● Create ML workspace
● Upload and using data
● Create experiment
● Train model
● Evaluate model
● Deploy ML model as web service
● Access ML model web service
● Integrate with R or Python scripts

● Azure Databricks overview
● Create Azure Databricks cluster
● Jupyter notebooks overview
● Extract, transform, and load data using Azure Databricks
● Stream data into Azure Databricks using Azure Event Hubs
● Sentiment analysis on streaming data using Azure Databricks
● Visualizing data with Azure Databricks and Power BI Desktop

● Azure Bot Service Overview
● Dialog with Azure Bot
● Customize Azure Bot using C#
● Line Bot Development using C#
● Integrate with LUIS Language Understanding Service
● Integrate with Azure QnA Maker Service