Course Outline

Introduction

Use Cases and Opportunities for Telecom Providers

Components of Artificial Intelligence (AI)

Computer Vision, Natural Language Processing (NLP), Voice Recognition, etc.

Data as the Foundation of AI

The Role of Probability and Statistics in Driving AI

Programming Languages Essential for AI Development

Fundamentals of Machine Learning

Leveraging Machine Learning Libraries to Develop Intelligent Systems

Data Processing Engines Supporting Data Analysis

Utilizing Rules Engines and Expert Systems for Decision-Making

Advanced Techniques in Machine Learning: Deep Learning

Exercise: Predicting Network Failures with Machine Learning

How AI Enhances IoT and Its Applications for Telecom Providers

Managing Larger Data Volumes with Cloud Technologies

Automation Technologies and Methods for Telecom Providers

Integrating All Elements of AI for Comprehensive Solutions

Use Cases and Opportunities for Telecom Providers for Government

The Low-Hanging Fruit for Telecom Companies for Government

Strategic Planning and Communication for an AI Strategy for Government

Summary and Conclusion

Requirements

  • An understanding of the telecommunications industry for government applications.
  • A foundational knowledge of networking principles and technologies.
  • A general comprehension of programming concepts and methodologies.
 14 Hours

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