AI Engineering Bootcamp [August 2026]
In 21 weeks you'll learn to build LLM-powered applications, integrate them into backends with FastAPI, and ship them to the cloud with Docker, applying solid deployment, monitoring, and security practices.
Next cohort
August 08, 2026 - January 09, 2027
Investment
Installment payments
We accept payments over 3 or 6 months. Contact us on WhatsApp for more information.
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Is this bootcamp for you?
The bootcamp is designed for technical profiles who want to specialize in AI Engineering applied to real products.
Tech Enthusiasts
Technical professionals who want to specialize in AI Engineering and build real applications with LLMs.
Software Developers
Developers who want to add AI Engineering to their stack and build products with applied AI.
Frontend Developers
Frontend developers who want to expand their profile toward fullstack with AI, connecting frontends to LLM-powered APIs.
Backend Developers
Backend developers who want to integrate LLMs, RAG, and agents into their production systems.
Everything you get
Our bootcamp means we build commitment and accountability together to reach your professional goals.
Structured, hands-on learning
Training designed for you to advance step by step in AI Engineering with an applied approach and real projects.
- 21 weeks of structured, hands-on training.
- Access to live and recorded classes.
- Weekly exercises geared toward the final project.
- 26 complementary guides covering the entire AI Engineering stack.
Community and support
You'll never learn alone. You'll have a close support space and feedback to improve your work.
- Support community via private WhatsApp channel.
- Formal feedback on your final project.
- Access to the materials for 1 additional year after the bootcamp.
What you'll learn
In 21 weeks you'll learn to build production-ready LLM applications, from AI Engineering fundamentals to real cloud deployment, with RAG, tool use, monitoring, and security.
Phase 1: AI Engineering Fundamentals
Weeks 1-6You'll understand what AI Engineering is, how it differs from other technical roles, how LLMs work, and the modern AI stack you'll use during the bootcamp.
- Week 1: Intro to AI Engineering
- Week 2: Python applied to AI
- Week 3: LangChain
- Week 4: Prompt Engineering
- Week 5: FastAPI Fundamentals
- Week 6: FastAPI + LangChain — Phase 1 Project
Phase 2: RAG & Evaluation
Weeks 7-13You'll understand the static-knowledge problem in LLMs, what RAG is, how embeddings work, and basic chunking. You'll build your first end-to-end RAG flow.
- Week 7: Introduction to RAG
- Week 8: Vector Databases (ChromaDB)
- Week 9: Intermediate RAG
- Week 10: Tool Use & Function Calling
- Week 11: Evaluation & Testing
- Week 12: Phase 2 Project — Documentation Q&A (Build)
- Week 13: Phase 2 Project — Documentation Q&A (Polish)
Phase 3: Production
Weeks 14-21You'll containerize your Phase 2 application with Docker: Dockerfiles for AI apps, images and containers, Docker Compose for multi-container, and environment configuration.
- Week 14: Dockerization of AI Applications
- Week 15: Cloud-Style Deployment (LocalStack)
- Week 16: Monitoring & Observability
- Week 17: Cost Optimization & Caching
- Week 18: Security & Hardening
- Week 19: Integrations (Slack, Discord, Notion)
- Week 20: System Design & Scaling
- Week 21: Capstone Project
Phase 1: AI Engineering Fundamentals
Weeks 1-6You'll understand what AI Engineering is, how it differs from other technical roles, how LLMs work, and the modern AI stack you'll use during the bootcamp.
- Week 1: Intro to AI Engineering
- Week 2: Python applied to AI
- Week 3: LangChain
- Week 4: Prompt Engineering
- Week 5: FastAPI Fundamentals
- Week 6: FastAPI + LangChain — Phase 1 Project
Phase 2: RAG & Evaluation
Weeks 7-13You'll understand the static-knowledge problem in LLMs, what RAG is, how embeddings work, and basic chunking. You'll build your first end-to-end RAG flow.
- Week 7: Introduction to RAG
- Week 8: Vector Databases (ChromaDB)
- Week 9: Intermediate RAG
- Week 10: Tool Use & Function Calling
- Week 11: Evaluation & Testing
- Week 12: Phase 2 Project — Documentation Q&A (Build)
- Week 13: Phase 2 Project — Documentation Q&A (Polish)
Phase 3: Production
Weeks 14-21You'll containerize your Phase 2 application with Docker: Dockerfiles for AI apps, images and containers, Docker Compose for multi-container, and environment configuration.
- Week 14: Dockerization of AI Applications
- Week 15: Cloud-Style Deployment (LocalStack)
- Week 16: Monitoring & Observability
- Week 17: Cost Optimization & Caching
- Week 18: Security & Hardening
- Week 19: Integrations (Slack, Discord, Notion)
- Week 20: System Design & Scaling
- Week 21: Capstone Project
Technologies you'll learn
We'll use the modern AI Engineering stack during the bootcamp.
Main programming language
FastAPI
Backend framework to expose AI endpoints quickly and in a structured way.
LangChain
Framework to orchestrate LLMs, prompts, chains, and RAG systems.
ChromaDB
Vector database for storage and semantic search.
Docker
Containerization of AI applications for consistent deployment.
LocalStack
Local simulation of AWS services for development and testing.
Choose how to enroll
Limited spots. Reserve your place with one click.
Regular price
We accept payments over 3 or 6 months. Contact us on WhatsApp for more information.
Meet your instructor
Learn from professionals with real industry experience.
Mike Nieva
I've worked with multiple companies and startups in professional web development and agentic architecture implementations. Technology instructor with 10 years of experience.
15-day guarantee
If you're not satisfied with the bootcamp within the first 15 days from the start, we'll refund 100% of your money. No questions, no hassle.
Our commitment: Our commitment: We want you to have the confidence that this investment will transform your career. If for any reason it doesn't meet your expectations, just contact us and we'll process your full refund.
Bootcamp paths and courses
Full access to the learning paths and all their courses.
AI Engineering Bootcamp (BAE) - Aug 2026
Learning paths
Courses included
Everything you need to know
We answer the most common questions about the bootcamp.
What are the minimum requirements?
You need a programming foundation in Python or JavaScript and basic knowledge of how APIs work. No prior AI experience or advanced math background is required.
Are the live sessions recorded?
Yes. All live sessions are recorded and edited, and you can watch them from your dashboard on NIEVA.
Is the bootcamp 100% online?
Yes. It's fully remote and you can join from anywhere. You only need a browser and an internet connection.
What language is the content in?
All content is in Latin American Spanish. The tools and resources are explained in Spanish, although some external documentation is in English.
Is it enough to get a job in AI?
We don't promise employment, and that's intentional. What we do promise is that you'll finish with real deployed projects, direct feedback, and a portfolio you can show. We've seen students use it to change careers, get promotions, and build their own products.
What if I can't attend a live session?
No problem. You'll be able to watch the recording, download the materials, and keep pace with the group. You'll also have access to the support channel to resolve questions.
Can I access the materials after finishing the bootcamp?
Yes. You'll have access to the guides, recordings, and resources for 1 additional year after finishing the bootcamp, as long as all invoices are paid if you chose the payment plan.
Will I get feedback on my deliverables?
Yes. You'll receive general feedback on your progress and your final project through the bootcamp's messaging channel.
AI Engineering Bootcamp [August 2026]
Join the next generation of AI Engineers in 2026