Leading AI and ML Projects

Learners will identify the unique characteristics and challenges of AI/ML projects, understand common AI/ML terminology, evaluate and mitigate AI-specific risks, and lead and communicate effectively with cross-functional teams as well as key business stakeholders. Using MLOps principles to guide project planning and execution, at the end of this course you will be able to design comprehensive project plans that address the unique challenges of AI/ML development, assess the feasibility and resource requirements of proposed AI/ML initiatives, break down complex AI/ML projects into manageable phases and deliverables, and critique project progress using appropriate technical and business metrics.

• Essential AI/ML Terminology and Concepts
• Understanding AI/ML Project Fundamentals
• AI/ML Project Lifecycle and Methodologies
• Scoping and Planning AI/ML Projects
• Building and Managing AI/ML Teams
• Risk Management in AI/ML Projects
• Stakeholder Management and Communication
• Monitoring and Measuring Success
• Prompt Engineering for Project Managers
• Deployment and Production Considerations

This course assumes a foundational understanding of project management.

This 2-day course is designed for project managers who want to effectively lead artificial intelligence and machine learning initiatives. The course assumes foundational project management knowledge and focuses on the unique aspects of AI/ML project leadership.