Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Certified Digital Twin Specialist
1. Introduction to Digital Twins
1.1 What Are Digital Twins Definition and Evolution (15:10)
1.2 Digital Twins vs Simulations vs Digital Models (18:35)
1.3 Core Concepts Real-Time Sync and Representation (22:19)
1.4 Benefits of Digital Twins in Modern Industries (20:07)
1.5 Key Trends and Emerging Technologies (23:56)
2. Digital Twin Architecture IoT Connectivity
2.1 Components of a Digital Twin System (22:41)
2.2 IoT Sensors Actuators and Data Acquisition Basics (24:31)
2.3 Connectivity Protocols and Network Architecture (25:44)
2.4 Integrating Edge and Cloud Computing (19:12)
2.5 Designing Real-Time System Bridges (19:12)
3. Tools for Modeling and Simulation
3.1 Popular Digital Twin Platforms and Tools (21:04)
3.2 Creating Digital Models with CAD and CAE (21:49)
3.3 Data-Driven Modeling Techniques (19:35)
3.4 Running Effective Simulations (26:15)
3.5 Simulation Best Practices in Industry (26:54)
4. Data Integration and Analytics
4.1 IoT Data Collection and Aggregation Methods (26:20)
4.2 Machine Learning in Digital Twins (23:04)
4.3 Real-Time Data Pipelines and Tools (23:56)
4.4 Using Feedback Loops for Optimization (25:29)
4.5 Dashboards and Monitoring Interfaces (25:41)
5. Industry Use Cases and Applications
5.1 Manufacturing Predictive Maintenance and Optimization (17:16)
5.2 Smart Cities Planning and Infrastructure Use Cases (20:39)
5.3 Healthcare Monitoring Management and Efficiency (21:31)
5.4 Comparative Case Studies Across Sectors (21:29)
5.3 Healthcare Monitoring Management and Efficiency
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock