Master Digital Twins: Industry 4.0 Implementation Pro Guide
 Focused View
                                    17:15:32
1 - Overview of Industry 40.mp4
 04:52   
2 - Fourth Industrial Era.mp4
 03:35   
3 - Key Technologies Part1.mp4
 04:43   
4 - Key Technologies Part2.mp4
 23:45   
5 - Benefits of Industry 40.mp4
 06:27   
6 - Challenges of Industry 40.mp4
 08:09   
7 - Introduction to Digital Twins.mp4
 23:03   
8 - Applications of Digital Twins.mp4
 20:42   
9 - History and Development.mp4
 21:55   
10 - Key Components.mp4
 31:17   
11 - Types of Digital Twins.mp4
 32:30   
12 - Overview of Digital Twin Architecture.mp4
 01:47   
13 - Layers and Components.mp4
 06:59   
14 - Layers and Components Part 2.mp4
 20:40   
15 - Key Consideration.mp4
 09:09   
16 - Key Consideration Part2.mp4
 13:04   
17 - Data Integration.mp4
 17:26   
18 - Data Integration Technologies.mp4
 17:45   
19 - Communication Protocols Introduction.mp4
 11:45   
20 - Major Communication Protocols.mp4
 29:53   
21 - Modeling and Simulation.mp4
 04:14   
22 - Types of Models in Digital Twins.mp4
 05:32   
23 - Types of Models in Digital Twins Part2.mp4
 07:41   
24 - Types of Models in Digital Twins Part3.mp4
 03:36   
25 - Types of Models in Digital Twins Part4.mp4
 06:01   
26 - RealTime Simulation Techniques.mp4
 08:21   
27 - RealTime Simulation Techniques Part2.mp4
 13:12   
28 - Predictive Simulation Techniques.mp4
 11:42   
29 - Realtime and Predictive Simulation.mp4
 10:44   
30 - Tools and Software.mp4
 05:54   
31 - Analysis of Tools.mp4
 23:32   
32 - Overview of Data Analytics.mp4
 04:02   
33 - Role of Data Analytics.mp4
 15:56   
34 - Types of Data Analytics.mp4
 23:13   
35 - Visualization and reporting.mp4
 07:44   
36 - AI and Machine Learning.mp4
 10:00   
37 - Role of AI and Machine Learning in Digital Twins.mp4
 20:19   
38 - Case Studies.mp4
 04:37   
39 - Realworld Examples.mp4
 16:50   
40 - Module Introduction.mp4
 00:41   
41 - Planning and Strategy.mp4
 22:36   
42 - Steps for Implementation.mp4
 05:39   
43 - Steps for Implementation Part 2.mp4
 17:10   
44 - Challenges and Solutions.mp4
 15:55   
45 - Challenges and Solutions Part 2.mp4
 24:20   
46 - Challenges and Solutions Part 3.mp4
 18:36   
47 - Best Practices.mp4
 22:39   
48 - Digital Twin in Product Lifecycle Management PLM.mp4
 04:34   
49 - PLM Overview.mp4
 30:45   
50 - Enhancing PLM.mp4
 13:22   
51 - How digital twins enhance PLM processes.mp4
 16:25   
52 - Industry Examples.mp4
 13:30   
53 - Industry Examples Part2.mp4
 16:04   
54 - Smart Manufacturing Overview.mp4
 04:54   
55 - Digital Twins in Smart Manufacturing.mp4
 17:08   
56 - Integration with IoT.mp4
 13:44   
57 - Understanding Digital Twins in Smart Manufacturing.mp4
 17:41   
58 - Case Studies.mp4
 17:54   
59 - Realworld Applications.mp4
 12:39   
60 - Digital Twins in Maintenance and Optimization.mp4
 03:43   
61 - How digital twins are used for predictive maintenance.mp4
 22:26   
62 - Techniques and Tools.mp4
 31:16   
63 - Process and Performance Optimization.mp4
 03:31   
64 - Process and Performance Optimization Part2.mp4
 37:07   
65 - Examples of successful maintenance and optimization using digital twins.mp4
 27:36   
66 - Future Trends and Innovations.mp4
 02:30   
67 - Emerging Technologies.mp4
 20:02   
68 - Emerging Technologies Part2.mp4
 24:27   
69 - Innovations in Digital Twins.mp4
 23:50   
70 - Future Outlook.mp4
 20:12   
More details
Course Overview
This comprehensive course provides expert training on Digital Twin technology and its practical applications in Industry 4.0, covering architecture, implementation strategies, and real-world case studies for smart manufacturing and predictive maintenance.
What You'll Learn
- Digital Twin architecture, modeling, and simulation techniques
 - Integration with IoT, AI, and data analytics for Industry 4.0
 - Implementation strategies for smart manufacturing and product lifecycle management
 
Who This Is For
- Manufacturing professionals transitioning to Industry 4.0
 - Engineering students specializing in digital technologies
 - Tech professionals exploring Digital Twin applications
 
Key Benefits
- No prerequisites - suitable for beginners and experts alike
 - Practical case studies from real industrial applications
 - Future-focused curriculum covering emerging trends
 
Curriculum Highlights
- Industry 4.0 Foundations & Digital Twin Basics
 - Advanced Modeling & Simulation Techniques
 - Smart Manufacturing Implementation Strategies
 
  Focused display
                                
                                            Category 
                                            
                                        
                                    - language english
 - Training sessions 70
 - duration 17:15:32
 - Release Date 2025/05/10