This chapter explains the core principles behind artificial intelligence and large language models – why understanding them matters before you start prompting.
An introduction to the key tool for working with AI – prompts. Learn how they work, why their quality matters, and how to think like a prompt engineer.
An overview of how AI can be used in real life: from content creation and translation to data analysis, productivity, and personal assistance.
Master the basics of working with AI – how to write effective prompts, how to refine them, and how to build on answers using context and examples.
AI today works with more than just text. Learn how to interact using visuals, voice, or video – and when each format makes sense.
Discover proven structures for writing effective prompts (such as RODES, RTF, PTCF) to improve clarity and consistency in your AI tasks.
Dive into high-level methods like Chain-of-Thought, Self-Consistency, and Negative Prompting to push the quality of AI outputs even further.
Understand hallucinations, biases, outdated information, and other AI shortcomings that may affect your results.
This chapter outlines key legal and ethical considerations – including GDPR, copyright, and the upcoming AI Act regulations.
Learn how to design and fine-tune your own AI assistant – from a simple coach to a complex workplace companion.
Explore how to test, compare, and optimize your prompts using tools like playgrounds, system prompts, and fine-tuning.
The final chapter highlights how prompts can be abused – and teaches you how to recognize and defend against prompt injection, jailbreaking, and other attacks.
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I have been working in online advertising for over 20 years, the last 10 years as a programmatic advertising specialist. Prior to that, I worked in SEO and originally in website coding. I have a degree in Geographic Information Systems.
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