Course Code
aifortelecom
Duration
14 hours (usually 2 days including breaks)
Requirements
- An understanding of the telecom industry
- An understanding of networking
- A general understanding of programing concepts
Overview
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
Course Outline
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
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