GitHub - barvhaim/llm-learning-path: 🎓 Structured LLM Learning Path — From Zero to Researcher. 8-phase curriculum covering Transformers, pre-training, fine-tuning, alignment, agents, and advanced research. · GitHub
/" data-turbo-transient="true" />
Skip to content
Search or jump to...
Search code, repositories, users, issues, pull requests...
-->
Search
Clear
Search syntax tips
Provide feedback
--><br>We read every piece of feedback, and take your input very seriously.
Include my email address so I can be contacted
Cancel
Submit feedback
Saved searches
Use saved searches to filter your results more quickly
-->
Name
Query
To see all available qualifiers, see our documentation.
Cancel
Create saved search
Sign in
/;ref_cta:Sign up;ref_loc:header logged out"}"<br>Sign up
Appearance settings
Resetting focus
You signed in with another tab or window. Reload to refresh your session.<br>You signed out in another tab or window. Reload to refresh your session.<br>You switched accounts on another tab or window. Reload to refresh your session.
Dismiss alert
{{ message }}
barvhaim
llm-learning-path
Public
Notifications<br>You must be signed in to change notification settings
Fork
Star
main
BranchesTags
Go to file
CodeOpen more actions menu
Folders and files<br>NameNameLast commit message<br>Last commit date<br>Latest commit
History<br>2 Commits<br>2 Commits
notes
notes
phase-1-foundations
phase-1-foundations
phase-2-transformers
phase-2-transformers
phase-3-pretraining
phase-3-pretraining
phase-4-finetuning
phase-4-finetuning
phase-5-inference
phase-5-inference
phase-6-prompting
phase-6-prompting
phase-7-agents
phase-7-agents
phase-8-advanced
phase-8-advanced
projects
projects
.gitignore
.gitignore
README.md
README.md
reading-log.md
reading-log.md
View all files
Repository files navigation
🎓 LLM Learning Path — From Zero to Researcher
A structured, self-paced curriculum for mastering Large Language Models and LLM-based Agents.
Timeline: ~5 months (can be shortened to ~3 months with prior DL experience)
📋 Curriculum Overview
Phase<br>Topic<br>Duration<br>Status
Foundations<br>2-3 weeks
Transformers<br>2-3 weeks
Pre-training & Scaling<br>2-3 weeks
Fine-Tuning & Alignment<br>2-3 weeks
Inference & Deployment<br>1-2 weeks
Prompting & Reasoning<br>1-2 weeks
LLM Agents<br>2-4 weeks
Advanced Research<br>Ongoing
🗺️ How to Use This Repo
Go phase by phase — each folder has its own README with objectives, readings, and exercises
Check off items as you complete them (edit the checkboxes in each phase)
Take notes in the notes/ folder — one file per phase
Do the exercises — hands-on work is where the real learning happens
Track papers you've read in the reading log
📐 Prerequisites
Python programming (intermediate+)
Basic linear algebra (vectors, matrices, dot products)
Basic calculus (derivatives, chain rule)
Basic probability (distributions, Bayes' theorem)
🔑 Key Resources (Quick Access)
Resource<br>Type<br>Link
Karpathy — NN: Zero to Hero<br>Video Series<br>YouTube
HuggingFace LLM Course<br>Course<br>HF Learn
Lilian Weng Blog<br>Blog<br>lilianweng.github.io
Papers With Code<br>Reference<br>paperswithcode.com
arXiv cs.CL<br>Papers<br>arxiv.org/list/cs.CL
📜 License
This learning path is open source. Feel free to fork, modify, and share.
About
🎓 Structured LLM Learning Path — From Zero to Researcher. 8-phase curriculum covering Transformers, pre-training, fine-tuning, alignment, agents, and advanced research.
Resources
Readme
Uh oh!
There was an error while loading. Please reload this page.
Activity
Stars
stars
Watchers
watching
Forks
forks
Report repository
Releases
No releases published
Packages
Uh oh!
There was an error while loading. Please reload this page.
Contributors
Uh oh!
There was an error while loading. Please reload this page.
You can’t perform that action at this time.