Focus on the most value generating proof-of-concepts by giving your developers an extensive introduction to ML and the concepts around it. The course can be given either at a decision maker level or at a developer level.
ML learning methods and data domains
Model evaluation and bias mitigation
AutoML and ML APIs
Finding and reusing datasets
Ethics and legal considerations for machine learning