Curriculum
- 20 Sections
- 64 Lessons
- 20 Weeks
Expand all sectionsCollapse all sections
- Introduction to Industrial Analytics4
- Python for Data Science & Orange Introduction4
- Data Handling & Preprocessing4
- Exploratory Data Analysis (EDA)3
- ML Concepts via Orange and Python4
- Regression Techniques3
- Classification Models3
- Clustering & Dimensionality Reduction3
- Time-Series Basics3
- Forecasting Methods3
- Predictive Maintenance3
- Anomaly Detection3
- Deep Learning Essentials3
- Industrial Vision with OpenCV3
- CNNs for Quality Inspection3
- Annotation Tools and Synthetic Data3
- AI on Edge3
- MES, SCADA & JSON Integration3
- Unified Namespace (UNS) & Data Pipelines3
- Dashboards & Visual Analytics3
Industrial Use Cases: Quality Inspection, Predictive Maintenance, Yield Optimization
Next
