AI & Machine Learning Project Leadership: Driving Strategic Impact

The AI & Machine Learning Project Leadership course helps you understand how AI and ML systems are built, trained, and evaluated so you can lead machine learning projects with clarity and confidence. You will learn how data shapes model performance, how engineers develop and refine models, and how to guide ML work across iterative cycles.

Through real case studies, hands-on analysis, and instructor-led guidance, you will build the vocabulary, workflows, and decision-making skills needed to collaborate with technical teams and deliver ML initiatives that create meaningful results in engineering and scientific environments. 

By the end of this course, you will be able to: 

• Define an AI problem and determine the data needed to train and evaluate a model 

• Use essential AI and ML terminology to communicate effectively with technical teams 

• Understand how engineers build, train, and refine ML models and how data shapes performance 

• Evaluate ML models and identify improvements using both technical and human-centered approaches 

• Oversee and enhance the full ML lifecycle to ensure reliable and strategically aligned outcomes 

This course is ideal if you want to lead or support AI and ML initiatives in engineering or scientific environments. It is designed for: 

• Project managers and team leads guiding ML-driven work 

• Business and cross-functional leaders collaborating with ML teams 

• Non-technical professionals who need to understand ML workflows and outcomes