According to @DeepLearningAI, Andrew Ng introduced a beginner-friendly course called Build with Andrew that lets non-coders turn ideas into working web apps by describing requirements to AI, with projects completed in under 30 minutes; source: DeepLearning.AI on X, Jan 7, 2026. The announcement highlights no-code app building and provides an enrollment link at hubs.la/Q03ZQDHq0 for immediate access; source: DeepLearning.AI on X, Jan 7, 2026. From a trading perspective, the source does not mention cryptocurrencies or tokens, indicating no direct crypto market catalyst in this announcement; source: DeepLearning.AI on X, Jan 7, 2026.

According to Andrew Ng, DeepLearning.AI released a short course built with Box and taught by Box CTO Ben that shows how to build LLM applications using the Model Context Protocol MCP. Source: Andrew Ng on X — Sep 17, 2025 — deeplearning.ai/short-courses/build-ai-apps-with-mcp-server-working-with-box-files. The course demonstrates processing documents stored in Box folders through the Box MCP server so an LLM can use file tools directly without writing custom integration code. Source: Andrew Ng on X — Sep 17, 2025. The curriculum covers designing a multi-agent system with Google’s Agent Development Kit ADK and coordinating agents via the Agent2Agent A2A protocol under an orchestrator. Source: Andrew Ng on X — Sep 17, 2025. Learners start with a local file-processing app, refactor it to the Box MCP server, and evolve it into a multi-agent workflow, providing a concrete blueprint for enterprise file operations in agentic AI. Source: Andrew Ng on X — Sep 17, 2025. For traders, this spotlights standardized agent tooling tied to real enterprise data via MCP and Box, a practical reference for assessing enterprise AI integration themes monitored by AI and crypto market participants. Source: Andrew Ng on X — Sep 17, 2025.