Hi Everyone,

We're nearing the end of the AI Enterprise Workflow Course and study group. We've just completed course five: Enterprise Model Deployment. This has been my favorite course in the series so far. I really enjoyed digging into the ins and outs of model deployment with tools like Docker, Spark and Flask. 

Here's are some of the topics we explored in week 1:

• Apache Spark's RDDs, dataframes, and a pipeline
• Using spark-submit scripts to interface with Spark environments
• Deploying a Flask app with Docker to deploy the ML model
• Deploying machine learning models from Watson Studio to Watson Machine Learning

And in week 2:

• Building a data ingestion pipeline using Apache Spark
• Tuning hyperparameters in machine learning models on Apache Spark
• Explaining how collaborative filtering and content-based filtering work

You can watch the study group videos below and if you haven't already, check out the class on Coursera.