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Learn system prompts, few-shot examples and chain of thought for any LLM.
Learn AI prompting the practical way. Short lessons show why one prompt gets a vague answer and a better one gets exactly what you need. It is a prompt engineering course on your phone: from your first clear request to system prompts, few-shot examples, chains and testing. No coding needed for the lessons. Every idea is explained in plain language, with before-and-after examples you can reuse with any AI chatbot or large language model (LLM). The same skills work across LLMs. WHAT'S INSIDE • 53 courses and 199 bite-sized lessons, from beginner (A1) to expert (C2) • 20 debugging missions: find out why a prompt failed and pick the fix • 20 guided projects in Python: templates, a JSON output check, a token budget and a small test set, step by step • AI mentor chat: ask about any concept and get a clear answer • Cheat sheet with 75 patterns, 50 quiz questions and 50 interview questions • Certificate exam when you finish the track • Streaks, XP and daily reminders • App in 22 languages WHAT YOU'LL LEARN Prompt writing basics • How to write prompts that name the task, the audience and the goal • Context, constraints, length and tone, so the model stops guessing • Output formats you can use: bullet points, tables and JSON • Iterative refinement: rewrite a weak request and compare the answers Prompt design patterns • Roles and system prompt design • Few-shot prompting: teaching the model with examples • Chain-of-thought and tree-of-thought reasoning • Reusable templates and variables • Extraction and classification • Temperature and sampling settings, and when they matter Advanced prompt engineering • Chaining and pipelines, self-improvement and LLM-as-judge • Testing, regression checks and debugging failures • Prompt injection and how to defend against it • Hallucinations, bias and guardrails for safer answers • Long documents, long context and retrieval-augmented generation (RAG) • Structured generation with JSON Schema • Code generation, image generation, vision, audio and voice • Tool use, AI agents and multi-agent orchestration • Automated optimization with DSPy, meta-prompting, and prompting vs fine-tuning DEBUGGING MISSIONS Each mission starts from a real problem: an answer that could be about anything, a model that still rambles after you said "be brief", a confident answer that was never in the document, three examples that produced three formats, or a request that breaks when a field is blank. You read the case, choose the fix and see why it works. Seven easy, eight medium and five hard. GUIDED PROJECTS Twenty short projects turn good habits into checks. You write small Python functions around a prompt: fill template slots, count tokens against a budget, parse a JSON reply, score answers against a rubric, redact personal data, and compare two versions honestly. Your code runs on a real Python runtime and prints the result. A simple stand-in replaces the model, so every run gives the same answer and the lesson stays clear. WHO IT'S FOR • Beginners who use AI chatbots and want better answers • Students, writers, marketers and anyone building AI skills for work • Developers and product people who build features on LLMs • Anyone preparing for a prompt engineer role or interview FREE AND PRO Free: the first course, 2 missions, the first project, one AI mentor question per day and one AI-generated lesson per week. The free version shows ads. Pro: every course and lesson, all 20 missions and 20 projects, unlimited AI mentor, the certificate exam, and no ads. Pro is a weekly, monthly or yearly subscription, or a one-time lifetime purchase, through Google Play. You can cancel a subscription any time in Google Play. The skills work with any chatbot, including ChatGPT, Gemini and Claude. This app is not affiliated with OpenAI, Google or Anthropic. Privacy Policy: https://www.coddykit.com/terms/privacy-policy