𝗧𝗵𝗲𝘀𝗲 𝟭𝟲 𝗚𝗶𝘁𝗛𝘂𝗯 𝗿𝗲𝗽𝗼𝘀 𝘁𝗲𝗮𝗰𝗵 𝗔𝗜 / 𝗠𝗟 𝗯𝗲𝘁𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗺𝗼𝘀𝘁 $𝟭,𝟬𝟬𝟬 𝗰𝗼𝘂𝗿𝘀𝗲𝘀

𝟭 ⤷ 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀: 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁
A structured 12-week ML curriculum with notebooks, exercises, and projects.
https://lnkd.in/gggwDP9h

𝟮 ⤷ 𝗧𝗵𝗲 𝟭𝟬𝟬 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗠𝗟 𝗖𝗼𝗱𝗲
Daily learning roadmap with hands-on coding tasks.
https://lnkd.in/gyBQF3dv

𝟯 ⤷ 𝗧𝗵𝗲 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀: 𝗣𝘆𝘁𝗵𝗼𝗻
One of the largest collections of algorithms implemented in Python.
https://lnkd.in/gdeUgjsi

𝟰 ⤷ 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
Linear algebra, probability, and optimization for ML engineers.
https://lnkd.in/g_TYTu5J

𝟱 ⤷ 𝗠𝗮𝗱𝗲 𝗪𝗶𝘁𝗵 𝗠𝗟
Production-focused guide covering ML system design and workflows.
https://lnkd.in/gMvyzFgK

𝟲 ⤷ 𝟲𝟬+ 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗮𝗽𝗲𝗿𝘀
Research papers implemented with code and experiments.
https://lnkd.in/gR4aC2GQ

𝟳 ⤷ 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀: 𝗭𝗲𝗿𝗼 𝘁𝗼 𝗛𝗲𝗿𝗼
Hands-on neural network building from scratch.
https://lnkd.in/gnusqKFa

𝟴 ⤷ 𝗛𝗮𝗻𝗱𝘀-𝗢𝗻 𝗟𝗟𝗠𝘀
A practical book repository on building with Large Language Models.
https://lnkd.in/gT3diSRV

𝟵 ⤷ 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗚𝘂𝗶𝗱𝗲
One of the most complete collections of prompt engineering techniques.
https://lnkd.in/gmYzhDY7

𝟭𝟬 ⤷ 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀: 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁
Practical tutorials on building AI agents and automation workflows.
https://lnkd.in/ghGHGiMk

𝟭𝟭 ⤷ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀
Real techniques used for agent orchestration.
https://lnkd.in/gq-c7URx

𝟭𝟮 ⤷ 𝗥𝗔𝗚 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀
Architectures and patterns for Retrieval-Augmented Generation systems.
https://lnkd.in/g5j3ksRA

𝟭𝟯 ⤷ 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀
Real-world projects solving practical business problems.
https://lnkd.in/gFXr4msv

𝟭𝟰 ⤷ 𝗔𝘄𝗲𝘀𝗼𝗺𝗲 𝗡𝗟𝗣
Massive curated list of Natural Language Processing resources.
https://lnkd.in/gW9jBJcM

𝟭𝟱 ⤷ 𝗔𝘄𝗲𝘀𝗼𝗺𝗲 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
Research papers, frameworks, and implementations.
https://lnkd.in/gyXtXQhc

𝟭𝟲 ⤷ 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗳𝗿𝗼𝗺 𝗦𝗰𝗿𝗮𝘁𝗰𝗵
Code implementations for understanding RL deeply.
https://lnkd.in/g8SdWKJU