Course Outline

Introduction

Use Cases and Opportunities for Government Telecommunications 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

The Impact of AI on the Internet of Things (IoT) and Its Applications in Government Telecommunications

Managing Large Data Volumes with Cloud Technologies

Automation Technologies and Approaches for Government Telecommunications

Integrating All Elements of AI for Comprehensive Solutions

Use Cases and Opportunities for Government Telecommunications Providers

The Low-Hanging Fruit for Government Telecommunications Companies

Developing and Communicating an AI Strategy for Government

Summary and Conclusion

Requirements

  • An understanding of the telecommunications industry for government
  • An understanding of networking principles
  • A general knowledge of programming concepts
 14 Hours

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