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Qualifizierungschancengesetz (QCG) · Germany

Build your team’s AI skills with up to 100% government funding.

Your team learns to build AI tools, automate recurring tasks and analyse data. Colleagues develop projects with feedback from mentors to put those skills into practice.

  • AZAV-approved training
  • 100% online
  • English or German teaching options
Funding covers up to 100% of eligible training costs, subject to the funding conditions and approval by Germany’s Federal Employment Agency (Agentur für Arbeit).

Your team’s programme fees

Up to 100%

For companies with fewer than 50 employees, the Agentur für Arbeit can cover up to 100% of eligible training costs. See the rates and exceptions below for other companies.

Wage support during training

Up to 75%

For companies with fewer than 50 employees, the Agentur für Arbeit can reimburse the employer for up to 75% of eligible wage costs during training. Lower standard rates apply to larger companies.

QCG funding for employees in Germany

The Qualifizierungschancengesetz (QCG), or Qualification Opportunities Act, helps employees in Germany learn new skills as their work changes. Under §82 SGB III, the Agentur für Arbeit can fund eligible training costs and wage costs for time away from work to study. Team members stay employed and plan the training with their employer.

Two colleagues review a learning plan at a laptop in a Berlin office.

Help your team build the tools it needs

Your team already knows which tasks repeat and which decisions need better data. At Turing College, colleagues learn to turn that knowledge into AI applications they can build, test and assess together. Turing College provides the training, and the Agentur für Arbeit decides on funding.

From a team’s idea to a tested tool

With external specialists

Your team briefs and reviews

  1. Your team’s idea
  2. Brief a specialist
  3. Receive the tool
  4. Review the result

With AI skills in the team

Your team builds and reviews

  1. Your team + AI agents
  2. Build and test
  3. Review and use

This example shows how responsibilities can change. It does not promise a time saving. Your team still checks outputs, protects sensitive data and decides what to use.

  • Define the task and check the result

    Your team learns to describe a problem, write clear prompts and assess what AI produces. Colleagues practise a process they can use as tools and job requirements change.

  • Develop more tools within the team

    Colleagues who understand AI can build and assess more of their own workflows. That knowledge can reduce reliance on external providers while helping the team recognise when specialist support is needed.

  • Discuss training costs with HR

    QCG can help cover programme fees and the employer’s wage costs for eligible training time. Use the funding table to discuss the subsidy and the employer’s contribution with management or HR.

  • Learn through projects and feedback

    Your team follows a clear learning plan and puts new skills into practice while staying employed. The programmes below are full time. Agree on study time and time away from work with the employer before starting.

Learner projects

AI tools built by Turing College learners

A scenario lab, a manufacturing review tool and a client-intake app: these learner projects show how AI and data skills can be used for specific tasks at work.

Learner testimonials · Germany

AI Engineering learners share their experience

Dragan Lagos, Avishek Chatterjee and Kai Wood explain what they built and learned on Turing College’s AI Engineering programme, including how project feedback helped them and what it took to deploy their own AI applications.

Coming to Turing College was one of the best decisions of my career. The sprint structure and regular feedback gave me a repeatable way to build AI products. Over four sprints, I completed several projects and deployed one to production. Shortly after graduating, I joined Eurowings Digital (Lufthansa Group) as a Staff Engineer, where I will contribute to AI initiatives. I recommend the program for its structure, frequent feedback, and emphasis on completing projects.
Dragan Lagos
Staff Engineer, Eurowings Digital (Lufthansa Group)
I was already working in AI when I joined Turing College. I wanted more structure for turning prototypes into systems I could rely on. The sprint deadlines and reviews from senior staff and peers helped me improve each project. I built and deployed several applications, including a LangGraph agent for planning European night train journeys. I now use that portfolio in interviews, and I understand the full process of taking an AI application from an idea to deployment.
Avishek Chatterjee
AI Engineering graduate
I'd been a programmer my whole life, and a year ago I was so drained I'd stopped coding completely. Turing College's AI Engineering program took out the boring parts and let me build what I cared about, and somewhere in there I found the joy in programming again. I came in self-taught with no CS degree, and I came out having shipped an AI coding agent, Kward, that I now use every day.
Kai Wood
AI Engineering learner

Funding by company size

Training costs and wage costs receive separate subsidies. The standard rates depend on company size. The wage subsidy reimburses the employer for eligible time away from work to study. It is not an extra payment to employees, and it does not automatically cover their full salaries.

Standard QCG subsidies by company size, before exceptions or additional support
Company size*Subsidy for training costsSubsidy for wage costs during training
1 to 49 employeesup to 100%up to 75%
50 to 499 employeesup to 50%up to 50%
500+ employeesup to 25%up to 25%
  • In companies with fewer than 500 employees, employees aged 45 or over or with severe disabilities may qualify for up to 100% training-cost coverage.

  • A qualifying works agreement or collective agreement on further training can increase support by five percentage points. The Agentur für Arbeit determines which conditions apply.

* Company size can include associated companies and the wider corporate group. The Agentur für Arbeit checks the applicable employee count and approves the subsidy. Sources: Federal Employment Agency funding guidance and §82 SGB III. Funding rules checked on 12 October 2026.

Who can receive QCG funding

QCG supports training for people who are already employed in jobs subject to social insurance contributions. QCG-funded Turing College programmes require an existing vocational qualification and do not replace initial vocational training. The Agentur für Arbeit reviews each employee’s qualifications, previous funding and proposed training. Team members plan the training with their employer. A provider’s AZAV approval alone does not guarantee funding.

