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Google just dropped a free 1-hour course On building complete agent systems from scratch: 07:02 - Build your first AI agent 13:34 - Give every agent a specialized skill 23:08 - Engineer the right context 32:56 - Connect agents into graphs 54:11 - Run 1,000 agents in autonomous loops...

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26,927 görüntüleme • 2 gün önce •via X (Twitter)

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Google just released a free 2-hour+ course on full agent engineering. How to go from one prompt to a system that runs while you sleep: 38:46 - Build your first AI agent 54:46 - Connect MCP tools 1:12:43 - Run agents with four loop patterns 1:20:57 - Turn agent loops into graphs 2:22:31 - Build the complete autonomous system Most people are still building one agent and stopping there. Google is already teaching the full stack: Agents → Tools → Loops → Graphs → Autonomous Systems Single agents are the old workflow. Systems that run without you are the new one. This course is worth more than most paid agent engineering bootcamps. Bookmark and watch it today Then read the full graph engineering playbook below
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Google just released a free 2-hour+ course on full agent engineering. How to go from one prompt to a system that runs while you sleep: 38:46 - Build your first AI agent 54:46 - Connect MCP tools 1:12:43 - Run agents with four loop patterns 1:20:57 - Turn agent loops into graphs 2:22:31 - Build the complete autonomous system Most people are still building one agent and stopping there. Google is already teaching the full stack: Agents → Tools → Loops → Graphs → Autonomous Systems Single agents are the old workflow. Systems that run without you are the new one. This course is worth more than most paid agent engineering bootcamps. Bookmark and watch it today Then read the full graph engineering playbook below

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Anthropic engineer just dropped a 1-hour+ workshop on Graph Engineering. "80% of our engineers are already using self-improving loops. Now everyone is building agentic graphs." 00:00 - Graph engineering for agents 08:40 - Build your first agent graph 30:36 - Add graph-based memory 58:40 - Build long-term agent memory 1:21:54 - Deploy the full system Most people are still adding memory to isolated agents. Anthropic engineers are already building memory into graphs. Static memory is the old workflow. Graph memory is the new one. This workshop is worth more than most $500 agent memory courses. Bookmark and watch it before everyone catches up. Then read the full graph engineering roadmap below
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Anthropic engineer just dropped a 1-hour+ workshop on Graph Engineering. "80% of our engineers are already using self-improving loops. Now everyone is building agentic graphs." 00:00 - Graph engineering for agents 08:40 - Build your first agent graph 30:36 - Add graph-based memory 58:40 - Build long-term agent memory 1:21:54 - Deploy the full system Most people are still adding memory to isolated agents. Anthropic engineers are already building memory into graphs. Static memory is the old workflow. Graph memory is the new one. This workshop is worth more than most $500 agent memory courses. Bookmark and watch it before everyone catches up. Then read the full graph engineering roadmap below

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Don't waste 2 years learning to build AI agents. An Anthropic engineer who built Claude Code tells you what to learn from scratch instead. 60 minutes course. Free: 00:00 - AI agent architecture 24:47 - LangGraph AI agent 29:15 - building AI agents live Prompting is the old job. Building AI agent loops is the new one. Bookmark now & watch it. Then build your own AI agent with the guide below.
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Don't waste 2 years learning to build AI agents. An Anthropic engineer who built Claude Code tells you what to learn from scratch instead. 60 minutes course. Free: 00:00 - AI agent architecture 24:47 - LangGraph AI agent 29:15 - building AI agents live Prompting is the old job. Building AI agent loops is the new one. Bookmark now & watch it. Then build your own AI agent with the guide below.

