According to Andrew Ng (@AndrewYNg), a new short course titled 'Build AI Apps with MCP Servers: Working with Box Files' has launched, developed in partnership with Box and taught by their CTO, BenAtBox. The course demonstrates how the Model Context Protocol (MCP) can eliminate the need for custom integration code by allowing AI applications to offload file operations to dedicated servers. Learners will gain practical skills in building LLM-powered document processing apps using the Box MCP server, leveraging tools that large language models (LLMs) can access directly. The curriculum also covers designing multi-agent systems with Google's Agent Development Kit (ADK) and orchestrating workflows via the Agent2Agent (A2A) protocol. This approach streamlines file access for AI applications, accelerating secure enterprise document processing and opening up new business opportunities in AI-driven workflow automation, as cited by Andrew Ng's official Twitter announcement.

According to DeepLearning.AI, a new short course in partnership with Box teaches developers how to build AI applications using Box MCP Servers, focusing on working with Box files and integrating large language models (LLMs). Taught by Box CTO Ben Kus, the course demonstrates practical workflows: starting with manual file processing, refactoring code for MCP compliance, and connecting the app to Box’s MCP server for direct file operations. The curriculum then advances to designing multi-agent systems coordinated via the A2A protocol, highlighting real-world business applications for secure, scalable enterprise AI solutions. This course provides concrete, hands-on training for developers aiming to leverage Box’s AI ecosystem for document automation, intelligent file processing, and collaborative agent-driven workflows (source: DeepLearning.AI on Twitter, Sep 17, 2025).