FoundationsBeginner

Data & Machine Learning Foundations

Six weeks on what machine learning actually does, so you can reason about model behaviour rather than treat it as magic. Enough theory to make good engineering decisions, and no more.

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Duration: 6 weeks
Level: Beginner
Format: Live online
Investment: Request pricing
Next cohort: Dates announced soon

Who this is for

Comfortable writing Python
School-level mathematics

This is not for

Anyone seeking a research or PhD-track ML course
Anyone who wants to train frontier models from scratch

What you leave with

A trained and evaluated classifier with an honest error analysis
A feature pipeline that handles messy real data
A short written assessment of where your model fails and why

Tools and stack

Pythonscikit-learnpandasNumPysentence-transformersJupyter

Curriculum

Module 1 — What ML can and cannot do

Frame a problem as a learning task, or reject it
Recognise problems better solved with rules
Set a baseline before touching a model

Module 2 — Data before models

Find leakage before it flatters your results
Handle missing and imbalanced data honestly
Build a reproducible split

Module 3 — Training and tuning

Train a model without fooling yourself
Tune without overfitting the validation set
Know when more data beats a better model

Module 4 — Evaluation that means something

Choose metrics that match the business cost
Read a confusion matrix properly
Report uncertainty

Module 5 — Embeddings

Understand what an embedding represents
Use vector similarity correctly
See where semantic search fails

Module 6 — Error analysis

Categorise failures instead of counting them
Decide what to fix first
Write the analysis someone else can act on

How this program handles evaluation and governance

Most AI harm starts in the data, not the model. This course spends real time on leakage, imbalance, and evaluation metrics that flatter a system while hiding who it fails. You will write an error analysis that names which groups or cases your model gets wrong — the habit every governance framework later depends on.