Sunset Learning Turns 30! Discover our story, exclusives, and celebrations →
→
- COURSE
AI+ Telecommunications
Price:
Duration:
Certification:
Exam:
Continuing Education Credits:
Learning Credits:
The AI+ Telecommunications™ course empowers telecom professionals to harness artificial intelligence for smarter, faster, and more efficient networks. Explore AI-driven automation, predictive maintenance, and 5G optimization to enhance connectivity and performance. The course covers network analytics, customer experience enhancement, and intelligent fault detection using AI tools. It bridges telecom expertise with modern AI innovation to prepare professionals for next-generation communication systems.
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
Upcoming Class Dates and Times
All Sunset Learning courses are guaranteed to run
Course Outline and Details
Prerequisites
Required:
- Basic understanding of telecommunications concepts and technologies
- Familiarity with programming, preferably Python
- Basic knowledge of data analysis techniques
- Prior experience with AI
Target Audience
- Network Architect
- Network Engineer
Course Objectives
- 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
Course Outline
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