1 Introduction : AI and IoT use cases in an Industrial scenario
2 Tech Architecture of a typical application that involves AI and IoT
3 Fundamentals of AI and machine learning
4 How does a human learn vs how does a machine learn?
5 Different types of AI problem statements for IoT
6 Understanding a typical IoT dataset used for AI
7 Uploading dataset for Exploratory data analysis (EDA)
8 Top 5 things to look at for EDA
9 Practically visualize the impact of bad and good data on AI accuracy
10 Practically visually the impact of an algorithm change on AI accuracy
11 Learn and visualize the impact of selecting the correct input parameters for an AI use case for IoT