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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.
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Go beyond wording a single prompt. Learn to control everything an AI model sees: build a reusable context pack, feed long documents so nothing gets lost, choose between pasting and retrieval, and manage long conversations with clean handoffs. Works with ChatGPT, Claude, Gemini, and any other assistant. No code.
Find out why ChatGPT, Claude, and Gemini feel helpful, polite, and safe instead of just completing text. A short, no-code course on reinforcement learning, supervised fine-tuning, reward models, PPO and DPO, and the side effects of alignment like sycophancy and reward hacking. The natural next step after How LLMs Actually Work.
Go one level under the hood of ChatGPT, Claude, and Gemini. Understand tokens, next-token prediction, context windows, model parameters, Mixture of Experts, and why AI models cost money to run. A short, no-code course for people who use AI every day.
Go beyond generic prompt engineering and master Claude-specific techniques. Learn XML tags, extended thinking, system prompt design, CLAUDE.md files, MCP integration, and agentic workflows to unlock Claude's full potential.
Master the art of chaining AI prompts and building sophisticated workflows. Learn to design multi-step AI pipelines, handle errors gracefully, implement branching logic, manage context, and build production-ready AI workflows for research, content creation, and code generation.
Master prompt engineering through hands-on exercises. Learn prompt structure, few-shot learning, chain-of-thought reasoning, and advanced techniques with instant feedback. Build real-world prompts for code generation, content writing, and data analysis.