Next cohort: — Only 12 seats remaining 100% funded with a Bildungsgutschein Approval takes 3–4 weeks — start now 4.9/5 on Course Report 14 AI tools in 3 months Next cohort: — Only 12 seats remaining 100% funded with a Bildungsgutschein Approval takes 3–4 weeks — start now 4.9/5 on Course Report 14 AI tools in 3 months

AI Engineering

Already know how to code? Become an
AI Engineer
in 3 months.

LangChain, AI Agents, RAG, OpenAI APIs — the engineering skills that make you indispensable in the AI era.

100% funded Bildungsgutschein eligible · €0 cost

Check Bildungsgutschein eligibility →

For unemployed or at-risk professionals in Germany

Application closes in

Days

Hours

Min

Sec

Next cohort starts May 11, 2026 · 12 seats left

Next cohort

—

12 seats remaining

Application close in:

Days

Hours

Min

Sec

Duration3 months · 30h/week

Funding100% Bildungsgutschein

FormatOnline, self-paced

CertificationAZAV · Turing College

Rating4.9 / 5 Course Report

What you'll be able to do

Key skills you will gain

Built for engineers who want to go beyond using AI tools — and start building with them. Every skill is applied in a real project before you move on.

LLM application development

Build real-world applications using Python, LangChain, and Gradio.

Prompt engineering & APIs

Master prompt engineering and integrate with OpenAI, Anthropic, Google Gemini, and Meta Llama.

RAG & vector databases

Use retrieval-augmented generation and vector databases like ChromaDB to connect models with external data.

AI agents

Design and deploy intelligent AI agents that automate tasks and retain context.

Curriculum

What you learn — sprint by sprint

4 sprints, 4 real projects — mastery-based progression. Pass the project, unlock the next sprint. Self-paced with 1:1 expert feedback throughout.

Sprint 01

Foundations of LLM Application Development

Learn what it actually takes to build with large language models — the technical and ethical foundations you need to start strong.

Understand how LLMs work, their capabilities and limitations
Set up your development environment in Python or JavaScript
Connect to APIs — OpenAI, Anthropic, and others
Master prompt engineering and LLM settings for reliable outputs
Apply responsible AI principles to real-world applications

Key tools

PythonJavaScriptOpenAI APIAnthropic APIPrompt engineering

Sprint 02

Building with LangChain, RAGs & Gradio

Build interactive LLM-powered tools by integrating external knowledge and real-world data sources.

Use LangChain to structure and enhance LLM workflows
Implement Retrieval-Augmented Generation (RAG) for external data
Store and retrieve embeddings with vector databases like ChromaDB
Build structured outputs and prototype chatbots
Create your first full-stack LLM app with Gradio, Streamlit, or Next.js

Key tools

LangChainRAGChromaDBGradioStreamlitNext.js

Sprint 03

AI Agents

Go from simple LLM chains to full autonomous agents that make decisions, run code, and carry out multi-step tasks.

Understand agent architecture — tools, memory, and reasoning loops
Build agents that can execute code and interact with external APIs
Implement memory mechanisms so agents retain context over time
Use LangGraph for complex multi-step agent workflows
Design and deploy autonomous systems for specific real-world goals

Key tools

LangGraphAI agentsOpenAI GPTMeta LlamaGoogle Gemini

Sprint 04

Capstone Project

Build something end-to-end. Design, prototype, and deliver a full LLM-powered application with 1:1 expert review.

Choose from real-world scenarios tied to different AI engineering domains
Design the full architecture — data, model, interface, deployment
Apply everything from sprints 1–3 in one cohesive build
Get 1:1 review from an experienced AI engineer
Graduate with a portfolio-ready project to show employers

Full stack

LangChainLangGraphRAGVector DBPython / JSGradio / Next.js

Small groups~12 learners per cohort

Self-paced24/7 access · 30h/week

Curated materialsStructured for every sprint

1:1 expert feedbackEngineers from Google, Meta, Spotify

Mastery-basedPass the project to progress

4 graded projectsOne per sprint · portfolio-ready

Student projects

Not just a certificate.
Proof of actual work

During the program you build 4 real projects — one per sprint, each reviewed by an experienced AI engineer. These are examples of what graduates have built and shipped.

LangGraphMulti-agentGradio

Card Battle Auto-Balancer

A 5-agent LangGraph system that auto-balances card game parameters using Monte Carlo simulation — 1000+ battles per iteration, converges to 0.92 fitness in under 4 minutes.

Oleg Reva · AI Engineering

LangChainFAISSOllama

Manufacturing Design Review Engine

Offline-first AI system that analyses STEP CAD files and evaluates manufacturability across 8 processes — CNC, sheet metal, casting, additive and more. Runs entirely without cloud dependency.

Tamás Vetési · AI Engineering

LangGraphPineconeRedis

AI-Powered Technical Interview Assistant

Autonomous agent that conducts multi-phase technical interviews, adapts questions in real time, and generates personalised learning roadmaps using dual-layer memory (Redis + Pinecone).

