Compare courses that explicitly teach prompting. Check whether examples involve repeatable tasks, clear context and evaluation of results, rather than isolated prompt templates.
Prompting for fit-for-purpose project artifacts, AI concepts and commercial considerations, ethics/IP, iterative prompt refinement and practical use of AI across project tasks.
Three courses: general GenAI introduction (8 h), general prompt engineering (10 h), then PM lifecycle use (9 h) with ChatGPT/Copilot/Gemini/DALL-E; PM course names charter and WBS outputs.
Five modules move from prompt basics and chat-versus-M365 Copilot distinction to audience-specific email and Word drafts, Teams meeting preparation/recaps, Excel insight extraction and PowerPoint presentations.; Final module asks learners to retrieve and validate organization information and form daily AI workflows.
The current public page names Gmail email drafting/summaries, long PDF/report/meeting-transcript summarization, spreadsheet executive summaries, slide generation, image/screenshot insights, reusable Gems and custom workflow construction; it states a final project to build a workflow from research and prompt planning to a report, email sequence or presentation. The six-lecture outline does not map those tasks to individual lessons.
Six modules on Gemini/Workspace basics, internal operations, content/marketing strategy, business analysis, external growth/presentations and wrap-up
Admin-use tasks include professional email, meeting agendas, converting notes into action items, team updates, summarizing long email threads, contract analysis, presentations, project management and data analysis
Other modules include social-media calendars, brand voice, sales pitches and client-growth content
Spanish AI integration across Scrum, Kanban, Lean and Design Thinking, with a downloadable/executed Scrum improvement prompt and flow-optimization examples.