What you’ll learn
Guiding you through a carefully curated curriculum that helps you build practical Data Science & AI skills, from analytics to machine learning, 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.

Chapter 0: Pre-Work
Data Science & AI are among the most in-demand skill sets today. They involve working with data, exploring it, and building machine learning models to help answer questions and predict outcomes. In this chapter, we cover the foundations 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 10:30–16:30 (EET/EEST)
Lecture session
10:30 - 12:00
Lecture session
12:30 - 14:00
Hands-on session
15:00 - 16:30
Our methodology
Online live learning
- Learn through interactive online live sessions where you engage directly with instructors and peers in real time. Live classes are scheduled to work well in Finland (EET/EEST), supporting collaboration, feedback, 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
- Prepare with guided materials before class, then use live sessions for practice, discussion, and feedback.
Guided practice
- Build your skills through hands-on exercises, supportive coaching, and portfolio-building projects to turn learning into practice.
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 computer science background to join. We guide you through the essentials and help you build a strong foundation from the start. If you’re upskilling in Finland, whether alongside work or studies, be ready to practise regularly during pre-work and throughout the bootcamp to get the most out of the programme.
- 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 Center
Career development workshops
Open sessions for you and the wider CLA community. Get a feel for our Career Services, meet our advisors, and drop in for practical guidance, like last-minute CV polishing or LinkedIn updates.
1:1 career counselling sessions
Structured, supportive sessions to clarify your goals and build a plan, whether you’re aiming to grow in your current role, transition to a more technical position, or explore new opportunities.
Mock interviews
Practise common behavioural and competency questions. Learn how to highlight your strengths, communicate impact, and handle salary and expectation conversations with confidence.
CV & cover letter reviews
Get personalised feedback on your CV and cover letter, tailored to help you stand out, especially when applying for roles in Finland and across the EU.
Job and internship round-up
A curated selection of new opportunities shared by our career specialists, helpful for learners looking for junior roles, internships, or entry points into tech-enabled teams.
Career resources platform access
Access career materials, assignments, templates, and tech industry resources via our learning platform, so you can keep improving even after the bootcamp.
Professional guidance & networking events
Meet tech professionals for real-world insights and career advice, and expand your network through community events and Career Chats.
Alumni networking
Stay connected with classmates and CLA alumni to share resources, discuss industry topics, and exchange job leads and learning recommendations.
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
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 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 ...

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 ...

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 ...

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.

"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 ...

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.

One 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.

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 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 ...

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 ...

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 ...

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!

I 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 ...

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 ...

I'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.

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.

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 ...

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 ...

The 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 ...

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 ...

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 ...

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.




