For experienced developers & software engineers moving into AI engineering

Forward Deployed AI Engineering

Q: How does the refund through class 2 work?

If we don't meet your expectations in the first 2 classes of your first course, we'll refund your full payment. Only applies to your first course at Coderhouse.

Q: Is the AI teaching the course?

No. Instructors still teach and still grade. Atlas does the first pass on your work. Nexa is a career agent from week one. Neither replaces the instructor.

Q: How much time does it take per week?

One live class per week, plus practice, projects, and review between sessions. Plan for roughly 6-8 hours per week.

Q: Do I need experience to join?

Yes, this is an advanced, builder-focused course. You should be comfortable programming in Python and understand core backend/software engineering concepts. You do not need to be an ML researcher, and prior production LLM experience is not required.

Q: What if I can't make a live class?

Every live class is recorded, so missing a session doesn't mean missing the material. You can catch up with the recording, and Atlas can turn it into a focused recap to help you get back on track quickly.

Q: When do cohorts start, and when does enrollment close?

The next cohorts start on January 13, 2027 and February 10, 2027. Classes are live online on Wednesdays from 9:00 to 11:00 PM Eastern Time, for 8 weeks. Enrollment stays open while seats remain.

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

Because generating code is increasingly the easy part. ChatGPT, Claude, and Codex can produce a RAG app or agent quickly, but you still need to know whether retrieval is weak, the eval is misleading, the agent has too much autonomy, or latency and cost will become a problem. AI coding tools accelerate the build; you learn to evaluate, debug, redesign, and improve the system they help create.

8 weeks

1 live class / week

Don’t just prompt AI. Build with it, and deploy it where it matters. Build production-style AI applications—from retrieval and RAG to tool-using agents—and take them into real organizations: understand the client’s problem, integrate with their systems and hand off a system they can run.

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Try 2 free classes

Download Syllabus

What will you learn in the Forward Deployed AI Engineering course?

You’ll build the systems behind modern AI applications and deploy them inside real organizations the way a Forward Deployed Engineer does. Starting from client discovery, LLM APIs and structured outputs, you’ll work through embeddings, chunking, vector search, RAG, evaluation, tool use, agentic workflows, enterprise integration, governance, observability, deployment and handoff.

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 and client-facing AI roles.

Developers who have built AI prototypes and want to take them to production inside real organizations: retrieval, evaluation, agents, enterprise integration and governance.

Engineers aiming for Forward Deployed or Applied AI roles who want to go from client discovery to a system the client can run, with a portfolio project they can defend technically.

Core Stack

Python

LLM APIs & Structured Outputs

Embeddings / Vector Databases

Retrieval & RAG

Evaluation / Observability

Tool Calling & Agentic Workflows

Enterprise Integration

Serving / Deployment

Frameworks

OpenAI/Anthropic SDKs

LangChain/LangGraph

LangSmith

ChromaDB/Pinecone

FastAPI

Redis

OAuth2

Docker / Docker Compose

AI Coding Agents

When you finish

Run discovery and build an end-to-end LLM application: from user stories and KPIs to retrieval, generation, tools/agents, evaluation and serving.

Integrate and secure AI systems in enterprise environments: legacy systems, webhooks, delegated identity (OAuth2) and data governance.

Diagnose and evaluate failures across model, retrieval, orchestration, state and infrastructure, using test sets, traces, quality checks and latency/cost measurements.

Hand off a production-style capstone with runbooks and a story you can defend with technical and non-technical stakeholders.

