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AI-Powered Agile: Strategies for Modern Project Managers

AI-Powered Agile: Strategies for Modern Project Managers

1h 2mIntermediate2024-11-07

Authors

Bob McGannon

Bob McGannon

PMP and PRINCE2 Certified Consultant, Author, and Speaker

Christina Charenkova

Christina Charenkova

Business Consultant, Online Instructor, Coach, and Educator

Course details

Technology in the age of AI is advancing so quickly it’s hard to keep up. That’s why incorporating agile methods on a project can be so valuable in all the right ways—helping you deliver better, faster, more effective outcomes and boosting engagement across teams. In this course, instructors Bob McGannon and Christina Charenkova show you how to leverage AI and agile in tandem to address and manage agile delivery, team construction, the agile mindset, organizational structures, and successful organizational change. From requirements gathering, staffing a team, and running retrospectives, to ensuring your team has the right skill sets and collaborative tools, this course is ideal for project managers and team leaders who are interested in learning how to integrate the power of agile and AI, using AI-driven strategies for organizational change management.

Learning objectives
Understand the pros and cons of using AI in an agile environment.
Identify the areas where AI can help guide agile projects and where the capability of AI may be overstated.
Use AI prompts to help guide agile project delivery and cross-functional teamwork.
Leverage AI change agents to help with organizational change.
Frame prompts more efficiently to help increase agile project productivity.

Skills covered

Agile Project ManagementArtificial Intelligence FoundationsProject ManagementArtificial Intelligence (AI)One-Off

Concepts

0. Introduction

  • 01 - The intersection of agile and AI

1. The Process of Integrating AI into Agile

  • 02 - Managing agile projects using AI
  • 03 - Benefits and pitfalls of using AI in agile
  • 04 - Developing agile requirements with the help of AI
  • 05 - Retrospectives and lessons learned with AI

2. The People Side of Agile AI

  • 06 - Staffing your agile team
  • 07 - Training your team on agile and AI
  • 08 - Cross functional teamwork - Developing agile AI expertise
  • 09 - AI-driven strategies for organizational change management

3. Working with Your Corporate Culture and Environment

  • 10 - Inhibitors in your agile culture
  • 11 - How AI can help reinforce agile culture
  • 12 - Agile in regulatory environments
  • 13 - Agile projects in multiple geographies

4. Agile AI Challenge Case Studies

  • 14 - Challenge - Using AI for project analysis
  • 15 - Solution - Using AI for project analysis
  • 16 - Challenge - Requirements needed to launch an agile project
  • 17 - Solution - Requirements needed to launch an agile project
  • 18 - Challenge - Dealing with AI tool integration
  • 19 - Solution - Dealing with AI tool integration

Conclusion

  • 20 - Value from agile in AI enabled projects

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