Content coming soon

This lesson doesn't have its media attached yet. We're uploading it — check back shortly.

Section Getting Started · Lesson 1 of 41

Course roadmap: how to actually finish this

Next lesson

You're watching a free preview

Enrol to unlock all 41 lessons, 15h 17m of content, notes and the certificate.

Enrol for 2621452,899

Stuck on something?

We can see which lesson you are on. Tell us what you tried and what happened — we usually reply within a working day.

This content is licensed to a preview viewer for personal use. Every view is logged and each frame carries your identity. Sharing, recording or redistributing it terminates access without refund.

Job-Ready AI & Machine Learning Bootcamp

Free preview — enrol to unlock everything.

Course roadmap: how to actually finish this Video · 8:00 · Free Setting up Python, VS Code and Jupyter Video · 15:20 · Free

How to get help and use the notes Locked

Module 1 notes and setup checklist Locked

Variables, types and control flow at speed Locked

Functions, comprehensions and clean code habits Locked

Working with files, JSON and APIs Locked

NumPy: vectorised thinking Locked

Pandas part 1: loading, selecting, filtering Locked

Pandas part 2: groupby, merges and reshaping Locked

Practice set: cleaning a real sales dataset Locked

Distributions, mean vs median, and why it matters Locked

Correlation, causation and confounders Locked

Hypothesis testing without the jargon Locked

Statistics cheat sheet Locked

The ML workflow end to end Locked

Linear regression from scratch in NumPy Locked

Gradient descent, visualised Locked

Logistic regression and classification metrics Locked

Decision trees and random forests Locked

Gradient boosting: XGBoost and LightGBM Locked

Cross-validation and hyperparameter tuning Locked

Data leakage: the bug that fakes 99% accuracy Locked

Neural networks explained with one neuron Locked

Backpropagation you can follow by hand Locked

PyTorch basics: tensors to training loop Locked

CNNs for image classification Locked

Transfer learning: results without a GPU farm Locked

Saving, loading and versioning models Locked

Building a FastAPI prediction service Locked

Input validation and failure modes Locked

Deploying to a cheap VPS with Docker Locked

Monitoring drift after launch Locked

Project 1: Customer churn prediction with business framing Locked

Project 2: Resume screening with NLP Locked

Project 3: Demand forecasting for a retail chain Locked

Project 4: End-to-end deployed ML API Locked

Project starter files and datasets Locked

Structuring a portfolio recruiters actually open Locked

250+ ML interview questions, answered Locked

Mock interview walkthrough Locked