Eight weeks, live

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

Week 1

Client Discovery & LLM Application Foundations

−

The Forward Deployed role and client discovery, user stories, acceptance criteria and KPIs, LLM APIs, async I/O, structured outputs, 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

Agents, Tools & Enterprise Integration

Week 7

Reliability, Governance & Deployment

Week 8

Capstone: Build, Evaluate & Hand Off

Eight weeks, live

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

Week 1

Client Discovery & LLM Application Foundations

−

The Forward Deployed role and client discovery, user stories, acceptance criteria and KPIs, LLM APIs, async I/O, structured outputs, 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

Agents, Tools & Enterprise Integration

Week 7

Reliability, Governance & Deployment

Week 8

Capstone: Build, Evaluate & Hand Off

Eight weeks, live

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

Week 1

Client Discovery & 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

Agents, Tools & Enterprise Integration

Week 7

Reliability, Governance & Deployment

Week 8

Capstone: Build, Evaluate & Hand Off

Upcoming dates

January 13, 2027

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

Taught by

Udit Mehrotra

Data Science

Google

Buy course

February 10, 2027

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

Taught by

Udit Mehrotra

Data Science

Google

Buy course

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

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.

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Yanina Uehara

Artificial Intelligence

My goal is not only to incorporate new knowledge, but to combine it with my experience in managing, accounting and managing SMEs to offer a service of greater value. This is a new professional challenge that I face with great desire to learn, apply and generate real solutions for companies.

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Luis Alberto R.

Artificial Intelligence

The most valuable thing that I take: to bring an LLM to production is 20% model and 80% engineering. The real challenge is not that "it responds nice", but that it is reliable, safe, measurable and deployable.

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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.

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Marianella Martinini

Artificial Intelligence

This course gave me the key tools to take that optimization to the next level: digital. I learned to design intelligent workflows that transform repetitive tasks into efficient flows, achieving a direct impact on error reduction, time saving and, fundamentally, resource release to focus on what really adds value.

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Jesica Soledad Borneo

Artificial Intelligence

An experience that allows me to continue incorporating tools to create more strategic audiovisual content with greater impact for brands. [...] But it was a nice experience.

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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.

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Tomas Macías

Artificial Intelligence

An experience that allowed me to continue incorporating tools to optimize repetitive tasks and apply automation to real processes.

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Fernando Abused

Artificial Intelligence

Today I close a stage of enormous learning at Coderhouse, where I completed the Specializations of Content Creation with AI and the CoderCamp Temp. 6.

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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.

View LinkedIn Post

Natalia Daniela

Artificial Intelligence

View Google Review

Marianella Martinini

Artificial Intelligence

View LinkedIn Post

Luis Alberto R.

Artificial Intelligence

View LinkedIn Post

Nahuel Kasjan

Artificial Intelligence

View LinkedIn Post

Yanina Uehara

Artificial Intelligence

View LinkedIn Post

Tomas Macías

Artificial Intelligence

An experience that allowed me to continue incorporating tools to optimize repetitive tasks and apply automation to real processes.

View LinkedIn Post

Jesica Soledad Borneo

Artificial Intelligence

An experience that allows me to continue incorporating tools to create more strategic audiovisual content with greater impact for brands. [...] But it was a nice experience.

View LinkedIn Post

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.

View LinkedIn Post

Natalia Daniela

Artificial Intelligence

View Google Review

Marianella Martinini

Artificial Intelligence

View LinkedIn Post

Nahuel Kasjan

Artificial Intelligence

View LinkedIn Post

Yanina Uehara

Artificial Intelligence

View LinkedIn Post

Tomas Macías

Artificial Intelligence

An experience that allowed me to continue incorporating tools to optimize repetitive tasks and apply automation to real processes.

View LinkedIn Post

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.

View LinkedIn Post

Nahuel Kasjan

Artificial Intelligence

View LinkedIn Post

Natalia Daniela

Artificial Intelligence

View Google Review

Yanina Uehara

Artificial Intelligence

View LinkedIn Post

FAQ

How does the refund through class 2 work?

Is the AI teaching the course?

How much time does it take per week?

Do I need experience to join?

What if I can’t make a live class?

When do cohorts start, and when does enrollment close?

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

Join the community

$595 launch price. Two free classes first.

See dates