AI Awareness for Telecom

• An understanding of the telecom industry
• An understanding of networking
• A general understanding of programing concepts

AI is a collection of technologies for building intelligent systems capable of understanding data and the activities surrounding the data to make "intelligent decisions". For Telecom providers, building applications and services that make use of AI could open the door for improved operations and servicing in areas such as maintenance and network optimization.

In this course we examine the various technologies that make up AI and the skill sets required to put them to use. Throughout the course, we examine AI's specific applications within the Telecom industry.

Audience

• Network engineers
• Network operations personnel
• Telecom technical managers

Format of the course

• Part lecture, part discussion, hands-on exercises

Introduction

Use cases and opportunities for Telecom providers

What makes up AI?

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

Data as the Oil of AI

How Probability and Statistics Drive AI

The Programming Language Skills Needed for AI

Understanding Machine Learning

Applying Machine Learning Libraries to Develop Intelligent Systems

The Data Processing Engines Behind Data Analysis

Using Rules Engines and Expert Systems to Make Decisions

Advanced Approaches to Machine Learning: Deep Learning

Exercise: Predicting Network Failures with Machine Learning

How AI drives IoT and the Applications for IoT in Telecom

Handling Greater Volumes of Data with Cloud Technologies

Automation Technologies and Approaches for Telecom

Bringing it All Together

Use cases and opportunities for Telecom providers

The Low-hanging Fruit for Telecom Companies

Planning and Communicating an AI Strategy

Summary and Conclusion