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AI & Machine Learning

Understand and build with the technology behind today's biggest tech shift.

AI and machine learning can feel abstract until you actually build something with them. This course focuses on practical understanding — how machine learning models work, how to work with data, and how to apply these tools to real, well-defined problems.

You'll come away with both the conceptual grounding to keep learning independently and hands-on experience building and evaluating your own models.

Curriculum

What this program covers

1 Machine learning fundamentals and core concepts
2 Working with data: cleaning, preparation, and analysis
3 Building and training basic machine learning models
4 Introduction to neural networks and deep learning
5 Working with modern AI tools and libraries
6 A hands-on final project applying these skills
Outcomes

What you'll walk away with

  • Practical understanding of how machine learning actually works
  • Hands-on experience building and evaluating models
  • A completed AI/ML project for your portfolio
  • A foundation for further, more specialized AI study
FAQ

Frequently asked questions

Yes, basic programming knowledge is recommended — Programming Fundamentals is good preparation if you're new to coding.

We introduce the necessary underlying concepts as they come up rather than requiring advanced math beforehand, though comfort with basic math helps.

The course uses widely adopted, industry-standard tools and libraries so the skills transfer directly to real-world and further study.

Ready to join AI & Machine Learning?

Tell us your goals and preferred schedule and we'll help you find the right batch to start with.