Mastra · Course Guide
This course spans 21 chapters, based on the Mastra official documentation and repository, covering TypeScript full-stack AI application frameworks.
What You Will Learn
| Stage | Chapters | Content |
|---|---|---|
| Getting Started | 01–06 | Project scaffold, Studio, model routing, Agent, tools |
| Intermediate | 07–13 | Workflow graph engine, Suspend/Resume, Memory, RAG, Storage |
| Advanced | 14–17 | MCP Server, Evals, observability, frontend integration |
| Production | 18–21 | Standalone deployment & server-side · Three capstones: production-grade smart customer service / full-stack AI app / data Q&A BI Agent |
Official Reference Sources
| Source | Link |
|---|---|
| GitHub | mastra-ai/mastra |
| Official docs | https://mastra.ai/docs |
| Model routing | https://mastra.ai/models |
Prerequisites
- TypeScript / Node.js basics;
- Node.js 20+; at least one LLM provider API key.
👉 Start with Chapter 1.