Digital Transformation with IoT and Edge Computing Training Course

Explore the innovative domain of edge computing with this advanced course designed for government professionals. Delve into sophisticated architectures and address integration challenges, equipping yourself to harness the full potential of edge computing in diverse public sector environments. Acquire expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific industry needs for government.

This course is designed to instill principles surrounding an organization’s transformation through the use of digital technologies and business models. It aims to enhance business performance and enable the efficient leveraging of technology to meet strategic organizational goals.

The highly interactive course spans 5 days and features a modular structure with periodic assessments, case studies, and tools to equip participants with advanced capabilities for innovation, digitization, and transformation. In today’s digital-centric environment, it is crucial for organizations to compete effectively in the digital economy. While many courses focus on the theory of Digital Transformation, they often fail to provide practical guidance on successful execution.

This course addresses this gap by utilizing the THRIVE framework (Transformation, Holistic, Response, Innovate, Value, and Enterprise) and incorporating real-life case studies and examples. It is tailored to ensure that participants gain actionable insights and strategies for government and organizational success.

Terms such as big data, artificial intelligence (AI), and autonomous vehicles have become integral to legal and political discussions, highlighting the significant impact of emerging technologies. While these innovations bring numerous benefits, they also present substantial societal challenges. This Massive Open Online Course (MOOC) on digital governance addresses these issues by offering comprehensive insights into their effects on law and politics. It identifies potential risks under EU law and provides practical tools to analyze and mitigate these challenges. Join us for this enlightening journey, designed by international experts in digital governance, to enhance your understanding of these critical issues for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at business leaders who wish to undertake a Digital Transformation within their organizations for government.

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

• Explain the principles of Digital Transformation
• Identify areas within an organization where digitization is most beneficial
• Develop a digitization strategy that outlines the necessary changes in processes, technology, and training.

Integrate the transformative capabilities of artificial intelligence (AI) with the agility of edge computing in this comprehensive course designed for government professionals. Participants will learn to deploy AI models directly on edge devices, covering topics from understanding convolutional neural network (CNN) architectures to mastering knowledge distillation and federated learning. This hands-on training will equip you with the skills necessary to optimize AI performance for real-time processing and decision-making at the edge, ensuring alignment with public sector workflows, governance, and accountability.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI to enhance IoT applications with advanced data processing and analytics capabilities.

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

• Understand the foundational principles of Edge AI and its application in IoT systems for government.
• Set up and configure Edge AI environments suitable for IoT devices used in public sector workflows.
• Develop and deploy AI models on edge devices to support IoT applications aligned with government objectives.
• Implement real-time data processing and decision-making capabilities in IoT systems for enhanced governance and accountability.
• Integrate Edge AI with various IoT protocols and platforms commonly used in the public sector.
• Address ethical considerations and best practices in Edge AI deployment for government applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at product managers and developers who wish to utilize Edge Computing to decentralize data management for enhanced performance, leveraging intelligent devices located on the source network for government applications.

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

• Comprehend the fundamental concepts and benefits of Edge Computing.
• Recognize the use cases and examples where Edge Computing can be effectively applied.
• Develop and implement Edge Computing solutions for more efficient data processing and reduced operational costs in public sector environments.

Establish a robust foundation in designing and managing a resilient edge computing infrastructure for government. Gain insights into open hybrid cloud infrastructures, the management of workloads across diverse clouds, and the assurance of flexibility and redundancy. This training offers essential knowledge on creating a scalable and secure infrastructure that supports the dynamic needs of modern applications with edge computing.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to enhance IoT and edge computing solutions for government.

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

• Comprehend the principles and benefits of Federated Learning in the context of IoT and edge computing.
• Deploy Federated Learning models on IoT devices to support decentralized artificial intelligence processing.
• Minimize latency and enhance real-time decision-making capabilities in edge computing environments.
• Tackle challenges related to data privacy and network limitations in IoT systems for government operations.

By the end of the course, participants will be able to:

• Develop and implement a Digital Maturity Assessment Tool tailored for their specific organization.
• Apply the principles of Digital Transformation to address practical organizational challenges.
• Identify and utilize goal-oriented techniques and tools to craft a vision and strategy for the future of their organizations.
• Demonstrate leadership and cultural transformation principles, including self-identification and reflection methods, to drive organizational growth and evolution.
• Employ visioning, goal-setting, and planning techniques to establish a business agenda that supports the future development of their organization, aligned with public sector workflows for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner-level digital technology professionals who wish to gain a comprehensive understanding and practical tools for implementing responsible digital practices for government.

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

• Understand the environmental, social, and societal impacts of digital technology in the public sector.
• Learn best practices to reduce digital footprints in both professional and personal activities within government workflows.
• Acquire knowledge of eco-design principles for sustainable digital services for government.
• Implement responsible digital practices in their work to enhance governance and accountability.

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

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

• Understand Digital Transformation in the context of security for government.
• Learn how digital solutions can enhance security operations, efficiency, and effectiveness within public sector workflows.
• Manage security-related data to support informed decision-making and governance for government.