How learning works at Turing College
Turing College offers two learning models: flexible asynchronous learning for self-payers and intensive synchronous training with government funding in Germany. Both use practical sprints and real-world projects; the government-funded programme offers more 1:1 mentor support and synchronous learning supervision.
Two learning models
Choose the model that matches how your studies are funded. The comparison below shows the differences in format, schedule, support, learning time and attendance.
Eligible jobseekers in Germany may receive full programme funding through a Bildungsgutschein.
Employees may qualify for employer-supported training funding through QCG and also receive synchronous learning support.
🧭 Asynchronous Self‑pay
🇩🇪 Synchronous Gov‑funded
🎓 Format
On-demand online learning for busy professionals.
Intensive, full-time synchronous training.
🕘 Schedule
A flexible weekly schedule.
Core learning hours: Monday–Friday, 09:00–16:30.
🤝 Support
On demand during scheduled stand-ups, open sessions and 1:1 reviews.
Mentors support you during core learning hours.
⏱️ Learning time
Varies by programme and weekly plan.
Full-time for three months.
✅ Attendance
Not tracked.
Attendance is required; at least 80% to finish.
Certified programme pricing differs from standard self-pay tuition. If approved, the funding provider covers the cost of the certified measure.
Select your learning model
Explore a learning model
An intensive, full-time programme with continuous mentor guidance and more frequent 1:1 support during core learning hours. Available to eligible learners in Germany through government funding.
Admissions 📝
Apply for the chosen measure before requesting a Bildungsgutschein. We assess learning readiness, practical English, your professional goal and full-time availability; the relevant Agentur für Arbeit makes the funding decision.
- 26.4%
- 🇩🇪 Gov-funded educational-offer rate
Of 3,070 applicants in Germany, 809 received an educational offer/admission. Data period: 12 August 2025 to 11 August 2026.
Our application process has two simple steps. First, tell us about your background and answer two short questions about your motivation and goals — our admissions team reviews every application personally and replies within 24 hours on working days. If the program is a good match, we’ll invite you to a 20–30 minute consultation where you can ask anything, go over your financing options, and decide together whether it’s the right next step.
To get the most out of your consultation, check out this Quick guide on how to prepare for Turing College.
- 1
Application
Tell us about your background, motivation and goals. - 2
Interview
Meet admissions for a 20–30 minute consultation about fit, timing and funding. - 3
Decision
Receive a decision and the relevant next steps for your learning model.
Learning groups
Learn in a fixed group of up to 12 participants with assigned mentors. The shared learning day creates continuous peer contact, while differentiated support helps learners work through exercises at different speeds.
We understand that the quality of your peers highly impacts your learning experience. That's why we admit only the top 26% of candidates. We are a hub for high-achievers who inspire each other to be better tomorrow than they were today.
Your group gives you space to exchange ideas, ask questions and build lasting professional connections.
You can meet people ranging from unicorn founders to Olympic medalists, each bringing a radically different perspective to the same learning community.
Learning 📚
The synchronous model is an intensive three-month full-time programme. You learn Monday–Friday during core learning hours of 09:00–16:30 in a fixed group of up to 12 learners with assigned mentors supporting you throughout.
The curriculum is organised into practical sprints that combine learning, project work and feedback.
Pay for skills, not content
We cut through the noise of bootcamps by providing you with real-life skills by maximizing hours of practice and personal feedback.
The programmes use curated and custom-created material. Our content teams assemble the curriculum from carefully selected top resources on the web and update it regularly. Much of the content is not unique, but it works best.
Core learning hours: 09:00–16:30
Learning takes place Monday–Friday during core learning hours of 09:00–16:30. Mentors support you during this learning time; extra study outside the schedule is optional.
Join a supportive community
Your assigned mentor supports you during the learning day and can respond in real time. You also learn in a fixed group of up to 12 and can use the supervised community channel.
Virtual Classroom
A synchronous, mentor-led, lab-like online learning format. Each learner must log in and study actively during core learning hours unless they are in another scheduled learning event.
Stand-ups
Mandatory daily online meetings where learners discuss their progress with the mentor, share current challenges and set goals for the coming days.
Open Sessions
Open consultation hours in small groups on specific topics. This format lets you exchange ideas and clarify questions with industry-expert STLs (Senior Team Leads) other than your dedicated batch mentor. That gives a broader view of the same material, and of how specialists from different industries and companies approach a problem. The format is flexible: bring questions and discuss them in the way that works best for you.
