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I keep telling my team that coding isn't needed to use AI in workflows. But, they do need the 101 basic AI fundamentals. I send them this 1-hour Stanford lecture from an AI program designer and principal ML researcher at GitHub. He walks through everything I've seen actually move... show more

adriane schwager

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222,660 views • 5 months ago •via X (Twitter)

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He is 19 years old and already teaching an AI lecture at Stanford: 00:05 - 10% of people use AI - the other 90% work for them 08:34 - Graph Engineering is what you actually need 19:47 - Claude 10x faster and cheaper without losing quality After this lecture I understood why I was still in that 90% and never went back. Save it and watch - read the article below to join the 10%.

He is 19 years old and already teaching an AI lecture at Stanford: 00:05 - 10% of people use AI - the other 90% work for them 08:34 - Graph Engineering is what you actually need 19:47 - Claude 10x faster and cheaper without losing quality After this lecture I understood why I was still in that 90% and never went back. Save it and watch - read the article below to join the 10%.

Noisy

122,933 views • 2 months ago

CEOs are wasting millions on AI. Here's why. 💸 CEOs are pouring millions into AI, but simply swapping a human for an AI agent in the middle of a broken process won't change your business. True AI transformation requires an end-to-end workflow redesign. Don't just use AI to make the old way faster—use it to build a completely new experience. Ready to build AI workflows that actually move the needle? DeepLearning.AI offers free short courses to help you master agentic workflows and the latest AI tools. Start learning today: Subscribe to The Batch newsletter for weekly AI insights:

CEOs are wasting millions on AI. Here's why. 💸 CEOs are pouring millions into AI, but simply swapping a human for an AI agent in the middle of a broken process won't change your business. True AI transformation requires an end-to-end workflow redesign. Don't just use AI to make the old way faster—use it to build a completely new experience. Ready to build AI workflows that actually move the needle? DeepLearning.AI offers free short courses to help you master agentic workflows and the latest AI tools. Start learning today: Subscribe to The Batch newsletter for weekly AI insights:

DeepLearning.AI

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instead of watching 2 hours of Netflix tonight, watch this Stanford lecture given by Anthropic engineers it's the clearest explanation I've seen of how AI agents actually work useful whether you've never touched AI in your life or have been building with it every day i took the key ideas and turned them into a practical guide, with ready-to-copy prompts watch it, then read the guide below on the easiest way to build your own AI agent team that improves itself over time

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture given by Anthropic engineers it's the clearest explanation I've seen of how AI agents actually work useful whether you've never touched AI in your life or have been building with it every day i took the key ideas and turned them into a practical guide, with ready-to-copy prompts watch it, then read the guide below on the easiest way to build your own AI agent team that improves itself over time

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instead of watching 2 hours of Netflix tonight, watch this Stanford lecture it's the clearest explanation I've seen of how ChatGPT and Claude actually work useful whether you've never touched AI in your life or have been using it every day for the past year i took the key ideas and turned them into a practical guide on how to actually get 100% out of AI you can find it below with ready-to-copy prompts and solutions

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture it's the clearest explanation I've seen of how ChatGPT and Claude actually work useful whether you've never touched AI in your life or have been using it every day for the past year i took the key ideas and turned them into a practical guide on how to actually get 100% out of AI you can find it below with ready-to-copy prompts and solutions

Anatoli Kopadze

3,064,021 views • 1 month ago

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture given by Anthropic engineers it's the clearest explanation I've seen of how AI agents actually work useful whether you've never touched AI in your life or have been building with it every day i took the key ideas and turned them into a practical guide, with ready-to-copy prompts watch it, then read the guide below on the easiest way to build your own AI agent team that improves itself over time

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture given by Anthropic engineers it's the clearest explanation I've seen of how AI agents actually work useful whether you've never touched AI in your life or have been building with it every day i took the key ideas and turned them into a practical guide, with ready-to-copy prompts watch it, then read the guide below on the easiest way to build your own AI agent team that improves itself over time

