What you’ll learn
We’ll guide you through a carefully curated curriculum designed to take you from ‘curious’ to confident in Data Science & AI in as little as 12 weeks (full-time) or 24 weeks (part-time).
Master Data Analytics & Preparation
Build a strong foundation in data analytics: acquire, explore, clean, and prepare real-world datasets. Using Pandas, you'll handle missing values, outliers, imbalanced data, and categorical features, apply statistical analysis, and create visualisations to turn raw data into analysis-ready datasets.
Build Intelligent Machine Learning Models
Learn the complete ML workflow, from dataset preparation to training, evaluating, and optimising predictive models. You'll implement supervised and unsupervised algorithms, compare them using industry-standard metrics, and boost accuracy through cross-validation, hyperparameter tuning, and model selection.
Develop Deep Learning & AI Solutions
Discover how modern neural networks power AI. Starting from the fundamentals of artificial neural networks, you'll build deep learning models in PyTorch while exploring optimisation, regularisation, data augmentation, explainable AI, and generative models — the practical skills for advanced AI applications.
Specialise in Computer Vision & Natural Language Processing
Explore two of AI's most impactful fields. You'll build convolutional neural networks (CNNs) for image classification, object detection, and segmentation, and learn NLP techniques including embeddings, recurrent neural networks, transformers, and attention mechanisms for text-based AI systems.
Build Modern AI & Large Language Model Applications
Go beyond traditional ML to build LLM-powered applications. You'll explore prompt engineering, LangChain, Retrieval-Augmented Generation (RAG), and real-world AI workflows to create intelligent assistants, knowledge retrieval systems, and production-ready generative AI applications.
Deploy, Monitor & Scale AI Systems
Take ML models from development to production. You'll deploy with FastAPI, Docker, and cloud solutions, scale using Ray, and monitor models with MLflow — plus security, privacy, and best practices for reliable AI systems in real-world environments.
Chapter 0: Pre-work
Data science has been one of the most in-demand careers in recent years. It involves handling data, cleaning it, evaluating it, and developing machine learning models to predict outcomes of events. Due to the field's complexity, mastering it necessitates a thorough understanding of a wide range of tools and methods, including Python, environments, databases, math, and linear algebra. In this chapter, we will cover the foundations of data science to get you ready to begin your learning journey.
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
- This project is about solving the 'Curve fitting' problem, which involves finding the best curve equation to fit a given dataset. It will guide you through an example of this problem and is divided into sections, where each section will exercise the use of fundamental concepts such as OOP, SQL, Linear Algebra, and the final Machine learning workflow.
Learning schedule
Monday to Friday, 09:30–15:30 (Stockholm time, CET/CEST)
Lecture session
09:30–11:00
Lecture session
11:30–13:00
Hands-on session
14:00–15:30
How you’ll learn
Live online learning
- Learn through interactive live sessions where you engage directly with instructors and peers in real time, supporting collaboration, feedback, and faster skill development.
Self-study
- Part-time: 9 hours live learning + 11 hours self-study = 20 hours per week
- Full-time: 22.5 hours live learning + 17.5 hours self-study = 40 hours per week
Flipped classroom
- Use a flipped classroom approach: prepare with guided material, then use live time to practise, ask questions, and deepen understanding.
Guided practice
- Build skills through hands-on exercises and portfolio projects, supported by instructors and structured feedback so you keep progressing.
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 prior qualifications to join. We assume no prior knowledge and guide you through the essentials early on, helping you build a strong foundation from the ground up. Whether you’re exploring data for the first time or upskilling for more analytical work, the programme is designed to get you progressing quickly and confidently.
- Laptop or computer: A reliable laptop or desktop computer with sufficient processing power, capable of running the required tools.
- 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 algorithms and programming: Some familiarity with programming concepts helps you follow the course more comfortably.
- English proficiency: B1 level (or equivalent) 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 practising, especially during pre-work to establish a solid foundation.
Career services centre
Career development workshops
Open sessions for you and the wider CLA community. Get a feel for our Career Services Centre, meet our career advisors, and drop in for quick CV/LinkedIn polish or practical job-search tips.
1:1 career coaching sessions
Structured, personalised sessions to clarify your goals and build an action plan, whether you’re aiming for a new role, internal progression, or stronger technical responsibilities.
Mock interviews
Practise common interview questions and learn how to communicate impact, highlight your strengths, handle technical and behavioural interviews, and navigate salary discussions with confidence.
CV and cover letter reviews
Get tailored feedback on your CV and cover letter to help recruiters understand your skills, projects, and value, aligned to the roles you’re targeting.
Job and internship round-up
Curated opportunities, platforms, and search strategies to help you find roles that match your level, whether you’re applying for junior positions, internships, or upskilling-friendly roles.
