What you'll be able to do
- Write clean, idiomatic Python for data work
- Explore and visualise datasets with pandas and matplotlib
- Train, tune and evaluate classical ML models with scikit-learn
- Present a complete ML project end to end
Before you start
- A laptop that can run Python and a code editor (VS Code)
- Comfort with basic Python helps, but the course starts from the fundamentals
- Willingness to practice daily through the cohort
Tools & technologies
PythonpandasNumPyscikit-learnJupyterPandasMatplotlibRegressionClassificationClusteringModel Evaluation
How you'll learn
AI-nativeYou build with AI tools from the first session — the way working engineers do.
Hands-onMost of every session is you writing code, with mentors reviewing your work.
Project-orientedYou finish with portfolio projects you built — not a certificate for watching videos.
Open by defaultThe course repo is public — everything you'll build is visible before you enroll.
This course's public GitHub repo is shared when the next cohort opens —ask us for a preview and we'll send you the link.
The certificate you'll earn
- Issued on program completion, with your name, course and grade.
- Carries a unique certificate ID and QR code.
- Anyone can confirm it in seconds on ourcertificate verification page — recruiters included.
Who this course is for
Anyone comfortable with basic programming logic who wants a practical entry into machine learning. Mathematics is introduced where it’s needed, in plain language, with code alongside.
Upcoming cohorts
New cohort dates are announced regularly — send an enquiry and we'll reserve you a seat in the next one.
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- New cohort announced soon