Welcome to the “AI for SMEs” course! In this 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.
AI for SMEs
The art of Prompt Engineering
Theoretical understanding
Our expert provides you with sound foundations to better understand and strategically use AI.
Best practice
We go beyond the theory and show you practical examples.
AI is more than a trend
It is your key to sustainable success in dynamic markets.
No prior knowledge required
This format is aimed at those who want to discover the full potential of AI in SMEs.
Part 1: Artificial intelligence
INTRODUCTION
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EVOLUTION
In this unit, we are talking about the topic: Prompt Engineering Poland. You know exactly what it means; ‘to be prompted’, why it is so important and how you can improve the performance of AI models such as ChatGPT through targeted questions.
HISTORICAL REVIEW
In this unit, we convey the basic concepts behind you Large Language Models (LLMs). They learn how these models are built, how they are trained, and what challenges and opportunities they offer in interacting with AI.
1.4 RULE BASED EXPERT SYSTEM
Here we take a closer look at the Features of ChatGPT and show you how you use the various Functions make the most of the model. This includes, inter alia, dealing with context, setting restrictions and adapting responses.
DECISION TREES AND NEURAL NETS
In this unit, we will focus on the topic: Hallucinations — a common phenomenon where AI models provide false or invented information. You learn how to recognise, avoid and deal with such hallucinations in order to achieve reliable results.
1.6 SCHIRMBEGRIFF AI
The use of AI causes many legal and ethical issues side. In this unit, we discuss the main issues such as: Data protection, copyright and responsibility dealing with AI. They learn what legal frameworks and ethical standards need to be respected in prompt engineering.
AI REVITALISES THE RULES
In this unit, we present you with proven experience. Best Practices who will help you to formulate effective and precise prompts. You will learn how you can significantly increase the quality of your interactions with AI models through a structured approach and clearly defined objectives.
MASCHIENAL LEARNING
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
A VARIETY OF PROCESSING TECHNIQUES
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.10 AI SHOWS PROBABILITIES
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.11 UNSUPERVISED LEARNING
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
CLASSIFICATION OF DATA
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.13 ENHANCED LEARNING
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.14 DEEP LEARNING OR CLASSICAL IMAGE PROCESSING
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.15 TEXT PROCESSING
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.16 IN-DEPTH LEARNING
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
GENERATIVE AI
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.18 LARGE LANGUAGE MODEL
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.19 AI IN INDUSTRY AND EVERYDAY LIFE
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.20 ETHICAL ASPECTS
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.21 ENERGY AND COSTS
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
MULTIMEDIA FOR GENERAL AI
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
1.23 CONCLUSION
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
Part 2: Supervised Learning
2.1 UNSUPERVISED LEARNING
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SUPERVISED LEARNING
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
WHAT IS SUPERVIDED LEARNING?
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
GENERAL APPROACH
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
METHODS, APPLICATION AND EVALUATION
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
CONCLUSION
At the end of the course, we summarise the main learning content. You have received an overview of the key techniques and principles of Prompt Engineering and now know how to put your knowledge into practice. We give you some final recommendations and outlooks on how you can evolve.
