AI Engineering for Developers

You already know how to code. Now build the systems companies are desperate to hire for — AI agents, RAG pipelines, and production-grade LLM infrastructure. No hand-holding on the basics: straight into the architecture.

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+6000 graduates
  • Skip the fundamentals — go straight into agent architecture, RAG, and multi-agent orchestration.
  • Ship production infrastructure: FastAPI backends, async processing, real-time streaming, auth.
  • Build with the same tools senior AI engineers use: MCP, tool calling, guardrails, vector DBs.
  • Graduate with a deployed, AI-native system — not a toy project.

Your tutors:

Marco Gonzalo

Marco Gonzalo

Main Instructor

Rigo

Rigo

AI Tutor

Coming from a non-developer background? Start with the AI Engineering career program instead. Graduate job-ready for one of tech's fastest-growing roles, with the skills and support to land positions paying $95K–$135K+.

Get the Full Program Overview

Fill in your details and our admissions team will send you everything you need: syllabus, program details, financing options and more. It takes less than 2 minutes.

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Prerequisite: working knowledge of a backend or frontend language
14-week part-time evening schedule
Built for engineers, not career-changers
AI-Powered Code Review & Feedback
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4.9 on Course Report Reviews
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Real Outcomes. Real Numbers.

6,000+ graduates. Strong outcomes across the board.

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84%

Average hiring rate

55%

Average salary increase at new position

3-6 months

Average time to get hired

The demand is there. The talent isn't.

Why AI Engineering Now

In the past two years, AI has created 1.3 million new roles globally — and only 3% of the workforce has the skills to fill them. LinkedIn ranks AI Engineer among the fastest-growing jobs of 2026. The demand is there. The talent isn't. That's your opportunity.

+340%

net new AI roles created since 2021

2021
2022
2023
2024
2025
Displaced
Created by AI
97%

of the workforce is not ready for AI roles today

3%qualified
Traditional workforce97%
AI-ready professionals3%
1.3M

new AI roles created globally in two years

2020202220242026
1.3M · 2027

AI Engineering for Devs – Program Modules

Build real AI-powered systems from day one. This curriculum is organized around two tracks — Core AI and Agents, and Infrastructure for AI — plus a capstone that integrates everything into a fully transformed, deployed company. New to coding? Start with the [AI Engineering career program](https://4geeks.com/en/career-programs/ai-engineering) instead.

Core AI and Agents

Personal Assistants with OpenClaw

  • Configure an open-source AI agent as a personal assistant
  • Assign tasks and integrate external applications with the agent

Projects:

Deploy and configure a self-hosted AI assistant — yours, under your control, without relying on external vendors.

Core AI and Agents

Advanced Personal Assistants with OpenClaw

  • Identify scenarios where an agent solves real business problems
  • Develop custom skills for OpenClaw
  • Implement contextual memory (episodic, semantic, procedural)
  • Advanced configuration and extension of the agent

Projects:

Take your basic assistant agent to a productive tool with real autonomy in business contexts.

Core AI and Agents

Working with AI Coding Agents

  • Build memory banks and context rules from an existing codebase
  • Write executable specifications for agents (agent specs)
  • Synthesize reusable skills so agents act with precision

Projects:

Build memory banks and context rules that turn a coding agent into a collaborator that understands your codebase.

Core AI and Agents

LLMs, Training & RAG

  • Prepare data and select models for training
  • Implement RAG techniques on proprietary knowledge bases
  • Work with vector databases
  • Evaluate, debug, and integrate models in production

Projects:

Implement RAG so your agent answers with proprietary, up-to-date knowledge.

Core AI and Agents

Agentic Engineering

  • Build agents with tool calling (real function calls)
  • Implement guardrails as a security and control mechanism
  • Provide tools to the agent via CLIs optimized for AI
  • Extend agent capabilities with the Model Context Protocol (MCP)

Projects:

Build agents that call tools, access external systems via MCPs and CLIs, and operate with persistent memory.

Core AI and Agents

Agentic Workflows

  • Design multi-agent systems with routing and arbitration
  • Implement shared memory across agents
  • Deploy agentic workflows with serverless and durable functions

Projects:

Design systems where multiple agents collaborate, distribute tasks, and run autonomously at scale.

Infrastructure for AI

Workflow Automations

  • Model business logic with workflow diagrams
  • Implement basic and advanced flows in n8n
  • Integrate LLMs and external apps in automations
  • Deploy maintainable workflows with error handling

Projects:

Build AI-powered business automations in n8n that run autonomously without manual intervention.

Infrastructure for AI

Data Pipelines

  • Manipulate and prepare datasets with Python
  • Build data pipelines from the application to analysis systems

Projects:

Build pipelines that take raw data, transform it, and leave it ready to feed models, reports, or agents.

