According to @AndrewYNg, a new short course titled Building Live Voice Agents with Google’s ADK teaches how to build a voice-activated assistant that chains actions to create a multi-speaker podcast while maintaining context, implementing guardrails, reasoning, and handling low-latency audio streaming; the course is taught by Google’s @lavinigam and @sitalakshmi_s and is available via deeplearning.ai. Source: @AndrewYNg; deeplearning.ai short course page. ADK provides modular components for easier agent build-and-debug and a built-in web interface for tracing agentic reasoning, signaling a maturing realtime agent tooling stack that traders can monitor as an AI narrative input in crypto; key watchpoints include developer adoption during the course rollout and visibility of agentic workflows in public demos. Source: @AndrewYNg; deeplearning.ai short course page.

According to @DeepLearningAI, it launched a free short course titled Building Live Voice Agents with Google’s ADK that teaches using Google’s open-source Agent Development Kit to build real-time voice agents connected to Google Search, with turn memory, custom tools and API access, safety guardrails, multi-agent orchestration to produce a podcast, and methods for production deployment, taught by Google ML engineers @laviatgcp and @sitalakshmi_s (source: DeepLearning.AI on X, Oct 15, 2025, https://twitter.com/DeepLearningAI/status/1978483581866418179; enrollment: https://hubs.la/Q03NJrdg0). The post states enrollment is free and does not mention cryptocurrencies or blockchain integrations (source: DeepLearning.AI on X, Oct 15, 2025, https://twitter.com/DeepLearningAI/status/1978483581866418179).

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.