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Andrew Ng just released a 1-hour course on building Agentic Knowledge Graphs from scratch. 00:00 — Introduction to agentic knowledge graphs 03:07 — Building agentic graphs 14:00 — Multi-agent system architecture 23:00 — Implementing agentic graphs with Google ADK 1:06:03 — Why knowledge graphs matter for the future of...

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Ryan Carter

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23,606 Aufrufe • vor 1 Tag •via X (Twitter)

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34 Kommentare

Profilbild von Max
Maxvor 1 Tag

Really nice update. Looking forward to more!

Profilbild von Maxwell Orion
Maxwell Orionvor 1 Tag

Hugg list

Profilbild von Mr. Tach
Mr. Tachvor 1 Tag

This’s awesome

Profilbild von David Marco
David Marcovor 1 Tag

Awesome share

Profilbild von Muhammed abdullahi
Muhammed abdullahivor 1 Tag

I can't wait to become ML/AI Engineer

Profilbild von Liam | AI Tools & News
Liam | AI Tools & Newsvor 1 Tag

Andrew Ng keeps dropping free courses while everyone else sells AI masterclasses.

Profilbild von HarriStack
HarriStackvor 1 Tag

The real upgrade isn’t a bigger model, it’s a smarter architecture connecting agents.

Profilbild von Jacob Young | AI
Jacob Young | AIvor 1 Tag

great share

Profilbild von AI Prompt & Workflow Lab
AI Prompt & Workflow Labvor 1 Tag

Graphs are what turn agents from goldfish into systems. Same models, actual continuity.

Profilbild von Rock Jones
Rock Jonesvor 1 Tag

Great share

Profilbild von Lyra Irish
Lyra Irishvor 1 Tag

Great

Profilbild von Ai With Piyas
Ai With Piyasvor 1 Tag

Impressive post

Profilbild von Nihan
Nihanvor 1 Tag

Love this

Profilbild von UDAYKIRAN CHENNA
UDAYKIRAN CHENNAvor 18 Stunden

Knowledge graphs + agents is a sleeper combo. RAG on vibes only takes you so far, giving agents real structure to reason over is where it gets spicy. Weekend sorted 🍿

Profilbild von Spencer
Spencervor 1 Tag

Cool tool

Profilbild von RAZA | AI EXPLORER
RAZA | AI EXPLORERvor 1 Tag

The future of AI is not just smarter agents, but how we connect them. Architecture is the real game changer.

Profilbild von Jing Wang
Jing Wangvor 20 Stunden

this is not the latest course, man. deeplearning ai released it on July

Profilbild von Onil Coder
Onil Codervor 1 Tag

Well post

Profilbild von The Knowledge Jar
The Knowledge Jarvor 21 Stunden

Thank you for the share

Profilbild von Regaltos AI
Regaltos AIvor 1 Tag

Nice objervasion

Profilbild von Vinay Bharambe
Vinay Bharambevor 1 Tag

Wow really amezing Share

Profilbild von Subhan Qureshi
Subhan Qureshivor 1 Tag

The true advancement doesn’t lie in a larger model, but rather in a more intelligent architecture that connects different agents.

Profilbild von Brooks Whale X 🐋
Brooks Whale X 🐋vor 1 Tag

Well share

Profilbild von ЯЕSТА FАJЯI 🇮🇩
ЯЕSТА FАJЯI 🇮🇩vor 16 Stunden

it's so great

Profilbild von Pori
Porivor 1 Tag

Sound intriguing

Profilbild von Elise Tech Ai
Elise Tech Aivor 1 Tag

Great resource, the shift from prompts to graphs is such an important insight

Profilbild von Mostofa |AI Tools & News
Mostofa |AI Tools & Newsvor 1 Tag

excellent

Profilbild von Charlie
Charlievor 1 Tag

Great

Profilbild von shamim Reza
shamim Rezavor 1 Tag

Great share

Profilbild von Luqman Ali
Luqman Alivor 1 Tag

This is truly amazing. Very underrated. Thanks for sharing it..

Profilbild von Tips Excel | AI Productivity
Tips Excel | AI Productivityvor 17 Stunden

it's so great

Profilbild von Zylen Tach
Zylen Tachvor 1 Tag

Nice

Profilbild von Evia AI
Evia AIvor 1 Tag

Excellent roadmap for building smarter multi-agent AI systems

Profilbild von Alice The Ai Expert
Alice The Ai Expertvor 1 Tag

Essential watch graph engineering is the future of truly capable AI systems!

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Andrew Ng just released a 1-hour course on building agentic knowledge 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 Graphsare the future of agentic AI 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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OpenAI senior engineer just released a 1-hour course on building agentic systems with Codex from scratch: • 00:36 - deep dive into Codex: agents, subagents • 11:34 - Codex agentic prompting patterns • 20:06 - long running Codex agents with /goal • 30:03 - building skills for Codex agents • 41:28 - self-improving loops with /automations this 1-hour workshop by the OpenAI team will replace a $500 AI engineering course watch today, then read how to build self-improving agentic systems with loops & graphs in the article 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 ↓

codila

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Ex-Google engineer just compressed the shift from AI agents to "graphs" and "loops" into one 2h47m lecture: • 00:00 - understanding the different layers of AI memory • 30:00 - moving from simple LLM calls to AI agents • 50:00 - why agent systems are becoming a graph engineering problem • 1:12:00 - connecting context, tools and agent state • 1:24:00 - building a minimal agent harness from scratch • 1:46:00 - breaking down the architecture behind Hermes Agent • 2:08:00 - turning agent concepts into working systems 167-minute deep dive, and one of the clearest ways to understand how AI engineering is moving beyond prompts The progression: Prompt → Context → Memory → Agent → Loop → Graph → Agent Harness Watch it today, then read the full roadmap below
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Ex-Google engineer just compressed the shift from AI agents to "graphs" and "loops" into one 2h47m lecture: • 00:00 - understanding the different layers of AI memory • 30:00 - moving from simple LLM calls to AI agents • 50:00 - why agent systems are becoming a graph engineering problem • 1:12:00 - connecting context, tools and agent state • 1:24:00 - building a minimal agent harness from scratch • 1:46:00 - breaking down the architecture behind Hermes Agent • 2:08:00 - turning agent concepts into working systems 167-minute deep dive, and one of the clearest ways to understand how AI engineering is moving beyond prompts The progression: Prompt → Context → Memory → Agent → Loop → Graph → Agent Harness Watch it today, then read the full roadmap below

Morlex

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Google just released free 2-hour course on Context Graph engineering: 1 prompt → 300 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 Worth more than 10 paid cources on Context Graphs. Watch it today, then read how to become a graph engineer in the article below.
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