Anatoli Kopadze

27,515 views • 1 month ago

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture it's the clearest explanation I've seen of how ChatGPT and Claude actually work useful whether you've never touched AI in your life or have been using it every day for the past year i took the key ideas and turned them into a practical guide on how to actually get 100% out of AI you can find it below with ready-to-copy prompts and solutions

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture it's the clearest explanation I've seen of how ChatGPT and Claude actually work useful whether you've never touched AI in your life or have been using it every day for the past year i took the key ideas and turned them into a practical guide on how to actually get 100% out of AI you can find it below with ready-to-copy prompts and solutions

Anatoli Kopadze

37,443 views • 1 month ago

Sure, everyone loves Claude Code but if you ask non-coders: they're all obsessed with Cowork. JJ Englert at tenex is one of them, and he's giving us the power user's guide to getting started with Claude Cowork. In this ep, JJ walks me through: - How to set up Claude Cowork projects (hint: it's just a folder on your computer) - His "brain" file: a doc that tells Claude who he is, how he works, and who he works with, so he never has to re-explain himself - 3 AI agents with different personas that review your work before you share it with real humans My favorite take from this ep: Cowork teaches you the mental models of Claude Code without ever opening a terminal. If you've been stuck in chat mode wondering how to actually get AI to do work for you, this is your episode. ty to our amazing sponsors! 🔀 Tines - Start building intelligent workflows today 🖱️Cursor - The best way to code with AI Full episode:

Sure, everyone loves Claude Code but if you ask non-coders: they're all obsessed with Cowork. JJ Englert at tenex is one of them, and he's giving us the power user's guide to getting started with Claude Cowork. In this ep, JJ walks me through: - How to set up Claude Cowork projects (hint: it's just a folder on your computer) - His "brain" file: a doc that tells Claude who he is, how he works, and who he works with, so he never has to re-explain himself - 3 AI agents with different personas that review your work before you share it with real humans My favorite take from this ep: Cowork teaches you the mental models of Claude Code without ever opening a terminal. If you've been stuck in chat mode wondering how to actually get AI to do work for you, this is your episode. ty to our amazing sponsors! 🔀 Tines - Start building intelligent workflows today 🖱️Cursor - The best way to code with AI Full episode:

claire vo 🖤

50,362 views • 5 months ago

This 1-hour Stanford lecture will teach you how to automate your entire daily work routine with AI better than 99% of "AI automation" content on YouTube No tools to sell you. No fluff. Just the raw science behind how AI agents think, plan, and execute tasks on their own Led by GitHub's Principal ML Researcher and recorded for FREE Most people spend 2-3 hours/day on repetitive work that AI can handle: emails, reports, scheduling, code reviews, data entry, status updates This lecture shows you exactly how the systems behind that automation actually work like reflection, planning, tool use, and decision-making Bookmark it. 1 hour now = hundreds of hours saved later

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Ronin

62,292 views • 5 months ago

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture it's the clearest explanation I've seen of how ChatGPT and Claude actually work useful whether you've never touched AI in your life or have been using it every day for the past year i took the key ideas and turned them into a practical guide on how to actually get 100% out of AI you can find it below with ready-to-copy prompts and solutions

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture it's the clearest explanation I've seen of how ChatGPT and Claude actually work useful whether you've never touched AI in your life or have been using it every day for the past year i took the key ideas and turned them into a practical guide on how to actually get 100% out of AI you can find it below with ready-to-copy prompts and solutions

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I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):

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Matt Dancho (Business Science)

242,084 views • 1 year ago

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I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):

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Latent.Space

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Demis Hassabis: "In the near future, one person who knows AI will outperform an entire startup team" I've watched hundreds of AI talks, this 60-minute Cambridge lecture is the one I wish I had seen a year ago Save this before everyone copies the playbook this is the Nobel Prize winner in Chemistry, CEO of Google DeepMind and the guy who made AI solve biology here's the part that won't leave my head: > the AI you're using today is the dumbest it will ever be > one person with AI agents will replace teams of 10, then 50, then 200 > the winners won't be the smartest. they'll be the ones who built their AI team first > you don't need to hire people anymore. you need to build agents that work together > hiring is about to become optional for most startups right now most people open Claude, ask a question, read the answer, close the tab they think they're using AI, but they're using maybe 5% of it I turned his lecture into a step-by-step guide to build your first app using Claude. Completely FREE full guide in the post below.

