ChatGPT Prompt Engineering ( Free Course )

Train computers to perform tasks like humans, such as coding and drawing, using artificial intelligence. Improve factories' efficiency as robots perform specific tasks, saving time and money.

Explore natural language processing as a subset of artificial intelligence that enables computers to understand human language and respond in human language, using ChatGPT as an example.

Discover how artificial intelligence uses natural language processing to understand and respond to language. Learn about generative pre-trained transformers, including GPT-3 and chat GPT, and role in NLP model training.

Learn how large language models (LMs) are defined and trained on many parameters, and follow a course that will teach and frequently reference LLM concepts from start to end.

Learn what a prompt is in prompt engineering, see how asking a question on chat.openai.com becomes a prompt, and understand how prompts generate ai responses.

Learn how to talk to AI to achieve the best results by mastering prompt engineering. Apply techniques to craft prompts that elicit precise, high-quality responses.

Illustrates two types of prompts: prompts by example and direct prompts, using playground examples to show how formats guide responses.

Structure prompts by defining a rule for the AI as an expert, then supply details and questions to generate viral YouTube titles with SEO focus.

Explore practical prompt engineering example two, using a prompt hack, to structure instructions, ask questions before answering, and deliver a step-by-step guide with over ten years of experience.

Practice practical example three by crafting prompts with three elements: a rule, explain as a teacher, and an age factor. This approach yields beginner-friendly, child-oriented explanations of quantum computing.

Explore how practical example four uses style prompts to generate responses in a chosen style, such as Shakespeare style, by clicking the center button.

Mix practical prompts from examples 1–3 to craft effective prompts across fields. Learn to embed expert roles, questions, and concrete tasks like converting JPEG to PNG in a single prompt.

Learn key terms like temperature and stop, how to select models (gpt-3.5, text-davinci-002/003) in the OpenAI playground, and how temperature influences creativity and readability.

Explore Topi, a key NLP concept that helps the computer identify the most important words using prompts repeatedly, explained in simple terms for a five-year-old, and tags for relevant examples.

Discover three important actions to maximize learning with AI tools: join our free courses, use social media for topic exploration, and leverage Python with ChatGPT to build tools and summaries.