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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 次观看 • 1 天前 •via X (Twitter)

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34 条评论

Max 的头像
Max1 天前

Really nice update. Looking forward to more!

Maxwell Orion 的头像
Maxwell Orion1 天前

Hugg list

Mr. Tach 的头像
Mr. Tach1 天前

This’s awesome

David Marco 的头像
David Marco1 天前

Awesome share

Muhammed abdullahi 的头像
Muhammed abdullahi1 天前

I can't wait to become ML/AI Engineer

Liam | AI Tools & News 的头像
Liam | AI Tools & News1 天前

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

HarriStack 的头像
HarriStack1 天前

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

Jacob Young | AI 的头像
Jacob Young | AI1 天前

great share

AI Prompt & Workflow Lab 的头像
AI Prompt & Workflow Lab1 天前

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

Rock Jones 的头像
Rock Jones1 天前

Great share

Lyra Irish 的头像
Lyra Irish1 天前

Great

Ai With Piyas 的头像
Ai With Piyas1 天前

Impressive post

Nihan 的头像
Nihan1 天前

Love this

UDAYKIRAN CHENNA 的头像
UDAYKIRAN CHENNA16 小时前

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 🍿

Spencer 的头像
Spencer1 天前

Cool tool

RAZA | AI EXPLORER 的头像
RAZA | AI EXPLORER1 天前

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

Jing Wang 的头像
Jing Wang19 小时前

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

Onil Coder 的头像
Onil Coder1 天前

Well post

The Knowledge Jar 的头像
The Knowledge Jar20 小时前

Thank you for the share

Regaltos AI 的头像
Regaltos AI1 天前

Nice objervasion

Vinay Bharambe 的头像
Vinay Bharambe1 天前

Wow really amezing Share

Subhan Qureshi 的头像
Subhan Qureshi1 天前

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

Brooks Whale X 🐋 的头像
Brooks Whale X 🐋1 天前

Well share

ЯЕSТА FАJЯI 🇮🇩 的头像
ЯЕSТА FАJЯI 🇮🇩15 小时前

it's so great

Pori 的头像
Pori1 天前

Sound intriguing

Elise Tech Ai 的头像
Elise Tech Ai1 天前

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

Mostofa |AI Tools & News 的头像
Mostofa |AI Tools & News1 天前

excellent

Charlie 的头像
Charlie1 天前

Great

shamim Reza 的头像
shamim Reza1 天前

Great share

Luqman Ali 的头像
Luqman Ali1 天前

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

Tips Excel | AI Productivity 的头像
Tips Excel | AI Productivity15 小时前

it's so great

Zylen Tach 的头像
Zylen Tach1 天前

Nice

Evia AI 的头像
Evia AI1 天前

Excellent roadmap for building smarter multi-agent AI systems

Alice The Ai Expert 的头像
Alice The Ai Expert1 天前

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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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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44,889 次观看 • 1 个月前

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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

Codez

61,063 次观看 • 1 个月前

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 ↓
2:03:00

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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468,290 次观看 • 2 个月前

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Anthropic senior engineer just released a 1-hour course on building agentic systems with Claude from scratch: • 00:37 - how Claude Code actually works • 02:29 - building CLAUDE.md and Plan for agents • 25:38 - creating /skills for Claude agents • 45:39 - Claude agents team design patterns • 52:10 - Agents SDK: subagents, loops, graphs this 1-hour workshop will replace 10 paid courses on agentic engineering watch it today, then read how to build self-learning agentic systems with loops & graphs in the article below

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2:47:42

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

51,952 次观看 • 1 个月前

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.
1:59:51

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.

Morty

25,026 次观看 • 1 个月前