Course Outline

Introduction to 5G and Edge AI

  • Overview of 5G networks and edge computing
  • Key differences between 4G and 5G for AI applications
  • Challenges and opportunities in ultra-low latency AI

5G Architecture and Edge Computing

  • Understanding 5G network slicing for AI workloads
  • Role of Multi-Access Edge Computing (MEC)
  • Edge AI deployment strategies in telecom environments

Deploying AI Models on Edge Devices with 5G

  • Using TensorFlow Lite and OpenVINO for Edge AI
  • Optimizing AI models for real-time processing
  • Case study: AI-powered video analytics over 5G

Ultra-Low Latency Applications Enabled by 5G

  • Autonomous vehicles and smart transportation
  • AI-driven predictive maintenance in industrial settings
  • Healthcare applications: remote diagnostics and monitoring

Security and Reliability in 5G Edge AI Systems

  • Data privacy and cybersecurity challenges in 5G AI
  • Ensuring AI model robustness in real-time applications
  • Regulatory compliance for AI-powered telecom solutions

Future Trends in 5G and Edge AI

  • Advancements in 6G and AI-driven networking
  • Integration of federated learning with 5G AI
  • Next-generation applications in smart cities and IoT

Summary and Next Steps

Requirements

  • Basic understanding of 5G network architecture
  • Familiarity with AI and machine learning concepts
  • Experience with edge computing and IoT applications

Audience

  • Telecom professionals
  • AI engineers
  • IoT specialists
 21 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 4800 € + VAT*

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