Course Details

Industry 4.0 & the Role of AI/ML

Assessment – Industry 4.0 & the Role of AI/ML

Industrial Use Cases: Quality Inspection, Predictive Maintenance, Yield Optimization

Assessment – Industrial Use Cases: Quality Inspection, Predictive Maintenance, Yield Optimization

Types of Data: Sensor Data, Log Data, Images, Structured vs Unstructured

Assessment – Types of Data: Sensor Data, Log Data, Images, Structured vs Unstructured

Overview of SCADA, MES, UNS, JSON-based Data Exchange

Assessment – Overview of SCADA, MES, UNS, JSON-based Data Exchange

Python: NumPy, Pandas, Basic Data Operations

Assessment – Python: NumPy, Pandas, Basic Data Operations

Intro to Orange Data Mining: Visual Workflows, Widgets for Classification/Regression

Assessment – Intro to Orange Data Mining: Visual Workflows, Widgets for Classification/Regression

Exploring Datasets Visually with Orange

Assessment – Exploring Datasets Visually with Orange

Case: Visual Exploration of OEE Data from Simulated MES Outputs

Assessment – Case: Visual Exploration of OEE Data from Simulated MES Outputs

Time-Series Handling and Missing Data

Assessment – Time-Series Handling and Missing Data

Outlier Detection (Python and Orange)

Assessment – Outlier Detection (Python and Orange)

Feature Engineering and Normalization

Assessment – Feature Engineering and Normalization

Orange: Applying Transformations and Visualizing Impacts

Assessment – Orange: Applying Transformations and Visualizing Impacts

EDA with Seaborn/Plotly vs Orange

Assessment – EDA with Seaborn/Plotly vs Orange

Industrial KPI Dashboard Concepts

Assessment – Industrial KPI Dashboard Concepts

Hands-On: Using Orange to Create Workflow for Yield Anomaly Detection

Supervised Learning, Model Evaluation, Data Splitting

Assessment – Supervised Learning, Model Evaluation, Data Splitting

Orange: Classification And Regression Workflows

Assessment – Orange: Classification And Regression Workflows

Orange Widgets: Confusion Matrix, ROC, Feature Scoring

Assessment – Orange Widgets: Confusion Matrix, ROC, Feature Scoring

Scikit-Learn Introduction For Programmatic Control

Assessment – Scikit-Learn Introduction For Programmatic Control

Decision Trees, Random Forests, Xgboost

Assessment – Decision Trees, Random Forests, Xgboost

Fault Classification And Product Binning

Assessment – Fault Classification And Product Binning

Hands-On: Build Defect Prediction Workflow In Orange And Python

Assessment – Hands-On: Build Defect Prediction Workflow In Orange And Python

K-Means, DBSCAN (Orange: Silhouette Scoring, PCA Widgets)

Assessment – K-Means, DBSCAN (Orange: Silhouette Scoring, PCA Widgets)

Visualizing Operator Behavior Clusters From MES Logs

Assessment – Visualizing Operator Behavior Clusters From MES Logs

Industrial Image Feature Reduction Using T-SNE

Assessment – Industrial Image Feature Reduction Using T-SNE

Resampling, Rolling Windows, Smoothing Techniques

Time-Series Visualization Using Orange Add-Ons

Autocorrelation And Trend Detection

ARIMA, Prophet, ML-Based Forecasting

Orange Time Series Add-Ons For Visual Forecasting

Use Case: Energy Usage Forecasting In A Plant

Predicting RUL (Remaining Useful Life)

Orange: Model Prototyping With Sensor Failure Data

Feature Extraction From Vibration, Current, And Thermal Data

Isolation Forest, One-Class SVM

Orange Anomaly Detection Workflows

Case: Detecting Abnormal Power Consumption Patterns

Neural Networks, Activation Functions

Orange Neural Network Widget & Limitations

Transition To Tensorflow/Pytorch For Full Control

Image Preprocessing, Filters, Edge Detection

Barcode/QR Code Recognition In Quality Inspection

Use Case: OCR For Equipment Panels

Transfer Learning (Efficientnet, Resnet)

Custom Dataset Labeling And Augmentation

Real-Time Inference Using Tensorflow Lite

Labellmg, Roboflow, And Synthetic Generation

Orange: Visual Comparison Of Image Classification Results

Hands-On: Compare Orange Image Classification Vs Tensorflow CNN

Jetson Nano, Raspberry Pi Basics

Converting Models For Edge Deployment (TF Lite, ONNX)

Visualize Inference Via Node-RED And MQTT

JSON SCADA And MES Architectures

Orange: Connecting Models To Live Streams Using Add-Ons Or Python Bridges

Packaging Models Into REST APIs

MQTT + UNS Structure For AI Integration

Using Node-RED To Publish Sensor Data

Couchdb For Storing ML Results And Logs

Grafana And Plotly Dash Dashboards

Visual Alerts And Kpis From Model Predictions

Orange: Final Visualization Workflows For Industry