AI and the Future of Work: Workflows and Modern Tools for Tech Leaders

“Putting machine learning into production" has a very different definition in 2023 than it did in 2013. The scope of what is possible to achieve with ML has increased significantly, and the associated challenges have grown proportionally. To effectively lead a data science team, you need to understand what you can feasibly expect them to achieve given the current state of ML, what challenges they will inevitably face, and how to navigate the modern ML ecosystem to provide them with support. In this course, instructor Kristen Kehrer teaches you all three. Learn how to streamline AI workflows with modern tools, manage AI projects and teams, collaborate with technical experts. Plus, develop future-proof leadership skills and keep abreast of the latest advancements, trends, and best practices.