Two years ago, I published the LLM Roadmap: From Beginner to Advanced Level book on the @ToDataBeyond store.
Thankfully, the book became one of the best-selling products on the To Data & Beyond store. Last year, I published the second edition, where I added new resources and covered more topics in the world of LLMs.
Now, I have decided to make the project open source and freely available to everyone.
The idea is to give anyone interested in learning LLMs and Generative AI a clear roadmap. It starts from the fundamentals and moves all the way to practical applications, RAG, deployment, LLMOps, and building a strong portfolio through a variety of resources suitable for each stage.
Of course, the project still has plenty of room for improvement, and that is a core part of open source. Any contribution from the community is welcome, whether by adding resources, improving the explanations, fixing mistakes, or suggesting new sections.
๐๏ธ SQL Essential Commands Every Developer Should Know!
SQL is the language that powers data. Whether you're building websites, mobile apps, or enterprise systems, these commands form the foundation of database management.
โ SELECT โ Retrieve data
โ INSERT โ Add new records
โ UPDATE โ Modify existing data
โ DELETE โ Remove records
โ WHERE โ Filter results
โ ORDER BY โ Sort data
โ GROUP BY โ Aggregate data
โ JOIN โ Combine multiple tables
Master these essentials, and you'll be able to work confidently with almost any relational database. ๐
#SQL #Database #WebDevelopment #Programming
Math + Statistics -> ML Engineer
Linear Algebra + Probability -> Research Scientist
AI + ML + DL -> AI Engineer
NLP + Transformers -> LLM Engineer
Computer Vision + CNNs -> CV Engineer
DSA + Systems Design -> ML Infrastructure Engineer
DBMS + Vector Databases -> RAG Engineer
Cloud + Distributed Systems -> MLOps Engineer
Prompt Engineering + APIs -> AI Product Engineer
Ethics + Policy -> AI Safety Researcher
Reinforcement Learning + Game Theory -> RL Engineer
Data Engineering + ETL Pipelines -> ML Data Engineer
Robotics + Control Systems -> Robotics AI Engineer
Speech Processing + Audio Signals -> Speech AI Engineer
Edge Computing + Model Compression -> Edge AI Engineer
same foundation. fifteen different directions... depending on what you specialize in.
and people still ask why we're forced to study "useless" subjects.
Bookmark & Repost!
If you want to stay up to date on the latest AI and Machine Learning research, reading academic papers can help.
But they can be a bit intimidating and hard to understand sometimes.
In this course, you'll learn how to approach and understand the theory, math, and structure in academic papers.
https://t.co/FL6fOAI0yZ
You can learn key cybersecurity concepts from Harvard professor Dr. David J. Malan right on the freeCodeCamp YouTube channel.
In this course, Dr. Malan teaches you how to secure your accounts, databases, software systems, and more.
You'll also learn how to protect your privacy and see examples of both high-level and low-level threats.
https://t.co/IHXleBiS3F
Learning TensorFlow Alone Won't Get You an AI Job Anymore.
The AI tech stack has changed.
Here's a complete roadmap of tools you should learn: https://t.co/tLJzDC1k1s
๐ฅ JavaScript DOM Methods Cheat Sheet
The DOM is where JavaScript brings your web pages to life.
Master these essential methods:
โ `getElementById()`
โ `querySelector()`
โ `querySelectorAll()`
โ `createElement()`
โ `appendChild()`
โ `remove()`
โ `setAttribute()`
โ ...
๐ REST API Cheat Sheet Every Developer Should Bookmark
๐น GET โ Fetch data from the server
๐น POST โ Create new data
๐น PUT โ Update existing data (full update)
๐น PATCH โ Update specific fields (partial update)
๐น DELETE โ Remove data
AI Engineers design, build, and deploy AI models and systems to solve complex real-world problems.
And if you want to get into the field, this handbook is for you.
In it, @tatevkaren7 discusses must-have skills, shares tips for getting started, and goes through use cases for AI tools & technologies.
https://t.co/55cgy12Cxh
Let me show you how to set up your own AI company with Paperclip.
I'll walk you through how the multi agent system works, how the CEO hires and manages other agents, and how to get everything running on a VPS.
So if you want to understand why Paperclip is getting so much attention, watch this video.
Functions in Python made SIMPLE
โ Write once, use many times
โ Makes your code clean and reusable
โ Easy to understand with real examples
๐ A function is just like a remote button โ press it, and an action happens!
Start learning step by step and build strong coding basics
Complete RAG Playlist
What you will learn:
- Introduction To Undertsanding RAG(Retrieval-Augmented Generation)
- 2-Build RAG Pipeline From Scratch-Data Ingestion to Vector DB Pipeline-Part 1
- 3-Build RAG Pipeline From Scratch-Building Advanced Retreival Query Pipline-Part 2
- 4-Building RAG With Typesense- Lightning Fast,Open Source Search
- Agentic AI 3.0 - Live Ultimate RAG Bootcamp
- 5-Getting Started With Agentic RAG With Detailed Implementation Using LangGraph
- Build Advanced Retrieval-Augmented Generation (RAG) with MongoDB Vector Search
- Mastering LLM Chatbots And RAG Evaluation Crash Course
Link is in the first comment ๐
โป๏ธ Share this with your network if you found it useful or insightful.