New to AI, even if you manage a team? Start with the Beginner route. Team leader and Change practitioner routes build on those foundations; your job title does not require you to skip them.
These routes have different sequences, cases and outputs. Explore and Apply change the extent of practice within a route, not the learner’s role. Study times are LecXie allocations, not video runtimes or evidence of time spent.
Beginner
AI foundations: understand, check, try
A personal experiment plan with checks and boundaries.
Before this: No technical background required. Start at the beginning.
Name the kind of AI
Prediction and verification
Test on a separate example
Choose safe information
Write a brief a person can check
Plan one bounded experiment
Suggested Explore 55 min · Apply 90 min. Optional depth separate.
A learning journey map, separate from the knowledge map. Colour and text identify role lanes. Solid blocks are core stops; dashed branches are optional. Shared resource labels reveal overlap, not equivalence of whole routes.
AI Risk Management Framework · Beginner / Change practitioner / Team leader
Lesson 2B: The 4D Framework · Beginner / Team leader
User Needs + Defining Success · Beginner / Team leader
Impact Evaluation of AI Interventions · Beginner / Change practitioner / Team leader
Resources with the same ID share your self-reported explored mark across routes. A route’s different application activity still needs its own working note.
Equivalent foundation choices
Prefer text? OpenLearn’s introductory model sections can replace the 3Blue1Brown visual slot. The local examples activity and TensorFlow Playground are alternative ways to explore training/test behaviour; Playground is an optional deeper visual tool, not extra compulsory work.