AI-Powered Project Management

Use AI to support planning, decisions, risks, meetings and status reporting while preserving governance and human accountability. AI drafts and analyses; people decide and remain answerable.

Register no.

LH-03

Status

15 lessons published · open to enrol

Level

Practitioner

Access

Free

Format

Self-paced, text-first modules with formative checks

Who it is for

Project and delivery leads who want AI support for the routine load without surrendering judgement or audit trails.

• Planning and decision support
• Risk registers
• Meetings and minutes
• Status reporting with accountability
• Governance and audit trails

1. M1

   Project framing

   Three lessons — goals and scope, assumptions and constraints, and success measures closing with a bounded project brief — turning a rough project idea into an AI-assisted brief with explicit edges before planning begins.

   1. Goals and scope: what the project is actually forLesson 1 of 3 · 15–20 minutes
   2. Assumptions and constraints: what you're taking as given, and what limits youLesson 2 of 3 · 15–20 minutes
   3. Success measures and the bounded project briefLesson 3 of 3 · 15–20 minutes
2. M2

   Planning with AI

   Three lessons — milestones and task slicing, dependencies, and acceptance criteria closing with a reviewed task breakdown — turning a bounded project brief into a task breakdown AI can help draft, with a named lead reviewing before anything is scheduled.

   1. Milestones and task slicing: from a bounded brief to a work breakdownLesson 1 of 3 · 15–20 minutes
   2. Dependencies: sequencing work and spotting blockersLesson 2 of 3 · 15–20 minutes
   3. Acceptance criteria and the reviewed task breakdownLesson 3 of 3 · 15–20 minutes
3. M3

   Risks and decisions

   Three lessons — risk registers, decision records and tradeoffs, and escalation closing with a decision/risk packet — using AI to surface risks and options while a named owner keeps the accountability for what's actually decided.

   1. Risk registers: naming risks, owners and likelihoodLesson 1 of 3 · 15–20 minutes
   2. Decision records and tradeoffs: choosing between options with reasonsLesson 2 of 3 · 15–20 minutes
   3. Escalation and the decision/risk packetLesson 3 of 3 · 15–20 minutes
4. M4

   Meetings and status

   Three lessons — agendas and notes, action logs, and status reports closing with an evidence-based status update — keeping meeting and status output honest about what's fact, what's interpretation and what's still unknown.

   1. Agendas and notes: separating fact from interpretationLesson 1 of 3 · 15–20 minutes
   2. Action logs: turning decisions into owned, dated workLesson 2 of 3 · 15–20 minutes
   3. Status reports and unknowns: writing the evidence-based status updateLesson 3 of 3 · 15–20 minutes
5. M5

   Governance and review

   Three lessons — approval gates and review roles, audit trails, and lessons learned closing with a review and approval plan — practising the course's evaluation outcome by checking a project packet against completeness, source quality and governance fit.

   1. Approval gates and review roles: who checks, and who decidesLesson 1 of 3 · 15–20 minutes
   2. Audit trails: keeping evidence of what happened and whyLesson 2 of 3 · 15–20 minutes
   3. Lessons learned and the review and approval planLesson 3 of 3 · 15–20 minutes