Goldmine for AI Engineers! 📌
If you're learning AI, ML, LLMs, or AI agents, don't waste hours jumping between random tutorials.
These are 10 repositories I'd actually keep bookmarked - from Python fundamentals to ML, LLMs, agents, and production AI.
1. Python - 100 Days
jackfrued/Python-100-Days
A 100-day Python learning path covering fundamentals, data analysis, web development, and more.
GitHub:
https://t.co/Qa8o6aixcB…
2. Generative AI for Beginners
microsoft/generative-ai-for-beginners
A practical introduction to building Generative AI applications.
Covers:
• LLM fundamentals
• Prompt engineering
• RAG
• AI agents
• Fine-tuning
• AI application development
GitHub:
https://t.co/Y6kNqZ9ojz…
3. LLMs From Scratch
rasbt/LLMs-from-scratch
Want to understand what's actually happening inside an LLM?
Build one step by step.
Covers:
• Tokenization
• Embeddings
• Attention
• Transformers
• Training
• Fine-tuning
GitHub:
https://t.co/VHKqT5ZEm2…
4. Machine Learning for Beginners
microsoft/ML-For-Beginners
A structured 12-week, 26-lesson curriculum covering classical machine learning.
A good starting point if you want ML fundamentals before jumping into LLMs.
GitHub:
https://t.co/dDoKYxQBJz…
5. OpenAI Cookbook
openai/openai-cookbook
A collection of practical examples and guides for building applications with OpenAI models.
Useful when you want to move from:
Learning → Building
GitHub:
https://t.co/VgkYZkfiWe…
6. Stable Diffusion
CompVis/stable-diffusion
Interested in generative image models?
This repository contains the original Stable Diffusion implementation and research code.
GitHub:
https://t.co/MrjWmauahQ…
7. AI Agents for Beginners
microsoft/ai-agents-for-beginners
A practical course for understanding and building AI agents.
Covers:
• Agentic AI
• RAG
• Agent frameworks
• Tool use
• Multi-agent systems
GitHub:
https://t.co/vtzBxtLiE3…
8. AI for Beginners
microsoft/AI-For-Beginners
A structured 12-week, 24-lesson introduction to AI.
Covers:
• Neural networks
• Computer vision
• NLP
• Deep learning
• Classical AI
GitHub:
https://t.co/JwHlls8Mwk…
9. LLM App
pathwaycom/llm-app
Focused on building practical LLM applications.
Explore:
• RAG
• AI pipelines
• Enterprise search
• Real-time data
• Vector search
GitHub:
https://t.co/dfYZQYr4f1…
10. Segment Anything
facebookresearch/segment-anything
A foundation model for promptable image segmentation.
Worth exploring if you're interested in computer vision and multimodal AI.
GitHub:
https://t.co/pSNOOoSJJ2…
Don't bookmark all 10 and forget about them.
Pick based on where you are:
Python → Python-100-Days
ML → ML-For-Beginners
AI Fundamentals → AI-For-Beginners
LLMs → LLMs-from-scratch
Generative AI → Generative-AI-for-Beginners
Agents → AI-Agents-for-Beginners
Building → OpenAI Cookbook / LLM App
Computer Vision → Segment Anything
Pick one.
Build something.
Then move to the next.
19 year old Japanese student built a trading bot with Claude Code in 2 days.
Used his iPad as a second monitor.
First night: $6,732 profit.
Starting capital: $68.
Total profit so far: $750,000.
[ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞 @zakiraicoder 𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌]
Here's how it works👇
The bot scans over 50 markets simultaneously.
Syncs live BTC data from Binance every second.
Spots price errors before humans even notice.
The edge is pure speed + pattern recognition.
While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.
No guessing.
No emotions.
No hesitation.
Just Claude Code logic finding gaps that close in seconds.
He built the entire system in 48 hours:
→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open
The system runs 24/7.
Every price dislocation = profit opportunity.
Most people are still trading manually, refreshing charts, second-guessing entries.
Meanwhile this 19 year old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.
Why are people still trading manually?
I'm giving away the exact Claude Code setup for free.
24 hours only.
To get it:
1️⃣ Comment " Claude "
2️⃣ Like and Repost
3️⃣ Follow @zakiraicoder (so I can send it via DM)
I'll DM you the complete setup.
