AI / ML

About the Course

Learn what AI/ML actually looks like inside a real company, beyond the headlines. This isn't just about finding out if AI/ML fits you - you'll walk away with a genuine trained model you can talk about on your resume and LinkedIn, reviewed by a professional who's actually built AI systems used in production. Over five live sessions, you'll build and train a basic machine learning model on real data, from choosing the right approach to explaining its limitations - the real judgment calls AI/ML engineers make, not just the buzzwords around them.

You Will Be Able To:

By the end of this track, you'll have built and explained a real ML model, and gained a genuine, evidence-based sense of whether AI/ML is worth pursuing further.

• Understand the difference between traditional coding and how ML models actually learn

• Apply core machine learning concepts to a real dataset

• Build and train a basic predictive model

• Understand how a real AI product moves from a trained model to something people actually use

• Explain a model's results and its limitations, the way a working ML engineer would to a non-technical team

Prerequisite:

• No prior coding or AI/ML background required - the fundamentals are covered during the sessions

• Basic comfort with logical thinking is helpful

• No advanced math necessary

Who Is This Course For?

• Students in grades 9–12 or undergraduation curious about AI, machine learning, or how intelligent systems actually get built

• Students trying to decide between AI/ML and other technical career paths

• Students preparing for future internships in tech, AI research, or product development

  
  

What You'll Walk Away With:

• A completed, trained ML model

• A Virtual Work Experience Program Certificate, for your resume and LinkedIn

• Direct, one-on-one feedback from a working AI / ML professional

• A specific, resume-ready line describing your project

• A clear, evidence-based answer to whether AI / ML is worth pursuing further