Build Real world End-to-End AI Agents using AWS Bedrock

Hands-on course to build Real Agentic AI systems using AWS Bedrock, Python, Lambda, Redshift, Dynamodb and OpenSearch

Description

This course is designed for engineers, data professionals, and software developers who want to build production-grade and real AI applications using AWS Bedrock. You will focus on building actual workflows using AWS Bedrock, KnowledgeBase and Workflows while leverage several other AWS Cloud components such as AWS Lambda, Dynamodb, Redshift, AWS ECS and many more.

You’ll work on real-world use cases across different domains covering everything from RAG and tool invocation to full multi-agent orchestration. The course follows a code-first, deployable approach using core AWS services.

What you’ll build and learn:

• Use Bedrock APIs to query models like Claude, Titan, and Stable Diffusion

• Implement Retrieval-Augmented Generation (RAG) using:

  • Amazon OpenSearch serverless for vector search

  • Amazon Redshift for structured grounding

• Design real agentic applications that:

  • Invoke tools and different application logic via AWS Lambda

  • Integrate with DynamoDB and S3

  • Fetch or write data using custom logic

• Build and deploy chatbots using Streamlit

• Set up multi-agent collaboration scenarios using AWS Bedrock.

• Trigger agents via REST APIs using API Gateway

• Deploy chatbots on AWS ECS using containerized workflows

This course is not about theoretical lectures. It’s for people who want to ship AI systems to AWS cloud infrastructure , backed by hands-on examples that work end-to-end.

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