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MLOps for Telecommunication Experts

Optimizing Networks and Services Using AI and ML

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In telecommunications, the implementation of artificial intelligence (AI) is becoming increasingly important. This MLOps training provides a comprehensive introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) and shows their possible applications in the telecommunications industry. You will learn the basics of AI, ML and DL and how these technologies can optimize networks and improve the customer experience. In addition to theoretical content, this MLOps course places particular emphasis on practical exercises to deepen your knowledge of AI/ML and MLOps tools, frameworks and Python programming.

Course Contents

  • Introduction to Python programming: basics, syntax, data structures and control flow
  • Important libraries and their use in AI
  • Artificial intelligence (AI), machine learning and deep learning
  • Introduction to artificial intelligence and its role in telecommunications
  • The role of AI in telecommunications
  • Introduction to AI/ML tools and frameworks
  • Design of AI systems
  • Natural language processing (NLP)
  • Telecommunications-centric AI architectures
  • Management of the AI lifecycle and operational challenges
  • Advanced AI concepts, AI ethics and trustworthy AI
  • Extensive practical exercises

Print E-Book PDF Symbol You will receive the comprehensive documentation package of the ExperTeach Networking series – printed documentation, e-book, and personalized PDF! As online participant, you will receive the e-book and the personalized PDF.

Request in-house training now

Target Group

This MLOps training is aimed at telecom engineers and professionals who want to expand their skills in Artificial Intelligence (AI) and work in areas such as network operations, service delivery and customer experience. Through this course, they can deepen their knowledge and develop practical skills to effectively apply AI technologies in the telecommunications industry.

Knowledge Prerequisites

Fundamental knowledge and experience with typical DevOps tools and workflows is required. This can be acquired in the course CI/CD & DevOps - Tools at a glance. To successfully complete the course, you will also need basic knowledge of Python, which you can acquire in the course Python for beginners - Introduction to programming, for example.

You should also have a strong interest in dealing with concepts and methods of AI, machine learning and deep learning. The course Machine Learning - Data Science and Artificial Intelligence provides a good basis for this.

Classroom training

Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!

Hybrid training

Hybrid training means that online participants can additionally attend a classroom course. The dynamics of a real seminar are maintained, and the online participants are able to benefit from that. Online participants of a hybrid course use a collaboration platform, such as WebEx Training Center or Saba Meeting. To do this, a PC with browser and Internet access is required, as well as a headset and ideally a Web cam. In the seminar room, we use specially developed and customized audio- and video-technologies. This makes sure that the communication between all persons involved works in a convenient and fault-free way.

Online training

You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.

Tailor-made courses

You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request in-house training now
PDF SymbolYou can find the complete description of this course with dates and prices ready for download at as PDF.

In telecommunications, the implementation of artificial intelligence (AI) is becoming increasingly important. This MLOps training provides a comprehensive introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) and shows their possible applications in the telecommunications industry. You will learn the basics of AI, ML and DL and how these technologies can optimize networks and improve the customer experience. In addition to theoretical content, this MLOps course places particular emphasis on practical exercises to deepen your knowledge of AI/ML and MLOps tools, frameworks and Python programming.

Course Contents

  • Introduction to Python programming: basics, syntax, data structures and control flow
  • Important libraries and their use in AI
  • Artificial intelligence (AI), machine learning and deep learning
  • Introduction to artificial intelligence and its role in telecommunications
  • The role of AI in telecommunications
  • Introduction to AI/ML tools and frameworks
  • Design of AI systems
  • Natural language processing (NLP)
  • Telecommunications-centric AI architectures
  • Management of the AI lifecycle and operational challenges
  • Advanced AI concepts, AI ethics and trustworthy AI
  • Extensive practical exercises

Print E-Book PDF Symbol You will receive the comprehensive documentation package of the ExperTeach Networking series – printed documentation, e-book, and personalized PDF! As online participant, you will receive the e-book and the personalized PDF.

Request in-house training now

Target Group

This MLOps training is aimed at telecom engineers and professionals who want to expand their skills in Artificial Intelligence (AI) and work in areas such as network operations, service delivery and customer experience. Through this course, they can deepen their knowledge and develop practical skills to effectively apply AI technologies in the telecommunications industry.

Knowledge Prerequisites

Fundamental knowledge and experience with typical DevOps tools and workflows is required. This can be acquired in the course CI/CD & DevOps - Tools at a glance. To successfully complete the course, you will also need basic knowledge of Python, which you can acquire in the course Python for beginners - Introduction to programming, for example.

You should also have a strong interest in dealing with concepts and methods of AI, machine learning and deep learning. The course Machine Learning - Data Science and Artificial Intelligence provides a good basis for this.

Classroom training

Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!

Hybrid training

Hybrid training means that online participants can additionally attend a classroom course. The dynamics of a real seminar are maintained, and the online participants are able to benefit from that. Online participants of a hybrid course use a collaboration platform, such as WebEx Training Center or Saba Meeting. To do this, a PC with browser and Internet access is required, as well as a headset and ideally a Web cam. In the seminar room, we use specially developed and customized audio- and video-technologies. This makes sure that the communication between all persons involved works in a convenient and fault-free way.

Online training

You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.

Tailor-made courses

You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request in-house training now

PDF SymbolYou can find the complete description of this course with dates and prices ready for download at as PDF.