ExperTeach Networking Training

AI Manager Training

Potentials, Use Cases, Project-Know-how

ExperTeach Networking Training

Artificial intelligence has evolved from a technological trend to a decisive factor for competitiveness and optimization of business processes. However, as can be seen from various statistics, there is a gap between theoretical possibilities and successful implementation.

Many questions arise: Which use cases are really worthwhile? What requirements do we need as a basis for an AI project? How do I lead an AI project to success in a targeted manner? Become an AI manager and put yourself in a position to answer precisely these questions in your company!

This AI training course will give you the tools you need to understand AI projects and opportunities. This AI training course provides an overview of possible applications, an introduction to data strategy and practical examples of how to implement these projects.

Course Contents

  • Possible applications of AI
  • Assessment of AI projects
  • Developing a data strategy
  • Weighing up different forms of AI
  • Language models and agents
  • Automation with AI
  • Project implementation

ExperTeach Digital Symbol The detailed digital documentation package, consisting of an e-book and PDF, is included in the price of the course.

Request in-house training now

Target Group

This AI training course is aimed at specialists and managers, project managers, IT managers, decision-makers and innovation managers. In other words, all those who need an understanding of the use of AI and the implementation of AI projects.

Knowledge Prerequisites

For this course, you should already have basic knowledge of how AI works. You do not need a deep understanding of the details. You should be familiar with terms such as AI training, language model or machine learning.</p

These basics and a simple overview of how AI works and how it is used are taught in the course Using AI tools and LLMs successfully - ChatGPT, Gemini, Claude & Co..

Course Objective

They know the possible applications of AI, can assess project ideas and understand the typical process of an AI project.

Complementary and Continuative Courses

The course Security in AI Projects – Securing AI Agents focuses on the challenges and security aspects associated with the use of AI.

1 Introduction to Artificial Intelligence
1.1 What is artificial intelligence?
1.2 History of AI
1.3 Classical Programming and AI
1.3.1 The Potential of AI
1.3.2 Explainability of AI
1.4 Machine Learning
1.4.1 Models
1.4.2 Supervised Learning
1.4.3 Unsupervised Learning
1.4.4 Reinforcement Learning
1.5 Predictive vs Generative AI
1.5.1 Multimodality
1.5.2 Language Models
1.6 Excursus: Chatbot Training
1.6.1 Level 1: Pre-training
1.6.2 Level 2: Supervised Fine-tuning
1.6.3 Level 3 & 4 Reinforcement Learning
   
2 Application of AI
2.1 Classification
2.2 Regression
2.3 Cluster Analysis
2.4 Dimension Reduction
2.5 Anomaly Detection
2.6 Image Generation
2.7 Video Generation
2.8 Chatbots
2.8.1 Text Generation & Translation
2.8.2 Formulation of Texts
2.8.3 Brainstorming
2.8.4 Programming
2.8.5 Github Copilot
2.9 Tool Usage & Agents
2.9.1 Search Engines
2.9.2 Retrieval-Augmented Generation (RAG)
2.10 Copilot in Microsoft Products
   
3 Implementation of AI Projects
3.1 Platforms for AI
3.1.1 Hugging Face
3.1.2 Kaggle
3.2 Using Models Locally
3.3 Hardware as a driver for AI innovation?
3.4 Large Language Models
3.4.1 Training Data for LLMs
3.4.2 Training and Inference: Hardware
3.4.3 Benchmarks for Performance Comparison
3.4.4 Attacks
3.5 Small Language Models
3.5.1 Quantization
3.5.2 Monitoring
3.6 Model and Data Drift
   
4 Regulations, Ethics, and Working Environment
4.1 Technological Progress
4.2 Regulations in Europe
4.2.1 Digital Markets Act
4.3 Regulations in America
4.3.1 Licenses & Terms of Use
4.4 Data Protection and Privacy
4.5 Ethics and Social Justice
4.6 Changes of the Working Environment
4.6.1 Awareness Movements
4.6.2 Robots
4.6.3 Overview of AI Trends
4.7 Artificial General Intelligence
4.7.1 Ambiguity of the Term
   
A List of Abbreviations

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!

