About this course
Classical ML done rigorously: feature engineering, model selection and honest evaluation.
This is an 8-week specialist track - our most in-depth program, taking you to a professional, hireable standard. It runs online in the August 2026 cohort (starting 1 August 2026) and is taught the EchoLens way: you learn by doing real, gradeable work rather than just watching lectures.
What's included
- Live, instructor-led online sessions across 8 weeks (32 hours total).
- Hands-on coding quests you solve inside the EchoLens browser compiler - nothing to install.
- Gems, stages and a leaderboard that keep you moving instead of grade anxiety.
- A verified certificate with a scannable QR code, ready to share on LinkedIn, when you finish.
- The first week is open free so you can try the course before you pay.
Course learning outcomes
By the end of this course, you will be able to:
- CLO 1. Apply classical ML algorithms - regression, trees, ensembles - with correct mathematical intuition.
- CLO 2. Engineer features and tune hyperparameters using rigorous cross-validation.
- CLO 3. Build and honestly evaluate a complete ML system end to end.
Course outline - level by level
5 leveles, each with hands-on quests you clear in the portal.
- Level 1. Under the Hood - Gradient descent and linear models from scratch
- Level 2. The Classics - Trees, KNN, SVM, Naive Bayes
- Level 3. Ensemble Power - Random forests, gradient boosting
- Level 4. Rigor and Reality - Tuning, pipelines, fairness, drift
- Level 5. Capstone: The ML System - Complete rigorous ML project
How you submit: Coding quests solved in the built-in EchoLens compiler.
Who it's for
Machine Learning Fundamentals suits learners at a intermediate to advanced level who want a practical, project-based route into Machine Learning Fundamentals. You need only a browser and an internet connection - all coding runs inside the EchoLens compiler, so there is nothing to set up.
Certificate
Finish every stage and EchoLens issues a verified certificate carrying a QR code anyone can scan to confirm it on our site. You can add it to your CV or share it to LinkedIn in one click.