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Ex-Google Jeff Dean just released the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - How to use AI models 30:03 - Prompt engineering 52:35 - One human coordinating 100 agents 27 years of building AI at Google, compressed into one... show more

Mahax

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64,702 次观看 • 2 天前 •via X (Twitter)

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Morty 的头像

Morty2 天前

bookmarked this alpha

rewind 的头像

rewind2 天前

Saved it

mokla 的头像

mokla2 天前

The real leap is from prompting one model to coordinating a hundred.

Dropper 的头像

Dropper2 天前

One human coordinating a hundred agents is the part every builder should sit with. Good share.

null 的头像

null2 天前

Every time i sit through a proper lecture, my own agent loops come out cleaner.

Aryan Pegwar 的头像

Aryan Pegwar2 天前

I have watched this complete video and created a skill.md file to implement the engineering segments into my Agentic Workflow and am sharing it exclusively for the first 100 people who DM "skill"

AI Mastery Guide 的头像

AI Mastery Guide2 天前

27 years in one video

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Ex-Google Jeff Dean just released the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - How to use AI models 30:03 - Prompt engineering 52:35 - One human coordinating 100 agents 27 years of building AI at Google, compressed into one hour. Watch it, then read the full guide on Graph engineering below.

Ex-Google Jeff Dean just released the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - How to use AI models 30:03 - Prompt engineering 52:35 - One human coordinating 100 agents 27 years of building AI at Google, compressed into one hour. Watch it, then read the full guide on Graph engineering below.

Mahax

347,121 次观看 • 10 天前

Ex-Google Jeff Dean just dropped a 1-hour lecture on full AI engineering: from LLMs to Graphs 1:45 - LLM from scratch 17:22 - How to use AI models 30:03 - Prompt engineering 52:35 - One human coordinating 100 agents 27 years of building AI at Google, compressed into one hour. Watch it, then read the full guide on Graph engineering below.

Ex-Google Jeff Dean just dropped a 1-hour lecture on full AI engineering: from LLMs to Graphs 1:45 - LLM from scratch 17:22 - How to use AI models 30:03 - Prompt engineering 52:35 - One human coordinating 100 agents 27 years of building AI at Google, compressed into one hour. Watch it, then read the full guide on Graph engineering below.

Mahax

91,750 次观看 • 1 个月前

Ex-Google Jeff Dean just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 1:45 - LLM from scratch - that made Google 30% → 17:22 - how to actually use AI models 65% → 30:03 - prompt engineering 100% → 52:35 - one human coordinating 100 agents this is 27 years of AI in Google compressed into one hour, by the person who lived it watch it today - then read how to build graphs in the article below ↓

Ex-Google Jeff Dean just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 1:45 - LLM from scratch - that made Google 30% → 17:22 - how to actually use AI models 65% → 30:03 - prompt engineering 100% → 52:35 - one human coordinating 100 agents this is 27 years of AI in Google compressed into one hour, by the person who lived it watch it today - then read how to build graphs in the article below ↓

codila

571,728 次观看 • 1 个月前

Google just released a free 1-hour lecture from Chief Scientist Jeff Dean on full AI Engineering. How to go from one LLM to coordinating 100 AI agents: 01:45 - Build an LLM from scratch 17:22 - Learn how to actually use AI models 30:03 - Master prompt engineering 52:35 - Coordinate 100 agents as one human Most people are still learning how to prompt one model. Jeff Dean is showing the full stack: LLMs → Prompts → Agents → Agent Teams → Graphs Prompting is the old workflow. Coordinating agent systems is the new one. This is 27 years of Google AI compressed into one hour. Bookmark and watch it today Then read the full Graph Engineering guide below ↓

