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

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 realistic scenarios. By the end, you’ll have a professional portfolio that demonstrates what you can do, not just what you’ve studied.
Live Mentorship
Learn directly from industry professionals who guide you along the way. Live mentorship means personalised feedback on your projects, support when you get stuck, and practical insights that help you build confidence as you develop new skills.
Learning Roadmap
Follow a structured path designed for consistent progress. Each course includes a clear roadmap with learning objectives, skill milestones, and project deliverables, so you always know what’s next and why it matters.
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 Support & Interview Preparation
Learning is only part of the journey. When you’re ready, our Career Services can help you present your skills clearly, through portfolio feedback, CV and LinkedIn improvements, and interview preparation, so you can pursue new opportunities in Portugal or internationally with confidence.


