AI Engineering Program Cost

And the $95K–$135K
Salaries that Follow.

The investment is real. So is the return: at an average AI Engineering starting salary, most graduates earn back their full tuition within 3 months on the job.

Flexible financing from $399/mo — built around what works for you.
Entry roles paying $95K–$155K. AI Engineer is the fastest-growing job of 2026.
Optional Job Guarantee*: get hired within 9 months or full tuition refund.

Image: Course Report Best Coding Bootcamp 2026 Badge

Get All the Financing and Program Details You Need

Our admissions team will walk you through every financing option and help you find the one that fits you best.

Get All the Financing and Program Details You Need

Our admissions team will walk you through every financing option and help you find the one that fits you best.

Ready to start your AI Engineering career?

Our Graduates Get Hired. Fast.

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

84%

Average hiring rate

55%

Average salary increase at new position

3-6 months

Average time to get hired

42x

Growth in Forward-Deployed Engineering since 2023

70%

YoY growth in US jobs requiring AI skills

Of the workforce currently qualified to fill these roles

Why AI Engineering Now

The talent gap is real. It makes your investment more than worth it.

AI Engineers build the intelligent systems companies urgently need. Demand is exploding, but only 3% of the workforce has the skills to fill these roles. That supply gap is what drives salaries to $95K–$135K+ at entry level — and what makes the return on your investment as clear as it gets.".

Python

VS Code

Jupyter

GitHub

OpenAI

AI Engineering

LangChain

Hugging Face

React

Node.js

Rigobot

Python

VS Code

Jupyter

GitHub

OpenAI

AI Engineering

LangChain

Hugging Face

React

Node.js

Rigobot

Tuition and Financing Options

Flexible financing so nothing stands between you and a high-paying AI Engineering career. The average graduate sees a 55% salary increase. That return starts here.

Full Payment Discount:

Save 10% with upfront payment.

Credit-Based Financing: starting below

$399/mo

Get Financing Details

Multiple ways to get started.

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 $399/mo.

Partial scholarships available for highly qualified applicants.

Add the Job Guarantee* for $2,000: get hired within 9 months or get your full tuition back.

*Not available for all regions. Terms and Conditions Apply.

AI Engineering — 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.

What Your Investment Unlocks

A curriculum built for the AI job market, and a personalized support system included for life.

AI-powered feedback, available 24/7

Unlimited 1:1 mentorship, for life

Career support built for the AI job market

AI-powered feedback, available 24/7

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

Your Certificate. Your Career Leverage.

Hiring rate

0-0 months

Time to get hired

Average salary increase

Hiring partners

Graduate with the credentials, portfolio, and professional profile to get hired — not just qualified.

Certificate recognized by the Florida Department of Education

End-to-end AI-engineered company in your portfolio

Demonstrated experience with agents, workflows, and AI systems

Optimized professional profile and job-search strategy

Certificate

of Achievement

AI Engineering

This certificate is presented to

Pedro Fuentes Escaloso de los Lobos

They Made the Switch. Here is What Happened.

Different backgrounds, one outcome: a career in tech that pays.

Ibai Fernández

Before joining the academy, I already had some experience with programming. WordPress paved the way for me to handle code, and I had prior experience with other coding bootcamps. However, starting in 2023, thanks to a shared agreement and invested...

Charles Fabricius

Overall just a great group of people with a common goal. I came into 4Geeks with little to no knowledge about coding and after 16 weeks I was building projects I could have never imagined I would be able to build. They will provide you with the...

Fernando Funez

I highly recommend this coding boot camp!!!! Before 4Geeks I never had any experience with code - I didn't know where to start. Within 10 weeks I was able to grasp the core concepts of being a developer. The staff and Mentors are awesome... enroll...

Francisco Correa

My experience at 4Geeks has been incredible. Not only did they provide me with a quality education, but they also gave me the necessary tools to succeed in today's market. The academy's team was present at every stage of my learning, guiding and...

Diego Fernández

I started studying programming on my own, but I only got so far and always had in mind to join an academy. I came to 4Geeks Academy on the recommendation of a friend and it has surprised me a lot—the attention, the community, the mentoring, and...

Javier Murillo

At first I had many doubts and wondered if I could do it, and I did. Once I entered 4Geeks and the weeks and projects went by, I realized that my skills were increasing. At 4Geeks they teach you how to program, how to solve problems, you learn...

Mattia Tozzi

Seeking a new professional path, Mattia found the ideal option in 4Geeks Academy. Impressed by the unlimited tutoring and focus on practical skills, he enrolled with the goal of entering the technology industry. The challenges he faced not only...

Gabriela Rodriguez

A love for programming that started as a hobby soon blossomed into a career aspiration. With a booming job market and a growing dissatisfaction with my current job, I knew it was time to make a change. 4Geeks Academy's well-structured curriculum and...

Josh Lewis

I manage several websites and implement SEO strategies for them. While proficient in SEO, I recognized the value of acquiring coding skills to enhance communication with development teams and potentially improve SEO implementation. Having reviewed...