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Workbook - AI Engineering Bootcamp
_To be written._
191
Lessons
22
Modules
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Bootcamp access
Course content
1Week 1 — Intro to AI Engineering9 lessons
2Week 2 — Python + LLM Access Setup10 lessons
3Week 3 — LangChain9 lessons
4Week 4 — Prompt Engineering11 lessons
5Week 5 — FastAPI Fundamentals9 lessons
6Week 6 — FastAPI + LangChain (Cierre de Fase 1)9 lessons
7Week 7 — Introduction to RAG9 lessons
8Week 8 — Vector Databases + FastAPI9 lessons
9Week 9 — Intermediate RAG10 lessons
10Week 10 — Agentes I: del loop manual a un agente con estado (LangGraph)12 lessons
11Week 11: Agentes II — de un agente a un sistema (multi-agente, MCP, memoria)9 lessons
12Week 12 — Evaluation & Observability10 lessons
13Week 13 — Proyecto Fase 2 (Build): Documentation Q&A System10 lessons
14Week 14 — Proyecto Fase 2 (Polish): Documentation Q&A System9 lessons
15Week 15 — Dockerization9 lessons
16Week 16 — LocalStack Deployment10 lessons
17Week 17 — Production Deployment9 lessons
18Week 18 — Monitoring & Cost Optimization11 lessons
19Week 19 — Security & Hardening10 lessons
20Week 20 — Real Workflow Integrations10 lessons
21Week 21 — System Design & Scaling9 lessons
22Week 22 — Capstone Project9 lessons
Reviews
What students say
Based on 1 verified review
These reviews are from enrolled students who completed at least 50% of the course. We moderate reviews only on content grounds (spam, offensive language, personal data), never for being critical or negative.
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Julia Catalina GastelluVerified student•Jun 23, 2026