Data Science & AI Bootcamp
Learn Data Science & AI online with Python, SQL, and ML. Build models for computer vision and NLP, and develop portfolio-ready skills in 12 weeks full-time (or 24 weeks part-time). Live sessions typically follow Central European Time (CET/CEST), aligned with mainland Spain.
What you’ll Learn
Coaching you through a carefully curated curriculum designed to take you from ‘just curious’ to confidently capable in Data Science & AI in as few as 12 weeks (full 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 have become some of the most in-demand skill sets in recent years. This field involves working with data, cleaning it, evaluating it, and developing machine learning models to predict outcomes. In this chapter, we will 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, 09:30–15:30 (CET/CEST)
Lecture Session
09:30 - 11:00
Lecture Session
11:30 - 13:00
Hands-on Session
14:00 - 15:30
Our Methodology
Online Live Learning
- Elevate your learning experience with interactive online live sessions (CET/CEST), where you’ll engage directly with instructors and peers in real-time—supporting collaboration and rapid skill development for learners in Spain.
Self Study
- Part Time: 9 hours live learning, 11 hours of self study, total 20 hours per week
- Full Time: 22.5 hours live learning, 17.5 hours of self study, total 40 hours per week
Flipped Classroom Method
- Experience a dynamic learning approach with our flipped classroom method, empowering you to learn actively and engage deeply in our bootcamp curriculum.
Guided Practice
- Engage in an immersive learning experience at our bootcamp, where we focus on active participation, hands-on exercises, and portfolio building to ensure a solid foundation to your knowledge.
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 prior qualifications in computer science or programming to join our bootcamp. We’ll guide you through the foundations early on, helping you build confidence step by step. Whether you're new to data work or looking to upskill into Data Science & AI, the program 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 and basic algorithmic thinking to follow the course 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 & Skills Workshops
Short, practical sessions open to learners and the wider CLA community. Get hands-on guidance on topics like portfolio storytelling, LinkedIn improvements, and preparing for tech interviews—plus drop-in support for last-minute CV polishing.
1:1 Career Coaching (Personalised)
Structured, supportive sessions to clarify your direction and build a plan—whether you’re aiming for a first tech role, an internal move, a promotion, or a stronger skill set for your current job.
Mock Interviews & Hiring Practice
Practise both behavioural and role-specific questions, learn how to structure your answers, highlight evidence from projects, and approach salary conversations with realistic expectations for Spain and remote EU roles.
CV & Cover Letter Reviews
Get actionable feedback tailored to your target roles. We help you refine your CV, strengthen impact statements, and write cover letters that sound human (and relevant) rather than generic.
Opportunities Round-Up (Jobs & Internships)
A curated selection of junior roles, internships, and upskilling-friendly opportunities, plus guidance on how to apply efficiently and track your progress without burning out.
Career Resources Library
Ongoing access to templates, checklists, exercises, and industry resources—covering everything from CV structure to networking scripts and interview prep.
Professional Guidance & Networking Sessions
Connect with practitioners and hiring-facing professionals to understand how teams work, what skills matter today, and how to network comfortably—especially if you’re new to the tech community in Spain.
Alumni Community & Peer Network
Stay connected after graduation. Share job leads, tools, articles, and events—and keep learning through discussions with alumni who’ve been in your shoes.
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.