Project coordination is the one hardest task for technical leads. At mid-career, the focus shifts from not just being a technical expert but a leader who can scope, plan, and manage AI projects. It gives lead data scientists the chance to shape strategic outcomes beyond technical work. In this course, instructor Matthew Blasa teaches you project management skills that are often learned through difficult trial and error. Matthew covers high-level questions like: What makes AI project management different from traditional project management? Who are the essential stakeholders in AI projects and how do you align them? How do you properly scope an AI project considering feasibility, value and resources? What are the most common reasons AI projects fail during deployment? And many more.
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