Course Prerequisites:
Telecommunications Knowledge: Basic understanding of telecommunications concepts and technologies.
Programming Skills: Familiarity with programming, preferably in Python.
Data Analysis: Basic knowledge of data analysis techniques is beneficial.
AI Familiarity: While prior experience with AI is helpful, it is not required to enroll in this course.
Modules:
Module 1: Introduction to AI in Telecommunications
1.1 AI Fundamentals in Telecommunications
1.2 AI Technologies for Telecom
1.3 Emerging Trends in AI for Telecommunications
1.4 Case Study
1.5 Hands-on
Module 2: Data Engineering for Telecom AI
2.1 Foundations of Telecom Data Engineering
2.2 Designing and Managing the Telecom Data Pipeline
2.3 Data Engineering tools and Technology
2.4 Case Study: SK Telecom’s Big Data Analytics with Metatron Discovery
Module 3: AI for 5G Networks
3.1 Introduction to 5G
3.2 AI Applications in 5G
3.3 Enhancing Network Management with AI
3.4 Case Study
3.5 Hands-On
Module 4: AI in Network Optimization
4.1 Predictive Network Management
4.2 Performance Enhancement Techniques
4.3 Traffic Management Strategies
4.4 Case Study
4.5 Hands-On
Module 5: AI for Network Security
5.1 Security Threats in Telecom
5.2 AI Security Solutions
5.3 Advanced Security Frameworks
5.4 Case Study
5.5 Hands-On
Module 6: Enhancing Customer Experience with AI
6.1 Personalized Customer Service
6.2 Service Quality Improvement
6.3 Enhancing Customer Engagement
6.4 Case Study
6.5 Hands-on
Module 7: IoT Integration with Telecommunications
7.1 IoT Fundamentals
7.2 Managing IoT Security Challenges
7.3 Enhancing Operational Efficiency with IoT
7.4 Case Study
7.5 Hands-on
Module 8: AI-Integrated Network Operations Centers (NOCs)
8.1 Transitioning to AI-driven NOCs: From reactive to predictive operations
8.2 Automating escalations and root cause analyses
8.3 Closed-loop automation with AI and SDN integration
8.4 Designing AI-ready network architectures
8.5 Change management strategies for AI rollouts in operations
8.6 Case Study: Implementation of AI assistants in NOCs
8.7 Case Study: Nokia's Integration of AI in Network Optimization
Module 9: Ethical Considerations in Artificial Intelligence
9.1 Ethical Implications of Using Artificial Intelligence
9.2 Responsible Deployment Practices
9.3 Emerging Trends and Challenges
9.4 Case Study
9.5 Hands-on
Module 10: Capstone Project
Date Issued: 01/06/2025