AI Engineer Roadmap
Your complete journey to become an AI Engineer. From RAG to Deploy, learn everything you need to build production AI applications.
Complete RAG - From Zero to Deploy
Python Fundamentals + LLM APIs
Coming soonPrompt Engineering + System Design
Coming soonFastAPI + Professional Backend
Coming soonAdvanced RAG + Optimization
Coming soonMulti-Agent Systems
Coming soonObservability & Production-Ready
Coming soonDevOps & Cloud Production
Coming soonYour Mentors
Gabriel Chaves
AI Engineer | LLMs, RAG & Agentic Systems
Software and AI Engineer with strong experience in intelligent systems and agentic architectures. Designed conversational agents, NLP pipelines and model routing systems. Experience with LLMs, RAG, embeddings, vector databases, LangGraph, CrewAI and ADK.
Focus
LLMs, RAG, Multi-Agent Systems, Applied NLP
Leandro Barbosa
CTO & Lead Engineer | AI & Distributed Systems
Lead engineer and CTO with extensive experience in large-scale distributed systems and AI infrastructure. Architected the largest Video CDN in South America (Globo). Focus on real-world constraints, performance optimization and operational excellence.
Focus
Distributed Systems, Production RAG, Cloud & DevOps