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 October 24
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 5471026
Fees $1,200
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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

Course Name AI for Project Management: A Hands-On Learning Lab
Format
Live-Online
Duration 16 Hours

Start Date October 24
End Date November 14
Meet Times On the following days: October 24, 31, November 7, 14, 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.

AI for Project Management: A Hands-On Learning Lab

Generative AI for Project Managers and Teams

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Course Info

Instructors

Jen Garcia

Mike Krause, PhD