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Artificial Intelligence

Understand, build and apply AI systems, from foundations to applied projects.

This school covers the foundations of artificial intelligence, how modern AI systems are built, and how to apply them to real problems. Courses are arranged from beginner to advanced, with assignments and projects at each level so you build proof of your skills as you learn.

Who it suits

It suits students from any branch who want to work with AI tools and models. No prior experience is needed for beginner courses.

Where it can lead

The skills in this school are relevant to AI engineer, ML engineer, AI product and data roles.

How to start

Popular in Artificial Intelligence

  • Featured

    Artificial Intelligence (AI): Advanced

    From engineer to AI architect: transformer internals, distributed training, fine tuning and alignment, advanced RAG, multi agent systems, and LLMOps at scale.

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    • Advanced
    • 8 weeks
  • Artificial Intelligence (AI): Intermediate

    Go from coder to AI engineer: deep learning, computer vision, NLP with transformers, RAG, fine tuning, and AI agents.

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    • Intermediate
    • 8 weeks
  • Artificial Intelligence (AI): Beginner

    Go from zero to your first working AI model: Python, machine learning fundamentals, and hands on Generative AI with LLM APIs.

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    • Beginner
    • 8 weeks

Not sure where to start?

The free aptitude test takes about fifteen minutes and suggests a direction. You can also browse every course and programme in one place.