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Google just released free 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 38:46 - build your first agent 30% → 54:46 - connect MCP tools 55% → 1:12:43 - Loop engineering: 4 ways to run agents 70% → 1:20:57 - Graph engineering 100% → 2:22:31 - the full system that works while you sleep most people build one agent and stop there - this is the full path to a system that runs without you from scratch watch it today - then read the full graph engineering playbook below ↓
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Google just released free 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 38:46 - build your first agent 30% → 54:46 - connect MCP tools 55% → 1:12:43 - Loop engineering: 4 ways to run agents 70% → 1:20:57 - Graph engineering 100% → 2:22:31 - the full system that works while you sleep most people build one agent and stop there - this is the full path to a system that runs without you from scratch watch it today - then read the full graph engineering playbook below ↓

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agents → tools → loops → graphs → autonomous systems Google just put all five in one free course. most people stop after the first one. 2 hours 17 minutes, taught by a Developer Relations Engineer at Google Cloud. no signup, no paywall. 39:45 - build your first agent 56:10 - connect MCP tools 1:14:34 - four loop patterns for running it 1:23:01 - turn those loops into a graph 2:05:00 - wire the whole thing into one autonomous system the progression is the point. one agent is a demo, an agent with tools does work. loops let it keep going. graphs let several of them coordinate. only the last step runs without you in the room. most people are still tuning the prompt inside step one. worth more than most paid agent bootcamps. bookmark and watch it today, then read the full graph engineering breakdown below
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agents → tools → loops → graphs → autonomous systems Google just put all five in one free course. most people stop after the first one. 2 hours 17 minutes, taught by a Developer Relations Engineer at Google Cloud. no signup, no paywall. 39:45 - build your first agent 56:10 - connect MCP tools 1:14:34 - four loop patterns for running it 1:23:01 - turn those loops into a graph 2:05:00 - wire the whole thing into one autonomous system the progression is the point. one agent is a demo, an agent with tools does work. loops let it keep going. graphs let several of them coordinate. only the last step runs without you in the room. most people are still tuning the prompt inside step one. worth more than most paid agent bootcamps. bookmark and watch it today, then read the full graph engineering breakdown below

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Google just released free 2-hour course on full Graph engineering: 1 prompt → 100 agents → loops → graphs from 0% to 100%: 10% → 17:44 - build your first agent 30% → 39:30 - Loop engineering: iterate, check, break 60% → 1:12:38 - Graph engineering 75% → 1:34:26 - agents that throttle themselves 100% → 1:55:05 - full graph for multi-agentic systems everyone builds one agent and calls it done - this is the full system where agents wire themselves into a graph watch the course, build the graph - then read the full architecture below ↓
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Google just released free 2-hour course on full Graph engineering: 1 prompt → 100 agents → loops → graphs from 0% to 100%: 10% → 17:44 - build your first agent 30% → 39:30 - Loop engineering: iterate, check, break 60% → 1:12:38 - Graph engineering 75% → 1:34:26 - agents that throttle themselves 100% → 1:55:05 - full graph for multi-agentic systems everyone builds one agent and calls it done - this is the full system where agents wire themselves into a graph watch the course, build the graph - then read the full architecture below ↓

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ex-Anthropic engineer: "I left Anthropic to build agents systems in Google but nothing beats Claude as an agent yet - in coding and tool use, the rest are still behind " in this 90-min podcast, he showed how to build effective agent system with Claude from scratch to get into Anthropic, he hand-coded Karpathy's nanoGPT as a physicist Claude → tools → loops of verification → a real agent and why, at Google, he says Claude is the best watch & bookmark - then read the guide to agent systems ↓

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The best way to learn AI is to build with agents. To help with that, we've launched hands-on labs and a new series on Agentic Engineering. First topic: Agent Skills. Next in the pipeline: planning, context engineering, multi-agent systems, long-running agents,.. Go build!
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The best way to learn AI is to build with agents. To help with that, we've launched hands-on labs and a new series on Agentic Engineering. First topic: Agent Skills. Next in the pipeline: planning, context engineering, multi-agent systems, long-running agents,.. Go build!

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Google senior engineer just dropped a free 8-minute lesson on building AI agentic systems. This is the clearest explanation of multi-agent AI systems and loops you'll find on the internet. People still paying 500$ for agentic courses, while Google makes it for free. Agent Studio → Loops → Managed Agents → Antigravity → ADK 2.0 - thats the stack Watch it, then read the full guide on loop engineering below.

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Google just dropped a free 8-minute lesson on building your first AI agent. This is the clearest explanation of AI agents and loops you'll find anywhere. People are paying $500 for courses that teach less than this. Watch it, then read the step by step guide on building loops for your agents below.

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