in the pre-provisioned Workshop Studio environment below.
🚀 Access the lab environment
The hands-on lab runs in a pre-provisioned AWS Workshop Studio environment — Python, Bedrock model access, the SDK, and the notebooks are already set up. One click opens it with temporary AWS credentials, no personal account needed.
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ap-southeast-1. Some Bedrock models are gated per Region — confirm the model you want is enabled there before committing an architecture, or plan a Cross-Region inference profile.
Optional deep-dive explainers
Short, interactive concept explainers that unpack the mechanics behind the models — useful background before or after the lab.
Tokenizer
How AI reads text — an interactive BPE playground showing why tokens drive cost and context limits.
Open explainer →Embeddings
How tokens become vectors of meaning — the engine behind semantic search and RAG, with a 3D vector-space visualization.
Open explainer →RAG Pipeline
How your documents are retrieved and injected so answers are grounded and cited — the pattern behind Knowledge Bases.
Open explainer →Agentic Pilot Canvas
Design a real agentic pilot for your own workflow — autonomy, tools, guardrails, impact — then score it and generate a paste-ready build kit. Scoring runs offline in your browser.
Open the canvas →