AI-Powered Agile Project Management & Continuous Improvement

In this course, you'll master the practical skills to integrate AI into every aspect of project management — from planning and resource allocation to risk management and stakeholder communication. You'll learn to use leading AI tools like ChatGPT, Microsoft Copilot, and Google Gemini to automate routine tasks, make data-driven decisions, and lead your team more effectively. Upon completion, you'll be able to: •Leverage AI tools to save 10+ hours per week on administrative tasks •Create and manage a prompt library of reusable, tested prompts for common PM tasks •Make faster, more informed decisions using AI-generated insights and analysis •Implement governance frameworks that ensure responsible, secure AI use •Lead your team through AI adoption with confidence and clarity Unlike generic AI courses, this program is built specifically for project managers. Every module includes ready-to-use prompts you can apply immediately, real-world scenarios from experienced PMs, and practical guidance on integrating AI into your existing workflows. You'll learn not just how to use AI, but when to use it, which tool to choose, and how to validate AI recommendations before acting on them. This course bridges the gap between AI capability and PM practice — transforming you into an AI-augmented leader who delivers projects faster, smarter, and with greater confidence.

Build practical skills to manage agile projects from core principles to AI-enabled workflows. This course helps you apply the Agile Manifesto, Scrum, Kanban, sprint planning, servant leadership, scaled coordination, and AI tools in real project situations. Throughout the course, you’ll explore: Agile Foundations: Compare Scrum and Kanban, then choose a framework that fits your project. Sprint Planning: Write user stories, define acceptance criteria, estimate work, set sprint goals, and manage a backlog. Agile Leadership: Build psychological safety, remove impediments, communicate with stakeholders, and handle scope creep and missed commitments. Scaling Agile: Explore SAFe, LeSS, and Nexus, manage dependencies, coordinate multiple teams, and measure progress. AI for Agile Projects: Use LLMs for documentation, prioritization, risk prediction, meeting summaries, reporting, and responsible adoption. By the end, you’ll be able to lead agile teams, run effective sprints, coordinate scaled work, and create an AI integration roadmap for practical workplace use in your practice.