A Practical Guide to Prompt Engineering for AI Enthusiasts
What you will learn
Understanding of Prompt Engineering fundamentals, including what it is, why it’s important, and key components of effective prompts
Knowledge of various AI concepts, including Large Language Models (LLMs), foundation models, and natural language processing
Practical prompting strategies and techniques, such as Zero-Shot Chain of Thought, Few-Shot Prompting, and Emotional Prompting
Awareness of AI challenges like hallucinations, ethical concerns, and potential risks associated with generative AI technologies
Why take this course?
This course offers a comprehensive introduction to prompt engineering for artificial intelligence, designed for learners with no prior programming experience. Over multiple lessons, you’ll explore the fundamentals of AI and large language models, gaining insights into how these technologies work and how to interact with them effectively.
You’ll learn what prompt engineering is and why it’s crucial in today’s AI-driven world. The course covers essential frameworks for crafting effective prompts, various prompting strategies, and advanced techniques to enhance AI responses. You’ll also delve into the intricacies of AI model behavior, including concepts like temperature control and training epochs.
As you progress, you’ll tackle more complex topics such as preprocessing, tokenization, and the challenges of AI hallucinations. The course also addresses important ethical considerations and potential risks associated with AI technologies.
Throughout the lessons, you’ll gain practical skills in formulating prompts, understanding AI outputs, and mitigating common issues. By the end of the course, you’ll be equipped with the knowledge to leverage AI tools more effectively in various applications, whether for personal projects or professional endeavors.
This course is ideal for curious minds eager to understand and harness the power of AI, regardless of their technical background.
IÂ look forward to you joining the course.