Digital Transformation with IoT and Edge Computing

• Basic understanding of cloud computing and data processing concepts
• Familiarity with IoT devices and networking fundamentals

Audience

• IT professionals and developers interested in IoT and edge computing solutions
• Business leaders looking to leverage IoT and edge computing for digital transformation
• Operations managers in manufacturing, logistics, and energy sectors

The convergence of Internet of Things (IoT) and edge computing is transforming business operations by enabling real-time data processing and decision-making at the data source. Edge computing reduces latency and allows for immediate responses, making it ideal for sectors where rapid data processing is essential, such as manufacturing, logistics, and energy. This course explores the architecture, applications, and benefits of integrating IoT with edge computing, providing participants with the knowledge to drive digital transformation in their organizations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enabling efficiency, real-time processing, and innovation in various industries.

By the end of this training, participants will be able to:

• Understand the principles of IoT and edge computing and their role in digital transformation.
• Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors.
• Differentiate between edge and cloud computing architectures and deployment scenarios.
• Implement edge computing solutions for predictive maintenance and real-time decision-making.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to IoT and Edge Computing

• Overview of IoT and edge computing concepts
• Benefits of IoT for real-time data processing
• Comparison of edge vs. cloud computing

IoT Architecture and Components

• Key components of IoT systems: sensors, gateways, and devices
• IoT data flow and communication protocols
• Designing secure and scalable IoT architectures

Edge Computing Fundamentals

• What is edge computing and why is it important?
• Edge devices and processing capabilities
• Data storage and analytics at the edge

Use Cases in Digital Transformation

• IoT and edge computing in manufacturing
• Applications in logistics and supply chain
• Energy management and optimization through edge solutions

Implementing Predictive Maintenance

• Introduction to predictive maintenance with IoT
• Leveraging edge computing for real-time monitoring
• Case studies in predictive maintenance applications

Security and Privacy in IoT and Edge Computing

• Challenges in securing IoT and edge computing environments
• Data protection and compliance considerations
• Best practices for securing edge devices and IoT systems

Future Trends in IoT and Edge Computing

• Emerging technologies in IoT and edge
• 5G integration and its impact on IoT and edge computing
• Opportunities and challenges for businesses adopting edge solutions

Summary and Next Steps