Context Engineering: Get Better AI Results by Controlling What It Sees

Learn the idea behind AI search, recommendations, and "chat with your documents" tools. See how embeddings turn meaning into numbers, why close means related, how semantic search beats keyword search, where embeddings show up in everyday apps, why document search sometimes misses, and how to judge tools built on it. No code, no math.

Some AI models pause to "think" before they answer. Learn what reasoning models actually do, why thinking step by step helps, how models are trained to reason, when a reasoning model is worth the extra time and cost, how to prompt one well, and where their thinking still goes wrong. No code, no math.

Understand what really happens when an AI agent books, searches, codes, or browses for you. Learn how a chatbot becomes an agent, follow the agent loop step by step through a real trace, see how tools and connectors work, why agents forget, why they fail, and how to judge an agent product before you trust it. No code, no math.

Move beyond writing prompts to engineering them. Build evals and rubrics to measure prompt quality objectively, use AI to write and refine your prompts, get reliable structured outputs, and run optimization loops that cut variance, cost, and latency.

Master Claude's Projects and Artifacts features with hands-on walkthroughs. Learn to set up organized workflows with custom instructions and knowledge files, create interactive artifacts for code, documents, and diagrams, understand the context window, and compare Projects with ChatGPT Custom GPTs.

Learn the most practical prompt engineering techniques in just 30 minutes. Master the 4-part prompt formula, specificity, iteration, and 5 power techniques that work across all AI tools.