AI courses in English with a Bildungsgutschein: which programme is right for you?
If you live in Germany and are unemployed, job-seeking or at risk of losing your job, an approved Bildungsgutschein may cover the full tuition cost of an eligible AI training programme.
Turing College offers three online AI programmes taught entirely in English:
AI Engineering, for developers with at least one year of Python or JavaScript experience who want to prepare for technical work building and deploying LLM applications, RAG systems and AI agents
Building with AI Agents, for professionals who want to turn product ideas, workplace problems and manual processes into deployed software, without needing previous programming experience
AI for Business, for professionals who want to use AI, data and automation to improve analysis, communication, decisions and processes in their existing field, without needing previous AI or coding experience
The funded programmes are delivered online over three months. They follow a fixed weekday schedule from 09:00 to 16:30 and require 30 hours of study per week.
Funding is subject to individual approval. The Agentur für Arbeit will assess your employment situation, professional goal and chosen programme. Both the training provider and the specific programme must have the required approval, and the final funding decision belongs to the Agentur für Arbeit.
Check your likely eligibility for a Bildungsgutschein
Key takeaways
An approved Bildungsgutschein can cover the full tuition cost of an eligible programme.
Turing College offers three funded AI routes for different professional starting points.
AI Engineering is designed for people with at least one year of Python or JavaScript experience.
Building with AI Agents and AI for Business do not require previous coding experience.
All three programmes are online, taught in English and require 30 hours of study per week for three months.
Your funding case should connect the programme to a realistic employment goal. The final decision is made by the Agentur für Arbeit.
Why do practical AI skills matter now?
AI is changing both technical work and everyday professional tasks. Employers do not need everyone to become an AI engineer, but they increasingly need people who can use AI to solve problems, improve processes and produce reliable work.
According to the Bundesagentur für Arbeit, digitalisation and AI-driven automation are changing the skills people need at work. Its Future Skills overview highlights the importance of continuing to learn and adapt as roles change.
The global Future of Jobs Report 2025 identifies AI and big data among the fastest-growing skills. It also shows that analytical thinking, creativity, collaboration and human judgement remain important.
This creates a practical skills gap. Knowing what AI is, or completing a short course on prompts, is not the same as being able to apply it responsibly to real work. Professionals need a combination of:
knowledge of their industry or technical field
the ability to choose and direct appropriate AI tools
the judgement to evaluate AI output
the ability to turn an idea into a working process, product or system
practical evidence that they can apply these skills
Turing College develops its AI programmes around practical capabilities, current tools and the work professionals are expected to perform. Learners work with mentors who are active in their fields, apply their skills through projects and receive feedback grounded in current professional practice. This helps keep the learning connected to how AI is actually being used, rather than teaching concepts in isolation.
For a Bildungsgutschein application, this connection matters. “I want to learn AI” is too broad. A stronger case explains which AI capabilities you need, how the programme builds on your experience and where those capabilities appear in current vacancies.
Which Turing College AI programme best matches your professional goal?
The right programme should build on the experience you already have and teach capabilities relevant to the work you want to do next.
Programme | Who it is designed for | What you can learn to do at work | Practical evidence you will produce |
AI Engineering | Software developers, data professionals and other technically experienced applicants. At least one year of Python or JavaScript experience is required. | Build and deploy LLM applications, connect external or private data to AI systems using RAG, and create agents that interact with tools and APIs. | Four reviewed projects, including a capstone LLM application or AI-agent system based on your own idea. |
Building with AI Agents | Professionals who want to turn a product idea, workplace problem or manual process into software. No previous programming experience is required. | Define product requirements, direct AI coding agents, work with codebases, connect databases and services, test applications and deploy working digital products. | A series of web, mobile and AI-powered applications, including a deployed product based on your own idea. |
AI for Business | Professionals who want to apply AI in their existing field. No previous AI, automation or programming experience is required. | Analyse information, improve reports and communication, automate repetitive work and use AI to support professional decisions. | Workplace-focused projects demonstrating AI-assisted analysis, communication, data work and process automation. |
These programmes do not lead to one guaranteed job title. They develop different capabilities that can be useful across several roles. Your strongest employment case will connect the programme to your previous experience and to vacancies requesting similar skills.
