Become a software & AI engineer — no experience needed
Learn Python, work with AI, build real apps. Start a new career in 6-8 months with hands-on, project-based learning.
Self-paced, 100% online
Minimum 8-12h per week
6-8 months to graduate
1:1 mentorship from top tech experts
Supportive community
+150 mentors from top tech companies
Open the door to the most in-demand tech careers
Even if you’ve never written a line of code before.
The job market is shifting and not all developer roles are growing at the same pace. But there’s a new surge in demand for AI engineers — developers who combine coding with tools like ChatGPT and LangChain to build smart, AI-powered apps. This Software & AI Engineering course is built for that shift. You’ll start with Python and progress step by step into building real-world AI apps. By the end, you’ll be ready to apply for roles in software engineering, AI engineering, or LLM app development — even if you’re starting from zero.
What can you expect?
Self-paced learning and flexible schedule
Learn at your own pace, anytime. We recommend 8-12 hours a week to meet deadlines, but you can adjust to fit your lifestyle with 24/7 access to materials.
Experience with practical projects
Build confidence tackling real business problems with mentor feedback. In 7 projects, you'll leverage AI to address real-world challenges.
1:1 mentoring
Receive detailed feedback from mentors.
AI tools and languages you’ll use
Program outline
Each sprint builds your skills step-by-step, helping you grow from a beginner into a job-ready Software and AI Engineer.
Core Programming & Computer Science
This module builds a strong foundation in programming and computer science, starting with the basics of Python and moving toward writing clean, professional code. You’ll learn to think like a developer, use tools like Git, and connect your programs to real-world data. Along the way, you’ll start building useful, AI-powered apps and pick up habits that set you up for long-term success in tech.
AI Engineering
This module teaches you how modern AI tools work and how to build with them from day one. You’ll start by learning to use and prompt AI effectively, then move on to building smarter applications using LangChain, retrieval systems, and AI agents that can plan and act independently. By the end, you’ll have a real, working AI app that shows you can turn complex tech into something practical and valuable.
Is this Software & AI Engineering course for me? Yes, if:
You’re ready to break into tech but don’t know where to start.
You want to become a software engineer, AI engineer or AI product manager.
You’re motivated and can invest a minimum of 8–12 hours per week in studying.
You’re excited about learning Python, AI, and app development, but you’ve never coded before.
Already have 1+ year of programming experience?
You might be a better fit for our 3-4 months AI Engineering course.
Build a portfolio that proves your skills
The best way to learn data analytics is through hands-on experience with real data. That’s why you’ll complete 20 projects and one capstone project and build an interview-ready portfolio you can proudly show to potential employers.
Throughout the program, you’ll complete multiple hands-on projects and a final capstone project to showcase your skills to future employers.
You’ll walk away with an interview-ready portfolio that proves you can build real apps, work with AI models, and solve real-world problems.
While working on your capstone project, you will:
Design and build an AI-powered application from scratch.
Apply the tools you’ve learned — like Python, LangChain, and GPT models — to real-world use cases.
Present your final project 1-on-1 to an experienced industry mentor for feedback.
Example projects
Create a chatbot that answers customer questions using real company data.
Build an AI agent that automates a repetitive business task.
Develop a learning tool that adapts to the user’s skill level using AI.
Build an interactive web app using Streamlit or Next.js to display AI-generated content.
Praktische Projekte & Spezialisierungen
20 Real-Life-Projekte
Lerne, echte Geschäftsprobleme zu lösen und dein Portfolio zu füllen.
5 Spezialisierungen
Wähle aus Produkt-, Marketing-, Finanz-, Risk- oder Monetarisierungs-Analytics, um dich auf dein Wunschgebiet zu fokussieren.
Individuelles Capstone-Projekt
Stelle dein Können unter Beweis und erstelle eine End-to-End-Analyse – ideal für künftige Vorstellungsgespräche.
Learn from professionals
Our Senior Team Leads and mentors are experienced professionals who are 100% up-to-date with the industry trends and will provide you consultations, 1on1 project reviews, and feedback.
Flexible graduation: you set the pace
Die Kursdauer beträgt 3–4 Monate, abhängig davon, wie viel Zeit du investierst. Du kannst jedoch schneller fertig werden, wenn du intensiv lernst.
Mūsų studentai dirba
Kaip įstoti?
Paraiškos teikimo procesas susideda iš trijų dalių.
Paraiška
Užpildysi paraiškos formą ir pasidalinsi su mumis savo asmenine ir akademine patirtimi.
Vaizdo ar garso įrašas
Įrašysi savo atsakymus į kelis klausimų – jie padės mums įvertinti, ar programa tau tinka.
Interviu
Galiausiai turėsi pokalbį su mūsų priėmimo vadovu.
Priėmimo kriterijai
Pasižadėjimas skirti bent 9 tikslingas valandas per savaitę
Valandos bus tikslingos, jei:
- Naudosiesi kompiuteriu (ne išmaniuoju telefonu)
- Mokysiesi be trukdžių tam skirtoje erdvėje
- Būsi pailsėjęs, nepervargęs (ne po intensyvaus protinio darbo).
Aiški motyvacija
Turi būti stipriai motyvuotas prisijungti prie programos bei gebėti nurodyti konkrečius tikslus ir priežastis, kodėl nori tobulinti įgūdžius
Sklandi anglų kalba
Turi mokėti anglų kalbą ne žemesniu nei B2 lygiu.
