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Andrew Ng just released a 1-hour course on building Context Agentic Graphs from scratch: • 00:00 - Introduction to agentic knowledge Graphs • 03:07 - Construction of agentic Graphs • 14:00 - Architecture of multi-agent systems • 23:00 - Building agentic graphs with Google ADK • 01:06:03 - Why... show more

Morty

5,021 subscribers

799,243 görüntüleme • 2 ay önce •via X (Twitter)

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Argona profil fotoğrafı

Argona2 ay önce

saving this for the neo4j half. entity resolution is what wrecked my last graph mate

Morty profil fotoğrafı

Morty2 ay önce

and how you solve it?

Archive profil fotoğrafı

Archive2 ay önce

saw this lecture 2 weeks ago already everyone who hasn't seen it, you're making a huge mistake

Apex profil fotoğrafı

Apex2 ay önce

I’m sure I will take huge value from this video

Morty profil fotoğrafı

Morty2 ay önce

and you right

Ricker profil fotoğrafı

Ricker2 ay önce

1 hour with Andrew feels like gold

Morty profil fotoğrafı

Morty2 ay önce

its literally gold, huge value from one hour

Yarchi profil fotoğrafı

Yarchi2 ay önce

insane value in here

Morty profil fotoğrafı

Morty2 ay önce

fact man

Hussain Hashim | Building SundayBack profil fotoğrafı

Hussain Hashim | Building SundayBack2 ay önce

@0xMortyx definitely need to carve out an hour for this. been diving into agentic graphs lately, and it's fascinating stuff.

rewind profil fotoğrafı

rewind2 ay önce

agentic graphs finally explained properly

Workspai profil fotoğrafı

Workspai2 ay önce

The next step is not just giving agents more context. It's giving them the right context.

CreateOS profil fotoğrafı

CreateOS2 ay önce

This is the real cost of fanning out agents. Parallel execution is the easy part. Reconciling 300 outputs into one coherent memory is the part nobody budgets time for.

Chase profil fotoğrafı

Chase2 ay önce

more Andrew courses, please

Genius💡💹🧲 🤖 profil fotoğrafı

Genius💡💹🧲 🤖2 ay önce

Context graphs could make agent memory and reasoning way more powerful

Morty profil fotoğrafı

Morty2 ay önce

agree with you

Fokki profil fotoğrafı

Fokki2 ay önce

brilliant lecture

Morty profil fotoğrafı

Morty2 ay önce

i also enjoy it

Moysha profil fotoğrafı

Moysha2 ay önce

booked, thx for your help

David Starmac Ai profil fotoğrafı

David Starmac Ai2 ay önce

Context engineering is quietly becoming the core differentiator in agentic systems — more than model choice itself. The multi-agent architecture section at 23:00 is probably the most practical part for anyone already past the basics.

OnFinality profil fotoğrafı

OnFinality2 ay önce

The multi-agent architecture section is the real meat—curious how they handle state sharing between agents without turning it into a debugging nightmare.

Andreas Markussen profil fotoğrafı

Andreas Markussen2 ay önce

The real video is more than two hours.

Thomas profil fotoğrafı

Thomas2 ay önce

@grok when was this course released?

AI Mastery Guide profil fotoğrafı

AI Mastery Guide2 ay önce

Free course from Andrew Ng again

Kira profil fotoğrafı

Kira2 ay önce

andrew ng is one of the smartest people in ai

YuML AI profil fotoğrafı

YuML AI2 ay önce

@grok when was this lecture ?

Modelplane profil fotoğrafı

Modelplane2 ay önce

The multi-agent architecture section is the real meat—curious how they handle shared state between agents without it becoming a bottleneck.

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IBM just released a 1-hour course on building agentic knowledge graphs from scratch: • 00:00 - Introduction to knowledge graphs • 05:35 - Building your first agentic graph • 19:59 - Agentic memory powered by graphs • 30:39 - Graphs for multi-agent orchestration This 1-hour watch will replace 10 paid courses on agentic engineering. Watch it today, then learn how to become a knowledge graph engineer in the article below.

IBM just released a 1-hour course on building agentic knowledge graphs from scratch: • 00:00 - Introduction to knowledge graphs • 05:35 - Building your first agentic graph • 19:59 - Agentic memory powered by graphs • 30:39 - Graphs for multi-agent orchestration This 1-hour watch will replace 10 paid courses on agentic engineering. Watch it today, then learn how to become a knowledge graph engineer in the article below.