AI Engineering: build and deploy LLM applications and AI agents
AI Engineering is designed for software developers, data professionals and other technically experienced applicants who want to add applied AI Engineering to their existing skills. You need at least one year of experience with Python or JavaScript.
The programme takes you beyond experimenting with prompts and model APIs. You learn how to design, build, test and deploy complete applications powered by large language models.
After completing the programme, you should be able to:
integrate models from providers such as OpenAI, Anthropic and Google into software applications
connect LLMs to private or external information using retrieval-augmented generation
structure AI workflows with LangChain
build multi-step agents with LangGraph
give agents access to tools, APIs and memory
work with vector databases
test and improve the reliability of an AI application
take an application from an initial idea to deployment
explain and defend your technical decisions during an interview or project review
These capabilities can support progression towards roles such as AI engineer and AI application developer, as well as software or data engineering positions involving LLM systems. The most realistic opportunities will depend on your previous technical experience and the requirements of individual employers.
You will complete four practical projects, including a capstone application based on your own idea. Each project gives you evidence of how you approach technical problems, make architectural decisions and improve a system after receiving feedback.
For an example of this work, read how AI Engineering learner Kai Wood built and released an open-source AI coding agent in Ruby.
When preparing for your Agentur für Arbeit consultation, collect current vacancies requesting combinations of Python or JavaScript, LLM APIs, RAG, LangChain, LangGraph, vector databases and AI-agent development. Show how the programme closes a specific gap between your existing technical background and the work those employers require.
Building with AI Agents: build and deploy software with AI coding agents
Building with AI Agents is for professionals who want to turn a product idea, workplace problem or manual process into working software. You do not need previous programming experience, but you should be ready to work with real development tools and take responsibility for what you build.
The programme gives you a structured workflow for directing AI coding agents, reviewing their output and taking a digital product from an initial idea to deployment.
After completing the programme, you should be able to:
turn a business problem into clear product and technical requirements
direct AI coding agents to implement a solution
review and improve AI-generated code
work with codebases, version control and development tools
connect applications to databases and external services
implement authentication and manage access
test application behaviour and identify errors
consider security and data protection
deploy a working application
explain what you built, why you built it and how it solves the original problem
These capabilities can strengthen your contribution in digital product delivery, process improvement, implementation, automation and technical project coordination. They are particularly valuable when combined with knowledge of a specific industry or business function.
For example, someone with logistics experience could turn operational knowledge into an internal information tool. A project or operations professional could replace a manual approval process with a structured digital workflow. The programme gives you the process and technical foundations needed to take such an idea beyond an early prototype.
The projects you complete provide evidence that you can define a problem, plan a solution, direct modern development tools, test the result and deliver working software. This gives employers something concrete to assess alongside your previous professional experience.
For your Agentur für Arbeit consultation, connect the programme to a specific problem you can solve or type of work you want to perform. Look for vacancies mentioning digitalisation, AI-supported product development, implementation, workflow automation or technical project delivery.
Explore Building with AI Agents
AI for Business: apply AI in the profession you already know
AI for Business is a beginner-friendly programme for professionals who want to use AI, data and automation at work. You do not need previous AI, automation or programming experience. You bring your professional knowledge, and the programme teaches you how to apply AI to real workplace tasks and decisions.
After completing the programme, you should be able to:
research and organise information more efficiently
clean and analyse spreadsheet or SQL data with AI support
turn data into clearer reports and business recommendations
improve presentations, written communication and documentation
create reusable prompts and reliable working processes
automate repetitive tasks
select an appropriate AI tool for a business problem
identify errors, weak assumptions and missing context in AI output
apply AI responsibly in a professional setting
These capabilities can strengthen your contribution in operations, project management, analysis, marketing, finance, customer success and administration. The programme is designed to add practical AI capability to the professional experience you already have, rather than prepare you for one generic “AI job”.
For example, a project manager could use AI to improve reporting, analyse project information and reduce repetitive coordination work. A marketing professional could use it to accelerate research and analysis while continuing to apply their own understanding of customers, positioning and brand.
