Join us at 1pm PT for a panel discussion on how to develop an AI/ML course!

Learn from IBM's own @Ana Echeverri and other accomplished course creators, how ML/AI courses are developed, and how you can create great courses too. Topics to be discussed include: 

• How to identify the knowledge or skill gap addressed by your course 
• What step must be taken to refine the scope and timeline of your course
• What tools and resources were helpful when designing and implementing your course
• What particular resources were helpful in developing best practices for student engagement and learning
• Q&A

Panelists

• Ana Echeverri: Data and AI Expert Labs Learning Leader at IBM; spearheaded the creation of an Open Source Data Science Curriculum Kit (OpenDS4All)
• Jennifer Priestley: Statistics and Data Science Professor at Kennesaw State University, Developer of OpenDS4All curriculum
• Robert Osazuwa Ness: Professor at Northeastern University, research scientist at Gamalon, developer of "Causal Modeling in ML" course
• Torbjörn Nordling: Assistant Professor in Automatic Control at National Cheng Kung University, Senior Lecturer in Media Technology at Umeå University, and Principal Investigator at the Nordling Lab

• Luigi Patruno: Director of Data Science at 2U, course creator: End-to-End Model Deployment with Amazon SageMaker 

This event is free! Register Here to attend. Just select 'Going' and you'll be prompted to register if you haven't already signed up for TWIMLfest. Return to the same session page Thursday at 1pm PT and click on the zoom link to enter the session. 

That's it! Hope to see you there!

Sam