Google just released a free 1-hour lecture from Chief Scientist Jeff Dean on full AI Engineering. How to go from one LLM to coordinating 100 AI agents: 01:45 - Build an LLM from scratch 17:22 - Learn how to actually use AI models 30:03 - Master prompt engineering 52:35 - Coordinate 100 agents as one human Most people are still learning how to prompt one model. Jeff Dean is showing the full stack: LLMs → Prompts → Agents → Agent Teams → Graphs Prompting is the old workflow. Coordinating agent systems is the new one. This is 27 years of Google AI compressed into one hour. Bookmark and watch it today Then read the full Graph Engineering guide below ↓

Lunar

102,011 次观看 • 1 个月前

Google just released a free 1-hour lecture from Chief Scientist Jeff Dean on full AI Engineering. How to go from one LLM to coordinating 100 AI agents: 0% → 01:45 - build an LLM from scratch 30% → 17:22 - learn how to actually use AI models 60% → 30:03 - master prompt engineering 100% → 52:35 - coordinate 100 agents as one human Most people are still learning how to prompt a single model. Jeff Dean is showing the entire stack: LLMs → Prompts → Agents → Agent Teams → Graphs Prompting is the old workflow. Coordinating entire agent systems is the next one. This is 27 years of Google AI compressed into a single hour. Bookmark it and watch today. Then read the full Graph Engineering guide below ↓

Google just released a free 1-hour lecture from Chief Scientist Jeff Dean on full AI Engineering. How to go from one LLM to coordinating 100 AI agents: 0% → 01:45 - build an LLM from scratch 30% → 17:22 - learn how to actually use AI models 60% → 30:03 - master prompt engineering 100% → 52:35 - coordinate 100 agents as one human Most people are still learning how to prompt a single model. Jeff Dean is showing the entire stack: LLMs → Prompts → Agents → Agent Teams → Graphs Prompting is the old workflow. Coordinating entire agent systems is the next one. This is 27 years of Google AI compressed into a single hour. Bookmark it and watch today. Then read the full Graph Engineering guide below ↓

Lunar

24,107 次观看 • 16 天前

Andrew Ng just released 1-hour course on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 0:17 - LLM understanding from scratch 30% → 20:02 - how to actually write Prompts 55% → 29:03 - build your first team of agents 100% → 47:19 - final stage of agents: Graphs this is 30 years of AI engineering compressed into one hour, by the person who lived it watch it today - then learn how to build graphs in the article below ↓

Andrew Ng just released 1-hour course on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 0:17 - LLM understanding from scratch 30% → 20:02 - how to actually write Prompts 55% → 29:03 - build your first team of agents 100% → 47:19 - final stage of agents: Graphs this is 30 years of AI engineering compressed into one hour, by the person who lived it watch it today - then learn how to build graphs in the article below ↓

codila

80,039 次观看 • 1 个月前

Stanford Professors just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 0:35 - LLM from scratch 30% → 17:56 - how to actually prompt to AI models 65% → 36:09 - building self-improving loops and agent teams 100% → 50:36 - 100% automation system with graphs This 1-hour lecture replaces 10 hours of other $1000 AI courses watch this brilliant course, build the full system - then read the architecture below ↓

Stanford Professors just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 0:35 - LLM from scratch 30% → 17:56 - how to actually prompt to AI models 65% → 36:09 - building self-improving loops and agent teams 100% → 50:36 - 100% automation system with graphs This 1-hour lecture replaces 10 hours of other $1000 AI courses watch this brilliant course, build the full system - then read the architecture below ↓

codila

18,224 次观看 • 8 天前

My friend applied to 250 tech jobs in two years. No MIT. No Stanford. Last month SpaceXAI offered him $850,000. I asked him how he broke in from zero. He sent me the exact video that got him in. Google's 1 hour course on "Full AI Engineering in 2026". Ex- Google Jeff Dean shows you exactly how to build AI agents like Grok Bot from scratch. I watched it last night. Halfway through, I realized I could break into an AI lab in weeks, not years. Bookmark this and read the article below. • 00:00 - LLM foundation • 17:22 - how to actually use AI models • 30:03 - AI prompt engineering • 52:35 - one human coordinating 100 AI agents

