Stanford just released their full LLM curriculum on YouTube.

Free. No waitlist.

Most AI courses teach you to use tools.
This one teaches you how they actually work.

Nine lectures.
Deep technical.
Built for people who want to build, not just prompt.

This isn’t a crash course.
It’s the real thing.

📌 Stanford’s Full LLM Course… All 9 Lectures:

Lecture 1 – Transformer
🔗 https://lnkd.in/d3qR2nSR

Lecture 2 – Transformer-Based Models & Tricks
🔗 https://lnkd.in/drtaDTCV

Lecture 3 – Transformers & Large Language Models
🔗 https://lnkd.in/dNxeGz8e

Lecture 4 – LLM Training
🔗 https://lnkd.in/dK-cPvSX

Lecture 5 – LLM Tuning
🔗 https://lnkd.in/dUzx_-rg

Lecture 6 – LLM Reasoning
🔗 https://lnkd.in/dT2xuAWf

Lecture 7 – Agentic LLMs
🔗 https://lnkd.in/dynNqUEh

Lecture 8 – LLM Evaluation
🔗 https://lnkd.in/dMgt3c3r

Lecture 9 – Recap & Current Trends
🔗 https://lnkd.in/dF9zagJs

Here’s exactly how I’m working through it:

One lecture per week.
Hit pause and think.
Write notes as if I’m teaching it back.
Then ship something small with what I learned.

Broken code teaches as much as working code.
That’s the whole philosophy.

If you’re learning AI, building with large language models, or leading a team that is….

This is the curriculum I’d point you to before anything else.

Which of these 9 lectures would you prioritize first and why?

Save this before it gets buried.

♻️ Repost to help your network cut through the AI noise.
🔔 Follow Javeriya Ahsan for practical AI + business insights.

If you want a solid foundation in AI, this 9-part Stanford University series is still one the gold standards.

Just the core fundamentals explained by the people who teach this for a living.

Lecture 1 – Transformer:
→ https://lnkd.in/efK6ENft

Lecture 2 – Transformer-Based Models & Tricks:
→ https://lnkd.in/ebuQyAET

Lecture 3 – Transformers & Large Language Models:
→ https://lnkd.in/eYiazeja

Lecture 4 – LLM Training:
→ https://lnkd.in/eYiazeja

Lecture 5 – LLM tuning:
→ https://lnkd.in/ecdzHDfX

Lecture 6 – LLM Reasoning:
→ https://lnkd.in/eEecwZ9h

Lecture 7 – Agentic LLMs:
→ https://lnkd.in/eg6-NgYB

Lecture 8 – LLM Evaluation:
→ https://lnkd.in/e7jg8ruw

Lecture 9 – Recap & Current Trends:
→ https://lnkd.in/efK6ENft

Master the basics, and the rest gets easy.

CLAUDE

 

No $500 course needed.

No “guru” required.

Just real skills — straight from Anthropic.

Here’s the full list:

👇

1. Claude 101
https://lnkd.in/gCPUQsRg

2. AI Fluency: Frameworks & Foundations
https://lnkd.in/gS6ceZ_M

3. Introduction to Agent Skills
https://lnkd.in/g_wWNiEb

4. Building with the Claude API
https://lnkd.in/gDr5K_B4

5. Claude Code in Action
https://lnkd.in/g9wWZbK9

6. Introduction to Model Context Protocol
https://lnkd.in/gAj5HqMY

7. MCP: Advanced Topics
https://lnkd.in/g3eDwBFY

8. AI Fluency for Students
https://lnkd.in/gKKujHGG

9. AI Fluency for Educators
https://lnkd.in/gVcKnuhA

10. Teaching AI Fluency
https://lnkd.in/g9P4gJFM

11. AI Fluency for Nonprofits
https://lnkd.in/gpsm_BVf

12. Claude with Amazon Bedrock
https://lnkd.in/gbfPjSFt

13. Claude with Google Vertex AI
https://lnkd.in/gvVgB4Ub

—

You now master Claude within 5 minutes.

