salmantech

Software Engineer @Shell

[salmantech @akjsal]

🤖 Module 1 of LLM Zoomcamp done!

- RAG from scratch in plain Python
- Search with minsearch
- Chunking
- Agents & function calling

My code: https://t.co/rYVgAvTv4J

Free course by @Al_Grigor & @DataTalksClub: https://t.co/F3qDw8dGHL

[salmantech @akjsal]

Joined the LLM Zoomcamp 2026 by @DataTalksClub!

Over the next 10 weeks, I’ll be building production-ready LLM applications with RAG, vector search, embeddings, AI agents, evaluation, monitoring, and orchestration

Thanks @Al_Grigor

https://t.co/7GK81b53Kl

[salmantech @akjsal]

Make use of this free zoomcamp by @Al_Grigor

[Alexey Grigorev @Al_Grigor]

Data Engineering Zoomcamp starts in one week, on January 12.

What you'll gain:

🔸 Hands-on data engineering training
🔸 Portfolio-worthy project
🔸 Certificate

+ Homework assignments and an amazing community of motivated learners!

Sign up now: https://t.co/KpYI2S5IxY

[salmantech @akjsal]

free data engineering cohort from @Al_Grigor .

[Alexey Grigorev @Al_Grigor]

Over 13,400 have registered for our Data Engineering Zoomcamp!

Thanks to those who joined.

Haven't yet? There's time!

Join our new cohort on January 12, 2026.

Learn data engineering for free and earn a certificate.

Register here: https://t.co/KpYI2S5IxY

[salmantech @akjsal]

Make use of this scholarship

[Alexey Grigorev @Al_Grigor]

I'm launching a new iteration of my AI Bootcamp.

This time, I also offer several scholarship spots.

I understand that ot everyone has the budget for a paid program, but many are eager to learn, practice, and develop their skills.

1/5

[Alexey Grigorev @Al_Grigor]

We're launching a new run of AI Hero, our free 7-day email course on building AI agents.

This time it runs as a cohort: complete the project + review three submissions, and you'll receive a certificate signed by me.

Sign up here: https://t.co/cJmulWzodb

[salmantech @akjsal]

Great blog from @arpit_bhayani to understand basics of how LLMs work under the hood. Must read.

[Arpit Bhayani @arpit_bhayani]

Wrote an article on how LLM inference works. I spent about a week trying to build a clear understanding, and this is my distilled version of it. It covers the full inference journey: embeddings, attention, KV caching, quantization, and more.

I am no expert, but if you are looking for a starting point, this might help. Give it a read.

[Zach Wilson @EcZachly]

I'm launching a free data science interview boot camp with Vaishali Macwan tomorrow!

For the next four weekends, Vaishali will go over the most important things to land a product data scientist role!

- Week 1 Getting Noticed
You can't land a job without landing an interview. Master the job search skills quickly!

- Week 2: The fundamentals and interview formats
SQL is absolutely essential for data scientists. We'll be covering the different interview formats this week too

- Week 3: How to pass the product sense and company fit rounds
Product sense is one of the most difficult interview rounds for data scientists. Vaishali has mastered this round and will pull back the curtain!

- Week 4: The behavioral round and negotiation
These two rounds are critical to sealing the deal for your new data science job and getting paid the most you can!

You can join the free boot camp here: https://t.co/95Xqml6CGd

[salmantech @akjsal]

@Ai_Vaidehi ML

[salmantech @akjsal]

@BharukaShraddha AI

[Shraddha Bharuka @BharukaShraddha]

🚀 The Complete Guide to Building AI Agents, From Zero to Production

AI Agents are the next big leap in automation, they can think, plan, and execute tasks just like humans 🤖

This guide takes you from basics to building real, production-ready AI Agents — step by step!

To get your copy 👇
1️⃣ Like & Repost
2️⃣ Comment “AI”
3️⃣ Follow (so I can DM you the guide)

💡 The future isn’t about using AI — it’s about building it. Start today!

[salmantech @akjsal]

@trikcode print(“Hi”)

[PyQuant News 🐍 @pyquantnews]

New to Pandas?

Here's a cheat sheet you can download (free):

[Python Space @python_spaces]

This repo literally teaches you how to build end-to-end RAG applications!

- hands-on guide
- Noteboos with explanation
- Intro to Advanced implementations
- All for FREE

Find the repo link 🧵 👇

[Alexey Grigorev @Al_Grigor]

I created a free 7-day email course on building an AI agent based on any GitHub project.

Each day, I send you one tutorial with code:

👉 Join here: https://t.co/cJmulWzodb

[Aakash Gupta @aakashgupta]

Anthropic literally dropped an entirely free roadmap to AI mastery

[salmantech @akjsal]

Day 3: Search engine for my AI agent from @Al_Grigor ‘s 7 day AI Agents course

3 search methods implemented:

🔍 Text search (exact matches)
🧠 Vector search (semantic similarity)
🔁 Hybrid search (best of both)

here’s my repo : https://t.co/NAwo2j6JRs

[salmantech @akjsal]

Day 2: Document chunking for my AI Agent ✅ from @Al_Grigor ‘s 7 day AI agents crash course

3 chunking methods:
1️⃣ Simple sliding window
2️⃣ Section-based splitting
3️⃣ AI-Powered chunking

Here’s my repo - https://t.co/NAwo2j6JRs

[Shubham Saboo @Saboo_Shubham_]

We are launching a 5-Day AI Agents course on Kaggle.

Learn about AI Agent patterns, agent tools, context engineering, memory management, agent evaluations and building production grade multi-agent systems with A2A.

100% free and open to all.

[salmantech @akjsal]

🤖 Built my first AI data pipeline in a course from @Al_Grigor

✨ Downloads any GitHub repo
📝 Parses markdown
🔍 Prepares data for AI search

Here's my repo: https://t.co/NAwo2j6JRs

You can sign up here: https://t.co/7uVTHshY8r