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.

Artificial intelligence has evolved from a technological trend to a decisive factor for competitiveness and optimization of business processes. However, as can be seen from various statistics, there is a gap between theoretical possibilities and successful implementation.

Many questions arise: Which use cases are really worthwhile? What requirements do we need as a basis for an AI project? How do I lead an AI project to success in a targeted manner? Become an AI manager and put yourself in a position to answer precisely these questions in your company!

This AI training course will give you the tools you need to understand AI projects and opportunities. This AI training course provides an overview of possible applications, an introduction to data strategy and practical examples of how to implement these projects.

Course Contents

  • Possible applications of AI
  • Assessment of AI projects
  • Developing a data strategy
  • Weighing up different forms of AI
  • Language models and agents
  • Automation with AI
  • Project implementation

ExperTeach Digital Symbol The detailed digital documentation package, consisting of an e-book and PDF, is included in the price of the course.

Request in-house training now

Target Group

This AI training course is aimed at specialists and managers, project managers, IT managers, decision-makers and innovation managers. In other words, all those who need an understanding of the use of AI and the implementation of AI projects.

Knowledge Prerequisites

For this course, you should already have basic knowledge of how AI works. You do not need a deep understanding of the details. You should be familiar with terms such as AI training, language model or machine learning.</p

These basics and a simple overview of how AI works and how it is used are taught in the course Using AI tools and LLMs successfully - ChatGPT, Gemini, Claude & Co..

Course Objective

They know the possible applications of AI, can assess project ideas and understand the typical process of an AI project.

Complementary and Continuative Courses

The course Security in AI Projects – Securing AI Agents focuses on the challenges and security aspects associated with the use of AI.

1 Introduction to Artificial Intelligence
1.1 What is artificial intelligence?
1.2 History of AI
1.3 Classical Programming and AI
1.3.1 The Potential of AI
1.3.2 Explainability of AI
1.4 Machine Learning
1.4.1 Models
1.4.2 Supervised Learning
1.4.3 Unsupervised Learning
1.4.4 Reinforcement Learning
1.5 Predictive vs Generative AI
1.5.1 Multimodality
1.5.2 Language Models
1.6 Excursus: Chatbot Training
1.6.1 Level 1: Pre-training
1.6.2 Level 2: Supervised Fine-tuning
1.6.3 Level 3 & 4 Reinforcement Learning
   
2 Application of AI
2.1 Classification
2.2 Regression
2.3 Cluster Analysis
2.4 Dimension Reduction
2.5 Anomaly Detection
2.6 Image Generation
2.7 Video Generation
2.8 Chatbots
2.8.1 Text Generation & Translation
2.8.2 Formulation of Texts
2.8.3 Brainstorming
2.8.4 Programming
2.8.5 Github Copilot
2.9 Tool Usage & Agents
2.9.1 Search Engines
2.9.2 Retrieval-Augmented Generation (RAG)
2.10 Copilot in Microsoft Products
   
3 Implementation of AI Projects
3.1 Platforms for AI
3.1.1 Hugging Face
3.1.2 Kaggle
3.2 Using Models Locally
3.3 Hardware as a driver for AI innovation?
3.4 Large Language Models
3.4.1 Training Data for LLMs
3.4.2 Training and Inference: Hardware
3.4.3 Benchmarks for Performance Comparison
3.4.4 Attacks
3.5 Small Language Models
3.5.1 Quantization
3.5.2 Monitoring
3.6 Model and Data Drift
   
4 Regulations, Ethics, and Working Environment
4.1 Technological Progress
4.2 Regulations in Europe
4.2.1 Digital Markets Act
4.3 Regulations in America
4.3.1 Licenses & Terms of Use
4.4 Data Protection and Privacy
4.5 Ethics and Social Justice
4.6 Changes of the Working Environment
4.6.1 Awareness Movements
4.6.2 Robots
4.6.3 Overview of AI Trends
4.7 Artificial General Intelligence
4.7.1 Ambiguity of the Term
   
A List of Abbreviations

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!

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.