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Intro to Programming & Building with AI cover image
Tech (Programming / ML / AI)

Intro to Programming & Building with AI

AI is capable of writing code already. This course focuses on teaching you how to think like a builder as you work with it. You will learn programming fundamentals, problem-solving skills, and how to critically use AI tools through hands-on projects instead of just syntax drills. By the end of the course, you will have built and presented your own working project. No prior experience is required.

Subject: Python, AI | Level: Open / All Levels
Foundations of Data, Stats & ML cover image
Tech (Programming / ML / AI)

Foundations of Data, Stats & ML

Explore more than just coding by learning how to work with data through statistics, visualization, probability, and the basics of machine learning. This course focuses on real datasets rather than abstract theories. You will build and evaluate your first machine learning model and conclude with a data project of your own. It is ideal for individuals who have some prior programming experience.

Subject: Data Analysis | Level: Open / All Levels
Software Engineering Fundamentals cover image
Tech (Programming / ML / AI)

Software Engineering Fundamentals

Learn how software actually gets built by working developers: Git and version control, working with APIs, connecting to a database, debugging like a professional, and writing your first tests. You'll finish by building and presenting a real working project with persistence and tests, not just a script. Ideal after Intro to Programming & Building with AI, or for anyone with basic coding experience.

Subject: Software Engineering | Level: Open / All Levels
Applied ML & Intro to MLOps cover image
Tech (Programming / ML / AI)

Applied ML & Intro to MLOps

Most ML courses stop at a trained model in a notebook. This one goes further, packaging a model, serving it through an API, thinking about data drift, and monitoring it once it's "live." You'll finish with a complete pipeline: data in, model trained, model served. Ideal after Foundations of Data, Stats & ML, or for anyone with prior ML/stats experience.

Subject: ML Operations | Level: Open / All Levels

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