hemansnation/AI-Engineer-Headquarters

▲ 27 stars today★ 3,758⑂ 704

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

About hemansnation/AI-Engineer-Headquarters

hemansnation/AI-Engineer-Headquarters is an open-source project on GitHub, mainly written in Jupyter Notebook. A collection of scientific methods, processes, algorithms, and systems to build stories & models. It currently holds 3,758 stars and 704 forks with 0 open issues, and was last pushed on an unknown date (repository created unknown).

Project Overview

AI Homed tracks it on the Today's Trending board, currently at rank #57 with 27 new stars today.

GitHub Repository Details

Repository hemansnation/AI-Engineer-Headquarters · default branch - · size 0 KB · watchers 0 · source: GitHub REST API and repository README

README

Open Source Love

AI Engineer Headquarters

A drill of scientific methods, processes, algorithms, and systems to build stories & models. An in-depth learning resource for humans.

This is a drill for people who aim to be in the top 1% of Data and AI experts.

You can do the drill by watching video sessions or text content.

I will recommend video sessions and use text content as go-to notes.

You can be in one of the following categories:-

No matter what position you are working in currently, you need to put in the same amount of effort to be in the top 1%.

Spoiler alert - There are NO Shortcuts in the tech field.

This is for all humans who want to improve in the field and are courageous enough to take action.

You will find all the topics explained here and whatever is needed to understand it completely.

The drill is all action-oriented.

To be the authority/best in the AI field, I created a routine that includes:

You can customize the learning sessions according to your time availability.

the path

0. Prep 1. Foundational AI Engineering Toolkit 2. Machine Learning & MLOps - Build production-ready ML Systems 3. Mastering Large Language Models - command and control LLMs 4. Build & Deploy scalable RAG systems in production 5. Fine-Tuning LLMs - build domain-specific AI Experts 6. Architect & Build autonomous AI Agents 7. Launch Your career as an AI Expert 8. Bonus - Masterclasses to stay ahead 8. Bonus

GitHub Stars & Activity

3,758Stars
704Forks
0Open issues
Jupyter NotebookLanguage

GitHub Popularity

GitHub stars3,758
Forks704
Open issues0
Primary languageJupyter Notebook
License-
Stars gained today27
Created-
Last pushed-

Trending History

Daily boardrank #57 · ▲ 27 stars

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