Nex-G Innovations

Telecom AI Training

The objective of this training program is to equip participants with a comprehensive understanding of how artificial intelligence (AI) transforms telecom networks, focusing on practical applications in areas such as Radio Access Networks (RAN), core networks, customer experience management, and telecom operations.

Participants will gain hands-on expertise in designing, implementing, and managing AI-driven solutions for network optimization, predictive maintenance, traffic management, and service assurance.

The program also emphasizes emerging trends like AI in 5G/6G, O-RAN, edge computing, and IoT, while addressing business strategies, ethical considerations, and regulatory compliance.By the end of the training, participants will be prepared to drive innovation and operational efficiency in next-generation telecom networks.


Training Code: NES_SK_22599

Duration: 80 Hrs/ 8 Weeks / Customized

Mode: Corporate (Instructor Led - Online / Offline / Onsite), Individual (Instructor Led - Online / Offline)

+91-8826900551

Module 1 - Foundations of Telecom AI

  • Introduction to AI in Telecom
  • Telecom Data Ecosystem
  • Machine Learning Basics
  • AI Workflow in Telecom

Module 2 - AI in Radio Access Networks (RAN)

  • AI-Driven RAN Optimization
  • O-RAN and RAN Intelligent Controller (RIC)
  • AI for Massive MIMO and Beamforming

Module 3 - AI in Core Networks

  • Traffic Routing and Optimization
  • Core Network Security with AI
  • AI for Network Function Virtualization (NFV)

Module 4: AI for Customer Experience Management

  • Personalization Using AI
  • Churn Prediction Models
  • Chatbots and Virtual Assistants

Module 5 - AI in Telecom Operations and Maintenance

  • AI In Predictive Maintenance
  • Energy Efficiency with AI
  • AI for SLA Management

Module 6 - Advanced AI Applications in Telecom

  • AI for 5G and 6G Networks
  • AI and Quantum Networks
  • AI for IoT and Edge Computing

Module 7 - Business and Ethical Considerations in Telecom AI

  • AI Monetization in Telecom
  • Regulatory and Ethical Challenges
  • Future Trends in AI for Telecom

Module 8 - Sample Use Case Analysis and project

  • Programming: Python, TensorFlow, PyTorch
  • Frameworks: Scikit-learn, Open RAN, NetAI

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