Learn AI the non technical way.

Gain a deep understanding of how language models generate responses. Learn how token prediction works, how different types of prompts are interpreted, and what factors shape the output. You’ll explore core concepts like temperature, top-k, and top-p in a practical way, so you can guide model behavior with clarity and control. The distinction between system and user prompts, and how to use context effectively, is also covered to help you write more precise and intentional instructions.

Understand the core structure of a prompt and how to use each part with purpose. Learn how instruction, context, input, and output indicators work together to guide the model’s response. You’ll also learn how to format prompts clearly and use system and user prompts differently to improve clarity and control. This foundation helps you write better prompts from the start and prepares you for applying more advanced techniques effectively.

Learn how to use prompting as a repeatable process by applying structured techniques that guide the model step by step. You’ll explore methods like zero-shot, few-shot, chain of thought, and others, each explained with clear use cases and reasoning. These techniques help you design prompts that break down complex tasks, improve output reliability, and adapt across different situations. Rather than guessing what works, you’ll build a toolkit of approaches you can apply with intent.

Use structured frameworks to improve how you design and organize prompts. You’ll learn models like RESEE, RACE, and others that give you a reliable structure to approach different types of tasks. These frameworks help bring consistency, clarity, and purpose to your prompting process, especially when dealing with multi-step or open-ended outputs.

Develop the thinking process behind effective prompt engineering. Learn how to approach prompts with a strategic mindset, identify what makes a prompt work, and adjust your approach based on task type or model behavior. This helps you move beyond trial and error and toward prompting as a structured, problem-solving skill.

Learn how to design your own prompt frameworks tailored to specific tasks, industries, or use cases. You’ll understand how existing structures work and how to adapt or build new ones that fit the way you think and work. This gives you the flexibility to move beyond templates and develop systems that solve real problems with precision.