Albion Bame · AI Engineering

LLMStreamlitYahoo Finance

Stock Analyst

AI that scrapes financial websites, extracts structured stock recommendations using an LLM, validates against DCF valuation models, and surfaces everything in a clean Streamlit dashboard.

Mircea Paciu · AI Engineering

OpenAIGitHub APISlack

CommitDigest

Turns GitHub commit history into plain-English summaries delivered on schedule via Slack, Discord, or email. Keeps teams aligned without anyone reading a git log.

Žymantas Katinas · AI Engineering

RAGOpenAILangChain

AspirePath Navigator

AI career analysis platform that reads LinkedIn profiles and resumes to map career trajectories, flag automation risk, and surface personalised upskilling paths. Built as a capstone project.

Lukas Kaminskis · AI Engineering

See all student projects →

Our mentors bring first-hand experience from companies and universities such as:

The companies and institutions mentioned have no institutional affiliation or official partnership with Turing College.

Your timeline

How to get started —
step by step

Getting a Bildungsgutschein takes a few weeks. We guide every step — from your first form to your advisor appointment.

Next group: June 22, 2026

Start at least 3–4 weeks before the group start date. We've guided hundreds of applicants through this process.

Not sure if you qualify? Check eligibility →

Today

Apply to Turing College

Fill in a short form and answer two open questions.

Day 2–5

Consultation call

Discuss your goals and confirm the program is right for you.

Week 1–2

Prepare for Agentur für Arbeit

Gather documents and prepare your case with our guidance.

Week 3–4

Meeting with caseworker (Vermittler)

Receive the Bildungsgutschein approval.

June 22

Course starts

June 22th — fully funded and ready to go.

Today

Apply to Turing College

Fill in a short form and answer two open questions.

Day 2–5

Consultation call

Discuss your goals and confirm the program is right for you.

Wk 1–2

Prepare for Agentur für Arbeit

Gather documents and prepare your case with our guidance.

Wk 3–4

Meeting with caseworker (Vermittler)

Receive the Bildungsgutschein approval.

June 22

Course starts

June 22th — fully funded and ready to go.

Funding is available if you're unemployed or at risk of unemployment and registered with the Agentur für Arbeit or Jobcenter in Germany. Check your eligibility →

Only 12 seats. The process needs time

Getting a Bildungsgutschein sits with the Agentur für Arbeit — not with us. Starting early means time for follow-ups and corrections. Waiting risks missing this group entirely.

Testimonials

Our graduates have achieved life changing growth. You can too.

★★★★★

"I was unemployed and job hunting when I found Turing College. The program was short, practical, and built for people who already know how to code — not beginners. I used a Bildungsgutschein to cover 100% of the tuition, and by the end of three months, I'd built a complete AI research assistant — a multi-agent system with a RAG pipeline, tool calls, and a production-ready interface. I came in as a data scientist. I came out as an AI engineer."

Christina Chang

AI Engineering graduate, funded via Bildungsgutschein

FAQ

The questions you're
probably asking yourself

Who is this AI Engineering course for?

This course is ideal for people with at least 1 year of coding experience who want to upskill into AI Engineering. If you've worked in software, data, or tech — or taught yourself to code — this program will help you break into AI roles fast. If you're brand new to coding, check out our Software and AI Engineering program for beginners instead.

How long does it take to complete the course?

For learners funded by the German government (with Bildungsgutschein), the course is designed to be completed in 3 months, requiring around 30 hours per week. You'll move through four structured sprints, each ending with a hands-on project that must be passed before continuing.

Will I get help finding a job?

Yes. We offer career support including mock interviews, CV preparation, LinkedIn audits, and job search guidance. You'll also graduate with a portfolio of four real AI projects — a huge advantage when applying to technical roles.

What is the Bildungsgutschein and how do I get it?

The Bildungsgutschein is a government-issued education voucher from Agentur für Arbeit or Jobcenter that can cover 100% of your tuition. If you're unemployed or at risk of unemployment, you may qualify. We guide you through the full application process and help you prepare for your caseworker consultation.

What are the funding options?

If you're a resident of Germany, the Bildungsgutschein could be an option for you — it's a government funding program available for unemployed people. If you're looking to pay from your own pocket, we offer zero-interest monthly installments or a 17% discount if you pay the full tuition upfront.

What if my Bildungsgutschein gets rejected?

We help you avoid it. We know the common rejection reasons and give you concrete arguments for your advisor conversation. If it still doesn't work, there are 0% interest installment options and a self-pay route with a 14-day money-back guarantee.

What happens after graduation?

You receive an official Turing College certificate and a portfolio of four real AI engineering projects. Career Service is unlocked during the learning period — not just after — and includes HR and technical mock interviews, CV and LinkedIn optimisation, and live career sessions.

Already know how to code? Become an
AI Engineer
in 3 months.