Digital Transformation with IoT and Edge Computing Training Course

Designed for business leaders seeking to implement Digital Transformation within their organizations, this instructor-led live training in Vietnam can be delivered either online or onsite.

Upon completion of this training, participants will gain the ability to:

• Explain the core concepts underlying Digital Transformation
• Pinpoint organizational areas that are suitable for digitization efforts
• Develop a comprehensive digitization strategy outlining necessary adjustments in processes, technology, and training.

This instructor-led, live training in Vietnam (available online or onsite) is designed for intermediate to advanced IT leaders, compliance officers, and digital transformation managers aiming to apply a structured roadmap approach to executing digital sovereignty initiatives.

By the end of this course, participants will be able to: assess their organization's digital sovereignty maturity, develop a comprehensive strategy, create an actionable implementation roadmap, and establish robust governance frameworks.

This instructor-led live training, located in Vietnam (offered online or onsite), is designed for intermediate-level developers, system architects, and industry professionals seeking to leverage Edge AI to augment IoT applications with sophisticated data processing and analytical capabilities.

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

• Comprehend the core principles of Edge AI and its integration into IoT systems.
• Prepare and configure Edge AI environments suitable for IoT device operation.
• Create and install AI models on edge devices to support IoT applications.
• Deploy real-time data processing mechanisms and decision-making algorithms in IoT systems.
• Connect Edge AI solutions with various IoT protocols and platform ecosystems.
• Address ethical concerns and adopt best practices for Edge AI deployment in IoT.

This instructor-led live training in Vietnam (online or onsite) is designed for product managers and developers who wish to utilize Edge Computing to decentralize data management, achieving faster performance by leveraging smart devices located on the source network.

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

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

This instructor-led, live training in Vietnam (available online or onsite) is designed for intermediate-level professionals who aim to apply Federated Learning to optimize IoT and edge computing solutions.

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

• Gain a solid understanding of the principles and advantages of Federated Learning in IoT and edge computing contexts.
• Deploy Federated Learning models on IoT devices to enable decentralized AI processing.
• Minimize latency and enhance real-time decision-making capabilities within edge computing environments.
• Tackle challenges associated with data privacy and network limitations in IoT systems.

This instructor-led, live training in Vietnam (online or onsite) targets beginner-level digital technology professionals who wish to acquire comprehensive knowledge and practical tools for understanding and acting on responsible digital practices.

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