Learn How to Make Your Code Production Ready!

This is the 3rd part of the video series. In this video, we will try to convert the Jupyter notebook-based project into a production-ready codebase. This will help you become industry-ready and also create a professional-looking GitHub profile. git repo: https://github.com/roshan-pandey/RAG-Application?tab=readme-ov-file Part 1 - How RAG works and under the hood concepts: https://youtu.be/XgFCA9ZIy7I?si=Pd4A9S_zrLv__8F2 Part 2 - RAG-based project: https://youtu.be/G3EUlIFy1fk?si=dyz8NBTYUFeB2ndh Part 3 - Convert the Jupyter Notebook Project to Production Ready Codebase: https://youtu.be/ZliZjbegW9U SUBSCRIBE, SHARE, LIKE, and COMMENT :) 1-to-1 meeting: https://www.youtube.com/channel/UCDW48YM19iwgdkChPFGz36g/join OR https://cal.com/programming-cradle/30 Telegram: https://t.me/programming_cradle_family Discord: https://discord.gg/EFydz2hRbA Data Science Notes: It will be helpful for you if you take a printout of the notes and add points while watching the Applied AI Course videos. Data Science Notes: https://bit.ly/datasciencenotes or http://ow.ly/Tm7R50EedBh Thanks, Roshan Pandey You can also connect with me on: LinkedIn: https://linkedin.com/in/roshan-pandey GitHub: https://github.com/roshan-pandey Instagram: https://www.instagram.com/_peoples_channel_/ Stock Video Credits: www.pexels.com #programmingcradle #DataScience #MachineLearning