What you’ll learn
A project-based curriculum that takes you from foundations to applied machine learning and deep learning in 12 weeks (full-time) or 24 weeks (part-time).
Foundation
SQL, Python, Jupyter Notebook, Git/GitHub, linear algebra, probability, and statistics
Data Analytics
Data analysis, preparation, visualisation, and exploration
Classic Machine Learning
Supervised & unsupervised learning, model improvement, pipelines, and classification
Deep Learning
Neural networks, CNN architectures, autoencoders, TensorFlow/Keras, and optimisation techniques
Natural Language Processing
Text processing for NLP, RNN/LSTM, attention mechanisms, transformers, and chatbot building
Chapter 0: Pre-Work
Data science has been one of the most prestigious careers in recent years. It involves handling data, cleaning it, evaluating it, and developing machine learning models to predict outcomes of events. 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 (Lisbon time)
Monday to Friday, 09:30–15:30
Live class
09:30–11:00
Live class
11:30–13:00
Guided practice
14:00–15:30
How you’ll learn
Live online classes
- Join interactive live sessions led by expert instructors. You can ask questions in real time, collaborate with peers, and get feedback as you practise — with timetables that work well for Portugal (Lisbon time).
Structured self-study
- Part-time: 9 hours live classes + ~11 hours self-study (20 hours/week)
- Full-time: 22.5 hours live classes + ~17.5 hours self-study (40 hours/week)
Flipped classroom
- Review key concepts before class, then use live time for problem-solving, hands-on practice, and instructor feedback — so you learn by doing.
Guided practice & portfolio work
- Apply what you learn through labs and projects. You’ll build a portfolio of work and develop the confidence to use your new skills in real scenarios.
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 computer science degree to join. We cover the foundations and guide you through the early weeks. A basic comfort with programming concepts is helpful for Data Science & AI — and our pre-work is designed to bring motivated beginners up to speed. This bootcamp is a strong fit for learners in Portugal who want practical, job-relevant AI and data skills.
- 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.
- Comfort with basic programming concepts: A basic familiarity with programming and algorithmic thinking helps you follow the lessons comfortably. The pre-work is designed to get you ready, even if you’re starting from scratch.
- 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 practising, especially during the pre-work, to build a strong foundation for the bootcamp.
Career Services Center
Career Development Workshops
Open sessions for CLA learners and the wider community. Get practical guidance on topics like job-search strategy, portfolio storytelling, and last-minute CV improvements — with space for questions and real examples.
Personalised 1:1 Career Coaching
Structured sessions to clarify your goals and build a realistic plan — whether you’re upskilling for your current role, targeting junior tech roles, or aiming for more responsibility within your team. We’ll help you define your next steps and stay accountable.
Mock Interviews
Practise behavioural and technical interview questions in a supportive setting. Learn how to communicate your strengths, present projects clearly, handle common curveballs, and navigate salary expectations in a way that makes sense for Portugal and international roles.
CV & Cover Letter Reviews
Get tailored feedback on your CV and cover letters — including how to position projects, highlight transferable skills, and optimise for applicant tracking systems. We can also advise on common expectations for Portugal-based hiring versus international applications.
Job & Internship Round-Up
A curated selection of opportunities shared by our career specialists — focused on realistic entry-level and junior-friendly roles, plus internships and project-based opportunities where available.
Career Resources Platform Access
Access templates, exercises, job-search checklists, and tech industry resources on our learning platform — so you can keep building momentum throughout the bootcamp and after graduation.
Professional Guidance & Networking Events
Join sessions with people working in tech to learn what teams look for and how roles work in practice. Take part in Career Chats and networking events designed to help you connect with others — including learners and professionals linked to Portugal’s tech ecosystem.
Alumni Networking
Stay connected after graduation. Share resources, ask questions, exchange feedback, and keep an eye on opportunities with classmates and CLA alumni — a community that’s valuable whether you’re in Portugal or working remotely across borders.
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.