What you'll learn

• Explain what context engineering is and why it matters more than prompt wording alone
• Manage AI memory in ChatGPT and Claude, including auditing and correcting what's saved about you
• Build a knowledge base and test whether AI answers are actually grounded in your documents
• Apply the R-T-A-F-E-C framework to write clear, structured, repeatable prompts
• Set up custom instructions to keep AI responses consistent across every conversation
• Diagnose why an AI gave a bad answer and identify the context problem behind it
• Break long documents into chunks so AI can process them without losing key details
• Build a repeatable AI workflow that combines prompting, memory, and grounded documents into one process

Requirements

• A free or paid account with ChatGPT and/or Claude — no prior experience with either required
• A computer or laptop with internet access (no special software or installations needed)
• No prior knowledge of prompt engineering, AI, or coding is required — every concept is explained from scratch
• Willingness to actively practice inside ChatGPT/Claude alongside each lesson, rather than just watching

Description

• This course contains the use of artificial intelligence.

• Most people trying to get better results from ChatGPT or Claude focus entirely on writing a better prompt. It helps a little, but the answers still feel inconsistent — sometimes sharp and specific, other times vague or just wrong. The real issue usually isn't the prompt itself. It's everything around it: what the AI remembers, what it's actually grounded in, and how much of your intent it can even see at once.

• Learn Context Engineering To Get Consistently Better Results From ChatGPT And Claude
• This course teaches the skill that sits underneath good prompting — managing the context an AI is working from, on purpose, instead of leaving it to chance. You'll start with the fundamentals of what context actually is and why it shapes every single response you get back.

• From there, you'll work through how AI memory actually functions across sessions, how to audit and correct what's being remembered about you, and how to hand an AI your own documents so its answers are grounded in real information instead of guesswork. You'll also learn a clear framework for structuring prompts, how to set up custom instructions that stay consistent across every conversation, and how to combine both of these techniques into a single, reliable approach.

• A large part of this course is dedicated to diagnosis — learning to recognize why an AI gave you a bad answer, whether that's context overload, an ungrounded knowledge base, or a document that was too long to process properly, and exactly what to do about each one.

In this course, you'll learn how to

• Explain what context engineering is and why it matters more than prompt wording alone
• Manage and audit AI memory across ChatGPT and Claude
• Build a knowledge base and test whether answers are actually grounded in it
• Apply a clear framework for structuring reliable prompts
• Set up custom instructions for consistent AI behavior
• Diagnose why an AI gave a bad answer and fix the underlying context problem
• Break long documents into chunks an AI can actually process well
• Combine all of these techniques into one repeatable AI workflow
• Every technique in this course is followed by a short, hands-on practice video inside ChatGPT or Claude, so you're applying each idea immediately rather than just watching it explained.

By the end of this course, you'll have a completely different relationship with these tools. Instead of rewriting the same prompt five times and hoping for a better result, you'll know exactly what's shaping the answer you're getting — and exactly what to change to get the one you actually need.

Who this course is for

• Professionals who already use ChatGPT or Claude for work but feel like they're not getting consistent, reliable answers
• Freelancers, marketers, and knowledge workers who want to use AI tools more deliberately instead of by trial and error
• Anyone who has tried "prompt engineering" tips before and found they only helped a little
• Small business owners who want to build a simple AI knowledge base from their own documents
• Beginners with zero technical background — this course assumes no coding or AI experience