AI Awareness for Telecom 교육 과정

Course Code



14 hours (usually 2 days including breaks)


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


인공 지능은 지능형 시스템을 구축하기위한 기술 모음으로, 지능형 의사 결정을 내리기 위해 데이터 및 데이터를 둘러싼 활동을 이해할 수 있습니다 통신 제공 업체의 경우 AI를 사용하는 응용 프로그램 및 서비스를 구축하면 유지 관리 및 네트워크 최적화와 같은 영역에서 향상된 운영 및 서비스를 제공 할 수 있습니다 이 과정에서는 AI를 구성하는 다양한 기술과이를 사용하는 데 필요한 기술 세트를 살펴 봅니다 이 과정에서 우리는 텔레콤 업계에서 AI의 특정 애플리케이션을 살펴 봅니다 청중 네트워크 엔지니어 네트워크 운영 요원 통신 기술 관리자 코스 형식 파트 강연, 파트 토론, 핸드 슨 연습 .

Machine Translated

Course Outline


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

회원 평가


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