Princy Badjatya

[Srishti @srishticodes]

Stanford University is giving out millions of dollars to the public.
Yes, millions.
So what’s the catch?

You have to learn AI and actually use it to solve real problems.

This is not random content.
This is Stanford’s actual learning path from foundations to frontier models.

Stanford AI Learning Path
Artificial Intelligence: Principles & Techniques
Search, logic, planning, intelligent agents
https://t.co/jvCUfYJ7mK

Machine Learning (Andrew Ng’s course at Stanford)
The math and intuition behind ML algorithms
https://t.co/XDH8JvTVXD

Deep Learning
Neural networks, backpropagation, practical systems
https://t.co/xIN8ttT5Fy

NLP with Deep Learning
How language models work from vectors to transformers
https://t.co/VwckdWO44u

Language Modeling From Scratch
Build language models step by step
https://t.co/VwckdWO44u

Transformers and Large Language Models
Modern architectures and scaling laws
https://t.co/B2hHMGXiLx

Deep Generative Models
Create text, images, audio systems
https://t.co/OnC82Jx2cA

Why this matters

Most people use AI.
Some build with it.
Very few understand it:

• how models learn
• where they fail
• what scales
• what breaks
That layer of understanding is where real leverage comes from.

[Princy Badjatya @theCuriousOne06]

Windows: “This program is already installed.”
Also Windows: program doesn’t exist.

Microsoft’s Installer & Uninstaller Troubleshooter fixed broken installs, stuck uninstalls, and leftover junk in 2 minutes.

10/10 tool that way more people should know about.

[Princy Badjatya @theCuriousOne06]

The gap between where you are and where you want to be is called work.

It's not magic, it's not luck, it's not talent, it's work.
Boring, repetitive, uncomfortable work done consistently over time.
#reminder

[Princy Badjatya @theCuriousOne06]

Most of us learn engineering in fragments.
A term here. A tool there.
Things work—but we’re often unsure why they work.
I want to change how I learn and document it publicly.
So instead of waiting for clarity to come later, I’ve decided to build it myself—slowly and honestly.