Andrew Baskar

[𝗞𝗔𝗥𝗧𝗛𝗜𝗞 @MrBatman077]

எந்த சத்யபாமாவை பிரச்சாரம் பண்ணவிடமா திமுக, அதிமுக சேர்ந்து சதி பண்ணாங்களோ, இப்போ அதே சத்யபாமாவை வேன் மேல உயிரத்துல நிக்க வச்சுட்டு எங்க இப்போ முடிஞ்சா பிரச்சனை பண்ணுங்கடா பாக்கலாம் ன்னு ரோட்ல இறங்கி நடந்து வராரு தலைவன் 🔥

பிறவி அரசியல்வாதி @TVKVijayHQ 💥

[Omjasvin M D @omjasvinMD]

Doesn’t make me a spokesperson to state the fact that the crowds are super massive, sir. 🤪 You can watch it in live for yourself to verify it.

And ofc, it is also a fact that @CMOTamilnadu’s campaigns were curtailed in multiple spots over the last few years, and were also cancelled in the last minute due to heavy crowds. Now, he’s doing the same with full police support.

[Dhanush N @Dhanush_Nehru]

AI security is about to be the highest-paid skill in tech.

Everyone's building AI agents. Almost nobody's securing them.

Master these 10 concepts and you'll be in the top 1% of AI security engineers. 🧵

[Mohini Goyal @Mohiniuni]

STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI.

I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses.

VIDEOS:
1. LLM Introduction — https://t.co/dMRYzv2Obi
2. LLMs from Scratch — https://t.co/ZqJA58pCyt
3. Agentic AI Overview (Stanford) — https://t.co/yV6998rgFL
4. Building & Evaluating Agents — https://t.co/5mUQAfcGy1
5. Building Effective Agents — https://t.co/MMhhwDVy4C
6. Building Agents with MCP — https://t.co/O2P1yXcE9D
7. Building an Agent from Scratch — https://t.co/AVsw8VAoJq
8. Philo Agents — https://t.co/9KXVt3LXL9

GITHUB REPOS:
1. GenAI Agents — https://t.co/eF7J3oWbtk
2. Microsoft AI Agents for Beginners — https://t.co/SN89Ce3eTU
3. Prompt Engineering Guide — https://t.co/OZVkfc4srL
4. Hands-On Large Language Models — https://t.co/uvHgW6uY5n
5. GenAI Agents — https://t.co/jcdXdhVr30
6. Made with ML — https://t.co/ImutBpUfHw
7. Hands-On AI Engineering — https://t.co/G01J4TC02P
8. Awesome Generative AI Guide — https://t.co/Gzqjbw4N9x
9. Designing Machine Learning Systems — https://t.co/XPIrAuGJp9
10. Machine Learning for Beginners — https://t.co/cRRLcQgU7N
11. LLM Course — https://t.co/JuvicKv4AK

GUIDES:
1. Google's Agent Whitepaper — https://t.co/kHkvXYuAl9
2. Google's Agent Companion — https://t.co/r2EwHcEokj
3. Building Effective Agents by Anthropic — https://t.co/HAiHJZfFQa
4. Claude Code Agentic Coding Practices — https://t.co/dF5Oa4S3Qy
5. OpenAI's Practical Guide to Building Agents — https://t.co/U2hUuv9gwC

BOOKS:
1. Understanding Deep Learning — https://t.co/xVKGHk96eC
2. Building an LLM from Scratch — https://t.co/A1djwzA71A
3. The LLM Engineering Handbook — https://t.co/XEkavMsiCh
4. AI Agents: The Definitive Guide — https://t.co/UsFUB2ZeRx
5. Building Applications with AI Agents — https://t.co/kSjvEDdDDV
6. AI Agents with MCP — https://t.co/xHgPjZ97dg
7. AI Engineering — https://t.co/8orWlnw8oU

RESEARCH PAPERS:
1. ReAct — https://t.co/ObYdX0Uu8L
2. Generative Agents — https://t.co/vNukwpH8MO
3. Toolformer — https://t.co/5PCXYSJ3kM
4. Chain-of-Thought Prompting — https://t.co/epdlBkPa12

