Artificial Intelligence for Project Managers
1h 5mGeneral2025-02-04
Authors
Oliver Yarbrough
Author, Speaker, Trainer, Project Management and Marketing Expert
Course details
AI is revolutionizing the way project managers work, offering unprecedented opportunities to enhance efficiency, accuracy, and innovation. In this course, instructor Oliver Yarbrough simplifies the complexities of artificial intelligence and shares practical ways you can use AI in your projects.
Learning objectives
Explain how AI is transforming the project management profession.
Describe the importance of integrating human strengths with AI capabilities.
Build an AI project model and discuss specific use cases for artificial intelligence.
Explain how AI can be used to monitor projects in real-time and forecast more accurately.
Walk through how to derive value from data with AI and apply it to projects.
Select AI tools that best meet the needs of specific project scenarios.
Learning objectives
Explain how AI is transforming the project management profession.
Describe the importance of integrating human strengths with AI capabilities.
Build an AI project model and discuss specific use cases for artificial intelligence.
Explain how AI can be used to monitor projects in real-time and forecast more accurately.
Walk through how to derive value from data with AI and apply it to projects.
Select AI tools that best meet the needs of specific project scenarios.
Skills covered
Project Management SkillsArtificial Intelligence for BusinessProject ManagementBusiness Analysis and StrategyOne-Off
Concepts
0. Introduction
- 01 - Artificial intelligence meets project management
- 02 - The importance of AI for project management
1. How Project Managers Can Complement AI
- 03 - Anticipate change to prepare for AI disruption
- 04 - Think entrepreneurially to complement AI
- 05 - Engage AI stakeholders
- 06 - Act as a project translator to add value to AI
2. Deriving Value from Data with AI
- 07 - Curate data with AI
- 08 - Glean data insights with AI
- 09 - Make data-driven decisions with AI
3. Building an AI Project Model
- 10 - Determine requirements for your AI project model
- 11 - Choose cloud-based software for your AI project model
- 12 - Integrate apps to enhance your AI project model
4. Managing Projects with AI
- 13 - Initiate projects with AI
- 14 - Plan projects with AI
- 15 - Execute projects with AI
- 16 - Monitor and control projects with AI
- 17 - Close projects with AI
- 18 - Integrate projects with AI
5. AI in Action - Practical Ways to Use It
- 19 - Communicate naturally with conversational AI
- 20 - Create new content with generative AI
- 21 - Streamline processes with intelligent automation
Conclusion
- 22 - Bringing it all together