Agentic Ai Project Management: Automate Your Pm Workflow
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.83 GB
ChatGPT & Claude workflows for discovery, sprint planning, release comms, and incident response - ready-to-use prompts
What you'll learn
Use AI prompts to run discovery interviews, synthesize user research, and turn raw notes into structured PRDs
Plan and simulate sprints with AI model capacity, flag scope risks, and produce trade-off options before the sprint begins
Draft multi-audience release notes from a list of closed tickets in one prompt customer changelog, exec summary, and CS briefing
Reconstruct an incident timeline, identify root cause, and generate a full stakeholder communication package
Apply the CLEAR framework with AI to write transparent stakeholder communications for incidents, AI features, and UAT outcomes
Use AI as a go/no-go criteria generator and deployment checklist tool to replace subjective release decisions with objective gates
Requirements
No coding or technical background required - all prompts are written in plain language
Access to ChatGPT (free or paid) or Claude - a free account is sufficient to follow along
Basic familiarity with product or project management concepts (sprints, backlogs, user stories) is helpful but not mandatory
Description
This course contains the use of artificial intelligence.What you will learn:This is a practical, workflow-first course for product managers who want to use AI as a daily co-pilot - not as a novelty tool, but as a reliable system that reduces the administrative load of PM work at every stage of the product lifecycle.Across 9 modules and more than 30 lessons, you will cover every phase of product development - from discovery and requirements through development, testing, deployment, and maintenance - and learn exactly how to apply agentic AI at each stage. Nearly every lesson includes ready-to-use prompt templates you can copy, adapt, and run immediately in ChatGPT or Claude.What is inside each lesson:Every lesson in this course is built around a practical learning stack:Audio podcast lesson: Narrated lesson you can consume on the go - commuting, walking, or between meetingsInfographic: Visual summary of the key frameworks, tables, and concepts from the lessonMind map: Structured visual overview of how the lesson fits into the broader module and courseLesson notes database: Annotated reference notes for each lesson - searchable, scannable, ready to revisitSlide deck: Presentation-ready slides for each lesson - useful for sharing frameworks with your teamQuiz (Q&A document): A comprehensive question bank covering all modules so you can test and reinforce your learningWho this course is for
roduct managers who spend too much time writing, organizing, and documenting instead of thinkingPMs new to AI tools who want a structured, practical starting pointExperienced PMs who have experimented with ChatGPT but want a systematic workflow approachScrum Masters, product owners, and project leads who run ceremonies and manage stakeholder communicationsNo engineering background required. All prompts are written in plain language and explained with context.What you will be able to do after this course:Run an AI-assisted discovery session and convert raw interview notes into structured requirements in under 30 minutesGenerate a full backlog with acceptance criteria, story splits, and a definition of done from a feature briefUse AI to plan sprints, simulate scope trade-offs, and manage capacity without spreadsheetsGenerate multi-audience release notes from a list of closed tickets - in one promptReconstruct an incident timeline, identify root cause, and draft a stakeholder communication package within an hour of resolutionFacilitate retrospectives that produce tracked, completed action items instead of forgotten sticky notesBuild and maintain a cross-sprint pattern library so recurring problems become visible before they become normalizedModule overview:1. Discovery and research2. Requirements and documentation3. Roadmapping and prioritization4. Stakeholder communication5. Design and UX collaboration6. Development and coding support7. Testing8. Deployment9. Maintenance and retrospectivesA note on tools:The course is tool-agnostic at the prompt level - the frameworks and prompt templates work in ChatGPT, Claude, Gemini, or any capable LLM. Where a specific tool is recommended, it is because it is the best fit for a specific task (Claude for log-heavy incident summaries, ChatGPT for structured communications), and the rationale is always explained.Project managers who spend too much time writing and organizing and want AI to handle the administrative layer,Scrum Masters and product owners looking to run faster ceremonies with better-quality outputs,PMs new to AI tools who want a structured, workflow-first starting point rather than a general AI overview
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