Toggle Nav
  • Sign In
  • Create an Account
My Cart
Search
Advanced Search
Individuals
Organizations
Menu
Account
Link to product via QR code

AI for Project Management: A Hands-On Learning Lab

Generative AI for Project Managers and Teams

AI for Project Management is here: in this 16-hour, hands-on workshop, project managers learn to apply generative AI and AI assistants to planning, scheduling, risk, cost, and communications—safely and without coding. This course goes beyond prompting: you will learn where today's models fail and how to catch it, build reusable AI workspaces with projects and skills, run AI deep research, and apply the latest findings on working productively, and growing, alongside AI. Participants can work in Claude, ChatGPT, or Microsoft Copilot; live demonstrations use Claude. Leave with reusable prompts, ready-to-use templates, and lightweight automations for your real projects.

  • Start Date August 1
  • Time Sat 8:00 AM - 12:00 PM Pacific Time
  • Duration 16 Hours
  • Format
    Live-Online
  • Program Type Open-Enrollment/Public
  • Certificate Type Short Course
  • CEUS 1.6
  • Program Number 5470826
  • Fees $1,200
  • See full course info
View Similar Courses
Contact Advisor

AI for Project Management is here: in this 16-hour, hands-on workshop, project managers learn to apply generative AI and AI assistants to planning, scheduling, risk, cost, and communications—safely and without coding. This course goes beyond prompting: you will learn where today's models fail and how to catch it, build reusable AI workspaces with projects and skills, run AI deep research, and apply the latest findings on working productively, and growing, alongside AI. Participants can work in Claude, ChatGPT, or Microsoft Copilot; live demonstrations use Claude. Leave with reusable prompts, ready-to-use templates, and lightweight automations for your real projects.

Print Page
AI for Project Management: A Hands-On Learning Lab

Program Experience

Over four short online sessions, AI for Project Management course shows you how to apply generative AI to core PM tasks—charter and WBS, scheduling, risk, cost, and communications. With live demonstrations, guided assignments, and iterative prompt engineering, you'll tailor workflows to your own projects. You will practice data-safe prompting, define outputs for consistency, and build a reusable prompt library, a risk-register toolkit, and an automated status-report generator that align with your organization's standards.  

The 2026 cohort adds three things a prompting course does not cover. First, model failure: you will learn to recognize hallucination, sycophancy, and output degradation in your own work, and apply evaluation techniques that keep AI output trustworthy enough to put in front of a steering committee. Second, reusable workspaces: rather than starting each task from a blank prompt, you will set up projects and build a custom skill that packages your organization's standards into a repeatable workflow. Third, deep research: grounding decisions in policy scans, standards updates, vendor due diligence, and market benchmarks instead of model recall.  Runs over four consecutive Saturdays (8am to noon PT)—ideal for distributed PM teams.

View our instructors

Course Info

Benefits
Topics
Who Should Attend
Schedule
FAQ

Upon completion of this course, you will be able to:

 

  • Use GenAI tools (e.g. Claude, ChatGPT, Microsoft Copilot) to draft project charters, business cases, statements of work, and stakeholder analyses
  • Prompt GenAI effectively to generate work breakdown structures (WBS), risk registers, communication plans, and task descriptions
  • Use GenAI to simulate "what-if" scenarios for project decision-making and planning
  • Use AI assistants and copilots (e.g., Claude, ChatGPT, Microsoft Copilot) to support day-to-day project tracking and communication
  • Explore AI-based tools for conflict simulation, scenario generation, and collaborative problem solving
  • Develop a change management approach to introduce AI tools into existing project teams and workflows
  • Recognize today's leading LLM vulnerabilities (e.g., hallucinations, sycophancy, output degradation) and apply practical mitigation and evaluation techniques that keep AI output trustworthy
  • Build reusable AI workspaces: set up a project in Claude or ChatGPT, and create a custom skill in Claude that packages your standards into repeatable workflows
  • Run AI deep research to ground project decisions: policy and regulatory scans, standards updates, vendor due diligence, market benchmarks, and lessons-learned synthesis
  • Apply current research on generative AI in the workplace: best practices for productive use, and leveraging AI for cognitive growth and skill development rather than skill erosion
  • Create stakeholder-ready visuals and charts with current image generation tools
  • GenAI Foundations: how large language models work, model settings, prompt formulas, context engineering, and prompting strategies that hold up as models change
  • Initiation & Planning: Charter drafting, objectives/KPIs, constraints/assumptions, work breakdown structure (WBS) creation, scope clarity
  • Scheduling: Task decomposition, dependencies, schedule risk identification
  • Risk & Issue Management: Driver trees, risk statements, mitigation planning, early-warning summaries
  • Cost & Quality: Estimation supports, change-impact notes, and quality checklists
  • Stakeholder & Communications: Role-aware briefings, meeting notes, decision logs, change impacts, communications plans, sentiment cues, FAQs
  • Conflict Management: AI-assisted conflict simulation, scenario rehearsal, and collaborative problem solving
  • Governance & Safety: Data handling, prompt hygiene, LLM vulnerabilities and mitigation practices (hallucinations, sycophancy, output degradation), evaluating AI output, model limits, auditability  (the highlighted text replaces "hallucination traps")
  • AI Workspaces & Reusable Assets: creating projects in Claude and ChatGPT, building skills in Claude, turning one-off prompts into a team prompt library
  • Deep Research for PMs: policy and regulatory changes, standards updates, vendor and tool due diligence, market benchmarks for estimates and business cases, lessons-learned synthesis
  • Working Well with AI: current research on generative AI in the workplace, healthy usage patterns, and using AI for cognitive growth and skill development
  • Dashboards & Visuals: Rapid visuals for timelines, risks, and status summaries, including visualizations and charts with ChatGPT Image Gen 2.0

Designed for project managers and team leads modernizing their workflows, this course welcomes professionals curious about AI’s practical role in delivery. It’s ideal for those aiming to cut manual overhead and improve predictability, and for anyone accountable for planning, scheduling, risk management, or stakeholder reporting. 

  • Course Name AI for Project Management: A Hands-On Learning Lab
  • Format
    Live-Online
  • Duration 16 Hours
  • Start Date August 1
  • End Date August 22
  • Meet Times On the following days: August 1, 8, 15, 22, 2026 8:00 AM - 12:00 PM Pacific Time

Do I need AI or programming experience?
No. We focus on plain-language prompting and low/no-code workflows.

What tools are used?
We demonstrate with widely available assistants and PM apps using free-tier or trial access. You can apply the methods to your approved enterprise tools. No vendor endorsement is implied.

Will I work on my own project?
Yes—bring a real project. Prompts and templates help you adapt outputs to your context.

Are sessions recorded?
Yes, for the live-online format. For hybrid/self-paced, videos and exercises are provided.

Can this count toward PDUs?
Many participants claim PDUs under Technical/Leadership/Strategic categories. CTME provides a completion letter; check PMI’s current policies for eligibility.

Data privacy?
We teach data-safe prompting, redaction patterns, and responsible-use guidelines aligned to your organization’s policies.

Instructors

Photo of Jen Garcia

Jen Garcia

AI Systems

See full bio

Picture of Mike Krause, PhD

Mike Krause, PhD

AI Systems

See full bio