Read or watch at the original provider. Each choice has a learning purpose, prerequisites and limits. Full courses and optional deeper branches are not added silently to a route’s core allocation.
Source publication date, provider update date and LecXie review date are separate. Undated does not mean new. Access and prices may change; follow the provider’s current conditions.
University of Helsinki · MinnaLearn
Elements of AI
What you will learn: Explore a broader introductory treatment of AI as an optional deeper route.
Why this is worth the time: A deeper alternative to the introductory explanations. It overlaps with the beginner foundation; choose it for depth rather than adding compulsory reading.
Before this
Beginner; check provider requirements
Study time
Optional Chapter 1: suggested 30-minute exploration. Provider guidance: 4–8 hours per part, not 30 minutes for the course.
Access
Free course access with account; provider conditions apply
Currency / limits
Provider entry and FAQ checked 15 Oct 2026; full course completion not tested
Self-reported and shared across routes. Source date: not established · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
University of Helsinki
Ethics of AI
What you will learn: Explore ethical arguments and practise explaining a judgement.
Why this is worth the time: An optional deeper branch when a beginner wants more than a short safeguard exercise. Written reflection adds depth; peer review may take weeks.
Before this
No specialist background; willingness to reflect
Study time
Suggested 30–45 minutes on a selected chapter, not a course runtime
Access
Free public chapters and assignments; sign-in saves provider progress
Currency / limits
Course pages checked 15 Oct 2026; no completion gate imposed here
Self-reported and shared across routes. Source date: not established · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
HM Treasury · Evaluation Task Force
Impact Evaluation of AI Interventions
What you will learn: Specify a baseline, comparison and outcome measures before starting a pilot.
Why this is worth the time: Connects the earlier notes to a testable pilot rather than a demonstration.
Before this
Task, safeguards, workflow and capability notes from stops 1–5
Study time
20 min selected sections; full guidance takes longer
Access
Free public guidance; no account needed
Currency / limits
Updated 15 May 2026; UK public-sector guidance, adapt to context
Self-reported and shared across routes. Source date: not established · Last update: 2026-05-15 · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
The Alan Turing Institute
AI Fairness in Practice
What you will learn: Use a brief or workbook to structure questions about fairness.
Why this is worth the time: Optional specialist depth for change practitioners. Public-sector origins require adaptation to HR; this is not a compliance checklist.
Before this
Evidence and governance basics
Study time
Suggested 30 minutes for a brief or 60–90 minutes for a selected workshop
Self-reported and shared across routes. Source date: not established · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
Harvard Business School AI Institute
Navigating the Jagged Technological Frontier
What you will learn: Ask which task and comparison a productivity claim actually tested.
Why this is worth the time: Introduces uneven task performance before you judge evidence for your own work.
Before this
Understand the basic idea of an AI model
Study time
15 min selected reading
Access
Free public research summary; no account needed
Currency / limits
21 Sep 2023; historical consultant study, not a 2026 benchmark
Self-reported and shared across routes. Source date: 2023-09-21 · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
Information Commissioner’s Office · UK
Guidance on AI and data protection
What you will learn: Identify data and accountability questions to take to the responsible specialist.
Why this is worth the time: Adds a UK data-protection lens to the general risk framework. Relevance depends on jurisdiction.
Before this
A candidate task and its information flows
Study time
15 min selected guidance
Access
Free public UK guidance; no account needed
Currency / limits
Under review after the Data (Use and Access) Act; UK-specific
Self-reported and shared across routes. Source date: not established · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
IFOW · CIPD · University of Warwick
Good Work Design and AI Adoption
What you will learn: Use a qualitative case to ask how design choices affect the work people do.
Why this is worth the time: Grounds a team workflow discussion in eight cross-sector cases. The cases illustrate choices and mechanisms, not universal causal effects.
Before this
A workflow and a question about work quality
Study time
Suggested 25 minutes for one case; 60 minutes to compare selected cases
Access
Public report; no account needed to view the publication page
Self-reported and shared across routes. Source date: 2026-05-18 · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
Institute for the Future of Work
Toward Good Automation: what the law says
What you will learn: Explore Involve, Assess, Act and Monitor through a selected workplace archetype.
Why this is worth the time: A structured prompt for governance discussions. Provider calls it an interactive toolkit download; it is not presented here as a verified browser game or legal compliance test.
Before this
Workplace context and relevant jurisdiction
Study time
Suggested 25–40 minutes for one archetype
Access
Public toolkit download; jurisdiction-sensitive legal application
Currency / limits
22 Sep 2026; recheck applicability with the responsible specialist
Self-reported and shared across routes. Source date: 2026-09-22 · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
International Labour Organization
How might generative AI impact different occupations?
What you will learn: Separate task exposure from a prediction that an entire job will disappear.