Dünyanın En İyi Üniversitelerinin Ücretsiz Açtığı 50 Ders ve Kaynak
1.) https://t.co/fncExGH5jc → Harvard’ın efsanevi bilgisayar dersi
2.) https://t.co/aY6lmk6iiG → MIT’nin tüm ders materyalleri
3.) https://t.co/Dtyhr2AAGB → Stanford ücretsiz ders arşivi
4.) https://t.co/zL3riJrsNa → Yale’in açık ders kayıtları
5.) https://t.co/MdmeoRu0ZU → Berkeley açık eğitim kaynakları
6.) https://t.co/Z9Zzzk4FYM → Michigan açık ders koleksiyonu
7.) https://t.co/6FrWwPO2WE → MIT açık öğrenme platformu
8.) https://t.co/oL9MYqlhtb → Açık Üniversite ücretsiz kursları
9.) https://t.co/ex5cPxQvS1 → Delft mühendislik dersleri
10.) https://t.co/34eCDAm2RR → Dinleyici modunda ücretsiz izleme
11.) https://t.co/OvXJVBCiYu → Dünya üniversitelerinden dersler
12.) https://t.co/fBzmIROlQQ → Ücretsiz kısa kurslar
13.) https://t.co/kxE0rQLcXP → Tüm ücretsiz kursların dizini
14.) https://t.co/PtFBW6iHVd → Sertifikalı ücretsiz üniversite dersleri
15.) https://t.co/GFmlS292M3 → Ücretsiz üniversite ders kitapları
16.) https://t.co/aYC5eAgpuI → Açık erişimli akademik kitaplar
17.) https://t.co/4yzoyqnCaG → Açık eğitim kaynakları arşivi
18.) https://t.co/UwlZTjnY7c → Öğretim materyali koleksiyonu
19.) https://t.co/afNs8D4IEH → Sıfırdan matematik ve fen
20.) https://t.co/LnlL6dYKVh → Problem çözerek öğrenme
21.) https://t.co/qjhr7d8veP → Matematiği görselleştirme
22.) https://t.co/kZAUQgn30s → Matematiği sezgisel anlatma
23.) https://t.co/I40qoYQscb → Adaptif matematik programı
24.) https://t.co/AQdUHUXcND → Kalkülüs ders notları
25.) https://t.co/Jh0K2ZrbPO → Grafikleri canlı çizme
26.) https://t.co/8MPiqpwA4E → Geometri ve cebir aracı
27.) https://t.co/OUOt3guKRb → Adım adım matematik çözümü
28.) https://t.co/UN36zlOUYX → Fizik konularını kavrama
29.) https://t.co/2KRPy1kL00 → Fizik kavram haritası
30.) https://t.co/3cDNeNzz4L → Feynman’ın fizik dersleri
31.) https://t.co/mobQitI1uq → Kimya ders kütüphanesi
32.) https://t.co/n2ZzFRgryN → Biyoloji görsel kaynakları
33.) https://t.co/DgfJIv2A5U → Genetik öğrenme merkezi
34.) https://t.co/C3tIEJ49D2 → Sinirbilim temelleri
35.) https://t.co/AXeEO3nrmy → Stanford felsefe ansiklopedisi
36.) https://t.co/IMIRzoXZMw → İnternet felsefe ansiklopedisi
37.) https://t.co/9ISLv0MDEN → Felsefe giriş kaynakları
38.) https://t.co/QNtd8P9qqM → Her konuda hızlandırılmış ders
39.) https://t.co/sRcK5KiXcI → Uzman anlatımları
40.) https://t.co/Q9OGCGN8kD → Fikir ve bilim içerikleri
41.) https://t.co/oUpcG5ts6N → Derinlemesine deneme yazıları
42.) https://t.co/hPYbSVRl5h → Bilim gazeteciliğinin en iyisi
43.) https://t.co/b1IZmXYpVY → Bilim ve kültür yazıları
44.) https://t.co/4Nwok7W5wn → Bilimsel makale ön baskıları
45.) https://t.co/ojXVoi1jnb → Makine öğrenmesini görselleştirme
46.) https://t.co/WvUtkHkDhR → Pratikten başlayan yapay zeka
47.) https://t.co/vaLziDmUqF → Kod yazarak derin öğrenme
48.) https://t.co/ju8vdExygL → Transistörden bilgisayar kurma
49.) https://t.co/2yocI4NC3j → Bilgisayar bilimi öz müfredatı
50.) https://t.co/JpflM80qAs → Ne öğreneceğinin sırası ve haritası
Dünyanın en iyi eğitimi ücretsiz. Sadece kimse duyurmuyor.
You're seeing these terms everywhere on X but don't know what half of them mean.
