Certificate Authentication

Introduction

• Welcome and overview of course goals
• The strategic importance of edge computing and AI in driving digital transformation

Section 1: Strategic Foundations of Edge Computing and AI

• Evolution of edge computing and its convergence with AI
• Strategic benefits and competitive advantages for businesses
• Virtual Coffee Break & Networking

Section 2: Architectural and Technological Overview

• Key architectural principles of edge computing
• Delving into the foundational architecture of edge computing and discussing the pivotal role of cloud services in extending these capabilities.
• Integration of Cloud Services in Edge Computing:
  • AWS Services: Overview of AWS IoT Greengrass, AWS Wavelength for ultra-low latency applications, and AWS Outposts for bringing AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility.
• Microsoft Azure: Discussion on Azure Edge Zones for seamless integration and synchronization with Azure services, Azure IoT Edge for bringing cloud analytics and custom logic to edge devices, and Azure Stack for extending Azure functionalities into hybrid environments.
• Google Cloud: Explanation of Google Anthos for managing applications in multi-cloud environments and Google Cloud IoT Edge, which enables processing at the edge using Google’s advanced AI and machine learning capabilities.
• Enhancement of Edge Capabilities through AI:
• Real-time analytics and predictive maintenance.
• How AI and machine learning models at the edge are transforming industries through immediate data processing without the latency of communicating with a central cloud.
• Breakout Session: Identifying strategic opportunities for edge AI in various sectors

Section 3: Industry-Wide Applications and Case Studies

• Deep dive into transformative use cases across different industries
• Interactive discussion on lessons learned from case studies and their strategic implications

Lunch Break

Section 4: Designing a Future-Proof Edge AI Strategy

• Frameworks for developing and implementing edge AI strategies
• Identifying and overcoming strategic challenges: scalability, security, and interoperability
• Workshop: Crafting a tailored edge AI strategic plan for participants’ organizations
• Virtual Coffee Break & Networking

Section 5: Future Trends and Emerging Technologies in Edge AI

• Exploration of the latest trends and upcoming technologies in edge computing and AI, focusing on innovations that are set to shape the future landscape of digital transformation.
• Discussion on how these emerging technologies can be harnessed for strategic advantage and what they mean for future business models and operations.

Wrap-Up and Closing Remarks

• Recap of key insights and strategic frameworks covered throughout the course.
• Final Q&A session to address any lingering questions, ensuring participants leave with a clear understanding of how to apply what they’ve learned to their strategic planning.
• Closing remarks, highlighting the importance of staying informed and adaptable to leverage edge computing and AI effectively in an ever-evolving technological landscape.

Networking and Feedback Session

Participants are encouraged to provide feedback on the course, sharing insights on how the course met their expectations and areas for future improvement.