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.
Most prompt engineering advice is written for generic chatbots, but Claude rewards a different approach, and this free Claude prompt engineering course teaches the techniques that unlock Anthropic's models specifically. You'll learn why Claude responds so well to XML tags, how to structure prompts and outputs with them, and how to use system prompts, response prefilling, and Projects to get consistent, formatted results. From there you'll move into extended thinking, knowing when to ask Claude to reason step by step and how to prompt for it effectively.
This intermediate course goes well beyond chat. You'll learn to prompt Claude for high-quality code generation, write effective CLAUDE.md files, work with the Claude Code CLI, and design review and security-audit prompts. A full section covers tools, the Model Context Protocol, and agentic workflows, so you can structure multi-step tasks and connect Claude to real resources instead of copy-pasting back and forth.
It is built for developers, technical professionals, and serious AI users who already use Claude and want to get noticeably more out of it. You do not need API experience to start, and the patterns apply whether you use Claude.ai or the API. Like everything on FreeAcademy, the course is 100% free with no signup required to begin. Finish the lessons and pass the final exam to earn a certificate of completion for your LinkedIn or resume, and leave able to write production-grade Claude prompts and agentic workflows with confidence.
7 modules • 26 lessons
Claude responds especially well to XML tags for structuring prompts and outputs, to system prompts and response prefilling, and to extended thinking. This course focuses on those Claude-specific techniques rather than generic prompting.
No. The techniques apply whether you use Claude.ai or the API, and the course starts from the fundamentals before moving into code generation, CLAUDE.md files, and the Claude Code CLI.
It covers XML tag patterns, system prompts and prefilling, extended thinking, code and security-audit prompts, the Model Context Protocol, tool use, and multi-step agentic workflows.
Yes. It includes real-world patterns for research and document analysis, content workflows, structured data extraction, and building production apps with the Claude API.
Yes. The course is completely free with no signup to start, and you earn a certificate of completion for LinkedIn or your resume after passing the final exam.
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 Code, Anthropic's agentic coding tool. Learn installation across CLI, desktop, web, and IDE extensions. Master core workflows for reading, writing, debugging, and refactoring code. Configure CLAUDE.md files, memory, slash commands, MCP servers, and hooks. Build real features and compare Claude Code with Cursor and Copilot.
Learn Python from zero with a focus on AI and data science. Master the language essentials, then use ChatGPT, Claude, and Gemini as coding tutors while you build real projects with NumPy, pandas, matplotlib, and scikit-learn. Perfect for university students and early-career learners. No prior coding required, and you earn a free certificate to add to your LinkedIn and resume.
Master the art of crafting effective AI prompts 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.
Already know basic Python? Build one real thing end to end: a small AI data app that loads a dataset, sends a slice of it to a language model, and turns the response into a written analysis. You will use pandas only as much as the app needs, call an LLM API directly (no agents, no frameworks), wire the pieces into a single script with real error handling, and ship it as a shareable Streamlit app you can run locally. A project-based intermediate course with a free certificate of completion.
Master advanced Claude Code workflows including agent mode, multi-agent orchestration with subagents, custom slash commands and agents, hooks automation, memory systems, MCP server integrations, headless CI/CD pipelines, production agent systems, and enterprise team patterns.