Google Packs Agentic Engineering Intro into 1 Hour, with Timestamps Listed
X user Dhairya Karekar shared a 1-hour agentic engineering course, covering everything from the first AI agent to memory, long-running loops, MCP, and multi-agent systems, with full timestamps and the original video.
X user Dhairya Karekar posted that Google has launched a 1-hour introductory course on agentic engineering. The original post lists the chapter timestamps very clearly, and the video is embedded directly.
The course covers six sections:
- 00:00 How to build your first AI agent
- 08:24 Building memory for agents, divided into short-term, persistent, and long-term
- 28:34 Agent loops and long-running AI agents
- 40:04 How to build MCP, and the difference between MCP and API
- 1:00:22 Multi-agent systems
The original post puts it bluntly: this 1 hour can replace 10 paid agent courses online. Whether that holds true you'll have to judge after watching, but the table of contents does string together topics that are often sold separately. MCP can be understood as an interface specification that lets models connect to tools and data, while API is more about traditional service calls; an agent loop is about letting the model look at results, decide the next step, and continue executing until the task is complete.
For AI practitioners with a development background, the MCP vs. API comparison at 40:04 is closer to engineering implementation. For readers without a technical background, start with 00:00 to 08:24 to build a basic outline of what an agent is.
Original post link: https://x.com/dkare1009/status/2119407086362640714
发布时间: 2026-11-09 01:37