Agile Teams in the Age of AI
1h 40mIntermediate2025-01-02
Authors
Doug Rose
Teaching Fortune 500s and professionals how to lead change
Course details
The age of AI has begun. Many teams fear and dream of working with intelligent machines. But a quieter revolution has taken place. AI tools such as Microsoft's Copilot can develop products with only short prompts. This will have a huge impact on your agile team.
Back in 2001, the Agile Manifesto was created to help teams closely collaborate on changing products. Yet, modern product development looks a lot more like distributed teams working in close collaboration with an AI tool.
In this course, Doug Rose explores what this means for the future of the agile mindset and how it will change the work done by product development teams. Find out which agile processes will continue to be essential. Plus, examine newer challenges such as AI alignment, fair use, and the knowledge-skill death spiral. With a change in focus, agile teams can continue to thrive in the age of AI.
Back in 2001, the Agile Manifesto was created to help teams closely collaborate on changing products. Yet, modern product development looks a lot more like distributed teams working in close collaboration with an AI tool.
In this course, Doug Rose explores what this means for the future of the agile mindset and how it will change the work done by product development teams. Find out which agile processes will continue to be essential. Plus, examine newer challenges such as AI alignment, fair use, and the knowledge-skill death spiral. With a change in focus, agile teams can continue to thrive in the age of AI.
Skills covered
Microsoft CopilotAgile Project ManagementArtificial Intelligence for BusinessProject ManagementBusiness Analysis and StrategyMicrosoftOne-Off
Concepts
0. Introduction
- 01 - How the course is structured
- 02 - Predicting the future
1. The Age of AI
- 03 - The evolution of machine learning
- 04 - Neural networks and deep learning
- 05 - Powerful predictive models
- 06 - The flexibility of foundation models
- 07 - The rise of generative AI
2. The Agile Mindset
- 08 - Lightweight software development
- 09 - Scrum as an empirical process control
- 10 - The rise of lean thinking
- 11 - The agile mindset
- 12 - Agile must adapt to artificial intelligence
3. AI Enhanced Agile Practices
- 13 - AI enhanced software development
- 14 - Intelligent software repositories
- 15 - Self-generating user stories
- 16 - AI-powered estimation
- 17 - Intelligent tools for administration
4. The Impact on the Team
- 18 - The scrum master
- 19 - The product owner
- 20 - Virtual sprinting
5. Data as an Agile Product
- 21 - Use AI to gather insights
- 22 - Collect organizational knowledge
- 23 - Knowledge goals
6. New Team Roles
- 24 - Data analysts
- 25 - Research leads
- 26 - Project managers
7. Team Challenges
- 27 - The expertise death spiral
- 28 - The alignment problem
- 29 - Copyright and fair use
Conclusion
- 30 - Prepare for the age of AI
Related courses
- AI-Powered Agile: Strategies for Modern Project Managers
- Leading Talent Development in the Era of AI
- Adaptive Project Leadership
- Agile at Work: Driving Productive Agile Meetings (2015)
- Agile Testing
- Leveraging Virtual and Hybrid Teams for Improved Effectiveness
- Generative AI for Agile and Scrum Teams by Pearson
- Agile at Work: Building Your Agile Team
Related learn paths
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- Developing Learning-Ready Teams for L&D Pros
- Master Digital Transformation
- Career Essentials in Project Management
- Become a Corporate Financial Planning Analyst
- Technical Program Management
- Software Development Fundamentals
- Getting Started as an Agile Project Manager