What you’ll learn
Guiding you through a carefully curated curriculum designed to take you from ‘just curious’ to confident in Data Science & AI—building practical projects in as few as 12 weeks (full-time) or 24 weeks (part-time).
Foundation
SQL, Python, Jupyter Notebook, Git and GitHub, Linear Algebra, Probabilities and Statistics.
Data Analytics
Data Analysis, Data Preparation, Data Visualization and Data Exploration.
Classic Machine Learning
Machine Learning, Supervised and Unsupervised learning, ML model enhancement, Naive Bayes, SVM, Random Forests, ML Pipelines and Classification.
Deep Learning
Neural Networks (implementation, troubleshooting & optimisation), CNN Architectures, Autoencoder Architecture, Data Augmentation, Tensorflow, Keras and Scikit-Learn.
Natural Language Processing
Text coding for NLP, Recurrent Neural Networks (RNN), LSTM, Attention Mechanisms, Transformer Model and chatbot building.
Our methodology
Online Live Learning
- From anywhere in Austria, elevate your learning experience with interactive live online sessions (CET/CEST-friendly), where you’ll engage directly with instructors and peers in real time—supporting collaboration and rapid skill development.
Self-study
- Part-time: 9 hours live learning + 11 hours self-study (20 hours/week)
- Full-time: 22.5 hours live learning + 17.5 hours self-study (40 hours/week)
Flipped Classroom Method
- Experience a dynamic learning approach with our flipped classroom method, empowering you to learn actively and engage deeply with the bootcamp curriculum.
Guided Practice
- Engage in an immersive learning experience where we focus on active participation, hands-on exercises, and portfolio-building to help you apply what you learn with confidence.
Prefer to learn at your own pace?
Learn with our On-demand Data Science & AI course at your own pace with complete flexibility through our immersive, self-paced program. Master how to transform raw data into powerful insights, train intelligent models, and build real-world AI applications and graduate ready to launch your career in the world of data-driven innovation.
What you’ll need
You don’t need any formal qualifications in computer science to join our bootcamp. We’ll guide you through the essentials and help you build a strong foundation from the ground up. Some basic familiarity with programming and maths is helpful for following along comfortably (see requirements below). Whether you’re new to the field or upskilling for your current role, our programme is designed to help you progress quickly and confidently.
- Laptop or Computer: A reliable laptop or desktop computer with sufficient processing power and capable of running necessary programs.
- Stable Internet Connection: Reliable internet access for live learning sessions, hands-on labs, and assignments.
- Basic Computer Literacy: Ability to navigate operating systems, productivity software, and internet browsers.
- Basic Knowledge in Algorithmics and Programming: Familiarity with programming concepts to follow the courses comfortably.
- English Proficiency: B1 level with the ability to understand technical materials and communicate effectively, as the bootcamp is conducted in English.
- Commitment to Learning: A proactive attitude toward learning and practicing coding, especially during the pre-unit to establish a solid foundation for continuing in the bootcamp.
Career Services Centre
Career development workshops
Practical sessions for you and the wider CLA community. Get a taste of what our Career Services Centre offers, meet our careers advisor, and drop in for last-minute CV and LinkedIn polish.
Personalised career counselling sessions
Structured 1:1 sessions to clarify your goals and create an action plan—whether you’re aiming for a new role, more responsibility in your current job, or simply stronger digital skills.
Mock interviews
Practise common interview questions and learn how to highlight your strengths, talk about projects confidently, and handle topics like salary expectations and role fit.
CV & cover letter reviews
Get actionable feedback tailored to your target roles and the Austrian (and wider EU) job market—so your application stands out and gets noticed.
Job and internship round-up
A curated selection of opportunities shared by our career specialists—focused on junior and entry-level roles, internships, and roles that value transferable skills.
Career resources platform access
Access career materials, assignments, templates, and tech industry resources through our learning platform.
Professional guidance & networking events
Meet tech professionals, get practical advice, and connect with others in Career Chat sessions—great for learning about roles, teams, and day-to-day work in tech.
Alumni networking
Stay connected with your cohort and the wider CLA alumni community to share resources, discuss trends, and exchange opportunities.
Why Choose Code Labs Academy?
1-to-1 Career Coaching
Personalised support from career specialists: CV and LinkedIn refresh, mock interviews, and a tech-focused job-search strategy.
Portfolio-Ready Projects
Graduate with a GitHub-ready portfolio of real-world projects—built in class and polished with mentor feedback.
Industry-Driven Curriculum
Curriculum refreshed every quarter to match current hiring needs in AI, cybersecurity, and web development.
Recognised Certificate
Showcase your AZAV-accredited Code Labs Academy certificate on LinkedIn, your CV, and visa applications.