Modernus kompiuteris
Tau reikės kompiuterio, kuriame gali laisvai diegti įrankius ir kuris turi aktyviai palaikomą bei atnaujinamą operacinę sistemą.
Lankstūs mokėjimo būdai
Pilnas mokestis
Už mokslą gali sumokėti iš anksto arba dalimis.
Stipendija
Skirta 5 % geriausies kandidatams iš ES, kurie atrankos metu parodo stiprią motyvaciją ir puikius rezultatus.
Vietų skaičius ribotas. Registruokis dabar!
Pradžios datos
Birželio 9 d.
Deadline for applications:
2025-06-02
Liepos 7 d.
Deadline for applications:
2025-06-30
Our graduates have achieved life changing growth. You can too.
Turing College's AI Engineering isn't just theory. It's hands-on building projects, getting them reviewed. After a decade away from daily coding, it was a great reminder that getting your hands dirty is key to distinguishing AI hype from practical applications.
Turing College changed my life forever! Studying at Turing College was one of the best things that happened to me.
Linda Oranya
Data scientist @ Metasite Data Insights
After the course, I was able to get into work and solve real business problems easily.
Ovidijus Kuzminas
ML engineer @ Oxus.AI
Turing College provides practical online education on my schedule. Thanks to that, I have changed my career without impacting time spent with my family.
Dominika Szulc
Junior ML Engineer @ Future Processing
The sole fact that I joined Digital Marketing program by Turing College was a contributing factor to me getting a job.
Justas Sadauskas
Account Manager @ Defined Chase
I have finished two universities, and studied in most of the major online platforms to get extra certificates. And Turing College is one of the most advanced place so far.
Ignas Lukosevicius
Junior Media Buyer @ Pulsetto
Turing College is for those who want to master data science.
Edvard Sivickij
Data Analyst @ Kilo Health
FAQ
Is this Software & AI Engineering course suitable for beginners?
Yes! This course is designed for complete beginners. You don’t need any prior coding or tech experience. We’ll teach you programming, app development, and AI step-by-step, starting from scratch.
What can I do after completing the Software & AI Engineering course?
After graduating, you’ll be ready to apply for entry-level roles such as software engineer, AI engineer, junior Python developer, backend developer, and LLM application developer.
You’ll have hands-on experience with real-world projects and a portfolio you can show to employers.
What does learning at Turing College look like? Are there live sessions or fixed schedules?
Learning at Turing College is self-paced and 100% online, which means you can fit your studies around your life, whether you’re working full-time, freelancing, or in between jobs. We recommend dedicating 8–12 hours per week to stay on track, although different rules may apply if you’re sponsored by a government with an educational voucher.
Once you join, you’ll get full access to our learning platform. This is where you’ll find everything you need — from text-based lessons and videos to project briefs and links to key resources — all available 24/7. The material is broken down into small parts called sprints. After each sprint, you’ll complete a practical project that helps you apply what you’ve learned and receive feedback from senior professionals.
While there are no live or recorded lectures, you won’t be learning alone. You’ll join our active Discord community, where you can connect with peers, ask questions, and get support. You can also participate in additional learning activities, including stand-ups and open sessions, to deepen your understanding and stay engaged.
What are the funding options?
We believe that financing should not be a blocker to knowledge. That’s why we offer several options. If you’re a resident of Germany, 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 are the funding options?
We offer several flexible payment options.
If you live in Germany, you may qualify for 100% government funding through Bildungsgutschein.
If you’re paying yourself, you can choose between a 17% discount for full upfront payment or a 4-month zero-interest installment plan.
Ką daryti, jei per 24 valandas nuo registracijos negavau informacijos iš Turing College?
Jei nuo registracijos praėjo daugiau nei 24 valandos ir negavai iš mūsų atsakymo, pabandyk štai ką:
Patikrink šlamšto ar reklamos aplankus. Kartais mūsų el. laiškai gali pasimesti, todėl pažiūrėk, ar mūsų žinutė per klaidą ten nepateko. Susisiek su mumis - jau esi mūsų svetainėje, tad spustelėk pokalbio mygtuką apatiniame dešiniajame ekrano kampe. Mūsų draugiška komanda visada pasiruošusi tau padėti ir pasirūpinti, kad tavo paraiška susilauktų deramo dėmesio.
What if I haven’t heard back after applying?
If you haven’t heard from us within 24 hours after submitting your application, please:
- Check your spam or promotions folder — our email may be there.
- Use the live chat on our website — our support team is ready to assist you.
Can I really become a software or AI engineer without a tech background?
Yes! Our course is designed to help beginners build real technical skills from the ground up.
You’ll get structured training, mentorship, and support to help you succeed, even if you’ve never coded before.
Do I need a university degree to work in tech after this course?
No, you don’t. Today, roles like Software Engineer and AI Developer focus on practical skills, not academic credentials.
While research-based positions often require a degree in mathematics or computer science, most tech jobs value your ability to build real applications.
Employers care far more about your skills and portfolio — and you’ll graduate from our program with both.
What tools and technologies will I learn?
You’ll get hands-on experience with:
- Programming: Python, basic JavaScript (optional for web apps)
- AI development: LangChain, LangGraph, Retrieval-Augmented Generation (RAG)
- Large language models: OpenAI GPT, Google Gemini, Meta Llama, Anthropic Claude
- App-building tools: Streamlit, Next.js
- Databases: Vector databases (like ChromaDB)
Prompt engineering and AI integration best practices.