Workshops
Depending on the programme, you can join workshops that go deeper on specific topics with industry experts and mentors. These are hands-on sessions where participants present solutions, ask questions and get targeted guidance.
Gain real-world work experience
Work on practical projects during supervised learning time, with fixed deadlines, workshops and personal feedback. Each measure includes four to five project-based assessments evaluated against standardised criteria.
Our learning method replicates the real-world tech team experience by providing personalized feedback on projects every week from senior colleagues and managers.
On top of technical feedback and guidance, you get 1on1 coaching aimed at helping you to become a better professional. No other online tech school offers such a model.
Junior Team Leads (JTLs)
Our top learners step up as Junior Team Leads, taking on leadership roles to support others. They know exactly what it’s like to be in your shoes and are here to provide day-to-day guidance, detailed feedback, and practical advice. JTLs help you move forward faster, stay motivated and make sure you’re never stuck wondering what to do next. They also earn scholarships for taking on these responsibilities.
Senior Team Leads (STLs)
Senior Team Leads are experienced professionals from companies such as IBM, Vinted and Nord Security. They guide your learning through group meetings, personalised feedback and 1:1 project reviews, helping you build skills that matter in real work.
Our mentors bring experience from organisations and universities including:
These organisations and institutions have no institutional affiliation or official partnership with Turing College.
Career coach
Our Career Coaches help you fine-tune your job search strategy—from personalizing your resume and portfolio to sharpening your interview skills. They’re here to make sure you’re fully prepared to land your dream job in tech.
Projects 📋
Complete four to five project-based assessments during the three-month measure. Projects have fixed deadlines, are reviewed 1:1 against standardised criteria and become evidence for your job portfolio.
Each project starts from a practical challenge rather than an isolated academic exercise. You finish with work you can explain, demonstrate and improve.
Real projects from the public Turing College showcase:
AI-Assisted Digital Client Intake for German Traffic Law Firms
Rasim Baybars · AI for Business
Card Battle Auto-Balancer: Agentic AI System
Oleg Reva · AI Engineering
Manufacturing AI Design Review Engine
Tamás Vetési · AI Engineering
Retrieval-Augmented Generation (RAG)-Powered Knowledge Assistant
Trung Ta · AI Engineering
Automated AI Players Behavior Analyzer
Aivaras Juškevičius · AI for Business
AI-Powered social media reporting & content planning
Aelita Pliuskyte · AI for Business
Explore these and more graduate projects in the public project showcase.
Practice-based learning: Project reviews
Learners apply theoretical knowledge immediately by working on practical projects that simulate real-world scenarios. Following how tech teams work, learning is organised in sprints.
- 1
Complete the project
Most sprints require submitting a project. You complete practical work that simulates a real professional situation and shows you can apply theory on the job. - 2
Present your approach in a 1:1 review
You present in a live 1:1 online session with an experienced mentor — the Senior Team Lead (STL). - 3
Receive feedback against clear criteria
The STL gives detailed, personalised feedback using standardised review criteria. - 4
Apply the feedback and continue
The STL decides whether you are ready for the next sprint. This mastery-based approach ensures you can translate concepts into real working competence.
Career 💼
Career preparation is integrated into the measure through simulated HR and technical interviews, CV and LinkedIn optimisation, application strategy, salary-negotiation support and live career sessions.
Once you’ve completed your technical skills training, our career program can help you prepare for the next stage in your career.
We aim to make you job-ready.
Our in-house hiring managers will help you to build and refine your resume, portfolio, and social media profile.
We’ll also give mock interviews and coaching sessions that are designed to help you prepare for both technical and behavioral job interviews.
We will help with:
Resume & portfolio prep
Career coaching
Mock interviews
Insights on hiring trends & salaries
Will help you to achieve one of three:
Three career paths, one practical goal
Edvard completed Data Science and AI Engineering studies at Turing College, supported other learners as a Junior Team Lead, and later co-founded condense.chat.
Programme duration and core learning hours
Our funded programmes AI Engineering, Building with AI Agents and AI for Business last 13 weeks, or about 3 months (520 teaching units). Funded participation is mandatory during core learning hours: Monday to Friday 09:00 to 16:30, and attendance is recorded.
- AI Engineering13 weeks
- Building with AI Agents13 weeks
- AI for Business13 weeks
Certificate
Successful participants receive a provider certificate and a reviewed project portfolio after completing the certified measure.
By the end of the programme, our goal is for you to have built the most ambitious and technically challenging project you can deliver — work you can proudly share with an employer, your manager, or a venture capital firm.