Learners put these skills into practice through workplace-focused projects. One AI for Business learner with no coding background built an automation that finds potential YouTube topics, processes them with an AI agent and organises the results in a spreadsheet. See how he built it.
For your Agentur für Arbeit consultation, connect the programme to responsibilities and AI skills appearing in vacancies related to your professional background. This creates a clearer employment case than presenting the programme as preparation for a broad, undefined AI career.
How to connect your programme to a realistic employment goal
Your adviser needs to understand why the programme is necessary for your return to work. Employers need to understand what you could contribute after completing it.
Use this process:
Choose a realistic role or group of related roles based on your experience and intended direction.
Collect current vacancies from employer career pages and platforms such as LinkedIn, StepStone and Indeed.
Identify repeated skills and responsibilities, focusing on the work employers need done rather than job titles alone.
Match those requirements to the programme curriculum.
Explain which projects will provide evidence of your skills.
Describe the organisations and roles you intend to target after the programme.
A strong case does not claim that a three-month programme guarantees employment. It shows that the training provides a practical bridge between your existing background and work employers are currently recruiting for.
What should you compare when choosing an AI course?
AZAV approval is essential if you want to use a Bildungsgutschein. However, approval alone does not tell you whether a course fits your experience, professional goal or preferred way of learning.
Compare these eight areas:
1. Admission requirements
Check whether a programme expects previous programming, mathematics, data or professional experience. The right starting point should match both your current skills and the work you want to do next.
Turing College’s programmes have different entry requirements. AI Engineering requires at least one year of experience with Python or JavaScript. Building with AI Agents and AI for Business do not require previous coding experience.
2. What you will learn to do
Look beyond broad terms such as “AI”, “ChatGPT” or “prompt engineering”. A useful programme should explain what you will be able to do at work after completing it.
Turing College’s three programmes lead to different practical capabilities:
AI Engineering teaches you to build LLM applications, RAG systems and AI agents in code.
Building with AI Agents teaches you to direct AI coding agents and turn ideas or workplace problems into deployed digital products.
AI for Business teaches you to apply AI to analysis, communication, decision-making and workplace automation.
3. Practical projects and portfolio evidence
Check what you will complete during the programme and whether the projects reflect real technical or workplace problems.
Turing College learners apply their skills through practical projects. You identify a problem, select appropriate tools, build and test a solution, receive feedback and improve your work. These projects give you concrete evidence that you can present during job applications and interviews.
See what Turing College learners have built.
4. Feedback and support
Find out who reviews your work and how often you receive feedback.
Watching lessons is different from having an experienced professional examine your project, identify problems and ask you to improve it.
5. Teaching format and time commitment
Check whether the programme is live, self-directed, group-based, full-time or part-time, and whether it includes clear deadlines and regular opportunities to ask for help.
Turing College’s funded programmes are fully online and follow a fixed weekday schedule from 09:00 to 16:30, with 30 hours of study per week. Learning is organised into structured sprints with project deadlines, helping you maintain momentum and make steady progress throughout the three-month programme.
Depending on the programme, you may also take part in daily or weekly stand-ups, workshops and open sessions. Before applying, make sure you can commit to the schedule and complete work by the required deadlines.
6. Language of instruction
Confirm the language used for learning materials, mentoring, project reviews and required activities.
All three Turing College Bildungsgutschein programmes are taught in English.
7. Career support
Check whether the programme includes dedicated career support.
All Turing College learners have access to Career Services. Support includes job-search planning, CV and LinkedIn guidance, interview preparation, and help presenting your experience and project work to employers.
Career Services can help you connect what you build during the programme to realistic roles and explain your skills more clearly during applications and interviews. However, no training provider can guarantee that completing a programme will lead to a particular job.
8. Current funding information
Check the specific programme, not only the provider.
The official mein NOW Weiterbildungssuche allows you to find current training offers and filter for programmes that accept a Bildungsgutschein. Listings and course dates can change, so verify the current information before your consultation.
Are the programmes taught in English?
