Who is Fernando F. Azevedo?

Fernando F. Azevedo is a Senior Solutions Architect at Banco Itaú with 16+ years of experience across AWS, event-driven architecture, DevSecOps, Data Mesh, AI and financial systems.

What technical topics does Fernando work with?

Fernando works with AWS, Kubernetes, Kafka, Data Mesh, Amazon Bedrock, RAG, DevSecOps, observability, financial systems and architecture communication using C4, ADRs and trade-off analysis.

Is Fernando available for professional conversations?

Fernando is currently building at Banco Itaú and is open to thoughtful conversations about architecture, cloud, AI, engineering leadership, community, podcasts and technical collaboration.

Free course · TrackFree

Production RAG on AWS

From chunking to evaluation: how to build reliable, cheap and observable Retrieval-Augmented Generation on AWS — hybrid search, reranking, Knowledge Bases, OpenSearch and guardrails.

12 lessons ~4h Certificate

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What you'll be able to do

Explain the end-to-end RAG pipeline and each design decision.
Choose chunking and search strategies (vector, keyword, hybrid) with judgment.
Apply reranking, query rewriting and agentic RAG to raise quality.
Evaluate a RAG system (faithfulness, relevance, cost and latency).
Build RAG on AWS with Bedrock Knowledge Bases and OpenSearch, with citations and guardrails.
Take RAG to production: cost/FinOps, latency, cache, security and observability.

Curriculum

Module 1

RAG fundamentals

Why RAG, embeddings and vector search, chunking and the end-to-end pipeline.

0/4

Module 2

Quality retrieval

Hybrid search, reranking, metadata, advanced/agentic RAG and evaluation.

0/4

Module 3