COURSES:
1. Meta Data Analyst Professional Certificate: https://t.co/SGNCeOJe6A
2. Google Advanced Data Analytics Professional Certificate: https://t.co/FzC2gflTL2
3. Microsoft Power BI Data Analyst Professional Certificate: https://t.co/LElfRl0uU9
4. Google Data Analytics Professional Certificate: https://t.co/Yxymfd5fz7
5. Introduction to Data Analytics: https://t.co/rEzeCNEQHl
6. Machine Learning Specialization: https://t.co/lBiHlPA9W7
7. IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate: https://t.co/vVpcYYwyzS
8. Deep Learning Specialization: https://t.co/5gRjuy8l1I
9. Crash Course on Python: https://t.co/D6JCUU3PQv
10. Python for Data Science, AI & Development: https://t.co/SkKtfXTLXn
11. ChatGPT + Excel: AI-Enhanced Data Analysis & Insight Specialization: https://t.co/lv8GNM3all
12. Work Smarter with Microsoft Excel: https://t.co/tZ3XiLsBA8
13. Microsoft Excel Professional Certificate: https://t.co/EZ65YvmOJR
14. Excel Basics for Data Analysis: https://t.co/wEYI2zL14m
15. SQL Foundations: https://t.co/PzfiCYtqL8

Repost so someone else can find this roadmap, and pls consider following @Mohiniuni for more content around AI, Beauty, and businesses.

[Suraj Sharma @suraj_sharma14]

8 roles that will matter most in the next 5 years & what to learn for each:

1.) AI Engineer
- Ships LLM features into real products
Learn: RAG, tool calling, evals

2.) Forward Deployed Engineer
- Builds AI systems inside customer companies
Learn: Python, APIs, talking to customers

3.) Agent Ops Engineer
- Keeps fleets of AI agents running safely, 24/7
Learn: tracing, queues, cost controls

4.) AI Security Engineer
- Protects AI systems from prompt injection and data leaks
Learn: threat modeling, red teaming, sandboxing

5.) AI Infrastructure Engineer
- Runs the GPUs and inference that everything else depends on
Learn: Kubernetes, vLLM, GPU scaling

6.) Cloud Security Engineer
- Locks down the cloud every AI product runs on
Learn: IAM, AWS/GCP security, compliance

7.) AI Governance Engineer
- Makes sure AI follows the law and company policy
Learn: audit logs, policy as code, the EU AI Act

8.) AI Evals Engineer
- Proves the AI actually works before users find out it doesn't
Learn: test datasets, LLM-as-judge, regression tracking

Titles will change.
Builders who can ship real AI systems won't go out of style.

Bookmark this + send it to someone choosing their next role.

[Suresh @Suresh199104]

அங்கிளோட அட்ராசிட்டி தாங்கல! 😂😂

[Pokkiri_Victor @Pokkiri_Victor]

தரமான செரு*ப்படி 🤣🤣🔥🔥

[Aswinkumar_TVK @Aswinkumar_TVK]

Peak Cinema💥🔥🥵📈✅

Kudos to @Psmithran @Karthi_Offl @iam_SJSuryah #Sardar2Team 👌🏼

[David J Harris Jr @DavidJHarrisJr]

🚨BREAKING: Dr. Michael Stein says if he gets cancer, he won’t step foot in a hospital because he claims he’s seen too many people die from chemotherapy, not the cancer itself!

According to the quote circulating online, here is what he says he would do instead:

"1. I’ll stop working and fast for 30 days."
"2. I’ll drink 4 liters of water every day."
"3. I’ll eat a plant-based diet, non-GMO, organic."
"4. I’ll stop stress, change my environment, get 8 hours of sleep."
"5. I’ll take high doses of Vitamin C, D3, Zinc, and Magnesium."
"6. I’ll do hyperbaric oxygen therapy."
"Cancer can't survive in an alkaline, oxygenated, stress-free body."

