Listed as Free on Udemy when checked on 24 October 2026. No coupon or subscription trial is required for the listed lessons. Enrollment needs a Udemy account; availability can change.
About this course
AI assistance in a project is useful only when someone remains responsible for the decisions. Dr. Law Payne organizes this introduction around outcomes, scope, risk, stakeholder communication and delivery control, with attention to how evidence and ownership move through the process.
The current curriculum contains 15 lectures across two sections, with a listed total duration of 1 hour 47 minutes. The first five lectures cover an AI-augmented management system, estimates and work breakdown, scenario planning, stakeholder communication and delivery control. Ten additional workshops address project leadership, stakeholder reactions, authority, motivation and responsible influence.
| Official course | AI for Project Managers: Planning, Risk and Delivery |
|---|---|
| Created by | Dr. Law Payne |
| Platform | Udemy |
| Language | English |
| Level | All Levels — Udemy listing |
| Listed duration | 1 hour 47 minutes; 15 lectures across 2 sections |
| Certificate | Not included with a new free enrollment |
Skills you’ll gain
- Connecting AI-assisted work with a project outcome
- Considering scope, dependencies and estimate ranges
- Assigning ownership to risk responses and decisions
- Reviewing AI-generated material before it informs delivery
The published lesson descriptions state that a continuing business case and exercises accompany the frameworks. They do not establish a detailed tutorial for a specific AI product, and no claim is made here that every exercise or generated output has been independently tested.
Project, team or client experience will help learners bring a meaningful objective to the exercises. The requirements say AI-tool access is helpful rather than necessary for understanding the frameworks; no named paid subscription is compulsory for studying the videos.
Artificial-intelligence use in the course is disclosed by the provider. When applying the ideas, distinguish a plausible generated draft from checked project evidence, and avoid putting confidential project information into a tool without the appropriate authorization. The broader implementation claims in the description are not guaranteed outcomes.
Frequently asked questions
Must I subscribe to a paid AI service?
The stated requirements do not mandate a specific paid tool; access is described as helpful for application.
Is this a coding course?
Its documented scope is project-management frameworks and decisions.
Are AI-generated claims meant to be accepted automatically?
No. The course requirements explicitly call for testing assumptions and verifying generated claims.
Checked on 24 October 2026 using the public course details and syllabus. WikiFree has not watched every lesson or tested full playback. New free enrollments do not include a Udemy completion certificate, instructor Q&A or direct messages.
Questions & discussion
Share a useful question or correction. Comments appear after moderation. Please avoid personal or sensitive information.