What’s Included?
High-Quality Video, E-book & Audiobook
Modules Quizzes
AI Mentor
Access for Tablet & Phone
Online Proctored Exam with One Free Retake
Labs
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.
Self Study Materials Included
Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
Additional Resources
Supplementary references and list of tools to deepen knowledge and practical application.
Tools You’ll Master
TensorFlow
Keras
Matplotlib
What You’ll Learn
AI and Telecommunications Integration
Learn how AI integrates with telecom technologies to optimize network performance and improve customer experience.
Python for Telecom Applications
Master Python for network optimization, predictive maintenance, and telecom data analysis.
Data Analysis and Network Optimization
Understand how to process telecom data and apply AI for enhanced network reliability and resource management.
AI-Driven Network Management
Apply AI techniques for intelligent traffic management, resource allocation, and real-time network monitoring
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 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
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 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
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 (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 Case Study
8.6 Hands-On
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
Frequently Asked Questions
Yes, you’ll gain practical, hands-on experience to immediately apply AI and BI skills in real-world business scenarios through case studies and a capstone project.
This course combines AI with telecommunications, teaching Python, machine learning, and network management, focusing on 5G, IoT, and predictive maintenance.
You’ll work on projects like network optimization, predictive maintenance, QoS, and resource management, culminating in a real telecom capstone.
You’ll work on projects like network optimization, predictive maintenance, QoS, and resource management, culminating in a real telecom capstone.
You’ll gain expertise in AI and telecom technologies, with hands-on experience and a capstone preparing you for roles in telecom networks and 5G deployment.