Contents: Getting Started: Software and Hardware Needed -- Overview of IoT and IIoT -- Using Machine Learning with IoT and IIoT in Python -- Using Machine Learning and IoT in Telecom, Energy, and Agriculture -- Preparing for the Case Studies -- Configuring IIoT Energy Meter -- Telecom Industry Case Study: Solving the Problem of Call Drops with IoT -- Energy Industry Case Study: Predictive Maintenance for an Industrial Machine -- Agriculture Industry Case Study: Predicting a Cash Crop Yield.