Why this is worth the time: Supports a task-by-task redesign conversation rather than a whole-job assumption.
Before this
Basic model limits and a safeguarded task idea
Study time
15 min reading and chart inspection
Access
Free public article; no account needed
Currency / limits
20 May 2025; potential exposure estimates, not realised job losses
Self-reported and shared across routes. Source date: 2025-05-20 · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
The Alan Turing Institute · Royal Institution · Mirella Lapata
What is generative AI?
What you will learn: Develop a broader explanation of generative AI and its limits.
Why this is worth the time: Optional lecture depth after the short visual primer. Foundational rather than a current model benchmark; exact event-day discrepancy remains unasserted.
Before this
Basic introductory concepts
Study time
Suggested 60-minute learning block; video runtime not verified
Access
Free official video; provider platform conditions apply
Currency / limits
Foundational 2023 lecture; exact day not asserted
Loads a third-party player only when selected. No autoplay. If the provider blocks playback, use the original link below.
Self-reported and shared across routes. Source date: not established · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
NIST
AI Risk Management Framework
What you will learn: Turn a vague risk concern into ownership, context, measurement and controls.
Why this is worth the time: Provides a general risk lens. It does not replace local controls or legal advice.
Before this
A candidate task and people affected by it
Study time
Suggested 25-minute exploration of Govern, Map, Measure and Manage; not a provider runtime
Access
Free public framework; no account needed
Currency / limits
AI RMF 1.0 (2023) is being revised; check current guidance before use
Self-reported and shared across routes. Source date: 2023-01-26 · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
OECD
Bridging the AI skills gap
What you will learn: Distinguish broad AI literacy from specialised skills when planning learning.
Why this is worth the time: Makes the capability plan broader than training people to use a single tool.
Before this
A redesigned task and the people expected to do it
Study time
6-page brief; 10 min suggested reading
Access
Public brief and PDF; no account needed to read
Currency / limits
24 Apr 2025; policy context, not an organisation’s skills assessment
Self-reported and shared across routes. Source date: 2025-04-24 · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
The Open University · OpenLearn
An introduction to artificial intelligence
What you will learn: Put AI in a social and ethical context before choosing a workplace use.
Why this is worth the time: Complements the technical explainer with social consequences.
Before this
None; introductory
Study time
6h full course; 20 min selected reading here
Access
Free reading without sign-in; account for quizzes, tracking and participation statement
Self-reported and shared across routes. Source date: not established · Last update: 2026-03-04 · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
Partnership on AI
Shared Prosperity: job impact assessment
What you will learn: Organise questions about job effects and what affected workers can tell you.
Why this is worth the time: Useful alongside a workflow redesign. PAI is an industry-participating nonprofit; consult people rather than guessing their experience.
Before this
A workflow and access to affected workers or clearly recorded gaps
Study time
Suggested 30–45 minutes for a bounded assessment
Access
Free web/PDF resource; no account needed
Currency / limits
7 Jun 2023; assessment guidance, not evidence that a particular implementation works
Self-reported and shared across routes. Source date: 2023-06-07 · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
The Alan Turing Institute
Engaging stakeholders in AI
What you will learn: Map affected groups and plan how they can influence design.
Why this is worth the time: Adds a structured participation method to a workflow or change plan; paper can replace optional collaborative-board tools.
Before this
A candidate AI use and affected groups
Study time
Provider range 1–5 hours; suggested 45–60 minute initial mapping, not completion
Access
Free account and enrolment required; optional Miro or paper; no iframe permission assumed
Self-reported and shared across routes. Source date: not established · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
3Blue1Brown · Grant Sanderson
Large Language Models explained briefly
What you will learn: Explain how language generation differs from knowing that a claim is true.
Why this is worth the time: A visual starting point for prediction and verification. Use the OpenLearn technical sections instead if you prefer text.
Before this
None; no coding needed
Study time
Suggested 15-minute study activity; video runtime not asserted
Access
Free public visual explainer; no account needed to read
Currency / limits
20 Nov 2024; mechanism primer, not a current model comparison
Loads a third-party player only when selected. No autoplay. If the provider blocks playback, use the original link below.
Self-reported and shared across routes. Source date: 2024-11-20 · Last update: not established · Checked 2026-10-15. Optional unless selected in a core stop; full courses remain separate.
Editorial maintenance
First editorial edition for review. Resource links and conditions have dated checks; maintenance is manual. No weekly automation or notification service is active.
A review should follow a source revision, broken link, access/cost change or a material new alternative. We compare relevance, evidence, learning value, accessibility and overlap before replacing a resource. Popularity is not the criterion.
New route versions retain a change record. Existing route records stay pinned; no automatic reshuffling or unreviewed replacement.
2026-10-15 · 1.0.0 · First AI and Workforce AI learning edition. Active route records pin their unit sequence and resource references; replacements require a new reviewed version.
