Data Science & AI on‑demand course

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

Upgrade your analytics and AI skillset with project-based learning you can do on your schedule. You’ll work with Python and SQL, explore data preparation and visualization, and build classic machine learning models (supervised & unsupervised, SVMs, random forests) before progressing into deep learning (neural networks, CNNs, autoencoders, data augmentation) and Natural Language Processing. Finish with practical projects and a portfolio that demonstrates real capability—not just theory.

What you’ll learn & build

A hands-on Data Science & AI curriculum covering analytics, classical ML, deep learning, computer vision, NLP, and deployment—so you can move from “I get the basics” to building models and sharing results with a portfolio of work in 12 weeks full-time or 24 weeks part-time.

Foundations

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

Analytics workflow

Data preparation, exploratory analysis, visualisation, and feature engineering

Classical machine learning

Supervised and unsupervised learning, model evaluation, pipelines, and tuning

Deep learning & applied AI

Neural networks, CNNs, TensorFlow/Keras, plus practical projects in vision and NLP

Natural language processing

Text processing, embeddings, RNN/LSTM, attention, transformers, and chatbot building

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What you’ll need

You don’t need a formal degree to join. We’ll guide you through the essentials and use pre-work to build confidence with the tools you’ll rely on. This program is a good fit if you’re upskilling toward data-focused work or adding AI capabilities to your current role.

Laptop or computer: A reliable laptop or desktop computer with enough power to run data tools and notebooks comfortably.
Stable internet connection: Reliable internet access for live sessions, assignments, and collaborative work.
Basic computer literacy: Comfort navigating an operating system, using productivity tools, and working online.
Basic programming & algorithms awareness: Some familiarity with programming concepts helps. If you’re new, we’ll use pre-work to get you ready to follow comfortably.
English proficiency: B1 level or higher—the bootcamp is taught in English.
Commitment to learning: A proactive attitude toward practising coding and working through exercises between live sessions.

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.

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.

Finance your studies at Code Labs Academy

Flexible payment options

Make learning workable for your budget. Start with a base rate and unlock group discounts when you join with colleagues or friends. You can also explore instalment plans and, depending on your situation in Poland, potential employer sponsorship or public upskilling support (eligibility varies by program and provider).

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.