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Break Your Career Ceiling.

Make Your Developer Skills Worth $95K–$135K.

No way around it: AI Engineering is what development looks like now. In our intensive program you learn to build complete AI-native systems end-to-end, exactly the skills companies are actively hiring for.
  • Add to your stack: RAG systems, vector databases, multi-agent systems, real-time AI, workflow automation with n8n and more
  • Unlimited 1:1 mentorship and career support, available for life
  • Optional Job Guarantee: get hired within 9 months of graduating or we refund your full tuition
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Get the AI Engineering Program Overview

Fill in your details and our admissions team will send you the program description, requirements, financing options and more. It only takes 2 minutes.

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Ready to take your developer skills into AI Engineering?

Our Graduates Get Hired. Fast.

6,000+ graduates worldwide. Now thiriving in tech.

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84%

Average hiring rate

55%

Average salary increase at new position

3-6 months

Average time to get hired

Rated #1 Across Every Major Review Platform

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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
42x
Growth in Forward-Deployed Engineering since 2023
70%
Year-over-year growth in US jobs requiring AI skills
3%
Of the workforce currently qualified to fill these roles

Why Developers Are Moving Into AI Engineering

Coding skills are your foundation. AI Engineering is how you turn them into a $95K–$135K career.

AI Engineer is the #1 fastest-growing job according to LinkedIn. Knowing how to code is no longer enough — companies are not hiring developers, they are looking for AI Engineers who build intelligent systems, RAG pipelines, and autonomous agents. Level up with our program and become the AI Engineer the job market is actively hiring for.

Python
VS Code
Jupyter
GitHub
OpenAI
AI Engineering
LangChain
Hugging Face
React
Node.js
Rigobot

AI Native Full Stack — 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. Supported by complementary foundations in modern development tools and practices throughout.

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

Backend Development with Coding Agents

  • Design backend architectures for AI-powered solutions
  • Create agent loops integrating LLMs with APIs
  • Implement lightweight storage and CSV data processing
  • Build and expose REST APIs for frontends and agents

Projects:

Build robust APIs with FastAPI, implement agent loops in Python, and design backend architectures for AI use cases.

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

Web Application Authentication

  • Implement authentication and route restrictions in FastAPI
  • Build complete authentication flows (login, tokens, sessions)

Projects:

Implement secure authentication in FastAPI and build complete login flows that define what each user — and agent — can do.

Infrastructure for AI

Error Handling, Debugging and Testing

  • Understand and manage runtime errors with flow control
  • Develop test suites for robust applications

Projects:

Verify AI-generated code with controlled error handling and test suites that validate expected behavior.

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.

Real Stories of Real Career Change

Thousands of graduates have used our programs to break into tech. Here are just a few of their stories, from salary increases to total career reinventions.
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Hernán García

"I got offers from companies I wasn't expecting"

Hernán landed a job in tech within one month of starting his job search.

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Joao Henrique

"You'll always have support from the Academy"

Joao shares his experience receiving coding mentorship as a student, after graduating, and in his current job.

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Jonathan Ferragut

"Taking a course like this benefits us in a lot of different ways"

Jonathan shares how the program helped him build confidence and create projects from scratch.

Learn Faster. Build Better. With Tailored Support That Never Ends.

Learning works best when support adapts to your needs and your progress. At 4Geeks, unlimited 1:1 mentorship and AI-powered feedback from Rigobot combine to keep you unblocked and moving faster than you thought possible.

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Unlimited 1:1 mentorship:

  • Personalized guidance from senior engineers
  • Live troubleshooting and bug fixing
  • Industry insights from people working in tech
  • Unlimited number of sessions. Available lifelong

Rigobot, your AI tutor:

  • Instant feedback on your code, 24/7
  • Adapts to your level and learning pace
  • Keeps you unblocked at any hour
  • Hundreds of hands-on coding exercises and tests

How We Get You Hired. From First Day to Signed Offer.

A complete system that takes you from enrolled to employed. AI-optimized profiles, direct access to 400+ hiring partners, and 1:1 support that's with you beyond landing your first role.

Job-Ready, Faster

Build a Recruiter-Ready Profile, Smarter.

Prepare for real hiring processes using a combination of AI tools and 1-on-1 coaching. RigoBot reviews your resume and LinkedIn in real-time. Career mentors help you refine your story, portfolio, and interview performance for optimal impact.

We'll help you create tailored job search materials

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24/7 feedback from RigoBot to audit your LinkedIn and resume
1-on-1 career coaching and strategy sessions
Mock interviews and technical interview prep
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They Made the Switch. Here's What Happened.

A Microsoft support specialist, a maintenance technician, a musician, and people with no prior experience. All now working in tech, all earning more.

Add AI Engineering Skills. Launch a Career That Pays.

4Geeks graduates see an average 55% salary increase. Flexible financing means nothing stands between you and an AI Engineering career..

Full Payment Discount:

Save 10% with upfront payment.

Credit-Based Financing: starting below

$349/mo

Choose the option that suits you best.

Full tuition is $14,999. Pay upfront and save 10%, or split into 6 interest-free monthly payments.
Finance over 24 to 60 months through our lending partners starting at $349/mo.
Partial scholarships available for highly qualified a

Where Our Graduates Work

5,000+ alumni are already on the job, at companies that specifically hire for Python and AI Engineering skills.

The fastest-growing job of 2026 is one step away.

Leverage your development skills with AI Engineering and land one of the highest-paying roles in tech. Apply and our admissions team will be in touch shortly.

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