Generative AI on AWS: Bedrock, RAG and Agents in Production

Design and deploy generative AI solutions with AWS services — from a single Bedrock call to a secure, observable, cost-controlled enterprise RAG platform.

In 20 hours you learn to design and deploy generative AI on AWS the way it actually runs inside companies: Amazon Bedrock and its foundation models (Claude, Llama, Amazon Nova and others), the Converse API, Knowledge Bases, Agents for Amazon Bedrock, Lambda, API Gateway, S3 as a document repository and OpenSearch for vector search. Every service is framed as an engineering decision: when to use it, what it costs, what breaks and how to run it.

It is taught by someone who runs AI in production and operates AWS, Kubernetes and FinOps every day at Mondini IT. Least-privilege IAM, Guardrails, observability and cost management are not saved for the end — they show up in every module. Every module includes a video lesson, an audio version, a handbook chapter, a quiz and a hands-on lab (with free-tier options and step-by-step resource cleanup), and you finish with an enterprise RAG platform deployed entirely on AWS.

What's included:

• 38 video lessons (5.0 h of video)

• MP3 audio of every lesson

• Complete PDF handbook

• Quizzes with answer key and hands-on labs

• Captions on every lesson

Instructor: Diego Mondini — SRE / Platform Architect, founder of Mondini IT.