Skip to content

Commit 45a7f6d

Browse files
authored
Merge pull request #108 from huggingface/reference-anthropic
add more collaborators
2 parents 99c64ef + aad375e commit 45a7f6d

File tree

2 files changed

+12
-6
lines changed

2 files changed

+12
-6
lines changed

units/en/unit0/introduction.mdx

Lines changed: 4 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -6,10 +6,6 @@ Welcome to the most exciting topic in AI today: **Model Context Protocol (MCP)**
66

77
This free course, built in partnership with [Anthropic](https://www.anthropic.com), will take you on a journey, **from beginner to informed**, in understanding, using, and building applications with MCP.
88

9-
If you don't know about MCP, Anthropic published a video about it:
10-
<Youtube id="CQywdSdi5iA" />
11-
In this video Theo Chu, David Soria Parra and Alex Albert dive into the Model Context Protocol (MCP), the standard that's changing how AI applications connect with external data and tools.
12-
139
This first unit will help you onboard:
1410

1511
* Discover the **course's syllabus**.
@@ -122,12 +118,15 @@ Ben is a Machine Learning Engineer at Hugging Face who focuses on building LLM a
122118

123119
### Alex Notov
124120

125-
Alex is Technical Partner Enablement Lead at Anthropic. Alex trains Anthropic's partners on Claude best practices for their use cases. Follow Alex on [LinkedIn](https://linkedin.com/in/zealoushacker) and [GitHub](https://github.com/zealoushacker).
121+
Alex is Technical Partner Enablement Lead at [Anthropic](https://www.anthropic.com) and worked on unit 3 of this course. Alex trains Anthropic's partners on Claude best practices for their use cases. Follow Alex on [LinkedIn](https://linkedin.com/in/zealoushacker) and [GitHub](https://github.com/zealoushacker).
126122

127123
## Acknowledgments
128124

129125
We would like to extend our gratitude to the following individuals and partners for their invaluable contributions and support:
130126

127+
- [Gradio](https://www.gradio.app/)
128+
- [Continue](https://continue.dev)
129+
- [Llama.cpp](https://github.com/ggerganov/llama.cpp)
131130
- [Anthropic](https://www.anthropic.com)
132131

133132
## I found a bug, or I want to improve the course

units/en/unit3/introduction.mdx

Lines changed: 8 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -2,6 +2,12 @@
22

33
Welcome to Unit 3! In this unit, we'll build a practical MCP server that enhances Claude Code with custom development workflows while learning all three MCP primitives.
44

5+
If you'd like to hear from the creators of MCP, here's a video they made:
6+
7+
<Youtube id="CQywdSdi5iA" />
8+
9+
In this video Theo Chu, David Soria Parra and Alex Albert dive into the Model Context Protocol (MCP), the standard that's changing how AI applications connect with external data and tools.
10+
511
## What You'll Build
612

713
**PR Agent Workflow Server** - An MCP server that demonstrates how to make Claude Code team-aware and workflow-intelligent:
@@ -76,4 +82,5 @@ Once installed, you'll use Claude Code throughout this unit to test your MCP ser
7682

7783
</Tip>
7884

79-
By the end of this unit, you'll have built a complete MCP server that demonstrates how to transform Claude Code into a powerful team development assistant, with hands-on experience using all three MCP primitives.
85+
By the end of this unit, you'll have built a complete MCP server that demonstrates how to transform Claude Code into a powerful team development assistant, with hands-on experience using all three MCP primitives.
86+

0 commit comments

Comments
 (0)