[KawiN @RR013C]

I am crying 😭 🧿❤️
Whole CM family watching this in Kamala 🧿❤️😭

[Suriya Sivakumar @Suriya_offl]

உங்கள் வரவு நல்வரவாகட்டும் சஞ்சய்..!
Can't believe little Sanjay is a director now! 😊 Big day tomorrow. All the very best to @official_jsj.

Hearty wishes to @sundeepkishan, @LycaProductions and the cast & crew of #Sigma.

[The Dr. Logos © @TheDoctorLogos]

That's one of the most impressive videos I've ever seen

[Alaxie @Alaxie_Ai]

BREAKING NEWS: No matter how close your coworkers are, never talk about your personal matters at work. Never!

THIS IS THE REASON...

[Perks @perksverse]

Mark Cuban on the next job wave:

"Software is dead because everything's gonna be customized to your unique utilization. Who's gonna do it for them..."

The answer is people who know how to fine-tune small LLMs on private data.

Not prompting. Not API wrappers.

Actual custom models trained on your business.

And almost nobody knows how to do it yet.

This is the complete guide ↓

Bookmark this. This is the one.

[Sridhar Vembu @svembu]

One of the early things we did at Zoho was build our own cloud infrastructure to run our applications. From databases, identity and messaging to search, storage and compute, we built it ourselves rather than depending on AWS or Google Cloud.

We have opened this infrastructure to developers as Catalyst, our serverless platform. What started as a way to extend Zoho is now being adopted by developers outside the Zoho ecosystem as well.

We are investing heavily in Catalyst and making it free for students, so they can build and deploy real applications without worrying about infrastructure costs.

Our goal is to give developers the infrastructure to turn their ideas into real products.

https://t.co/B3mBGZPc7S

[Suresh TVK @msureshtvk]

யாரு சாமி இவரு..😂

எங்க இருந்து வந்திருக்காரு 😂😂

[அர்ஜுன் தமிழீழவன் (Arjun) @___Arjun___04]

யோவ் @sansbarrier…மீண்டும் மீண்டும் ஆ! 🤣🤣🤣

[TVK Ramesh @RameshOffcl]

மதுரை மீன��ட்சி கோயிலில் “அழகருடன்”.
‌
@CMOTamilnadu | @TVKVijayHQ
#CMJosephVijay

[Sripathi Teja @sripathiteja4]

Learn AI for free directly from top companies.

1 - Anthropic:
https://t.co/9EduZDcj9Z

2 - Google:
https://t.co/99Czpf5KKs

3 - Meta:
https://t.co/dBBKUQueyj

4 - NVIDIA:
https://t.co/8jpLrGJzxy

5 - Microsoft:
https://t.co/wmK2R8oilJ

6 - OpenAI:
https://t.co/ifQ8cEx0Qt

7 - IBM:
https://t.co/QFGI0v8Cqa

8 - AWS:
https://t.co/nati5WaARH

9 - https://t.co/0vjKn1mtg2:
https://t.co/bOlcLMfgyd

10 - Hugging Face:
https://t.co/bmSTfzCvB4

Comment "Learning" if you find this helpful.

Repost so others can take help.

Must bookmark for future reference.

[Nikki Siapno @NikkiSiapno]

𝗠𝗖𝗣 𝘃𝘀 𝗔𝗣𝗜.

An 𝗔𝗣𝗜 defines how software systems communicate through specific endpoints, requests, and responses. It gives applications a structured way to access data or trigger functionality in another system.

𝗠𝗖𝗣 gives AI applications a standardized way to discover and use external tools, data, and resources. Instead of building custom integrations for every AI client, an MCP server exposes capabilities through a common protocol.

APIs expose functionality to software. MCP standardizes how AI applications discover and interact with that functionality.

But once AI sits behind an API, the request-response model gets harder.

Inference might take longer than the request can stay open. It might fail halfway through. It might need to be retried.

That changes how the API itself should be designed.

Oracle’s guide breaks down how to design for that with asynchronous jobs, workers, durable state, and predictable API contracts.

𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗴𝘂𝗶𝗱𝗲 → https://t.co/YIJ4uDSgRA

What else would you add?

——

🙏 Thanks to @OracleDevs for sponsoring this post.
➕ Follow me ( Nikki Siapno ) to improve at AI and system design.