For experienced developers & software engineers moving into AI engineering

AI Engineering

8 weeks

1 live class / week

Don’t just prompt AI. Build with it. Learn to build production-style AI applications—from retrieval and RAG to tool-using agents—then evaluate, debug, and improve them with the judgment of an AI engineer.

What will you learn in the AI Engineering course?

You’ll build the systems behind modern AI applications—not just learn the vocabulary. Starting from LLM APIs and structured outputs, you’ll work through embeddings, chunking, vector search, RAG, evaluation, tool use, agentic workflows, memory/state, observability, and deployment.

Hands-on experimentation is central: build components, intentionally stress or break them, inspect failure modes, and improve the system. You’ll also use AI coding tools as force multipliers—because AI can increasingly generate the code; an AI engineer needs to know whether the resulting system is actually good.

Who it’s for

Software engineers and backend developers comfortable with Python who want to move into LLM-powered systems.

Developers who have built AI prototypes and want to understand retrieval, evaluation, agents, reliability, observability, and engineering tradeoffs.

Experienced builders who want a portfolio project they can defend technically—what they built, why, how it failed, and how they improved it.

Advanced, builder-focused course: comfort with Python and core backend/software engineering concepts is expected.

Core Stack

Python

LLM APIs & Structured Outputs

Embeddings / Vector Databases

Retrieval & RAG

Evaluation / Observability

Tool Calling & Agentic Workflows

Serving / Deployment

Frameworks

OpenAI/Anthropic SDKs

LangChain/LangGraph

LangSmith

ChromaDB/Pinecone

FastAPI

Redis

AI Coding Agents

When you finish

Build and explain an end-to-end LLM application spanning retrieval, generation, tools/agents, evaluation, and serving.

Diagnose failures across model, retrieval, orchestration, state, and infrastructure—and improve the component actually limiting quality.

Evaluate retrieval and agent behavior using test sets, traces, quality checks, latency/cost measurements, and failure testing.

Leave with a production-style capstone and a portfolio/interview story you can defend technically.

Eight weeks, live

1 weekly live online class of 2 h. 6 to 8 hours per week.

Week 1

LLM Application Foundations

−

APIs, async I/O, structured outputs, schemas, provider abstraction, retries/timeouts/fallbacks.

Week 2

Orchestration, Tool Use & Context

+

Week 3

Embeddings, Chunking & Vector Retrieval

+

Week 4

RAG, Hybrid Search & Reranking

+

Week 5

Evaluation & Observability

+

Week 6

Agentic Workflows, Tools, Memory & State

+

Week 7

Reliability, Performance & Deployment

+

Week 8

Capstone: Build, Break, Evaluate, Improve

+

Eight weeks, live

1 weekly live online class of 2 h. 6 to 8 hours per week.

Week 1

LLM Application Foundations

−

APIs, async I/O, structured outputs, schemas, provider abstraction, retries/timeouts/fallbacks.

Week 2

Orchestration, Tool Use & Context

+

Week 3

Embeddings, Chunking & Vector Retrieval

+

Week 4

RAG, Hybrid Search & Reranking

+

Week 5

Evaluation & Observability

+

Week 6

Agentic Workflows, Tools, Memory & State

+

Week 7

Reliability, Performance & Deployment

+

Week 8

Capstone: Build, Break, Evaluate, Improve

+

Eight weeks, live

1 weekly live online class of 2 h. 6 to 8 hours per week.

Week 1

LLM Application Foundations

−

Week 2

Orchestration, Tool Use & Context

+

Week 3

Embeddings, Chunking & Vector Retrieval

+

Week 4

RAG, Hybrid Search & Reranking

+

Week 5

Evaluation & Observability

+

Week 6

Agentic Workflows, Tools, Memory & State

+

Week 7

Reliability, Performance & Deployment

+

Week 8

Capstone: Build, Break, Evaluate, Improve

+

Next Cohorts

November 4

Tuesday — 9:00 p. m. to 11:00 p. m. (Eastern Time)

11 seats left

11 seats left

🔥

January 13, 2027

Wednesday — 9:00 p. m. to 11:00 p. m. (Eastern Time)

Join 500k+ alumni in a live online learning community. 

Join 500k+ alumni in a live online learning community. 

Yorgelis Zambrano Peña

UX/UI Design

During this process, I strengthened my research knowledge, learning methodologies and tools to collect, analyze and interpret information that makes it possible to make data-based decisions and better understand the needs of users. I thank Coderhouse and the teachers for accompanying me in this learning.

Alexia Vidal

Digital Marketing

This learning enabled me to understand that behind each publication there is a strategy, a goal and an opportunity to connect with people.

