PROJ CE08 - Managing Projects with Artificial Intelligence

This three-day course equips project managers and team leaders with the knowledge, tools, and confidence to harness artificial intelligence across the full project lifecycle.

As AI rapidly transforms how organizations plan, execute, and report on projects, this course cuts through the hype to focus on practical, immediate application. Participants will explore how AI-powered tools can automate routine tasks, enhance decision-making, improve risk management, and unlock new levels of team productivity.

Through hands-on exercises, real-world case studies, and live tool demonstrations, delegates will leave with a clear understanding of where AI adds genuine value in project management — and how to implement it responsibly and effectively in their own organization.

Who should enroll

This course is designed for professionals who are managing projects and want to understand how artificial intelligence can meaningfully support their work without getting lost in technical complexity.

You’ll benefit if you:

  • Manage or coordinate projects and are looking for ways to improve efficiency, decision-making, and outcomes
  • Are curious about AI tools but unsure where they fit within your day-to-day project work
  • Want to reduce time spent on administrative tasks like reporting, documentation, and scheduling
  • Need to work with increasing amounts of data, complexity, or competing priorities
  • Are responsible for introducing new tools, processes, or innovations within your team
  • Want to confidently assess when (and when not) to use AI in a project environment

This course is a strong fit for project managers, team leads, supervisors, analysts, and professionals working in government, non-profit, First Nations, and private sector organizations.

Learning outcomes

By the end of this course, participants will be able to:

  • Explain key AI concepts and their relevance to project management
  • Evaluate AI tools and identify those suited to their project and organizational context
  • Apply AI to core project activities, including planning, scheduling, and risk identification
  • Use generative AI to create and refine project documentation and communications
  • Construct effective prompts to generate accurate and useful AI outputs
  • Interpret AI-generated insights to support decision-making and project monitoring
  • Recognize ethical, legal, and data considerations when using AI in projects
  • Develop strategies to introduce AI tools into project teams and workflows
  • Create a practical action plan to integrate AI into their own projects
Professional Development Credits

Participants earn

  • 21.5 hrs of approved project management education credits towards new applications for Project Management Professional (PMP)® and Certified Associate in Project Management (CAPM)® Certification from PMI.
  • 21.5 PDU, professional development credits towards maintaining PMP® credentials.
What participants receive
  • Three full days of instruction
  • Comprehensive PM reference binder and/or digital package of materials
  • Certificate of completion
  • 21.5 hrs of approved project management education credits towards new applications for Project Management Professional (PMP)® and Certified Associate in Project Management (CAPM)® Certification from PMI.
  • 21.5 PDU, professional development credits towards maintain PMP® credentials.
Duration and format

Duration     21.5 hours

Format       online, synchronous

Withdrawals and refunds
NON-CREDIT COURSE REFUND POLICY


Withdrawal 7 days prior to course start time: Full Refund
Withdrawal after 7 days: No Refund

Please refer to the Tuition Refund policy.

This policy applies to all students taking credit courses at Yukon University and all noncredit students taking courses through the Continuing Studies division with Yukon University.

CRN Instructional method Instructor Location Start date Seats available* Cost
90501 Online Synchronous Online/Video
10
Cost: $997.50
Tax: $49.88
Class schedule
Start date End date Room Monday Tuesday Wednesday Thursday Friday Saturday Sunday
Classroom - Face to Face 9:00 AM - 5:00 PM 9:00 AM - 5:00 PM 9:00 AM - 5:00 PM - - - -