Digital Transformation with IoT and Edge Computing Training Course

Terms such as big data, artificial intelligence (AI), and autonomous vehicles are now frequently discussed in legal and political contexts, underscoring the significant impact of emerging technologies. While these innovations offer numerous benefits, they also introduce complex societal challenges. This Massive Open Online Course (MOOC) on digital governance is designed to address these issues, providing a comprehensive examination of their effects on law and politics. The course identifies potential risks under EU law and equips participants with the tools necessary to analyze and mitigate these challenges. Developed by international experts in digital governance, this course is tailored for government officials and professionals seeking to navigate the evolving landscape of technology and policy. Join us for an enlightening journey that enhances your understanding of digital governance for government.

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

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

• Explain the core concepts of Digital Transformation.
• Identify key areas within an organization where digitization is most beneficial and feasible.
• Develop a comprehensive digitization strategy that outlines necessary changes in processes, technology, and training for government operations.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals who aim 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:

• Comprehend the core principles of Edge AI and its application in IoT systems.
• Establish and configure Edge AI environments for IoT devices.
• Create and deploy AI models on edge devices to support IoT applications.
• Execute real-time data processing and decision-making within IoT frameworks.
• Integrate Edge AI with a variety of IoT protocols and platforms.
• Address ethical considerations and best practices in the deployment of Edge AI for government and industry use cases.

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 multiple clouds, and the importance of flexibility and redundancy. This training offers critical knowledge on developing a scalable and secure infrastructure that supports the evolving needs of modern applications through edge computing.

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 (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.