My friend applied to 250 tech jobs in two years. No MIT. No Stanford. Last month SpaceXAI offered him $850,000. I asked him how he broke in from zero. He sent me the exact video that got him in. Google's 1 hour course on "Full AI Engineering in 2026". Ex- Google Jeff Dean shows you exactly how to build AI agents like Grok Bot from scratch. I watched it last night. Halfway through, I realized I could break into an AI lab in weeks, not years. Bookmark this and read the article below. • 00:00 - LLM foundation • 17:22 - how to actually use AI models • 30:03 - AI prompt engineering • 52:35 - one human coordinating 100 AI agents

Roan

655,125 次观看 • 20 天前

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Google just released free 2-hour course on full Graph engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 10:16 - build your first agent 40% → 41:05 - Prompt engineering 50% → 54:45 - Graph engineering 75% → 1:20:10 - Loop engineering (with graphs) 100% → 1:43:33 - the graph that builds itself most people ship one agent and stop - this is everything after watch it today - then read how to run 1000 agents from one prompt below ↓

codila

105,591 次观看 • 1 个月前

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Aria Westcott

26,526 次观看 • 1 个月前

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Google just dropped a 1-hour course on how to become an AI engineer in 2026: • 00:00 - Context engineering • 10:00 - How to build, deploy, and run AI agents • 31:52 - Agentic loops, long-running AI agents • 43:22 - Building MCP from scratch • 51:20 - Prompt engineering • 59:10 - AI development trends This 1-hour watch will replace a $500 AI engineering course. Watch it today, then read the full pipeline in the article below.

Codez

188,089 次观看 • 2 个月前

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Mahax

40,335 次观看 • 29 天前

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Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that builds itself: 10:16 - Build your first AI agent 41:05 - Master prompt engineering 54:45 - Turn agents into graphs 1:20:10 - Run loops inside agent graphs 1:43:33 - Build a graph that builds itself Most people ship one agent and stop there. Google is teaching everything after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read how to run 1,000 agents from one prompt below ↓

Lunar

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Google just released free 1-hour course on building agentic knowledge Graphs from 0% to 100%: 10% → 4:01 - how to build a GraphRAG agent 30% → 15:00 - Graph Engineering explanation 55% → 30:00 - Agentic search Engineering 80% → 35:48 - Graph Engineering practice 100% → 47:06 - self-improving agents in graphs this free Google course mass replaces a $500 graph engineering bootcamp - learn it in 60 min to 100% watch it today - then read the full graph playbook in the article below ↓

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codila

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Codez

196,755 次观看 • 1 个月前

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Movez

14,822 次观看 • 1 个月前

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Morty

10,451 次观看 • 13 天前

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

Lunar

402,559 次观看 • 1 个月前

Anthropic senior engineer just released 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 0% → 00:36 - build first agent from one prompt 30% → 44:56 - agent teams: scale 1 agent into 100 75% → 1:26:36 - loop engineering: skills → hooks → MCP 100% → 1:52:42 - graph engineering: full agent system most people build 1 agent and stop there - this is the full path to a 24/7 system from scratch watch this best course on agents - then read the full graph engineering architecture below ↓

Anthropic senior engineer just released 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 0% → 00:36 - build first agent from one prompt 30% → 44:56 - agent teams: scale 1 agent into 100 75% → 1:26:36 - loop engineering: skills → hooks → MCP 100% → 1:52:42 - graph engineering: full agent system most people build 1 agent and stop there - this is the full path to a 24/7 system from scratch watch this best course on agents - then read the full graph engineering architecture below ↓

codila

54,807 次观看 • 10 天前

Google just released the best 1-hour course on Graph Engineering: from single agent to a full 24/7 system 00:00 - What Graphs are 09:16 - Build an agent 21:15 - Graph engineering explained 41:03 - Graph engineering practice 52:21 - Self improving Graphs Free, the best thing on Graph engineering I've come across Watch it, then build your first graph with the step-by-step guide below

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Mahax

142,530 次观看 • 11 天前