Here's the full dictionary:
1. GOAT — Greatest Of All Time
2. POV — Point Of View
3. FOMO — Fear Of Missing Out
4. YOLO — You Only Live Once
5. LOL — Laugh Out Loud
6. OMG — Oh My God
7. WTF — What The Fuck
8. IDK — I Don't Know
9. TBH — To Be Honest
10. NGL — Not Gonna Lie
11. IMO — In My Opinion
12. FR — For Real
13. IYKYK — If You Know, You Know
14. TL;DR — Too Long; Didn't Read
15. SMH — Shaking My Head
16. ICYMI — In Case You Missed It
17. BRB — Be Right Back
18. BTW — By The Way
19. DM — Direct Message
20. IRL — In Real Life
21. RN — Right Now
22. LMK — Let Me Know
23. ASAP — As Soon As Possible
24. JK — Just Kidding
25. NVM — Never Mind
26. LMAO — Laughing My Ass Off
27. AFK — Away From Keyboard
28. FYP — For You Page
29. BFF — Best Friends Forever
30. TMI — Too Much Information
31. W — Win / Winning
32. L — Loss / Losing
33. RATIO — Reply gets more engagement
34. MID — Average / Not impressive
35. SUS — Suspicious
36. BET — Okay / Agreed
37. BASED — Confidently holding a view
38. NO CAP — No lie
39. CAP — A lie
40. RIZZ — Charm / Game
41. SLAY — Did something impressively well
42. ATE — Did something extremely well
43. FIRE — Excellent
44. COOKED — In trouble / Finished
45. LET HIM COOK — Let someone continue
46. DELULU — Delusional
47. VIRAL — Spreading rapidly online
48. MEME — Shareable internet joke/idea
49. CLICKBAIT — Designed to make you click
50. GOATED — Extremely great
51. STAN — Super fan
52. FLEX — Show off
53. AMA — Ask Me Anything
54. OP — Original Poster
55. OC — Original Content
56. NSFW — Not Safe For Work
57. ROFL — Rolling On the Floor Laughing
58. FRFR — For Real, For Real
59. ONG — On God
60. ISTG — I Swear To God
61. IJBOL — I Just Burst Out Laughing
62. AFAIK — As Far As I Know
63. WBU — What About You?
64. HBU — How About You?
65. G2G — Got To Go
66. TTYL — Talk To You Later
67. HMU — Hit Me Up
68. OFC — Of Course
69. FYI — For Your Information
70. TBF — To Be Fair
71. IDC — I Don't Care
72. IK — I Know
73. IKR — I Know, Right?
74. TIL — Today I Learned
75. WYM — What You Mean?
76. WDYM — What Do You Mean?
77. ILY — I Love You
78. PFP — Profile Picture
79. Mutuals — People who follow each other
80. OOMF — One Of My Followers/Friends
81. Lurker — Watches without interacting
82. Troll — Provokes people online
83. Bot — Automated account
84. Receipts — Proof / Evidence
85. Clapback — Sharp response
86. Callout — Public criticism
87. Bait — Content designed to provoke
88. Ratioed — Reply outperforms the original
89. Trending — Currently popular
90. Touch Grass — Spend less time online
91. Doomscrolling — Endless negative scrolling
92. Ragebait — Content designed to make people angry
93. YAP — Talk excessively
94. YAPPER — Someone who talks a lot
95. VIBE — Overall feeling / atmosphere
96. LOWKEY — Somewhat / Secretly
97. HIGHKEY — Openly / Strongly
98. LOCKED IN — Fully focused
99. GLOW UP — Major positive transformation
100. HIT DIFFERENT — Feels especially good/different
Save this.
You'll need it.
🚨 This guy just LEAKED the EASIEST method to make money in 2026
Claude Code + YouTube = $62,000/month
Nothing complicated (Just 13 minutes)
Bookmark this so you don't miss it
This guy literally broke down why some people make it big while others just stay average.
The reason is honestly a bit uncomfortable. Game Theory
Check out the video below:
🚨 BREAKING: Claude can now build your entire mobile app — like a $350K Apple-level developer — in minutes, for free.
What used to take a full team weeks (and thousands of dollars)…
can now be done with a few powerful prompts.
🚨WOW 🚨
Elon Musk just dropped a serious warning:
“You have at most 10 years left to make money by selling your work.”After that, AI will handle most tasks — and paying someone for their time simply won’t make sense anymore.
The 200-year deal of trading your hours for a salary is ending.
And this shift is going to move more money than anything else in modern history.
Real question:
Are you still only selling your time… or are you already learning how to build income with AI?
I genuinely don't understand why every business owner isn't doing this yet.
ChatGPT Astra can do SEO like a $10,000/month agency.
here's the exact setup (takes 4 minutes):
1. give ChatGPT Astra the article below with all prompts
2. give it access to your website, Google Business Profile and competitors
you are done.
thank me later.
Video created on Veo 3.1
Prompt:
Concept: "Big Tech, Small Scale"
Visual: High-end studio commercial. A 3-inch-tall charismatic presenter jogs across a pristine smartphone screen. As the vibrant display lights up underfoot like an interactive dance floor, they point up at the towering camera lenses, shouting praise about optical zoom, before taking a running leap onto the side power button to lock the device.
Camera Movement: Extreme close-up tracking shot moving at floor level with the tiny presenter, pulling back to a wide table shot to reveal the phone lying next to a normal-sized cup of coffee.
Lighting & Audio: Bright Apple-style high-key studio lighting, accompanied by upbeat tech-pop music and punchy miniature footsteps clicking on glass.
Broke? Jobless? Feeling stuck?
Google is paying $1,500 a day — and you don’t need a resume.
All it takes is:
📱 A phone
🌐 Internet
⏱ 5 minutes a day
✅ Like this post
💬 Comment “Google”
🔁 Retweet
👣 Make sure you’re following so I can DM you the details.