What you’ll learn & build
A hands-on Data Science & AI curriculum covering analytics, classical ML, deep learning, computer vision, NLP, and deployment—so you can move from “I get the basics” to building models and sharing results with a portfolio of work in 12 weeks full-time or 24 weeks part-time.
Foundations
SQL, Python, Jupyter, Git/GitHub, linear algebra, probability, and statistics
Analytics workflow
Data preparation, exploratory analysis, visualisation, and feature engineering
Classical machine learning
Supervised and unsupervised learning, model evaluation, pipelines, and tuning
Deep learning & applied AI
Neural networks, CNNs, TensorFlow/Keras, plus practical projects in vision and NLP
Natural language processing
Text processing, embeddings, RNN/LSTM, attention, transformers, and chatbot building
Chapter 0: Pre-Work
Data Science & AI combines programming, statistics, and modelling to turn data into real insights. In pre-work, you’ll build the foundations you’ll rely on later: Python, SQL, linear algebra, and Git—so you’re ready to move quickly once live classes start.
Introduction to Python
- Python language and history
- The basics of Python
- Fundamental data structures in Python
- Classes and objects
- Modules and packages
- Input/Output
- Errors and exceptions
Environments
- Python environments
- Anaconda
- Jupyter notebooks
SQL and Databases
- SQL fundamentals
- SQL queries
Linear Algebra
- Scalars and vectors
- Matrices
- Norms
Git and GitHub
- Introduction to version control
- Workflow
- Inspecting repositories
- Undoing changes
- Fetching and pulling changes
- Pushing changes
Project: Curve Fitting
- You’ll work through a curve-fitting problem: choose a model that best matches a dataset, then implement a complete workflow. Along the way, you’ll practise OOP, SQL, linear algebra, and the fundamentals of machine learning pipelines.
Learning schedule (CET/CEST)
Monday–Friday · 09:30–15:30
Live class
09:30–11:00
Live class
11:30–13:00
Hands-on session
14:00–15:30
How you’ll learn
Live online learning
- Join instructor-led sessions in real time, ask questions, and collaborate with peers—delivered online and aligned to CET/CEST for learners in Poland.
Self-study (structured)
- 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 approach
- You’ll review materials before class, then use live sessions for practice, discussion, and feedback—so learning time is active, not passive.
Guided practice & portfolio work
- Every program is built around hands-on exercises and projects. You’ll practise skills as you learn them and graduate with portfolio-ready work you can show (internally at work or to employers).
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 a formal degree to join. We’ll guide you through the essentials and use pre-work to build confidence with the tools you’ll rely on. This program is a good fit if you’re upskilling toward data-focused work or adding AI capabilities to your current role.
- Laptop or computer: A reliable laptop or desktop computer with enough power to run data tools and notebooks comfortably.
- Stable internet connection: Reliable internet access for live sessions, assignments, and collaborative work.
- Basic computer literacy: Comfort navigating an operating system, using productivity tools, and working online.
- Basic programming & algorithms awareness: Some familiarity with programming concepts helps. If you’re new, we’ll use pre-work to get you ready to follow comfortably.
- English proficiency: B1 level or higher—the bootcamp is taught in English.
- Commitment to learning: A proactive attitude toward practising coding and working through exercises between live sessions.
Career Services Center
Career development workshops
Short sessions open to learners and the wider CLA community. Get practical guidance, meet our career advisors, and drop in for last-minute CV improvements or LinkedIn tweaks.
1:1 career & growth sessions
Structured conversations to clarify your direction and build a plan. Useful for upskilling goals (new responsibilities, internal mobility) as well as external job searches.
Mock interviews
Practise common interview formats—from behavioural questions to role-specific scenarios. Learn how to highlight impact, communicate trade-offs, and handle salary conversations with confidence.
CV & cover letter reviews
Get tailored recommendations that help recruiters (and hiring managers) understand your strengths quickly—plus suggestions to make your story sharper for the Polish and EU job market.
Job & internship round-up
A curated view of entry-level and junior-friendly opportunities, plus roles suitable for upskilling-driven transitions (e.g., internal moves or hybrid skill sets).
Career resources access
Use our platform materials: templates, exercises, portfolio guidance, and curated tech industry resources you can keep revisiting while you grow.
Professional guidance & networking events
Join live sessions with tech professionals for practical advice, industry insights, and networking—helpful whether you’re applying now or planning your next move over the next 6–12 months.
Alumni network
Stay connected with classmates and alumni, share openings and learning resources, and keep the momentum going after the bootcamp ends.
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.