Bootcamp AI Engineering [January 2026]
In 21 weeks, you will learn to build applications with LLMs, integrate them into backends with FastAPI, and deploy them to the cloud with Docker, applying best practices for deployment, monitoring, and security.
This bootcamp is designed for developers who want to make the leap into AI Engineering applied to real products, mastering Prompt Engineering, RAG, and model evaluation in a practical and production-oriented environment.
Next Cohort
January 31, 2026 - June 27, 2026
Investment
Full program access with all features
Monthly payment plans
We accept payments in 3 or 6 months. Contact us via WhatsApp for more information.
Who is this program for?
The bootcamp can be useful for different profiles.
Tech Professionals
Enthusiasts who want to learn how to design, deploy, and monitor AI applications in the cloud with best practices.
Software Developers
Professionals who want to make the leap into AI Engineering and learn how to integrate LLMs into real applications.
Frontend developers
Professionals looking to expand their profile towards backend development with AI and connected services.
Backend Developers
Professionals seeking to extend their skills by building APIs with FastAPI and applying RAG in AI projects.
What's included in the bootcamp?
Our bootcamp requires us to generate commitment and responsibility together to achieve your professional goals.
Structured and practical learning.
A training program designed for you to advance step by step in AI Engineering with a practical focus and real projects.
- 21 weeks of structured training, with a practical focus.
- Access to live and recorded classes.
- Weekly exercises focused on building the final product.
- Supplementary guides to deepen knowledge in Python, FastAPI, SQL, RAG, and LLM evaluation.
Community and support
You will never learn alone. You will have a close support space and feedback to improve your work.
- Support community via private channel and WhatsApp.
- Feedback on your final project, with formal submission.
What will you learn?
Throughout the bootcamp, we will learn different important concepts related to Python, AI, and Cloud.
Introduction to AI Engineering
1-6
In this first stage, you build the foundation you need to work with AI Engineering. You become familiar with Python applied to AI, take your first steps with LangChain, and master the techniques of Prompt Engineering. From there, you start developing your own services with FastAPI, exposing AI endpoints and learning to integrate them with prompt chains.
- Python
- FastAPI
- Langchain
RAG and evaluation
7-13
Here, you delve into building systems with RAG (Retrieval-Augmented Generation). You learn to work with vector databases, integrate your own documents, and perform more complex queries. You also incorporate evaluation practices, from basic metrics to benchmarking, with the goal of ensuring that your applications not only function but can also be systematically measured and improved.
- LangChain
- RAG
Production
14-21
The final stage focuses on taking your applications to a production environment. You learn to containerize them with Docker, deploy them on LocalStack. Additionally, you incorporate cost optimization, caching, and security strategies. You conclude by designing, scaling, and delivering a complete and functional project, ready to operate in the cloud.
- Local Stack
Introduction to AI Engineering
1-6
In this first stage, you build the foundation you need to work with AI Engineering. You become familiar with Python applied to AI, take your first steps with LangChain, and master the techniques of Prompt Engineering. From there, you start developing your own services with FastAPI, exposing AI endpoints and learning to integrate them with prompt chains.
- Python
- FastAPI
- Langchain
RAG and evaluation
7-13
Here, you delve into building systems with RAG (Retrieval-Augmented Generation). You learn to work with vector databases, integrate your own documents, and perform more complex queries. You also incorporate evaluation practices, from basic metrics to benchmarking, with the goal of ensuring that your applications not only function but can also be systematically measured and improved.
- LangChain
- RAG
Production
14-21
The final stage focuses on taking your applications to a production environment. You learn to containerize them with Docker, deploy them on LocalStack. Additionally, you incorporate cost optimization, caching, and security strategies. You conclude by designing, scaling, and delivering a complete and functional project, ready to operate in the cloud.
- Local Stack
Technologies
We will use different technologies during the bootcamp.
Python
Main Language
Main language for AI application development and its ecosystem.
FastAPI
Backend para exponer endpoints de AI apps.
Langchain
Manejo de prompts, chains, RAG, agentes básicos.
ChromaDB
Base vectorial local.
Docker
Contenerización de la app
LocalStack
Run AWS services locally
Investment in your future
Reserve your spot with special launch price
Regular Price
Monthly payment plans
We accept payments in 3 or 6 months. Contact us via WhatsApp for more information.
Access to the platform with initial learning materials
One-year access to the platform after completing the bootcamp
Enrollment closed
Who teaches you?
Learn from professionals with real experience in our industry
Mike Nieva
Fullstack JavaScript Developer & AI Engineer
Hi! I’ve worked with multiple companies and startups in professional web development and LLM implementation. I’m also a tech instructor with 10 years of experience.
Experience
8+ YOE in tech
3+ YOE in AI Engineering
3+ YOE in Cloud Development
15-day money-back guarantee
If you're not satisfied with the bootcamp within the first 15 days after starting, we'll refund 100% of your money. No questions, no complications.
Our commitment: Our commitment: We want you to be confident that this investment will transform your career. If for any reason it doesn't meet your expectations, simply contact us and we'll process your full refund.
Included Paths and Courses
All the structured learning content you'll receive with your enrollment
Bootcamp AI Engineering (BAE) - Jan 2026
Learning paths
Courses included
Frequently Asked Questions
Find answers to the most frequently asked questions about our AI Product Engineering bootcamp
What are the minimum requirements?
You need a foundation in programming (Python or JavaScript) and basic knowledge of how APIs work. It is not necessary to have experience in AI, but you should be comfortable working with code and development logic.
Do I need to know math or have a technical background?
No. This bootcamp is not focused on Data Science or in-depth Machine Learning Engineering. We focus on AI Engineering applied to products: consuming model APIs, building backends with FastAPI, integrating RAG, and deploying in the cloud.
Are live sessions recorded?
Yes. All live sessions are recorded and edited, and you can watch them at any time from your panel in NIEVA.
What if I can't attend a live session?
No problem. You can watch the recording, download the materials, and keep pace with the rest of the group. You will also have access to the Q&A channel.
Can I access the materials after finishing the bootcamp?
Yes. You will have access to the guides, recordings, and resources for an additional year.
Will I receive feedback on my submissions?
Yes. You will receive general feedback during the bootcamp through our selected messaging app.
Is the bootcamp 100% online?
Yes. The entire program is remote, and you can participate from anywhere. You only need a browser and an internet connection.
In what language is the content?
All content is in Latin American Spanish. The tools and resources are also explained in Spanish, although some external documentation may be in English (with reading guides if necessary).
Is this bootcamp enough to get a job?
Not entirely. This mini bootcamp provides a solid foundation in Python programming. If your goal is to become a professional developer or specialize in AI or backend, this is the first step. It will prepare you to continue with more advanced programs like the AI Web Engineering Bootcamp.
Bootcamp AI Engineering [January 2026]
Join the next generation of developers of the new internet