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AI+ Telecommunications

Price: $3,995.00
Duration: 5 days
Certification: AI+ Telecommunications
Exam: AI+ Telecommunications
Continuing Education Credits:
Learning Credits:

This 5-days course on AI+ Telecommunications provides an in-depth exploration of how artificial intelligence enhances various aspects of the telecom industry. Key topics include the implementation of 5G technologies, which offer improved speed and connectivity, and the critical roles of Quality of Service (QoS) and Quality of Experience (QoE) in ensuring optimal network performance and user satisfaction. Participants will learn about AI-driven network optimization, predictive maintenance, and cybersecurity strategies to safeguard telecom infrastructure. The curriculum also covers natural language processing for customer interactions and IoT integration for smart network management. Through hands-on projects, learners will apply AI techniques to real-world scenarios, culminating in a capstone project that synthesizes their knowledge and skills in addressing contemporary challenges in telecommunications. This course equips participants with the expertise to leverage AI effectively in their organizations, driving innovation and enhancing service delivery.


All students receive:

  • One-Year Subscription (with all updates)
  • High-Quality E-Book
  • Al Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Exam Study Guide
  • AI Agents Module
  • Hands on Labs (in applicable courses)
  • Proctored Exam with one Free Retake
 Download Course Outline

Upcoming Class Dates and Times

All Sunset Learning courses are guaranteed to run

Course Outline and Details

Required:

  • Basic understanding of telecommunications concepts and technologies
  • Familiarity with programming, preferably Python
  • Basic knowledge of data analysis techniques
  • Prior experience with AI
  • Network Architect
  • Network Engineer
  • Understand the role of AI in transforming modern telecommunications and network infrastructures
  • Apply AI for network automation, optimization, and predictive maintenance
  • Leverage AI for improving customer experience, personalization, and service delivery
  • Use AI in managing 5G networks, traffic forecasting, and fault detection
  • Assess the ethical and security implications of deploying AI within telecom ecosystems


Module 1: Introduction to AI in Telecommunications

  • AI Fundamentals in Telecommunications
  • AI Technologies for Telecom
  • Emerging Trends in AI for Telecommunications
  • Case Study
  • Hands-on

Module 2: Data Engineering for Telecom AI

  • Foundation of Telecom Data Engineering
  • Designing and Managing the Telecom Data Pipeline
  • Data Engineering tools and Technology
  • Case Study: SK Telecom’s Big Data Analytics with Metatron Discovery
  • Hands on Exercise

Module 3: AI for 5G Networks

  • Introduction to 5G
  • AI Applications in 5G
  • Enhancing Network Management with AI
  • Case Study
  • Hands-on

Module 4: AI in Network Optimization

  • Predictive Network Management
  • Performance Enhancement Techniques
  • Traffic Management Strategies
  • Case Study
  • Hands-on

Module 5: AI in Network Security

  • Security Threats in Telecom
  • AI Security Solutions
  • Advanced Security Frameworks
  • Case Study
  • Hands-on

Module 6: Enhancing Customer Experience with AI

  • Personalized Customer Service
  • Service Quality Improvement
  • Enhancing Customer Engagement
  • Case Study
  • Hands-on

Module 7: IoT Integration with Telecommunications

  • IoT Fundamentals
  • Managing IoT Security Challenges
  • Enhancing Operational Efficiency with IoT
  • Case Study
  • Hands-on

Module 8: AI-Integrated Network Operations Centers (NOC)

  • Transitioning to AI-driven NOCs
  • Automating escalations and root cause analyses
  • Closed-loop automation with AI and SDN integration
  • Designing AI-ready network architectures
  • Change management strategies for AI rollouts in operations
  • Case Study: Implementation of AI assistants in NOCs

Module 9: Ethical Considerations in Artificial Intelligence

  • Ethical Implications of Using Artificial Intelligence
  • Responsible Deployment Practices
  • Emerging Trends and Challenges
  • Case Study
  • Hands-on

Module 10: Capstone Project

Course Delivery Options

Train face-to-face with the live instructor. (Please note, not all classes will have this option)
Attend the live class from the comfort of your home or office.
Join us in person at our Denver or Reston training facilities! Learn alongside a live, remote instructor in our HD-equipped classrooms. We love having students on-site! An SLI sales rep can confirm availability and reserve your seat.
Access to on-demand training content anytime, anywhere. (Please note, not all classes will have this option)