Core funding requirements

  • The training lasts more than 120 hours.

  • Both the training provider and the course are approved for funding (AZAV).

  • The training goes beyond short, purely workplace-specific adaptation measures.

  • As a rule, the vocational qualification was completed at least two years ago. The law refers to qualifications with a prescribed training duration of at least two years.

  • The employee has not taken part in training funded under §82 SGB III in the two years before applying.

Before applying, discuss any accessibility support your team needs with us at study@turingcollege.com. We’ll confirm what support the programme can provide.

Training that an employer is legally required to provide is excluded. These are core requirements, not an individual eligibility decision. Sources: §82 SGB III and the agency’s guidance for employees.

How to plan your team’s training

Turing College can advise your employer before they apply, including how to explain the training need and prepare the funding application. Book a free consultation to discuss the team’s learning goals and study plan. The employer coordinates the application, and the Agentur für Arbeit decides on funding.

  1. 1

    Agree on the team’s learning goals

    List the tasks your team wants to handle with AI and how tools and roles are changing. Discuss the skills needed with management or HR, then agree on what the training should cover.
  2. 2

    Check funding with the agency

    The employer can call the Agentur für Arbeit’s employer service on 0800 4 555520, free of charge. The service explains eligibility, subsidy rates and which documents the company and participating employees need.
  3. 3

    Choose a programme and plan study time

    Discuss the right programme, its funding approval and English or German teaching options with Turing College. Agree on the language, full-time learning schedule and time away from work with the employer before confirming places.
  4. 4

    Get approval before training starts

    Prepare the funding documents with the employer and wait for approval before the programme starts. Colleagues with comparable qualifications, learning goals or training needs may be able to apply together, with the required consent.

Questions about Turing College programmes? Email study@turingcollege.com. For the funding decision, contact the Agentur für Arbeit on 0800 4 555520 (toll-free).

Choose a programme for your team

AI Engineering

3 months

Time commitment

Full time (30 hours per week) Fixed schedule (weekdays 09:00–16:30)

Learning format

100% online, with 24/7 access to the learning platform

What you’ll learn:

  • Foundations of LLM Application Development
  • Building Applications with LangChain, RAGs, and Gradio
  • AI Agents

Tools and languages

  • Python
  • JavaScript
  • LangChain
  • LangGraph
  • RAG
  • OpenAI GPT models
  • Google Gemini
  • Meta Llama
  • Claude
  • Prompt engineering
  • Vector databases
  • Streamlit
  • Next.js
  • AI agents

Building with AI Agents

3 months

Time commitment

Full time (30 hours per week) Fixed schedule (weekdays 09:00–16:30)

Learning format

100% online, with 24/7 access to the learning platform

What you’ll learn:

  • Claude Code Foundations & Simple Applications
  • Agentic Engineering & Databases/Hosting
  • Advanced Agentic Engineering & Building AI Applications
  • Security, Mobile Apps & SaaS

Tools and languages

  • Claude Code
  • Cursor
  • Lovable
  • OpenRouter
  • GitHub
  • Vercel
  • Next.js
  • Supabase
  • Firebase
  • MCP
  • Google Cloud Platform
  • Playwright

AI for Business

3 months

Time commitment

Full time (30 hours per week) Fixed schedule (weekdays 09:00–16:30)

Learning format

100% online, with 24/7 access to the learning platform

What you’ll learn:

  • Introduction to AI
  • Accessing and communicating data
  • AI for Analytical Insights
  • AI for Automation

Tools and languages

  • OpenAI GPT models
  • Google Gemini
  • Microsoft Copilot
  • Claude
  • GPT-4o Image Generator
  • SQL with AI
  • Google Sheets with AI
  • Python with AI
  • Zapier

FAQ

Can employees start the conversation about QCG?

Yes. Employees can discuss the team’s learning goals and study time with their manager or HR team. Funded training requires agreement with the employer. QCG supports companies of different sizes. The highest standard rates apply to employers with fewer than 50 employees: up to 100% of training costs and up to 75% of eligible wage costs during training. The Agentur für Arbeit checks eligibility and company size.

When can QCG cover up to 100% of training costs?

Companies with fewer than 50 employees can receive up to 100% of eligible training costs. The same can apply to employees aged 45 or over or with severe disabilities in companies with fewer than 500 employees. Full training-cost coverage does not mean every employee’s whole salary is covered. Funding must be approved before training starts.

What are the minimum QCG training requirements?

The course must last more than 120 hours, both the course and provider must be approved for funding, and the learning must go beyond short workplace-specific adaptation. §82 SGB III also sets conditions on previous qualifications and funding. The agency checks these alongside the employee’s circumstances.

Does the team need employer agreement and funding approval before starting?

Yes. Agree on the programme and study time with the employer, contact the Agentur für Arbeit early and get the funding decision before training starts. Enrolling with Turing College does not by itself secure QCG funding.

Who decides whether QCG funding is approved?

The Agentur für Arbeit decides whether the employee and training meet the funding conditions and how much support is available. Turing College provides programme information and helps the team choose a programme and understand the admissions process. It does not approve government funding.

Can the employer apply for several team members?

A joint employer application may be possible for employees with comparable qualifications, learning goals or training needs. The required employee or employee-representative consent must be in place. The employer can ask the Arbeitgeber-Service which route and documents apply to the team.

Find the right AI programme for your team.

Tell us what your team wants to build or do differently at work. In a free consultation, we’ll discuss programmes and teaching languages, then provide the information needed for conversations with management and the Agentur für Arbeit.