Yes. All three Turing College Bildungsgutschein programmes are taught in English. You do not need to speak German to study with us.
Your appointment with the Agentur für Arbeit may be conducted in German. If necessary, consider bringing someone who can translate.
All three funded programmes are delivered online and follow a fixed weekday schedule from 09:00 to 16:30, with 30 hours of study per week.
What is a Bildungsgutschein?
A Bildungsgutschein is a German funding instrument for vocational training. It is issued by the Agentur für Arbeit following an individual consultation.
According to the Bundesagentur für Arbeit, training may be funded when it is necessary to:
end existing unemployment
prevent impending unemployment
provide additional qualifications that improve your employability
help you gain the skills required to secure employment
The voucher is normally limited to a particular period, region and educational objective. Both the provider and the selected training programme must have the required approval.
If your Bildungsgutschein is approved for the programme, it can cover the tuition fees and required learning materials. Depending on your circumstances, support may also be available for childcare, travel or accommodation. The Agentur für Arbeit decides which costs can be covered in your case.
Who may be considered for a Bildungsgutschein?
You may be considered if you:
live and are officially registered in Germany
are unemployed or registered as job-seeking
have received notice that your employment will end
have a fixed-term contract that ends soon
are on reduced working hours
need further training to end or prevent unemployment
You do not need to be a German citizen. Your adviser will consider your residence and employment status, professional goal and whether the programme is necessary for improving your employment prospects.
Funding is assessed individually. Meeting one or more of these conditions does not guarantee approval.
Can I join a Turing College programme if I am currently employed?
Yes. Being employed does not prevent you from joining a Turing College programme. Depending on your circumstances, you may be able to use public funding, receive support through your employer or pay for the programme yourself.
If your job is at risk
You may be considered for a Bildungsgutschein if further training is necessary to prevent impending unemployment. The Agentur für Arbeit assesses this individually, and funding is not guaranteed.
If you are remaining with your employer
The Bundesagentur für Arbeit can provide full or partial support for employee training in certain circumstances. This route normally involves your employer, and the amount of support depends on factors including the programme, your circumstances and the size of the organisation.
Your employer should discuss the available options with the Agentur für Arbeit’s Arbeitgeber-Service. You can find current information about funding further training for employees on the Bundesagentur für Arbeit website.
If you want to pay for the programme yourself
You can also apply to Turing College as a self-funded learner without a Bildungsgutschein. The available format, schedule and tuition fee may differ from the funded version, so check the details of your chosen programme before applying.
How should you prepare for your consultation?
Your case will be stronger when it is connected to a realistic professional goal rather than a general interest in AI.
Before the consultation, prepare:
a specific professional goal
current vacancies requesting the relevant skills
a clear explanation of how the programme builds on your experience
information about the curriculum, duration, schedule and learning outcomes
the programme’s current mein NOW listing
a realistic plan for attending the fixed weekday schedule
examples of the projects you expect to complete and how they will support your job search
What if your Bildungsgutschein is rejected?
A rejection does not necessarily mean that no further action is possible. What you should do depends on the reason given and the deadline stated in the decision.
Read the decision carefully and consider obtaining appropriate advice before submitting an objection.
You can also read one learner’s experience in Bildungsgutschein rejected? How to appeal and win.
How are Turing College’s online AI programmes taught?
Turing College’s funded AI programmes are fully online, but they are not self-paced video courses. You follow a fixed weekday schedule and learn through structured sprints, practical projects, expert feedback and regular interaction with mentors and other learners.
Your mentors are experienced professionals currently working in their fields, not only lecturers teaching theory. They bring current industry experience to workshops, open sessions and one-to-one project reviews.
Depending on the programme, your learning experience may include:
daily or weekly stand-ups to discuss progress and blockers
workshops focused on important concepts and practical skills
open sessions where you can ask questions and work through challenges
practical projects based on technical or workplace problems
one-to-one project reviews with experienced mentors
feedback followed by an opportunity to improve and resubmit your work
access to the Turing College learner community
Career Services to help you prepare for your next professional step
Each programme is divided into sprints. During a sprint, you learn the relevant concepts, apply them to a project and submit your work for review. A mentor then reviews the project with you one-to-one, challenges your decisions and helps you identify what should be improved.
