AI+ Telecommunications

Hours: 40 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 40
Retail Price: $495.00

Course Overview:

This course provides a comprehensive exploration of AI technologies revolutionizing the telecommunications industry, covering everything from predictive maintenance and 5G deployment to advanced cybersecurity and IoT integration. Students will transition from foundational insights to mastering complex applications like real-time resource management and anomaly detection. The experience culminates in a hands-on capstone project where you will develop AI-driven solutions for real-world challenges, ensuring peak network reliability and intelligent service delivery.

Recommended Prerequisites:
  • Telecommunications Knowledge: Basic understanding of telecommunications concepts, including networks, 5G, and IoT.
  • Programming Skills: Familiarity with programming, preferably in Python.
  • Data Analysis: Basic knowledge of data analysis techniques is beneficial.
  • AI Familiarity: Prior experience with AI is helpful but not required for enrollment in this course.

Course Outline:

Lesson 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
Lesson 2: Data Engineering for Telecom AI
  • 2.1 Foundation 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
  • 2.5  Hands on Exercise
Lesson 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
Lesson 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
Lesson 5: AI in 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
Lesson 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
Lesson 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
Lesson 8: AI-Integrated Network Operations Centers (NOC)
  • 8.1 Transitioning to AI-driven NOCs
  • 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
Lesson 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

All necessary course materials are included.


System Requirements:

Internet Connectivity Requirements:

  • Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

  • CPU: 1 GHz or higher
  • RAM: 4 GB or higher
  • Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
  • Speakers / Headphones
  • Microphone for Webinar or Live Online sessions.

Operating System Requirements:

  • Windows 7 or higher.
  • Mac OSX 10 or higher.
  • Latest Chrome OS
  • Latest Linux Distributions

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

  • Latest Google Chrome is recommended for the best experience.
  • Latest Mozilla FireFox
  • Latest Microsoft Edge
  • Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

  • Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
  • PDF reader program (Adobe Reader, FoxIt)
  • Courses may require other software that is described in the above course outline.


** The course outlines displayed on this website are subject to change at any time without prior notice. **