Course Code: uc3bs
Duration: 2 hours
Overview:

Objective: Introduce the team to the integration of AI with edge computing in telecoms and provide training on practical applications.

Course Outline:

 

Agenda:

 

Introduction to AI and Edge Computing (15 minutes)

  • Overview of edge computing and its relevance to AI and telecoms.
  • Examples of AI applications at the edge.

 

AI-Driven Edge Computing Solutions (30 minutes)

  • How AI can enhance edge computing in telecoms for real-time data processing and decision-making.
  • Practical exercise: Deploy a simple AI model on an edge device.

 

Edge AI for IoT and Smart Devices (30 minutes)

  • Applications of AI at the edge for IoT and smart devices in telecom networks.
  • Practical exercise: Implement a basic AI solution for an IoT use case.

 

Internal Training on AI and Edge Computing (30 minutes)

  • Developing internal training materials to educate the team on AI and edge computing.
  • Practical exercise: Create a training module or presentation using AI tools.

 

Q&A and Discussion (15 minutes)

  • Addressing questions and discussing the future trends and opportunities in AI and edge computing for telecoms.

 

Materials Needed:

  • Laptops with internet access.
  • Access to edge computing platforms and AI deployment tools.
  • Sample edge devices and IoT setups.