REAL

Holds up: all ten AI engineering videos exist on YouTube from the named creators and are free to watch, though 'know more than 90% of people' is hype and a few lessons are already dated

Facebook · Oct 2026

The claim'I want to get into AI engineering. 10 videos = 10 skills. Watch these and you will know more than 90% people out there.' The list: Python for AI (Dave Ebbelaar), building micrograd (Andrej Karpathy), FastAPI (Corey Schafer), RAG with LangChain (Krish Naik), LangGraph (freeCodeCamp), AI Agents in 38 Minutes (Marina Wyss), MCP explained (Codebasics), Stanford CS229 Building LLMs (Stanford Online), LLM fine-tuning (freeCodeCamp), Agentic RAG and LLMOps (Jam with AI).

The list is legitimate. Every video shown in the reel is a real YouTube upload from the creator named, and the screenshots carry the channel handles and view counts: Dave Ebbelaar's Python for AI full beginner course (about 1.1M views), Andrej Karpathy's spelled-out intro to neural networks and backpropagation, building micrograd (3.8M views), Corey Schafer's FastAPI tutorial part 1, Krish Naik's complete RAG crash course with LangChain, freeCodeCamp's LangGraph course for beginners, Marina Wyss's AI Agents in 38 Minutes, Codebasics' Model Context Protocol explainer, Stanford Online's CS229 lecture on building large language models by Yann Dubois, freeCodeCamp's LLM fine-tuning course, and Jam with AI's agentic RAG and LLMOps video. All are free to watch. Some creators sell extras: Ebbelaar's Datalumina offers a paid resource hub and community, and Jam with AI runs a Substack course series. The poster sells nothing; it is a save-this engagement reel, and the caption's own disclaimer admits some videos are older. Two cautions. 'Watch these and you will know more than 90% of people' is a hook, not a measurement; watching ten videos does not make anyone an AI engineer, which the caption itself concedes. And framework videos age fast: LangChain, LangGraph and MCP have changed since the one-year-old uploads, so pair them with current docs.

What holds up

Reel read frame by frame: each slide shows a YouTube result card with title, channel handle and stats (@daveebbelaar, @coreyms, @krishnaik06, @freecodecamp, @MarinaWyssAI, @codebasics, @AndrejKarpathy, @stanfordonline, @jam-with-ai).
Web search confirmed Corey Schafer's 'Python FastAPI Tutorial (Part 1): Getting Started', Marina Wyss's 'AI Agents in 38 Minutes - Complete Course from Beginner to Pro', and the Stanford CS229 'Building Large Language Models (LLMs)' lecture by Yann Dubois (about 1 hour 44 minutes).
Web search confirmed Dave Ebbelaar's 'Python for AI - Full Beginner Course' with a paid Datalumina resource hub sold alongside, and Jam with AI's production RAG series with Langfuse observability.
Caption and on-screen numbering differ (Neural Networks is #2 in the caption, #7 on screen; the screen shows '5. AI agent' twice), a sloppy edit but no wrong resource.

What doesn’t

'Know more than 90% of people out there' is unmeasured hype; the caption itself says watching alone will not make you an AI engineer.
LangChain, LangGraph and MCP videos from about a year ago may use APIs that have since changed; check current docs while building.
Free videos sit in front of paid upsells from some creators (Datalumina hub, Jam with AI Substack); none are required.

The catch

A solid, free starter syllabus from credible teachers, sold with an inflated promise. The value comes from building one small project per video, not from finishing the playlist.

How to actually do it

Watch in dependency order: Python for AI, Karpathy's micrograd, FastAPI, then RAG, LangGraph, agents, MCP, the Stanford LLM lecture, fine-tuning and LLMOps.
After each video, ship one tiny project to GitHub (a FastAPI endpoint, a RAG app over your own PDFs, an MCP server for one tool) instead of just taking notes.
Before copying framework code, open the current LangChain, LangGraph and MCP docs and fix anything deprecated.

All ten resources were matched to real YouTube uploads by the named creators using the on-screen result cards plus web search on Oct 8, 2026, and all are free. The only overreach is the '90% of people' hook and the age of a few framework tutorials.

Confidence: High
Posted by: an AI engineering career creator on Facebook (reel showed about 6.1k views); reel sent to Buddy Tue Oct 6, 2026, ~5:21 PM

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