Free short course
Specialist AI: forecasting, graphs and active learning
Explore niche AI patterns through forecasting, anomaly detection, graphs, active learning and scientific evidence.
This course is free in full: every module, knowledge check and the final task, with no sign-up.
Explore niche AI patterns through forecasting, anomaly detection, graphs, active learning and scientific evidence.
Complete Data and measurement; no specialist software required for the exercises. Each lesson includes a worked example, a practice task and an answer explanation. Allow about 12 minutes per lesson, five minutes for the knowledge check and 30 minutes for the final assignment. The reading is concise; the study time includes doing the exercises.
All scenarios are fictional. No paid subscription, specialist hardware or live AI integration is required to complete the written exercises. Advanced courses teach design and evaluation principles; they do not claim to provide a production implementation or professional accreditation.
By the end, you'll be able to…
- Choose a suitable modelling approach and explain the evidence needed before using it.
- Evaluate forecasts using only information available at the forecast date.
- Distinguish unusual behaviour from a confirmed problem.
- Keep relationships precise when names are ambiguous.
- Choose which examples need human labels most carefully.
- Separate a promising result from evidence for your own use case.
What's in it
- Module 1: Specialist AI: forecasting, graphs and active learning in practice
Choose a suitable modelling approach and explain the evidence needed before using it.
- Finishing the course
One final task that puts the whole method to work on something real.