AI for Telecom
This course explores the impact of artificial intelligence (AI) on the telecom industry, covering its applications in network optimization, customer experience, fraud detection, and business automation.
eLearning
€ 595*
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CONTENTS
Artificial Intelligence (AI) is revolutionizing the telecom sector, driving advancements that optimize networks, improve customer interactions, and streamline operations. This course provides a practical understanding of AI in telecom, suitable for both technical and non-technical learners.
By delving into AI’s applications across network management, fraud detection, predictive maintenance, and customer service, you’ll gain the knowledge needed to navigate the evolving telecom landscape. Whether you’re interacting with engineers, managers, or customers, this course equips you to understand the critical role AI plays in shaping telecom’s present and future. You’ll explore real-world case studies, ethical considerations, and the challenges AI faces in a highly regulated industry, providing you with a comprehensive overview of AI’s growing influence in telecom.
COURSE OBJECTIVES
By the end of this course, you will be able to:
- – Explain the fundamental role and evolution of AI in telecom networks.
- – Analyze use cases for AI-driven optimization, predictive maintenance, and customer service.
- – Evaluate ethical and regulatory considerations for AI adoption in telecom.
- – Understand AI-enabled solutions in areas like SDN/NFV, network slicing, and RPA.
- – Overcome telecom challenges using AI-powered fault detection and risk mitigation strategies.
TARGET AUDIENCE
- – Network Engineers and Architects
- – Telecom Product Managers
- – Operations & IT Professionals
- – AI/ML Engineers entering the telecom space
- – Professionals preparing for AI-led digital transformation in telecom
Course outline
• Core Concepts and Definitions of AI in Telecom
• Evolution of AI in Telecommunications
• Ethical Considerations and Regulatory Frameworks
• AI-Driven Network Optimization and Resource Allocation
• AI in Software-Defined Networking (SDN) and Network Function Virtualization (NFV)
• Predictive Maintenance and Fault Detection
• AI-Driven Customer Service Automation
• Personalized Recommendation Systems
• Predictive Analytics for Customer Churn
• AI-Powered Robotic Process Automation (RPA)
• AI for Billing, Revenue Optimization, and Financial Forecasting
• Workforce Optimization and Scheduling
• AI-Powered Cybersecurity: Threat Detection and Monitoring
• AI-Driven Fraud Prevention and Risk Mitigation
• Compliance, Transparency, and Ethical AI
• AI-Driven Transformation of Customer Service
• AI Applications in Telecom Operations
• AI-Powered Cybersecurity Implementations
• AI in 6G and Next-Generation Networks
• AI and IoT Integration for Smart Infrastructure
• AI-Driven Immersive Experiences: AR/VR and the Metaverse
Prerequisites
- Basic understanding of telecommunications networks (e.g., 4G/5G architecture).
- Familiarity with core IT or data concepts.
- No prior AI knowledge required.