Khairallah AL-Awady

42,882 views • 4 months ago

He sleeps 4 hours and spends the other 20 building AI - at a private lecture at Stanford he shared everything he learned over 20 years: 00:00 - engineers know AI only 5% - the other 95% is just money 08:34 - the technology from Meta that will replace all current AI 19:47 - the most important phrase that explains where AI is heading after watching I understood how AI actually works and made my first $10,000 in a month. Save it and watch - then read the article below to unlock the other 95%.

He sleeps 4 hours and spends the other 20 building AI - at a private lecture at Stanford he shared everything he learned over 20 years: 00:00 - engineers know AI only 5% - the other 95% is just money 08:34 - the technology from Meta that will replace all current AI 19:47 - the most important phrase that explains where AI is heading after watching I understood how AI actually works and made my first $10,000 in a month. Save it and watch - then read the article below to unlock the other 95%.

Noisy

45,254 views • 2 months ago

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

659,505 views • 29 days ago

My friend applied to 150 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 helped him to get in. SpaceXAI engineer's 1-hour course on "Coding with AI Agents in 2026". Lauren Tan (Ex-Cursor) shows you exactly how to build AI agents like Grok Bot from scratch. After this course you could turn AI agents into better engineers than humans. I watched it last night. Halfway through, I realized I could break into an AI lab in days, not years. Bookmark this and read the article below.

My friend applied to 150 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 helped him to get in. SpaceXAI engineer's 1-hour course on "Coding with AI Agents in 2026". Lauren Tan (Ex-Cursor) shows you exactly how to build AI agents like Grok Bot from scratch. After this course you could turn AI agents into better engineers than humans. I watched it last night. Halfway through, I realized I could break into an AI lab in days, not years. Bookmark this and read the article below.

Roan

125,056 views • 25 days ago

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A sneak peek of Princess Jane's home world. I know AI is nowhere near to creating perfect movies yet, but this feels like the beginning of something great. Experimenting with AI-generated scripts like this feels like an important first step on the journey towards more human-AI creativity in filmmaking. For those wondering if I use AI to write my scripts, yes and no, I craft the base ideas, then use Anthropic AI to refine and polish it. I have successfully trained Anthropic on my story; it automatically knows and predicts each plot in the story. I do not wish to destroy human creativity but enhance it through AI; I believe a human and AI partnership will transcend anything we have ever seen.

Rufus

1,968,969 views • 3 years ago

My friend makes $850,000/year as an Anthropic AI engineer. No MIT. No Stanford. No PhD. I asked him how he broke into AI from scratch. He sent me a course that was never supposed to get out. A developer teaching to build self-improving AI agents from scratch. You will learn exactly how AI agents like Claude Code and OpenClaw are actually built. You won't find anything better about becoming an AI engineer in 2026 than this video. I watched it last night. Halfway through, I realized I could land a role at a top AI lab in months, not years. Bookmark this and read the article below.

My friend makes $850,000/year as an Anthropic AI engineer. No MIT. No Stanford. No PhD. I asked him how he broke into AI from scratch. He sent me a course that was never supposed to get out. A developer teaching to build self-improving AI agents from scratch. You will learn exactly how AI agents like Claude Code and OpenClaw are actually built. You won't find anything better about becoming an AI engineer in 2026 than this video. I watched it last night. Halfway through, I realized I could land a role at a top AI lab in months, not years. Bookmark this and read the article below.

Roan

70,905 views • 2 months ago

I've made $4.7M with AI. Today, I recorded myself building an entire OpenClaw🦞 business in an hour. You'll learn how to: • Find a winning niche using AI • Build an offer people actually want to pay for • To get your first clients • To use AI to productize and fulfill the entire service • The exact prompts I use to orchestrate all of it After building the #1 Lovable agency. This is the entire playbook behind AI native businesses. The full video is live on YouTube. Comment "Playbook" and I'll DM you the link.

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Jacob Klug

124,541 views • 6 months ago