Data Science & AI On-demand course

Name: Data Science & AI On-demand course
Price: 999 EUR
Rating: 5.0 (11 reviews)

Build practical Data Science & AI skills you can apply immediately—at your pace. You’ll move from data wrangling and visualisation to classic machine learning (supervised and unsupervised approaches, including SVMs and random forests), then step into deep learning (neural networks, CNNs, autoencoders, and data augmentation) and Natural Language Processing. Along the way, you’ll deliver portfolio projects that demonstrate how you turn raw data into insights and working models.

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.

(4.9/5)

(4.97/5)

(5.0/5)

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.

Why Learn with Code Labs Academy?

Portfolio-First Projects

Turn learning into proof. You’ll build practical projects based on real scenarios, so you finish with work you can show—case studies, apps, analyses, or security labs that demonstrate your skills clearly.

Mentor Feedback That Moves You Forward

Don’t get stuck in a loop of “I think it’s right.” Get targeted feedback from industry professionals, improve faster, and develop stronger habits in how you build, test, and present your work.

A Clear Roadmap (No Guesswork)

Each course is organised around milestones, outcomes, and deliverables—so you always know what you’re learning, why it matters, and how it connects to the projects you’re building.

Career Counselling & Preparation

Learning the skills is step one—using them well is what comes next. We support you with portfolio guidance, interview practice, and practical advice so you can present your new capabilities with confidence (whether you’re aiming for a new role or levelling up where you are).

Finance your studies at Code Labs Academy

Flexible Financing Options

We want self-paced learning to stay accessible for learners in Spain. Start with a clear base price, unlock group discounts when you enrol with others, and explore additional payment plans or instalment options where available.

Ready to Level Up Your Skills?

Start now, learn at your pace, and build something real. Join a community of learners and turn your next weeks of study into work you can be proud to share.