Sauvik

23 | 3🌟 Leetcode | Full Stack Web Developer | Certified Cloud Practitioner | Learning MERN & AWS | Chess (1700)

[Swapna Kumar Panda @swapnakpanda]

Mathematics is MUST for AI ENGINEERING.

These 2 channels are more than enough. Absolutely Beginner Friendly.

[Swapna Kumar Panda @swapnakpanda]

Learn Linux Absolutely FREE.

Best courses for Beginners in 2026:

1. Linux Commands
https://t.co/ccFw2qG6BG

2. Linux Crash Course
https://t.co/KvyiuvPrv2

3. Linux for Hackers
https://t.co/xVVjT39PgQ

4. Linux Zero to Hero
https://t.co/8w7n3c3jRR

5. Bash Scripting
https://t.co/aG18x5Wov9

6. Linux for Hackers
https://t.co/epdfUoZ4ar

[Sauvik @myselfsauvik]

If you had a choice between two jobs, one fully remote at $120K/year and the other 5 days in-office at $240K/year, which would you choose?

[Leonard Rodman @RodmanAi]

20 Backend Development Full Courses for 2026:

1. Git
https://t.co/P4BYv5cMPt

2. Java + Spring Boot
https://t.co/en6mrniT5W

3. Node.js
https://t.co/N0p3UMAjbe

4. REST API
https://t.co/I2vNe40Zwi

5. GraphQL API
https://t.co/DmKYHqQciG

6. gRPC
https://t.co/ENNhHu7esg

7. Webhooks
https://t.co/v4u6QzJ6Zt

8. Authentication
https://t.co/TNsU8X1YMm

9. Payment Gateway Integration
https://t.co/rigBJ0xC3a

10. Stripe Payment Integration
https://t.co/jRp28Usqd5

11. PayPal Integration
https://t.co/S84t6SBvZO

12. PhonPe Integration
https://t.co/UsMKrrDvIj

13. Razorpay Integration
https://t.co/rYFjTbUP2k

14. Express.js
https://t.co/8ZygpaVLeR

15. Kafka
https://t.co/IMd0qCJ550

16. Redis
https://t.co/GTNCwvyo6f

17. Docker
https://t.co/Kc8vTalbOE

18. Kubernetes
https://t.co/EFDN03qsXX

19. Design Patterns
https://t.co/nRjIURIWFU

20. Backend Complete Course
https://t.co/9orom6fBm8

[Nandkishor @devops_nk]

GOATED playlist 2 years old. Still making people job-ready.

[Rohit Kumar Tiwari @_rohit_tiwari_]

If you want to learn AI the right way, start here.

No shortcuts. No hype. No fluff.

Top 10 Stanford's Courses on AI & ML.

CS221: Artificial Intelligence
CS229: Machine Learning
CS229M: Machine Learning Theory
CS230: Deep Learning
CS234: Reinforcement Learning
CS224N: Natural Language Processing
CS231N: Deep Learning for Computer Vision
CME295: Large Language Models (LLMs)
CS236: Deep Generative Models
CS336: Language Modeling from Scratch

[Jahir Sheikh @jahirsheikh8]

Best YouTube Channels To Learn AI in 2026 (No BS)

1. Fundamentals – 3Blue1Brown
2. Deep Learning – Andrej Karpathy
3. AI Research – Yannic Kilcher
4. Practical AI – AssemblyAI
5. LLMs – AI Explained
6. ML Theory – StatQuest
7. Papers Simplified – Two Minute Papers
8. GenAI – Matthew Berman
9. AI Agents – Nicholas Renotte
10. Applied ML – Krish Naik
11. PyTorch – Aladdin Persson
12. Math for ML – Serrano Academy
13. Industry Insights – Lex Fridman
14. Real-world AI – DeepLearningAI

[Vivo @vivoplt]

20 accounts to follow in DSA

@striver_79 = structured DSA roadmap king
@kunalb12 = fundamentals clarity king
@lovebabbar3 = interview sheet king
@neetcode1 = pattern recognition king
@arshgoyalyt = placement grind king

