• WhatsApp: +1 571 4354 576
  • - Mail Us: eagamor@gmail.com
  • On All Socials @edukanea
Facebook-f X-twitter Instagram Youtube
login
Get Started free

Foundations of Artificial Intelligence for Telecom Professionals
edu Kanea > Courses > AI for Everyone > Foundations of Artificial Intelligence for Telecom Professionals

AI for Everyone Business & Management

Last Update: Aug 08, 2025

Foundations of Artificial Intelligence for Telecom Professionals

  • Free
  • 30 Lesson

About Course

Objective: To provide a foundational understanding of AI and its practical applications in the telecommunications industry, with a focus on MTN Ghana’s operational and strategic goals. The course blends theoretical concepts, hands-on exercises, and real-world telecom use cases to enable participants to leverage AI for customer experience, network optimization, fraud detection, and strategic innovation.

Learning Outcomes:

  • Understand core AI concepts, including machine learning, deep learning, and AI types.
  • Explore global and African AI trends in telecom, with a focus on MTN’s context.
  • Gain practical skills in data handling, machine learning basics, and AI tools like Google Colab and Python.
  • Apply AI to telecom-specific use cases such as churn prediction, chatbots, and network optimization.
  • Develop an understanding of AI ethics, governance, and alignment with MTN’s strategic goals.
  • Create and present AI-driven solutions for MTN Ghana’s operational challenges.
Show More

What Will You Learn?

  • Participants will explore how AI transforms telecom by addressing customer service, fraud detection, and network optimization through practical techniques like machine learning, NLP, and sentiment analysis. The course emphasizes real-world applications, ethical practices, and governance frameworks to ensure responsible and impactful AI deployment across the telecom sector.

Course Content

Module 1: Fundamentals of AI
Objective: Equip participants with a foundational understanding of artificial intelligence (AI), its historical evolution, and its relevance to the telecommunications industry, particularly for MTN Ghana’s operations. This module sets the stage for understanding how AI can drive innovation in customer service, network management, and fraud detection.

Module 2: AI in Telecom – Global and African Trends
Objective: Explore how artificial intelligence (AI) is transforming the telecommunications industry globally and in Africa, with a specific focus on MTN Ghana’s operational and strategic context. Participants will understand key AI use cases, their impact on customer service, fraud detection, and network optimization, and the stages of AI adoption in telecom.

Module 3: Data as the Fuel for AI
Objective: Equip participants with an understanding of data’s critical role in AI, focusing on types of data, quality, privacy, and ethical considerations, with specific relevance to Ghana’s telecom industry and MTN’s operations.

Module 4: Basics of Machine Learning
Objective: Introduce participants to fundamental machine learning (ML) concepts and their practical applications in the telecommunications industry, with a focus on MTN Ghana’s operational needs, such as churn prediction, network optimization, and customer segmentation.

Module 5: Customer Service and Experience
Objective: Equip participants with an understanding of AI-driven tools, such as chatbots, natural language processing (NLP), and sentiment analysis, to enhance customer experience at MTN Ghana, with a focus on improving query resolution, feedback analysis, and customer satisfaction.

Module 6: Network Optimization and Predictive Maintenance
Objective: Equip participants with an understanding of how AI enhances network performance and reliability in telecommunications, focusing on anomaly detection, radio frequency (RF) planning, and fault prediction, with practical applications for MTN Ghana’s 4G/5G networks.

Module 7: Introduction to AI Tools
Objective: Provide participants with hands-on experience using AI development tools, including Google Colab, Python, Jupyter Notebooks, pre-trained models, and development environment setup, with applications tailored to MTN Ghana’s telecom needs such as customer analytics and network optimization.

Module 8: Hands-On Mini Projects
Objective: Enable participants to apply AI concepts to telecom-specific projects, including building a chatbot, predicting customer churn, and detecting fraud in Mobile Money transactions, with practical relevance to MTN Ghana’s operations.

Module 9: Ethics, Bias, and Governance in AI
Objective: Equip participants with an understanding of ethical AI practices, governance frameworks, and their alignment with MTN Ghana’s business goals, focusing on responsible AI use in telecom to ensure fairness, transparency, and compliance.

Module 10: Group Presentations & Capstone
Objective: Enable participants to develop and present AI-driven solutions for MTN Ghana’s telecom challenges, applying concepts from previous modules to real-world use cases like customer segmentation, 5G deployment, and Mobile Money fraud detection.

Student Ratings & Reviews

No Review Yet
No Review Yet
  • Tag
Start Learning
  • All Levels
  • 0 Total Enrolled
  • 19 hours20 minutes Duration
  • Aug 8, 2025 Last Updated

A course by

EG

Audience

  • Application Support Analysts, Network Engineers, Business Analysts, Product Managers, Customer Experience Teams, and Sales Professionals.
Emmanuel Gamor

Search here

Populer Course

Popular Category