Infrastructure for AI

Telemetry

  • Optimize storage for reporting and data integrity
  • Identify data collection opportunities in real scenarios
  • Collect telemetry and user context from the application
  • Build reports from telemetry data

Projects:

Instrument applications to collect behavioral data and make decisions based on real evidence.

Infrastructure for AI

Asynchronous Processing and Offloading

  • Implement background processing for costly tasks
  • Manage process queues with workers
  • Use queues to delegate work between agents and services

Projects:

Implement background processing and queue systems that let agents delegate heavy work without blocking users.

Infrastructure for AI

Real-Time

  • Build support chats with LLMs in real time
  • Implement response streaming with generators (yield)
  • Integrate webhooks and pub/sub in AI applications

Projects:

Implement real-time communication between users and language models using streaming, WebSockets, and event-driven architectures.

Infrastructure for AI

Cybersecurity in AI Applications

  • Identify and fix OWASP Top 10 vulnerabilities in web applications
  • Implement security practices specific to AI integrations
  • Use LLMs as a cybersecurity auditing tool

Projects:

Identify critical vulnerabilities in AI applications and implement safe practices in model integration.

Capstone

AI-Transformed Company

  • AI-generated frontend
  • API with full authentication
  • Telemetry and reporting pipeline
  • Agent-generated automated workflows
  • RAG knowledge layer
  • Agents with tool calling
  • Real-time communication

Projects:

Integrate everything you have learned into a working, deployed system — a full transformation of a company through AI.

Top rated across all major platforms.

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4.9 on Course Report
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4.8 on Google
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4.9 on Career Karma
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4.9 on SwitchUp

The Most Personalized Path to an AI Career

Progress faster than ever before, with a support system built around your pace, your goals, your career.

AI-powered feedback 24/7

Unlimited 1:1 mentorship, for life

Career support built for the AI job market

Video preview
  • Instant feedback from Rigobot, our custom AI tutor
  • Advice adjusted to your skill level and progress
  • Instant help at any hour, day or night
  • Hundreds of interactive coding exercises and tests
$90K–$130K
AI Engineer
$105K–$155K
Forward-Deployed Engineer
$90K–$130K
AI-Fluent Full Stack Developer

The Roles You Can Land. And the Salaries That Follow.

High demand. High salaries.

AI Engineering roles are among the fastest-growing and highest-paying in tech right now. Companies are hiring urgently and paying a premium for engineers who can build with AI. LinkedIn reports 42x growth in Forward-Deployed Engineering alone since 2023. These are some of the roles our graduates are landing.

US & Canada · Latin America

Tuition & Financing Options

Investing in a new career matters. We make it easier with multiple ways to fund your enrollment.

Full Payment Discount:

Save 10% with upfront payment.

Credit-Based Financing: starting at

$399/mo
Get more info

Choose the option that fits you best.

Standard tuition is $14,999. Pay upfront and receive a 10% discount, or spread payments interest-free over 6 months.
Enroll with a Job Guarantee* for added confidence. Get hired within 9 months of graduation or your money back. 
*Not available in all regions. Terms and conditions apply.
Finance your tuition in monthly installments, with term lengths of up to 48 months depending on your region.

Europe

Tuition and Financing Options

Investing in a new career matters. We make it easier with multiple ways to finance your enrollment.

Full payment discount:

Save 10% with early payment.

Estimated installment of €140/month financing €5,750 over 48 months (7.75% APR), after a €500 deposit and subject to lender approval.*

140€/mo
Get more information

Choose the option that fits you best.

Pay upfront to get a better price with an additional discount, or split your payments into 6 interest-free installments through our partners.
2–3 merit-based scholarships available per cohort for highly qualified applicants.
We work with trusted partners to offer flexible and affordable financing, so you can focus on your future, not your fees.

US & Canada · Latin America

Get Hired. Or Your Money Back.

Enroll with our optional Job Guarantee. Get hired within 9 months, or we refund your full tuition. That's how confident we are in what we built.

*Not available in all regions. Terms and conditions apply.
01

Add the Job Guarantee to your payment plan.

02

Complete the program and follow the GeekForce career process.

03

Get hired within 9 months, or receive a full tuition refund.

Where Our Graduates Work

From startups to global tech leaders, our graduates work at some of the most recognized companies worldwide.

Microsoft
Google Developers
Boats Group

Transforming ideas into digital experiences.

Meta
eBay
National Geographic

Building the future of work together.

Evernote
Telefonica
Twilio

Scaling solutions for modern businesses.

Uber
Neo9
Jooble

Transforming ideas into digital experiences.

FAQ

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