But if you have 50 more minutes, read in this order:

Claude 101 full article: how-to-claude.ai.
Claude Code: claudecode.free.
Claude Skills: claude-skills.free.
Claude for your team: how-claude.team.
Set up Claude Cowork: claude-co.work.
Claude Cowork + Project: https://lnkd.in/d8BHqTvV.
Claude interactive charts: https://lnkd.in/gwQi23zx.

You don’t need a PhD to learn AI.

These 21 LinkedIn creators make it easy for you:

1. Ruben Hassid: Explains AI in simple, easy steps.
2. Anisha Jain: Shares ways to create content (+AI).
3. Axelle Malek: Clearly explains AI tools.
4. Chip Huyen: Teaches AI through storytelling.
5. Olivia Moore : Covers AI from the VC side.
6. Alex Patrascu : Produces Hollywood-level AI content.
7. Grant Lee: Building Gamma to make AI slides.
8. Maria Zhanette Yap Zhanette: Curates what’s worth following.
9. Tatiana Tsiguleva: Posts Midjourney tips & prompts.
10. Matthieu Lorrain: Creative Lead, Google DeepMind.
11. Anton Osika: CEO of Lovable, last software.
12. Wyndo Mitra Buwana: Shares practical, no-fluff AI systems.
13. Tanay Kothari: Building Wispr, voice-to-text AI.
14. Guillermo Rauch: Building the future of web + AI.
15. Sebastien Jefferies 🧩: Helps creators master AI video tools.
16. David Blagojevic: How to make hooking videos.
17. Rory Flynn: Makes AI fun and easy to get.
18. Felix Haas: Shares about modern design + AI.
19. Simon Meyer: Creates cinematic ads.
20. Greg Isenberg – Builds internet-first companies.
21. PJ Accetturo: Makes viral AI ads.

_______________________________________________________________________________________________________

🚨BREAKING: MIT just killed the AI course industry. (Bookmark this 👇)

Most AI courses are overpriced

People feel behind on AI.
They buy expensive courses.
They still don’t know where to start.

MIT removed the confusion.

Here’s what they released for free.

1️⃣ AI 101
Learn AI from absolute zero.
Perfect for true beginners.
https://lnkd.in/dtJ47_Nk

2️⃣ Introduction to Deep Learning
Neural networks explained clearly.
Strong technical foundation.
https://lnkd.in/dV652vnD

3️⃣ Artificial Intelligence
How machines reason and learn.
Classic AI problem-solving.
https://lnkd.in/d8KJgztk

4️⃣ Introduction to Machine Learning
Core ML algorithms simplified.
Beginner-friendly approach.
https://lnkd.in/dCYxsqui

5️⃣ How to AI (Almost) Anything
Apply AI to art and music.
Hands-on creative projects.
https://lnkd.in/dFwdMnvD

6️⃣ Understanding the World Through Data
Decode reality with data.
ML meets real-world problems.
https://lnkd.in/d7V8anyu

7️⃣ Artificial Intelligence in K-12 Education
Foundations of AI explained.
Where education is heading.
https://lnkd.in/drhYa8Nj

8️⃣ Introduction to Algorithms
Learn to think efficiently.
Critical for serious AI work.
https://lnkd.in/dYGsgRPt

9️⃣ Foundation Models and Generative AI
Modern AI systems explained.
Yes, the tech behind ChatGPT.
https://lnkd.in/dFMym7EW

The best AI education is free.
The best source is MIT.
The only cost is effort.

➕ Follow Ghadeer for more insights
♻️ Repost to help others in your network
📩 Save for later

HASSAN AGAIN:

Stop scrolling. Top AI courses are now free.

If you want to learn AI in 2026
you do not need a big budget.

You just need the right courses
from the right companies.

Here are 9 free AI courses
from Google, Microsoft, Amazon, IBM and more.
Most include certificates you can add to LinkedIn.