Career resources platform access
Access to career materials, assignments, templates, and tech industry resources, so you can keep improving your profile and approach over time.
Professional guidance and networking events
Meet professionals, ask questions, and learn from real industry experiences. Get guidance and connect with others through structured career chats and community events.
Alumni networking
Stay connected with classmates and alumni to share resources, discuss industry topics, and help one another spot relevant 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.
Frequently asked questions
What our graduates say
As a part of the web development bootcamp, I must say that It went beyond my expectations. The bootcamp is indeed interactive, fun, and informative. I learned a lot of things thanks to my mentors and to everyone working behind the scenes. I would hig ...
The cyber security bootcamp I attended in 2022 taught me the foundational understanding and skills required for me to pivot to a career in IT. My instructor was knowledgeable, patient and always willing to help. Before the end of my course I receiv ...
The balance between theory and practice is perfect, you get a chance to apply what you learn in homework and real projects that are reviewed by the TAs. I recommend this bootcamp to anyone who wants to start their career in Data Science.
The teachers are great, tolerant, motivated and cheerful. The learning process is smooth and fun, you have the space to ask your questions and also participate. But the most important thing is that they prepare you for the practical world by realisin ...
The teachers and mentors are wonderful, at least the one I had. Moe taught me more than all my teachers in my whole life. He makes things clear and always encourages you to keep going despite all the challenges.
Learning everything about programming and data in a short period of time is 100 percent guaranteed, the teachers are very free with student and are willing to help no matter the day or time and also all projects made can be presented in job applicati ...
Without a tech background, after just a few months I am now able not only to understand complex machine or deep learning models, but also to design them myself. If you are looking for a career change in the tech industry, motivated and have some time ...
"I liked everything how it was and definitely will recommend CLA for my friends if they ask.I truly appreciated the hands-on, practical approach to learning. The bootcamp’s structure allowed me to engage with real-world cyber security scenarios, whic ...
ArtemOne of the best ways to learn Data Science and Machine Learning, excellent teachers who always help you understand and give you more ideas and examples. If you want to know more about ML, CLA is the best place.
I'm always looking for new opportunities to learn the latest technologies in Data Science, and the quality of Code Labs Academy's content exceeded my expectations. If you're passionate about technology and willing to put in the effort, this bootcamp ...
I already knew about CLA through posts on LinkedIn and reading user reviews. When I saw the bootcamp curriculum, I thought it would be essential for my career advancement. I like the exercises we do together and the examples that are presented. The a ...
AlexandreI wanted to express my sincere gratitude for the incredible experience I had at your bootcamp. It was not only super helpful but also incredibly fun. I learned a tremendous amount during my time there and wanted to share my thoughts with you. First a ...
CLA guided me to become the front-end developer that I planned to be. Literally they took me from zero to hero in their bootcamp. Keep up the good work you offer!
After completing my master's degree in data analytics, I endeavoured to further my knowledge in the field with the goal of pursuing a career in either data science or analysis. However, I encountered difficulties finding answers to my questions, so I ...
The Code Labs Academy web development course was very impressive, it was one of the best experiences I have had in my life. I highly recommend attending this bootcamp where you not only learn web development, but also get career advice and be ready t ...
As for the best part and most memorable experience, it's hard to pinpoint just one. However, I would say that the most memorable aspect of the CLA bootcamp is the sense of accomplishment and pride that comes with completing the program, especially th ...
MikhailI've never regretted choosing CLA to learn UI/UX. While I had some doubts before starting, I quickly realized that CLA would help me enhance my existing skills and acquire new ones that are incredibly valuable for my career.
I really enjoyed the full-time web development bootcamp. The teachers were knowledgeable and always took the time to answer all my questions. The content of the course covers the most needed skills to start in the web development industry. I recommen ...
It’s an online boot camp with asynchronous courses that can match any student all over the world. I appreciate the fact that it comes with a certificate at the end upon successful completion. To sum up, this bootcamp is all in one, you learn and mas ...
The cyber security bootcamp was a rapid journey of discovery. I soaked up vast amounts of knowledge and feel ready to take the next step on my new career path.
MauriceThe CLA bootcamp was a fantastic experience that had a significant impact on me. The live sessions were engaging and enjoyable, and I was always motivated to practice what I learned. The instructors were incredibly helpful and supportive throughout t ...
Learning in a small group with a very friendly and understanding instructor. I had a lot of fun, got an insight into areas that were completely new to me, learned a lot and in the end achieved exactly what I wanted.
LarsAs a graduate of the CLA Cybersecurity bootcamp, what I appreciated the most was the quality of the instructors. They were incredibly attentive and highly knowledgeable about the subject. The hands-on practices were not only interesting but also allo ...
Luiz