Ai Ml · AWS · intermediate
AWS Bedrock Developer: Production GenAI on AWS
Master Amazon Bedrock to build, secure, and deploy production-grade generative AI applications on AWS. From foundation model invocation and RAG pipelines to autonomous agents, guardrails, fine-tuning, and serverless deployment with Lambda and API Gateway.
- 11 hours
- 25 lessons
- 6 modules
- updated May 2026
Try it before you sign up
Read a full lesson and answer 3 questions from the Module 1 quiz. No account needed.
Introduction to Amazon Bedrock and Foundation Models
6 modules, 25 lessons
Module 1 is free — lessons, hands-on walkthrough and quiz.
- readIntroduction to Amazon Bedrock and Foundation Models25 min
- videoEnterprise AI with Amazon Bedrock: Embeddings, RAG, and Agents30 min
- hands-onHands-On: Invoking Foundation Models with the Converse API20 min
- quizModule 1 Quiz: Bedrock Foundations10 min
Built by the CloudaQube team
No celebrity instructor — here is exactly what goes into the course instead.
- 01 7 guided hands-on walkthroughs you run in your own AWS account.
- 02 6 module quizzes — every answer comes with an explanation.
- 03 Last updated May 2026.
- 04 Any module can become a hands-on lab in Labs Studio.
What you'll be able to do
- 01 Explain how Amazon Bedrock abstracts foundation model infrastructure and compare available model families
- 02 Identify the right foundation model for a given use case using inference parameters and model evaluation
- 03 Build production RAG pipelines using Bedrock Knowledge Bases, OpenSearch Serverless, and Titan Embeddings
- 04 Apply prompt engineering techniques including chain-of-thought, few-shot, and system prompts with the Converse API
- 05 Develop autonomous AI agents with Bedrock Agents, action groups, and Lambda function integrations
- 06 Evaluate and enforce responsible AI with Bedrock Guardrails, content filters, and PII redaction
- 07 Deploy serverless GenAI APIs using Lambda, API Gateway, and CDK with production observability
- — Python programming (functions, classes, boto3 SDK)
- — Basic AWS knowledge (IAM, S3, Lambda concepts)
- — Familiarity with REST APIs and JSON
- — Understanding of basic machine learning concepts
Before you start
What do I need for the hands-on walkthroughs?
Your own AWS account. The walkthroughs create real resources; the AWS Free Tier covers many of them. Delete what you create when you finish so you don’t keep paying. Pro members can use a CloudaQube AWS sandbox instead.
How long does it take?
About 11 hours of lessons, videos and hands-on walkthroughs across 6 modules.
What’s free?
Module 1 in full — lessons, hands-on walkthrough and quiz — with no card required. Any paid plan (from $8.99/mo) unlocks all 6 modules, and starts with a 14-day free trial.
Start the course with Module 1 free.
No card required. Unlock every module from $8.99/mo when you’re ready.