1️⃣ IBM AI for Everyone: Master the Basics
Intro to core AI, ethics, and hands-on use of Gen AI tools.
https://lnkd.in/eSNbPbwp

2️⃣ Elements of AI by University of Helsinki
Learn what AI is, what it can (and can’t) do, and how to build with it
https://lnkd.in/ew8PHNYy

3️⃣ AI & Career Empowerment by University of Maryland
Learn how AI is reshaping industries and creating new career path
https://lnkd.in/eh_VFsxE

4️⃣ HP – AI for Business Professionals
Course on marketing, operations, and prompt engineering use cases.
https://lnkd.in/evgfGRp2

5️⃣ Google – AI Essentials by Google
Learn to use AI tools to work faster, think smarter, and create better
https://lnkd.in/eUhVCWM2

6️⃣ Amazon – Foundations of Prompt Engineering
Learn to design effective, safe prompts using different techniques.
https://lnkd.in/e_bUsJ3P

7️⃣ Anthropic – AI Fluency: Framework & Foundations
Learn how to work responsibly and creatively with AI
https://lnkd.in/eaSqRpNq

8️⃣ Microsoft – Introduction to Generative AI
Learn the basics of Gen AI, how it works, and how to create content
https://lnkd.in/e5aD8cmA
{𝐑𝐞𝐦𝐨𝐯𝐞 𝐄𝐯𝐞𝐫𝐲 𝐒𝐩𝐚𝐜𝐞 𝐚𝐟𝐭𝐞𝐫 . (𝐃𝐨𝐭)}

9️⃣ LinkedIn Learning – Everyday AI Concepts
Learn and understand key AI concepts
https://lnkd.in/eVrSdFZT

Pick one course today.
Save this list and work through the rest this year.

——–

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HASSAN:

Stop paying for AI courses you’ll never finish.

You only need these 17 (free) guides to master AI:

Set up your AI: https://lnkd.in/gygfpVyg
Claude basics: https://lnkd.in/dVDent-3
Generate headshot: https://lnkd.in/dnpksiyn
Use Claude in Excel: https://lnkd.in/gcGWk35x
Gemini Nano-Banana: https://lnkd.in/dgsG5dcF
Quit ChatGPT in 2026: https://lnkd.in/gdeEFqB4
Don’t be slow (with AI): https://lnkd.in/grsGmrak
AI needs more humans: https://lnkd.in/g8gJg7iU
AI detection tool scam: https://lnkd.in/gB66hGJp
Learn anything, with AI: https://lnkd.in/ddmEyKsn
Stop prompting, do this: https://lnkd.in/erHRYTmt
Transfer yourself in a file: https://lnkd.in/eF56s4i8
Claude to write like you: https://lnkd.in/d_YDEBWu
Grow to 10,000 followers: https://lnkd.in/geXEFxSW
How to train AI on YouTube: https://lnkd.in/dETcRzku
Create infographic with AI: https://lnkd.in/dHFz8wY5
Talk to computer, using AI: https://lnkd.in/dQb88dcY
___

FREE COURSES AT HARVARD WITH DIPLOMA

https://pll.harvard.edu/catalog/free?scholarshipgoat&fbclid=IwY2xjawQFOOZleHRuA2FlbQIxMABicmlkETJYd2N4OUU5c3NFakNBM1Voc3J0YwZhcHBfaWQQMjIyMDM5MTc4ODIwMDg5MgABHmppbRAaVgWjSF4H7ksmZxfLex9KDBItzFBfNI6OhBsggRn9VkBYwYlnxviG_aem_twglnbGLH3vQ2r1slJqyrA

more from RUBEN:

✅ Set up your AI
https://lnkd.in/gygfpVyg

✅ Generate headshot
https://lnkd.in/dnpksiyn

✅ AI needs more humans
https://lnkd.in/g8gJg7iU

✅ Gemini Nano-Banana
https://lnkd.in/dgsG5dcF

✅ Claude to write better
https://lnkd.in/ggTqmvcD

✅ AI detection tool scam
https://lnkd.in/gB66hGJp

✅ Learn anything with AI
https://lnkd.in/ddmEyKsn

✅ Transfer yourself in a file
https://lnkd.in/eF56s4i8

✅ Claude to write like you
https://lnkd.in/d_YDEBWu

✅ ChatGPT fundamentals
https://lnkd.in/dXbGPnTc

✅ Grow to 10,000 followers
https://lnkd.in/geXEFxSW

✅ How to train AI on YouTube
https://lnkd.in/dETcRzku

✅ Create infographic with AI
https://lnkd.in/dHFz8wY5

✅ Talk to computer using AI
https://lnkd.in/dQb88dcY

✅ How to use Claude in Excel
https://lnkd.in/gcGWk35x

FROM RUBEN HASSAD: Forget Coursera. Forget Udemy. Forget paid guides.