Cristian Francano

Business

During this training I strengthened knowledge about leadership, communication, motivation, conflict resolution and team management, tools that I can apply both in my role as supervisor and in my professional development. I thank Coderhouse and teachers for the experience.

Alejandro Damian Gao Moreno

Artificial Intelligence

I want to thank the entire Coderhouse team for promoting an educational proposal so connected to what the market demands.

Maria Adela Russo Salamanca

Data

I am very happy to continue adding knowledge and strengthening skills that complement my eCommerce experience. This is one more step in my way to specialize in Data Analytics.

Nahuel Kasjan

Artificial Intelligence

It was a very valuable experience to continue incorporating new tools and understand how to apply automation and artificial intelligence in specific situations, simplifying tasks and improving processes.

manuel blardone

General

Excellent experience with the course. The teachers explained very well and the course format is flexible enough to fit around a work schedule.

kevin gimenez

Data

excellent teachers in every course; I completed the data career path, and I will be taking other career paths as well

Natalia Daniela

Artificial Intelligence

It was a good experience, the teachers always punctual, explained very well, always attentive to the consultations, answered everything, it was noticed that they knew what they were dictating, no class was canceled, even when you had a problem with your machine to install something helped you to solve it. The course is complete, you have the comfort to do it from your home, if you can not attend some class the classes are recorded so that you can see them later. Excellent everything.

Yorgelis Zambrano Peña

UX/UI Design

During this process, I strengthened my research knowledge, learning methodologies and tools to collect, analyze and interpret information that makes it possible to make data-based decisions and better understand the needs of users. I thank Coderhouse and the teachers for accompanying me in this learning.

manuel blardone

General

Excellent experience with the course. The teachers explained very well and the course format is flexible enough to fit around a work schedule.

Maria Adela Russo Salamanca

Data

I am very happy to continue adding knowledge and strengthening skills that complement my eCommerce experience. This is one more step in my way to specialize in Data Analytics.

Cristian Francano

Business

During this training I strengthened knowledge about leadership, communication, motivation, conflict resolution and team management, tools that I can apply both in my role as supervisor and in my professional development. I thank Coderhouse and teachers for the experience.

Alejandro Damian Gao Moreno

Artificial Intelligence

I want to thank the entire Coderhouse team for promoting an educational proposal so connected to what the market demands.

Alexia Vidal

Digital Marketing

This learning enabled me to understand that behind each publication there is a strategy, a goal and an opportunity to connect with people.

kevin gimenez

Data

excellent teachers in every course; I completed the data career path, and I will be taking other career paths as well

Nahuel Kasjan

Artificial Intelligence

It was a very valuable experience to continue incorporating new tools and understand how to apply automation and artificial intelligence in specific situations, simplifying tasks and improving processes.

Yorgelis Zambrano Peña

UX/UI Design

During this process, I strengthened my research knowledge, learning methodologies and tools to collect, analyze and interpret information that makes it possible to make data-based decisions and better understand the needs of users. I thank Coderhouse and the teachers for accompanying me in this learning.

manuel blardone

General

Excellent experience with the course. The teachers explained very well and the course format is flexible enough to fit around a work schedule.

Maria Adela Russo Salamanca

Data

I am very happy to continue adding knowledge and strengthening skills that complement my eCommerce experience. This is one more step in my way to specialize in Data Analytics.

Alejandro Damian Gao Moreno

Artificial Intelligence

I want to thank the entire Coderhouse team for promoting an educational proposal so connected to what the market demands.

Alexia Vidal

Digital Marketing

This learning enabled me to understand that behind each publication there is a strategy, a goal and an opportunity to connect with people.

kevin gimenez

Data

excellent teachers in every course; I completed the data career path, and I will be taking other career paths as well

Yorgelis Zambrano Peña

UX/UI Design

During this process, I strengthened my research knowledge, learning methodologies and tools to collect, analyze and interpret information that makes it possible to make data-based decisions and better understand the needs of users. I thank Coderhouse and the teachers for accompanying me in this learning.

Alejandro Damian Gao Moreno

Artificial Intelligence

I want to thank the entire Coderhouse team for promoting an educational proposal so connected to what the market demands.

manuel blardone

General

Excellent experience with the course. The teachers explained very well and the course format is flexible enough to fit around a work schedule.

Alexia Vidal

Digital Marketing

This learning enabled me to understand that behind each publication there is a strategy, a goal and an opportunity to connect with people.

FAQ

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Why learn AI Engineering when ChatGPT / Claude / Codex can write the app?

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$595 launch price. Two free classes first.

© 2026 Coderhouse. All rights reserved.

© 2026 Coderhouse. All rights reserved.

© 2026 Coderhouse. All rights reserved.