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An AI engineer at Microsoft has just revealed how their teams build AI agents using Anthropic (Claude). It’s a free 34-minute workshop delivered directly by the Microsoft team. Save it to your favorites and watch it as soon as possible. 🔖 Opus 4.7 + more than 1,400 MCP tools...

411,114 次观看 • 3 个月前 •via X (Twitter)

14 条评论

jax 的头像
jax3 个月前

been waiting for something like this that actually shows production implementation instead of toy examples

xIA 的头像
xIA3 个月前

I'll watch it right now

科技与诱惑 的头像
科技与诱惑3 个月前

这个必须收藏了,微软团队直接教怎么用Claude搭AI agent,还是免费的1400+个MCP工具直接用,比那些割韭菜课程实在多了

Vance ai 的头像
Vance ai3 个月前

Free workshops from Microsoft engineers are quietly becoming some of the best technical AI content available. Meanwhile people are still paying $500 for courses that were recorded 8 months ago on models that have already been deprecated. The knowledge gap between people who know where to look and people who don't is getting wider every month.

rewind 的头像
rewind3 个月前

mcp is becoming the new app store

Smart 的头像
Smart3 个月前

@zrebroia Microsoft

Chick 的头像
Chick3 个月前

Zero excuses, watch it today.

jose_Phoebe 的头像
jose_Phoebe3 个月前

The MCP ecosystem is the real moat here — 1,400 tools means the agent can actually reach things that matter

Oravla Soul 的头像
Oravla Soul3 个月前

That's great to hear about Microsoft's workshop on building AI agents with Anthropic's Claude. For those looking to add unique character and purpose to their agents, offers 16 distinct SOUL.md personas to guide them.

Vikash Mishra 的头像
Vikash Mishra3 个月前

Practical workshops like this are usually more valuable than theory-heavy “AI courses

Anoy 的头像
Anoy3 个月前

actually wild considering they own OpenAI

MR ICE 的头像
MR ICE3 个月前

The AI space is moving so fast that practical workshops like this are worth more than expensive courses. Learning how real teams build, connect tools, and deploy agents to production is where the real value is. 🚀🔥

Smart 的头像
Smart3 个月前

Engineer

🌎アリス🌈(🍄キノコパフェ🍨記念日のアリス) 的头像
🌎アリス🌈(🍄キノコパフェ🍨記念日のアリス)3 个月前

34 minutes sounds like a solid workshop!

相关视频

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,256 次观看 • 1 年前