Course curriculum

  • 1

    Welcome

    • Canvass Intro

    • How to use this course

    • Survey: Before we begin
  • 2

    Basics

    • What is AI

    • Machine Learning

    • Key Elements of AI

    • Survey: Basics
  • 3

    Use Cases

    • Well collapse forecasting

    • Moisture forecasting

    • Fuel consumption optimization

    • Material strength prediction

    • Blast furnace optimization

    • Survey: Use Cases
  • 4

    Canvass Platform

    • Canvass Platform

    • Canvass Platform Workflow

    • Canvass Platform Benefits

    • Canvass AI Templates

    • Survey: Canvass Platform
  • 5

    Data Ingestion

    • Data Requirements

    • Data Collection Guidelines

    • Data Formatting

    • Sample Project

    • Sample File

    • Login and Data Upload

    • Survey: Login and Data Upload
  • 6

    Data Exploration

    • Numerical and Categorical Tags

    • High Level Statistical Insights

    • Visualization Tools

    • Numerical - Time Series Analysis

    • Numerical - Histogram Analysis

    • Numerical - Scatter Plot Analysis

    • Numerical - Missing Data Chart

    • Categorical - Time Series Analysis

    • Categorical - Bar Chart Analysis

    • Categorical - Scatter Plot Analysis

    • Categorical - Missing Data Chart

    • Raw Data Table

    • Correlation Analysis

    • Adding New Data

    • Renaming and Deleting Projects

    • Survey: Data Exploration
  • 7

    Data Preparation

    • Tag Aliasing and Description

    • Fill in Missing Data Points

    • Remove Outliers based on Thresholds

    • Time Range Removal

    • Define Proper Data Time Range

    • Prepare Data Using Categorical Tags

    • Select Informative Tags for AI Modeling

    • Optimize Sampling Rate

    • Survey: Data Preparation
  • 8

    Model Training

    • Coming Soon
  • 9

    Model Evaluation and Experiments

    • Coming Soon
  • 10

    Solution Architecture

    • Coming Soon
  • 11

    Live Streaming

    • Live Streaming

    • Survey: Live Streaming
  • 12

    Deploying & Monitoring

    • Deployment

    • Monitoring

    • Survey: Deployment & Monitoring