Each path is a set of guides to read in order, from the first lesson to the last. Pick one at your level, check what it covers and what you need to know first, then start at lesson one. Free, no account needed.
8 paths
This path teaches you to design prompts that do more than generate answers. They reason, verify, adapt and collaborate. You’ll learn how to build workflows that reduce errors, create consistency, and scale across complex tasks. Each guide combines theory with practice, so you’ll not only understand the techniques but also test them in small labs that make the difference visible. By the end, you’ll know how to turn a single model into a reliable system: one that can explain its steps, double-check its own work, and even coordinate multiple reasoning strategies before deciding on the best answer.
What you learn
+ 4 more
The complete path to building AI agents in Python with Promptise Foundry, from your first agent to production. You start with what an agent is and how to build one, give it tools through the Model Context Protocol, add memory and retrieval, and choose reasoning patterns. Then you make it safe and dependable: guardrails, prompt injection defense, human approvals, tracing and debugging, cost limits and evals. The path ends with running agents in production: triggers, crash recovery, deployment and the promptise run project runner. Every guide explains one concept and shows runnable code.
What you learn
+ 9 more
A free, practical course for anyone who uses ChatGPT, Claude, Gemini or Copilot at work. You learn to write prompts that get usable results for emails, summaries, meeting notes, reports and analysis; to keep company data safe; and to check AI answers before you rely on them. Role playbooks show the same skills applied to HR, marketing, sales and finance. No technical background needed.
What you learn
+ 1 more
For team leads, managers and executives who decide where AI goes in their organization. You learn what AI agents can and cannot do today, how to pick use cases with a scorecard, when to build and when to buy, how to roll AI out to a team in 90 days, and how to measure whether it pays off. Every guide ends with a tool you can copy: a scorecard, a decision table, a rollout plan or an ROI worksheet.
What you learn
+ 2 more
For IT, security, platform and architecture leads bringing AI agents into a large organization. You assess where you stand with a maturity model, learn a vendor-neutral reference architecture, evaluate platforms with a weighted scoring sheet, and set up operational governance: owners, approvals, limits, logging and reviews. The path ends with what an agent runtime is and what to check before an agent goes live.
What you learn
+ 1 more
This path takes a true beginner from “I asked… it guessed” to “I ask clearly and get dependable results.” You’ll learn why language models follow structure more than intent, how to give them the right context, and how to lock the shape of outputs so they’re paste-ready. Along the way you’ll practice quick checks that reduce hallucinations, add gentle reasoning, and shape tone without losing accuracy. The last modules introduce multimodal basics and a tiny step into retrieval so you can ground answers in your own material. Everything is hands-on, narrative-first, and easy to reuse at work.
What you learn
A free LLM security course for developers and security teams, from how LLM attacks work to defending production systems. You learn the main attack vectors (prompt injection, data leakage, unsafe output), how to structure prompts and validate input and output, how to red-team your own system, and how to monitor and respond when something goes wrong. Each lesson is a hands-on guide with examples you can run.
What you learn
+ 9 more
This path helps you shift from using prompts to thinking like a prompt engineer. Instead of teaching techniques, it introduces mental models. These are ways of seeing and reasoning about large language models. Each guide is a mindset essay with visual diagrams and reflection prompts that sharpen your intuition, inspire creativity, and build the resilience needed to invent new solutions. By the end, you’ll think like a builder, a critic, and a collaborator with AI.
What you learn
+ 3 more
Every guide also works on its own. Browse all of them by topic, level and reading time.