Data Science & AI on-demand course

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

Learn how to turn raw data into insights and build practical AI solutions. You’ll work with data analytics, data preparation and visualisation, classic machine learning (supervised & unsupervised learning, SVMs, random forests), deep learning (including neural networks, CNNs, autoencoders, and data augmentation), and Natural Language Processing. Finish with a portfolio that demonstrates your skills in real-world scenarios.

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).

Foundation

SQL, Python, Jupyter Notebook, Git and GitHub, linear algebra, probability and statistics

Data analytics

Data analysis, preparation, visualisation and exploration

Classical machine learning

Supervised and unsupervised learning, model improvement, Naive Bayes, SVM, random forests, ML pipelines and classification

Deep learning

Neural networks (implementation, troubleshooting & optimisation), CNNs, autoencoders, data augmentation, TensorFlow, Keras and scikit-learn

Natural language processing

Text processing for NLP, RNNs, LSTMs, attention, transformers, and chatbot building

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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.

Why learn with Code Labs Academy?

Portfolio building

Show your skills with real outcomes. Throughout your course, you’ll complete hands-on projects based on real-world scenarios. By the end, you’ll have a professional portfolio that demonstrates your skills and the way you work.

Mentor support

Learn with guidance from industry professionals. You’ll receive feedback on your projects, help when you get stuck, and practical insights that support steady progress and confidence.

Clear learning roadmap

Follow a structured path designed for progress. Each course includes clear learning objectives, skill milestones, and project deliverables — so you always know what’s next and why it matters.

Career guidance & interview preparation

Want extra support beyond the course? We can help you present your new skills with portfolio feedback, interview practice, and tailored guidance — whether you’re aiming for a new role or growing in your current one.

Finance your studies at Code Labs Academy

Flexible ways to pay

Learning is easier to start when the cost is manageable. If you’re joining with colleagues or friends, group pricing can reduce the cost per learner. You can also explore discounts and payment plans to make your studies more affordable in Sweden.

Ready to level up your skills?

Start building practical tech skills at your own pace — and apply what you learn right away.