@anujbhaiya = interview prep king
@itsgarimamalhotra = consistency king
@ashoo_guptaa = mock interview king
@tech_girl17 = coding discipline king
@shanselman = dev career insight king

@leetcode = problem practice king
@codeorg = CS education king
@googledevs = dev resources king
@github = open source king
@OpenAI = AI tooling king

@jefrois = software craft king
@BrendanEich = JS brain king
@wesbos = practical learning king
@ThePracticalDev = dev community king
@TechRepublic = tech news king

Follow them all and solve.

[Simons @Simon_Ingari]

Delete these from your CV.

1. Marital status

2. Your high school and primary details if you have attended college

3. Your date of birth

4. Your religion

5. Your hobbies. Nobody is going to shortlist your CV because you love traveling. Unless it is a travel agent job.

6. Inappropriate email addresses (e.g. Dramaqueen, CaroMsupa, crazygamer, PartyAnimal4Life not going to get you a job): Use professional email like "[Your Name]@ [Email Provider]"

7. Long paragraphs: Use bullet points to make it clearer (also, most recruiters don't have time to read through all your words)

8. Irrelevant work experience. Example you are applying for nutrition job and you indicate that you have been working as a sales executive of nivea. Zinaingiana wapi?

9. Irrelevant Skills . Example Applying for an Accountant position but mentioning “Heavy Machinery Operation”

10. Lastly remove your ID number. Jameni!

Irrelevant stuff you include to make your CV long might in most cases work against you.

Send a mail now to [email protected] with subject 'Revamp Promo'
Promo reserved exclusively for request received via email

[Mustafa @oprydai]

> I don’t understand why people are still paying in dollars to learn LLMs.

> these 9 lectures from Stanford are a pure goldmine for anyone wanting to understand LLMs in depth.

[Tech with Mak @techNmak]

Build LLMs from Scratch 🚀

Found this gem, a 43-lecture series that actually delivers on its promise: building Large Language Models from the ground up.

What's inside:
→ Transformer architecture
→ GPT internals
→ Tokenization (BPE)
→ Attention mechanisms
→ Complete Python implementations

Perfect for ML engineers and developers who want to understand what's really happening under the hood of ChatGPT, Claude, and similar models.

🔗 [Playlist link in comments]

Watch. Practice. Learn

[Jaydeep @_jaydeepkarale]

This playlist explains Microservices like no one else does

[Hashmitha @Physicla_]

Goal for the next month : )
#ML

[Sauvik @myselfsauvik]

@kingOfAverages @AmanSharma_554 Link?

[Vaishnavi @_vmlops]

As many of you were asking me to suggest a good ML course in English, I’d recommend Siddhardhan's ML playlist. He covers all the essential Python for ML, includes great projects, & has divided the course into 7 parts totaling 60 hours. I went through his 145-video playlist, & it’s truly one of the best

[Swapna Kumar Panda @swapnakpanda]

For learning Mathematics,

These TWO channels cover everything. Most Beginner Friendly.

[Dmitrii Kovanikov @ChShersh]

I finally finished watching the entire Data Structures & Algorithms playlist by @pmavrin

61 videos
~90 hours of content
Presented by an ICPC World champion

I already attended lectures with the same content 14 years ago. Yet, it was a nice refresher.

I was happy to see how much simpler things became. Back at ITMO University, I struggled most of the time to understand the concepts behind some sophisticated data structures.

Turns out, the skills I gained through more than a decade of work experience really helped. Specifically,

1. Decomposing a big problem into smaller ones
2. Thinking about edge cases
3. General reasoning skills

[TheBetterPath @TheBetterPath_]

Bookmark this for later

[ℏεsam @Hesamation]

crazy that it just takes 27 hours to learn machine learning from the Andrew NG’s Stanford course that students pay tens of thousands of dollars for.

thank you internet.