MIT just dropped 11 (free) guides:

Get all official guides here: https://lnkd.in/eu2mj4aS

1. AI 101
Intro to AI concepts. Perfect for absolute beginners.
Link: https://lnkd.in/gxvDzRZe

2. Introduction to Deep Learning
Bootcamp on deep learning fundamentals.
Link: https://lnkd.in/g-ftJgtT

3. Artificial Intelligence
Problem-solving, knowledge, learning.
Link: https://lnkd.in/guGK_hfx

4. Introduction to Machine Learning
Beginner-friendly ML principles, algorithms.
Link: https://lnkd.in/gGEj-YXC

5. How to AI (Almost) Anything
Apply AI to music, art, senses.
Link: https://lnkd.in/gT85k3TS

6. Understanding the World Through Data
Explore data analysis & ML to decode real-world.
Link: https://lnkd.in/gysCTfhx

7. Artificial Intelligence in K-12 Education
Foundations of AI tech and its possibilities.
Link: https://lnkd.in/gEknrf5F

8. Introduction to Algorithms
Key prerequisite for efficient AI work.
Link: https://lnkd.in/gpz-9qsf

9. Foundation Models and Generative AI
Overview of modern AI (like ChatGPT)
Link: https://lnkd.in/gbcktZUr

___

If I have only 5 minutes to learn AI. I’d start here:

✦ Start with AI: https://lnkd.in/dFfS3HxJ
✦ Set up your ChatGPT: https://lnkd.in/dqfRVBpC
✦ Gemini Nano-Banana: https://lnkd.in/dgsG5dcF
✦ Claude to write better: https://lnkd.in/ggTqmvcD
✦ AI detection tool scam: https://lnkd.in/gB66hGJp
✦ Learn anything, with AI: https://lnkd.in/ddmEyKsn
✦ ChatGPT fundamentals: https://lnkd.in/dXbGPnTc
✦ 0 to 10,000 LI followers: https://lnkd.in/geXEFxSW
✦ Create infographic: https://lnkd.in/dHFz8wY5
✦ Gemini Context guide: https://lnkd.in/dNvrQBBd
✦ Midjourney Prompting: https://lnkd.in/dqWBhEYW
✦ AI need more human: https://lnkd.in/g8gJg7iU
✦ Professional headshot: https://lnkd.in/dnpksiyn
✦ Talk to laptop with AI: https://lnkd.in/dQb88dcY
___

Maor Farid: Mechanical Engineer in AI: How to approach AI

Andrew Ng’s Introduction to Machine Learning on Coursera is a fantastic place to start. Don’t just watch the lectures – do the assignments.
That’s where understanding really starts to click.

(2) Dive deeper into neural networks.
Stanford’s CS231n (by Fei-Fei Li and her team) is excellent for understanding how modern AI systems see, decide, and learn.
You don’t need to understand every equation – focus on the logic behind it.

(3) Get hands-on.
Open a GitHub repo and create a Kaggle account.
Pick a small project that excites you on Kaggle- maybe design optimization, material selection, or machine parts classification using out-of-the-box computer vision models – and just start experimenting. When you are done- post it on your GitHub repository and get feedback from others.
That’s how curiosity turns into skill.

(4) Don’t go it alone- join an AI community in your field. Connect from other professionals in your domain, discover tools, tips, and tricks, and participate in meetups and webinars with other professionals in your domain. For instance, lawyers might benefit from the Harvey.ai community, while mechanical engineers can explore Leo AI and Mechanical Intelligence | AI Community for Mechanical Engineers – a space that allows MechEs to share insights, tools, jokes, and join monthly webinars featuring industry legends like former SolidWorks and Onshape CEOs John McEleney, Jon Hirschtick, Bertrand Sicot, and more.

© 2026 Neurosurgical.TV. All rights reserved. DeepRelevance™ and CR Clinical Relevance™ are proprietary educational frameworks of Neurosurgical.TV.

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