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Google just released a 1-hour course on building agentic knowledge Graphs from scratch: • 00:00 - Introduction to AI agents • 08:09 - Foundations of multi-agent systems • 13:25 - Introduction to Graph engineering • 23:27 - Environment setup for agentic Graphs • 47:43 - Building Graph RAG agents • 1:25:14 - Agent memory bank with graphs Worth more than 10 articles on loop engineering. Watch it today, then read how to become a graph engineer in the article below.

Google just released a 1-hour course on building agentic knowledge Graphs from scratch: • 00:00 - Introduction to AI agents • 08:09 - Foundations of multi-agent systems • 13:25 - Introduction to Graph engineering • 23:27 - Environment setup for agentic Graphs • 47:43 - Building Graph RAG agents • 1:25:14 - Agent memory bank with graphs Worth more than 10 articles on loop engineering. Watch it today, then read how to become a graph engineer in the article below.

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Anthropic engineer just released a 2-hour workshop on "Graph Engineering" for agentic systems: “80% of our engineers are using self-improving loops. Now everyone is building agentic graphs.” • 00:00 - Introduction to RAG & Graphs • 06:39 - Core of "Graph Engineering" (state, nodes) • 14:29 - 3 feedback loops of Graph agents • 23:06 - Agent evaluation with Graphs • 36:29 - Agent cycles in graphs • 1:15:22 - Agentic RAG & agent context • 1:41:20 - Evaluation datasets based on Graphs This 2-hour workshop will replace 10 paid courses on agentic engineering. Watch it today, then learn how to become a Graph Engineer in the article below.

Anthropic engineer just released a 2-hour workshop on "Graph Engineering" for agentic systems: “80% of our engineers are using self-improving loops. Now everyone is building agentic graphs.” • 00:00 - Introduction to RAG & Graphs • 06:39 - Core of "Graph Engineering" (state, nodes) • 14:29 - 3 feedback loops of Graph agents • 23:06 - Agent evaluation with Graphs • 36:29 - Agent cycles in graphs • 1:15:22 - Agentic RAG & agent context • 1:41:20 - Evaluation datasets based on Graphs This 2-hour workshop will replace 10 paid courses on agentic engineering. Watch it today, then learn how to become a Graph Engineer in the article below.

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IBM just dropped a 100% free 1-hour course on mastering Graph Engineering from scratch. this is the clearest breakdown of graph memory and multi-agent orchestration you'll find anywhere : • 00:00 - Introduction to knowledge graphs • 05:35 - Building your first agentic graph • 19:59 - Agentic memory powered by graphs • 30:39 - Graphs for multi-agent orchestration it replaces 10 paid courses on agentic engineering. watch it today, then read the article below on how to become a knowledge graph engineer ↓

IBM just dropped a 100% free 1-hour course on mastering Graph Engineering from scratch. this is the clearest breakdown of graph memory and multi-agent orchestration you'll find anywhere : • 00:00 - Introduction to knowledge graphs • 05:35 - Building your first agentic graph • 19:59 - Agentic memory powered by graphs • 30:39 - Graphs for multi-agent orchestration it replaces 10 paid courses on agentic engineering. watch it today, then read the article below on how to become a knowledge graph engineer ↓

Avid

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Still the best hour on graph engineering ever recorded, Andrew Ng breaking down how to build agentic knowledge graphs from scratch: 00:00 - what agentic knowledge graphs actually are 03:05 - building a graph from scratch 13:58 - the architecture behind multi-agent systems 22:57 - building a real one with Google ADK 01:06:02 - why graphs are the future of AI agents I've seen $500 courses that teach less. Watch it, then take it further with my step-by-step guide on graph engineering below.

Still the best hour on graph engineering ever recorded, Andrew Ng breaking down how to build agentic knowledge graphs from scratch: 00:00 - what agentic knowledge graphs actually are 03:05 - building a graph from scratch 13:58 - the architecture behind multi-agent systems 22:57 - building a real one with Google ADK 01:06:02 - why graphs are the future of AI agents I've seen $500 courses that teach less. Watch it, then take it further with my step-by-step guide on graph engineering below.

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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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Google Engineers just showed how their AI engineers are building Context Graphs from 0% to 100%: 10% → 4:01 - how to build a Context Graph 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 54-minute Google workshop, and it’s one of the clearest hands-on examples of the shift from. Watch it today, then read the full Context Graphs Playbook below.

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