> For the complete documentation index, see [llms.txt](https://docs.stackai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.stackai.com/getting-started/learning/stackai-academy.md). # StackAI Academy Here you will Learn how to build, deploy, and manage secure AI agents using StackAI, the orchestration platform built for modern teams. This Academy is designed for anyone using StackAI. In this series, you’ll explore everything from connecting data and building workflows to customizing interfaces and applying advanced logic, all without needing to reinvent the wheel. ▶️ Start learning below. {% embed url="" %} Video modules include: 1\. Platform Overview 2\. Building Your First Workflow 3\. Agent Builder 4\. Deep Dive into UI 5\. Connecting your Data to an AI Agent 6\. Agentic Tools 7\. Using LLMs 8\. Logic Nodes 9\. Developer Capabilities 10\. Apps & Integrations 11\. Governance 12\. Handling Data 🔗 Try StackAI: --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.stackai.com/getting-started/learning/stackai-academy.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.