by rohitg00 · MCP 服务器 · ★ 71.3k
Journey • Get Started • Toolkit • Roadmap • Contribute • Glossary 230+ hands-on lessons across 20 phases. From linear algebra to autonomous agent swarms. Python, TypeScript, Rust, Julia. Every lesson produces something reusable: prompts, skills, agents, MCP servers. You learn AI. You build real things. You ship tools others can use. The Journey Phase 0: Setup & Tooling Get your environment ready for everything that follows. Phase 1: Math Foundations 22 lessons The intuition behind every AI algorithm, through code.
| Stars | 71,341 |
| Forks | 12,552 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 60.5978026395501/100 |
| Open Issues | 76 |
| Last Updated | 2026-10-19 |
| Created | 2026-03-18 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
Explore other popular mcp 服务器 tools:
ai-engineering-from-scratch is Learn AI Engineering! Learn it. Build it. Ship it for others.. It is categorized as a MCP 服务器 with 71.3k GitHub stars.
ai-engineering-from-scratch is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the ai-engineering-from-scratch GitHub repository at github.com/rohitg00/ai-engineering-from-scratch. The project has 71.3k stars and 12552 forks, indicating an active community.
ai-engineering-from-scratch is released under the MIT license, making it free to use and modify according to the license terms.