Digital Transformation with IoT and Edge Computing Training Course

This instructor-led, live training in Hong Kong (online or onsite) is aimed at business leaders wishing to undertake a Digital Transformation within their organizations. 

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

• Describe the concepts of Digital Transformation
• Identify areas of an organization where it makes sense to undertake digitization
• Draw out a digitization strategy that describes the changes needed in process, technology and training.

This instructor-led, live training in Hong Kong (online or onsite) is aimed at intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI for enhancing IoT applications with intelligent data processing and analytics capabilities.

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

• Understand the fundamentals of Edge AI and its application in IoT.
• Set up and configure Edge AI environments for IoT devices.
• Develop and deploy AI models on edge devices for IoT applications.
• Implement real-time data processing and decision-making in IoT systems.
• Integrate Edge AI with various IoT protocols and platforms.
• Address ethical considerations and best practices in Edge AI for IoT.

This instructor-led, live training in Hong Kong (online or onsite) is aimed at product managers and developers who wish to use Edge Computing to decentralize data management for faster performance, leveraging smart devices located on the source network.

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

• Understand the basic concepts and advantages of Edge Computing.
• Identify the use cases and examples where Edge Computing can be applied.
• Design and build Edge Computing solutions for faster data processing and reduced operational costs.

This instructor-led, live training in Hong Kong (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to optimize IoT and edge computing solutions.

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

• Understand the principles and benefits of Federated Learning in IoT and edge computing.
• Implement Federated Learning models on IoT devices for decentralized AI processing.
• Reduce latency and improve real-time decision-making in edge computing environments.
• Address challenges related to data privacy and network constraints in IoT systems.

This instructor-led, live training in Hong Kong (online or onsite) is aimed at beginner-level digital technology professionals who wish to gain comprehensive knowledge and practical tools for understanding and acting on responsible digital practices.

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

• Understand the environmental, social, and societal impacts of digital technology.
• Learn best practices to reduce digital footprints in professional and personal activities.
• Acquire knowledge of eco-design for sustainable digital services.
• Implement responsible digital practices in their work.

This instructor-led, live training in Hong Kong (online or onsite) is aimed at beginner-level security professionals who wish to gain the knowledge and skills necessary to adapt to the rapidly evolving digital landscape in the security industry.

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

• Understanding Digital Transformation in security.
• Learn how digital solutions can improve security operations, efficiency, and effectiveness.
• Manage security-related data for informed decision-making.