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

The AI Architect Track

AI engineering from zero to agent: fundamentals, LLMs, RAG, tools, MCP, skills and architecture on AWS — direct, visual and interactive, for architects and developers.

22 lessons ~6h Certificate

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01. AI, Machine Learning and Deep Learning: the map of the territory

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What you'll be able to do

Precisely explain what AI, ML, LLMs and embeddings are — no hype.
Understand RAG, tool/function calling and structured output, and when to use each.
Describe an agent's anatomy, the ReAct loop, memory and multi-agent patterns.
Know what MCP and skills are and why they standardize tools and capabilities.
Design an AWS AI architecture with Bedrock/AgentCore that is secure and cheap (FinOps).
Decide when NOT to use AI and how to take a prototype to production.

Curriculum

Module 1

Foundations — AI without hype

The AI landscape: from what AI is to models, LLMs, embeddings and prompting.

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Module 2

From model to application

RAG, tool calling, structured output, evaluation and guardrails.

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Module 3

AI agents

Anatomy, ReAct loop, memory, multi-agent patterns, MCP and skills.

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Module 4

AI architecture on AWS

Bedrock, AgentCore, Knowledge Bases, grounding and AI FinOps.

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Module 5

Apply day-to-day + Project

When (not) to use AI, prototype to production, guided project and final exam.

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AI Architect — Foundations

Completed The AI Architect Track and passed the final exam, mastering AI engineering fundamentals: LLMs, RAG, agents, tools, MCP, skills, guardrails and AWS architecture.

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Complete all 22 lessons (read or listen, and do the quizzes) to unlock the final exam and earn your certificate.

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