Digital Innovation
AI Productivity for Project Professionals
Build repeatable AI-assisted workflows for planning, research, meetings, stakeholder communication, analysis, and drafting. Practice giving AI useful context, checking its answers, and turning a recurring task into a workflow you can reuse.
Build practical capability
Make AI useful in the work you already do.
This practical experience focuses on thoughtful, repeatable uses of AI across planning, communication, analysis, and team support.
Discover practical ways to use AI to save time, improve communication, organize information, and support better project decisions. Participants leave with repeatable techniques they can apply to everyday project work.
What you will learn
Course learning objectives
By the end of this course, you will be able to:
Design reusable prompts
Specify purpose, context, role, constraints, examples, and output format; improve instructions when the result misses the need.
Structure planning and research
Turn messy inputs into a draft plan, research questions, assumptions, and source checks.
Improve meetings and communication
Draft agendas, summaries, follow-ups, and stakeholder messages, then adapt them to the audience.
Analyze options and risks
Use AI to compare alternatives and surface risks while distinguishing evidence from assumptions.
Evaluate output quality
Check accuracy, completeness, tone, and source support before using or sharing an AI-generated result.
Build a repeatable work habit
Combine instructions, inputs, review steps, and a next-use plan for one recurring professional task.
What you will do
Apply the methods to practical work
Work through project notes, planning questions, and stakeholder messages. Compare draft outputs, trace important claims to their sources, adapt language for an audience, and refine a personal workflow with explicit human review.
Techniques you will practice
Structured prompting: Use context, constraints, examples, and a clear output format to make requests repeatable.
Iterative refinement: Compare drafts, identify what failed, and revise one instruction at a time.
Source and assumption checks: Separate supported claims, uncertain information, and questions requiring human investigation.
Audience adaptation: Change emphasis, detail, and tone for different stakeholders without changing the underlying facts.
Quality-control checklists: Define what you must inspect before a result enters a real work process.
How the course is structured
Demonstration, guided practice, testing, and improvement
The course moves through the stages below. Instructor demonstrations and guided activities lead into participant application, critique, and a practical next-use plan.
- Frame the task
Identify where AI helps or slows a recurring task and set responsible-use boundaries.
- Demonstrate a prompt system
See how context, examples, constraints, and iteration change the output.
- Practice planning and research
Structure sample information and check the evidence behind the draft.
- Apply to communication
Create and critique meeting outputs and stakeholder messages.
- Compare and challenge
Use an analysis example to expose assumptions, risks, and weak reasoning.
- Build your workflow
Combine reusable instructions and a review checklist; identify the next task on which to try them.
Choose an approach that fits your experience
Begin with a guided professional task and plain-language prompts. If you already use AI, challenge the same workflow with incomplete or conflicting inputs and more demanding quality checks. Coding is not required.
Use a sample or anonymized work situation. Keep confidential information out of shared tools, verify AI-generated claims, and retain human judgment over consequential decisions.
2027 schedule
Plan the experience into your learning year.
Choose a scheduled offering below. Course registration opens December 10, 2026. You can reserve your interest now and request an opening reminder; no payment is collected by the reservation form. A completed paid registration is required to secure a seat.
Live virtual · 4-hour course
9:30 AM–1:30 PM ET
Eastern Time (America/New_York)
Course investment: $299
Practice structured prompting, planning and research, meeting outputs, stakeholder communication, and quality checks.
You will leave with: Reusable prompt patterns, a personal workflow design, and a review checklist.
Reserve this offeringLive virtual · 4-hour course
9:30 AM–1:30 PM ET
Eastern Time (America/New_York)
Course investment: $299
Practice structured prompting, planning and research, meeting outputs, stakeholder communication, and quality checks.
You will leave with: Reusable prompt patterns, a personal workflow design, and a review checklist.
Reserve this offeringLive virtual · 4-hour course
9:30 AM–1:30 PM ET
Eastern Time (America/New_York)
Course investment: $299
Practice structured prompting, planning and research, meeting outputs, stakeholder communication, and quality checks.
You will leave with: Reusable prompt patterns, a personal workflow design, and a review checklist.
Reserve this offeringThe listed dates, times, and prices match the governed 2027 calendar. This reservation expresses interest; it is not a paid enrollment or a guarantee that an offering will run.
Find your pathway
Choose the next step that fits your goals.
Explore the full 2027 calendar and see how AI Productivity for Project Professionals connects to your Digital Innovation pathway.
Explore the 2027 calendar