- Level Intermediate
- Ratings
- Duration 10 hours
- Course by Johns Hopkins University
- Total students 2,909 enrolled
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Offered by
About
The course "AI Project Management" equips learners with the tools and strategies to successfully design, manage, and scale AI projects in real-world environments. Covering the entire lifecycle of AI project management, from resource planning to deployment, the course emphasizes effective practices for optimizing performance, minimizing risks, and addressing ethical challenges. Learners will explore key management principles, such as balancing scalability with budget constraints, mitigating biases in AI systems, and fostering team collaboration.
What makes this course unique is its focus on both the technical and human aspects of AI project management. By analyzing the labor dynamics of AI adoption and exploring strategies to create cognitively diverse teams, participants gain insights into building inclusive, sustainable AI solutions. Case studies and practical examples ensure that learners leave with actionable knowledge to lead AI initiatives confidently. Whether scaling existing projects or implementing new ones, this course provides the expertise to succeed in today's AI-driven landscape.
Skills you learn
- Agile Methodology
- Scalability
- Change Management
- Budget Management
- MLOps (Machine Learning Operations)
- Artificial Intelligence
- Data Ethics
- Project Management
- Business Ethics
- Risk Analysis
- Performance Management
- Cost Management
- Stakeholder Management
- Human Resources Management and Planning
- Risk Management
- Team Management
Modules
Untitled Lesson
1
Readings
- Course Overview
AI Roles and Skill Development
1
Assignment
- AI Roles and Skill Development
6
Videos
- AI Common Roles and Skills
- AI Roles in Development and Production
- The AI Flash Team
- The Talent Supply Chain
- Designing AI Role Structures in an Organization
- Skills and Training Assessment
1
Readings
- Reading References
Labor Trends and Performance Assessment
1
Assignment
- Labor Trends and Performance Assessment
5
Videos
- Current and Emerging Labor Trends Part 1
- Current and Emerging Labor Trends Part 2
- Current and Emerging Labor Trends Part 3
- Performance Assessment Part 1
- Performance Assessment Part 2
Module-end Assessments
1
Assignment
- AI Impacts on Labor
Project Design and Management
1
Assignment
- Project Design and Management
5
Videos
- Designing At-Scale AI Projects
- Example Projects
- Management of At-Scale AI Projects
- Operating Models
- Management Considerations
1
Readings
- Comprehensive Framework for Scaling AI Projects
AI Implementation and Financial Considerations
1
Assignment
- AI Implementation and Financial Considerations
6
Videos
- Use Case – Australian Customs and Border Protection
- Solutioning AI Projects
- Cost Estimation and Financials AI Projects
- Financial Key Performance Indicators (KPIs)
- Schedule and Staffing Mobilization - Part 1
- Schedule and Staffing Mobilization - Part 2
1
Readings
- AI Project Management
Module-end Assessments
1
Assignment
- Designing At-Scale AI Projects
Scaling AI: Strategies for Managing and Optimizing Large-Scale AI Projects
1
Assignment
- Scaling AI: Strategies for Managing and Optimizing Large-Scale AI Projects
3
Videos
- Managing At-Scale AI Projects
- Optimizing At-Scale AI Delivery - Part 1
- Optimizing At-Scale AI Delivery - Part 2
1
Readings
- Reading References
Managing At-Scale AI Projects: Agile, Risk, and Stakeholder Strategies
1
Assignment
- Managing At-Scale AI Projects: Agile, Risk, and Stakeholder Strategies
4
Videos
- Agile Methods for At-Scale AI Delivery
- Mitigating Risks in At-Scale AI Projects
- Stakeholder and Change Management
- Demonstrating Sound Management Practices
Module-end Assessments
1
Assignment
- Managing At-Scale AI Projects
Ian McCulloh