AI for Telecom - Advanced L3 - Leveraging AI for Telecom
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The document outlines a 24-hour advanced course on AI for telecom, designed for telecom engineers with basic to intermediate knowledge. It covers advanced deep learning techniques, applications of AI in edge computing and IoT, and the future of AI in next-generation telecom networks over three days. The course includes practical sessions and case studies to enhance understanding and illustrate real-world applications.
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AI for Telecom - Advanced L3 - Leveraging AI for Telecom
- 1. © www.TelcoLearn.com | +91-8810549800 AI FOR TELECOM – ADVANCED L3 DURATION : 24 HOURS DELIVERY MODE: ILT/VILT – Instructor Led Delivery, Virtual Instructor Led Delivery PRE-REQUISITE: AI for Telecom – Basic And Intermediate TARGET AUDIENCES: Telecom Engineers with Basic to Intermediate knowledge of Telecom, AI/ML Agenda: Day 1: Advanced Deep Learning Techniques in Telecom • Advanced deep learning architectures: generative adversarial networks (GANs), transformer models • Transfer learning and fine-tuning for telecom applications. • Deep reinforcement learning for telecom network optimization. • Case studies and research trends in deep learning for telecom Day 2: AI in Edge Computing and IoT for Telecom • Edge intelligence in telecom: challenges and opportunities • AI-driven IoT applications in telecom: smart cities, connected vehicles, industrial IoT • Federated learning and edge computing for privacy-preserving AI in telecom • Practical session: implementing AI algorithms for edge computing in telecom scenarios Day 3: AI for Next-Generation Telecom Networks • AI-driven 5G and Beyond: network slicing, dynamic spectrum management • Quantum computing and AI in telecom: opportunities and challenges • Autonomous networking and cognitive radio systems using AI • Future directions and emerging technologies in AI for telecom networks