Digital Transformation with IoT and Edge Computing Training Course

This live, instructor-led training in Thailand—delivered either online or onsite—is designed for business leaders looking to implement a Digital Transformation strategy within their organizations.

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

• Explain the fundamental concepts of Digital Transformation.
• Identify organizational areas where implementing digitization is strategically beneficial.
• Develop a digitization strategy that details the required changes across processes, technology, and training.

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

By the end of the session, participants will be able to: assess organizational digital sovereignty maturity, develop a comprehensive strategy, craft an actionable implementation roadmap, and establish robust governance frameworks.

Delivered as an instructor-led, live training in Thailand (either online or on-site), this course is designed for intermediate-level developers, system architects, and industry professionals aiming to empower their IoT applications with intelligent data processing and analytics through Edge AI.

By the conclusion of this training, participants will have acquired the ability to:

• Comprehend the fundamentals of Edge AI and its role 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.

Delivered by an instructor in Thailand (either online or onsite), this live training is designed for intermediate-level professionals looking to leverage Federated Learning to enhance their IoT and edge computing solutions.

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

• Comprehend the foundational principles and benefits of Federated Learning in IoT and edge computing.
• Deploy Federated Learning models on IoT devices for decentralized AI operations.
• Decrease latency and strengthen real-time decision-making in edge environments.
• Address data privacy and network constraint challenges inherent to IoT systems.

This instructor-led, live training in Thailand (online or onsite) targets beginner-level digital technology professionals looking to acquire comprehensive insights and practical tools for responsible digital action.

By the conclusion 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.