I am putting together an online course on how to process data in real time and how to deploy models into production. 
Right now, I am planning to cover the following in the course:
• Streaming data with Docker
• Apache Beam / DataFlow
• BigQuery
• Intro to TensorFlow and Keras
• Creating a basic CNN model
• Model deployment on Google Cloud (AI Platform)
• Basic visualization in Data StudioEven put together an introduction video on this and a “detailed course syllabus” at  .What are your thoughts? Is this the right amount of material for an intro MLOps course? Is the course missing any essential topics?