Data Science & AI.

Launch your career in data science and artificial intelligence with hands-on, industry-ready experience. In this immersive program, you’ll learn how to turn raw data into powerful insights, train intelligent models, and build real-world AI applications. Gain experience in data analytics, preparing and visualizing data, classic machine learning (supervised & unsupervised learning, SVMs, random forests), deep learning architectures (including neural networks, CNNs, autoencoders, and data augmentation)and Natural Language Processing. Graduate with a professional portfolio and the practical expertise to stand out in the rapidly growing AI and data-driven job market.

Level

Beginner

Duration

120 Hours

Format

Self-Paced

Certification

Included

Data Science and AI using Python with charts

Why learn with Code Labs Academy?

Portfolio you can actually use

Build proof of skill as you learn. Each course includes projects inspired by real work scenarios, so you finish with practical case studies you can share on LinkedIn, GitHub, or in interviews.

Mentor support when you need it

Get guidance from experienced professionals, not generic feedback. Mentors help you unblock faster, improve the quality of your work, and understand the “why” behind best practices.

Clear path, measurable progress

No guesswork. Follow a structured roadmap with milestones, deliverables, and skills checkpoints—so you always know what to focus on next and how it connects to your goals.

Google reviews
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Switchup reviews
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What you’ll Learn

Coaching you through an especially curated curriculum designed to take you from ‘just curious’ to ‘fully certified’ in data science in as few as 12 weeks (full time).


Career support for your next step

Upskilling is easier when you can translate new knowledge into real outcomes. We support you with practical guidance—from portfolio positioning and interview practice to defining a realistic job-search strategy that fits your situation in Poland and beyond.



Ready to start learning?

Pick a course, set your pace, and begin building skills you can use immediately—at work, in side projects, or in your next role.

Frequently Asked Questions