The projects reflect work you may need to do professionally. Depending on your programme, you might build an AI application, turn a manual process into an automated workflow or use AI to analyse information and support business decisions.
Career Services helps you connect this work to your employment goal and prepare to present your experience and projects to employers.
By the end, you have more than a certificate. You have reviewed project work that can demonstrate how you approach problems, select appropriate tools, test your results, explain your decisions and respond to professional feedback.
See what Turing College learners have built.
Take the next step
All three funded Turing College AI programmes are online, taught in English and delivered over three months at 30 hours per week.
Funding is subject to individual approval by the Agentur für Arbeit. Checking your likely eligibility is the first step, not a guarantee that a voucher will be issued.
Check your Bildungsgutschein eligibility
Compare all Turing College Bildungsgutschein programmes
Frequently asked questions
Can I study without speaking German?
Yes. All three programmes are taught in English. Your Agentur für Arbeit appointment may be in German, so consider bringing someone who can translate if needed.
Are the programmes completely online?
Yes. The funded programmes are delivered online, follow a fixed weekday schedule from 09:00 to 16:30 and require 30 hours of study per week.
Can I study without coding experience?
Yes, depending on the programme. Building with AI Agents and AI for Business do not require previous coding experience. AI Engineering requires at least one year of experience with Python or JavaScript.
Will a Bildungsgutschein cover all tuition fees?
If your application is approved for the specific programme, the voucher can cover the full tuition fee. The final decision is made by the Agentur für Arbeit.
Can I complete a funded programme while working full-time?
The funded programmes should be treated as full-time training. Their fixed weekday schedule and 30-hour weekly commitment will not normally fit around a full-time job.
What can I do if my Bildungsgutschein application is rejected?
A rejection may not be the end of the process. Read the written decision carefully and check the deadline for submitting a formal objection, known as a Widerspruch. The appropriate next step will depend on the reason given, so consider seeking qualified advice before responding.
Read how one Turing College learner successfully challenged his Bildungsgutschein rejection and built a tool to help other applicants understand the process.
Which Turing College AI programme is suitable if I do not have coding experience?
Building with AI Agents and AI for Business do not require previous programming experience.
Choose Building with AI Agents if you want to create and deploy digital products using AI coding agents. Choose AI for Business if you want to apply AI to analysis, communication, decision-making and workplace automation in your existing professional field.
AI Engineering is designed for applicants with at least one year of experience using Python or JavaScript.
Is Building with AI Agents a no-code course?
No. Building with AI Agents does not require previous coding experience, but it is not a traditional no-code course.
You will work with real software projects, codebases, databases, version control, testing and deployment. AI coding agents handle much of the implementation, while you define the requirements, direct the work, review what the agents produce and make sure the finished application works correctly.
The programme is particularly suitable if you already have a product idea, workplace problem or manual process that you want to turn into a working digital solution.
What do learners build during Turing College’s AI programmes?
Learners build projects based on practical technical and workplace problems.
AI Engineering learners have created projects including a multi-agent system that automatically balances card games, an offline manufacturing design review engine and an agent that automates parts of a software integration workflow.
AI for Business learners have built an automated system that turns spreadsheet data into formatted reports delivered through Slack, and a social media reporting and planning system that reduces manual analysis and content-planning work.
Explore more projects in the Turing College learner showcase.
Will completing an AI programme help me find a job?
An AI programme cannot guarantee employment. Its value comes from developing relevant capabilities and giving you practical evidence of what you can do.
During the Turing College programmes, you complete projects that can help you demonstrate how you approached a real problem, selected appropriate tools, tested your work and improved the result after receiving feedback.
The strongest employment case combines these projects with your previous professional experience and targets roles where employers request similar skills. For example, an experienced developer can use an AI-agent project to demonstrate technical AI capability, while an operations or marketing professional can show how they automated a process relevant to their existing field.
Want to start building with AI?
Ship real products with AI agents on our hands-on Building with AI programme.