Master the art of crafting effective prompts for chatbots and generative AI. Learn techniques to get better results by tailoring prompts using attributes like length, style, perspective and examples to guide any model.
In this course, Generative AI Foundations: Prompt Engineering, you will learn how to craft better prompts to get the most out of chatbots, generative writing tools, and creative AIs. First, you will get ready to go beyond basic prompting to master advanced techniques for more accurate, nuanced responses tailored to your needs. Then, you will learn how prompt attributes like length, style, perspective, and shot-based examples can guide AI models. Finally, you will study concepts like prompt chaining for a conversational approach and flipping roles to vary context. When you are finished with this course, you will have learned best practices for managing ambiguity, over-specification, and model limitations. Whether you’re working with ChatGPT, DALL-E, or any AI system, this course will give you the prompt engineering skills to take full advantage of generative AI through precise requests and impactful examples.
In this course, Generative AI Foundations: Prompt Engineering, you will learn how to craft better prompts to get the most out of chatbots, generative writing tools, and creative AIs. First, you will get ready to go beyond basic prompting to master advanced techniques for more accurate, nuanced responses tailored to your needs. Then, you will learn how prompt attributes like length, style, perspective, and shot-based examples can guide AI models. Finally, you will study concepts like prompt chaining for a conversational approach and flipping roles to vary context. When you are finished with this course, you will have learned best practices for managing ambiguity, over-specification, and model limitations. Whether you’re working with ChatGPT, DALL-E, or any AI system, this course will give you the prompt engineering skills to take full advantage of generative AI through precise requests and impactful examples.
