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Language models such as ChatGPT, Bing AI, Gemini and Llama have proven that they can generate source code for almost any programming language. However, the quality of the generated code can vary greatly depending on the task.
This course is dedicated to the question of which tasks AI models solve well, where their limits lie and what other benefits they can bring. Various examples are used to demonstrate the strengths and weaknesses of AIs when using them so that you are able to implement your own use cases professionally.
The training, which has the character of a workshop, is largely based on hands-on exercises, so that you can train procedures that you can use to create your own use cases. The practical exercises enable participants to successfully implement AI solutions in projects.
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Course Contents
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- Hands-on experience with AI and ML models and model tuning techniques
- Typical components of an AI solution: hardware and software, data sources
- Comparison of the capabilities of different AIs
- Basics of local AI models
- Training and fine-tuning of a local AI model
- Integration, utilisation and fine-tuning of AI models
- Design and creation of projects and systems with AI models
- Use of AI assistants such as GitHub Copilot for code generation
- Analysing, debugging, refactoring and reviewing code
- Creation of basic frameworks for automated testing of specific codes
- Current trends such as ChatGPT, Gemini, Llama, Orca2 and innovations
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.
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Target Group
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This course is aimed at programmers and software developers who want to use AI in their projects.
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Knowledge Prerequisites
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The knowledge imparted in the courses ChatGPT - Programming & Problem Solving with AI Support and Machine Learning - Data Science and Artificial Intelligence creates a good basis for attending the course.
Programming skills in Python are necessary to be able to follow the exercises and examples. These can be acquired in our Python courses such as Python for beginners - introduction to programming or Python for programmers - basics for a quick transition.
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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!
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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.
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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.
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Tailor-made courses
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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.

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Language models such as ChatGPT, Bing AI, Gemini and Llama have proven that they can generate source code for almost any programming language. However, the quality of the generated code can vary greatly depending on the task.
This course is dedicated to the question of which tasks AI models solve well, where their limits lie and what other benefits they can bring. Various examples are used to demonstrate the strengths and weaknesses of AIs when using them so that you are able to implement your own use cases professionally.
The training, which has the character of a workshop, is largely based on hands-on exercises, so that you can train procedures that you can use to create your own use cases. The practical exercises enable participants to successfully implement AI solutions in projects.
-
Course Contents
-
- Hands-on experience with AI and ML models and model tuning techniques
- Typical components of an AI solution: hardware and software, data sources
- Comparison of the capabilities of different AIs
- Basics of local AI models
- Training and fine-tuning of a local AI model
- Integration, utilisation and fine-tuning of AI models
- Design and creation of projects and systems with AI models
- Use of AI assistants such as GitHub Copilot for code generation
- Analysing, debugging, refactoring and reviewing code
- Creation of basic frameworks for automated testing of specific codes
- Current trends such as ChatGPT, Gemini, Llama, Orca2 and innovations
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.
-
Target Group
-
This course is aimed at programmers and software developers who want to use AI in their projects.
-
Knowledge Prerequisites
-
The knowledge imparted in the courses ChatGPT - Programming & Problem Solving with AI Support and Machine Learning - Data Science and Artificial Intelligence creates a good basis for attending the course.
Programming skills in Python are necessary to be able to follow the exercises and examples. These can be acquired in our Python courses such as Python for beginners - introduction to programming or Python for programmers - basics for a quick transition.
-
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.
