Training courses: Artificial intelligence in small and medium-sized enterprises: Principles and application

Training courses: Artificial intelligence in small and medium-sized enterprises: Principles and application

An event on the topic Digitisation, Retraining, AI, SME, Machine learning, SMEs

When
14. October 2024    
09:00 - 16:00
 
 
Where
Online event
You will receive the access data by email before the event, (Click Meeting, Zoom or MS Teams)

Description

In this practical training, you will learn not only why AI is more than a keyword, but also how to use this powerful tool in a targeted way to increase your quality, efficiency and productivity. We show you that AI is not only a trend, but your key to sustainable success in dynamic markets.

 

What you expect

  • Theoretical understanding
    Our experts provide you with sound foundations to better understand and strategically use AI in your company.
  • Practical applications
    We go beyond the theory and offer you practical exercises in which you can apply the acquired knowledge directly in real-world scenarios.
  • No prior knowledge required
    Whether you are a newer of AI or already familiar with the foundations, our training is aimed at everyone who wants to discover the full potential of artificial intelligence in SMEs.

 

contents

Module 1: Introduction to AI and machine learning

  • Fundamentals and development
    They will provide an overview of the emergence and fundamental principles of AI and machine learning and their advantages over traditional solutions.
  • Advantages over traditional solutions
    Understand how AI and machine learning can improve existing processes by being faster, more accurate and more cost-effective than traditional methods.
  • Fields of application, case studies
    Explore a variety of application areas with practical examples illustrating the transformative potential of AI in office environments.

 

Module 2: Forms of machine learning

  • Supervised learning
    Learn how supervised learning works by providing systems to make predictions based on example data and related output values.
  • Unsupervised learning
    Find out more about the unsupervised learning in which patterns and structures are found in data without relying on predefined labels or results.
  • Reinforcement Learning
    Understand how Reinforcement Learning works by rewarding positive actions in a given environment to develop optimal strategies.
  • Deep Learning
    Dive into the world of deep learning, a special form of machine learning that uses deep neural networks.

 

Module 3: Experience optimisation

  • Methods and tools for optimisation on the shop floor
    They will have an insight into the different tools and methods that can be used to optimise processes directly in the production environment.
  • Different areas of application
    Learn how to use these optimisation methods in different areas, from route optimisation to cost and load optimisation.
  • Optimisation of combinations
    Understand how optimisation strategies can be used to ensure the most efficient allocation of resources such as machinery and staff or route planning.

 

Utility

  • Boosting competitiveness
    Find out how AI as a driving force can lead your company in dynamic markets.
  • Safety and efficiency
    Use AI to raise safety standards and make business processes more efficient.
  • Applicable knowledge
    Practical exercises directly translate your acquired knowledge into reality in order to achieve sustainable results.

 

audience        

  • Anyone who wants to know and exploit the potential of AI for their own business sector.

 

Level

  • Newcomers

 

Costs

  • ATTENTION: Thanks to public support, You do not have to pay the training fee, and participation is free of charge! (p.p.: EUR 2.600)

 

Contacts

Marco Giangreco
m.giangreco@zema.de

registration

Bookings are no longer possible for this event.