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Data Science & AI Course.

This program takes you from Python fundamentals to building real AI applications, with a full data science and machine learning skill set employers actually look for. You'll learn to clean and explore data, then move into classic machine learning (supervised and unsupervised methods, SVMs, random forests) before tackling deep learning: neural networks, CNNs, autoencoders, and data augmentation. The curriculum also covers natural language processing, model deployment, and MLOps, so you understand not just how to build models but how to ship them. You'll finish with a portfolio of real projects and the practical skills to compete in the data science and AI 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 Building

Turn learning into proof. You’ll complete hands-on projects based on real scenarios, so you finish with a portfolio that demonstrates your skills—not just what you’ve read or watched.

Mentor Support & Feedback

Don’t learn in isolation. Get practical feedback from industry professionals, guidance when you’re stuck, and clear next steps so you can improve faster and with more confidence.

A Clear Learning Roadmap

Know what you’re doing and why it matters. Each course follows a structured roadmap with milestones and deliverables, so your time stays focused on skills that translate into real outcomes.

Google reviews
4.9/5 · 42 reviews
Course Report reviews
4.97/5 · 33 reviews
Switchup reviews
5.0/5 · 26 reviews

What you’ll Learn

Go from curious about data science to fully certified in as few as 12 weeks full time, guided through a curriculum built specifically for that path.


Career Counselling & Preparation

Your learning is only part of the journey. We support you in turning new skills into a strong profile—through portfolio feedback, interview preparation, and practical guidance for Italy-based and international hiring processes.



Ready to Level Up Your Skills?

Start with a course that fits your schedule, build real projects, and grow your tech toolkit—whether you’re aiming for a new role or simply upgrading what you can do.

Frequently Asked Questions