Advanced Retrieval Augmented Generation (Udemy.com)

good pace, clearly explained basic of the concepts

nice content and training

Explanations are very clear, and the lab is really helpful. For the next update, some very punctual coding parts (when some little errors are being corrected in the code) should be cut off.

Source code is not included. It isn't easy to follow your video and write the code.

This course is really above my expectations and I think everyone can take away some things you didn't know about before.

The course has loads of hands on techniques not seen in other RAG courses and it's very informative and hands-on. I'm looking forward to new content being added to this course and learning more in the future!

So far, the course intro was good. The disclaimer was on point!

Rémi does a really good job at teaching you practical skills not only at RAG but at programming in general. He goes fast, but he gives you great content that -if you take the time to work through it- is all you need for a successful RAG project. I hope he will still finish the course (maybe including a section about evaluation with RAGAS?), but I am already a happy customer. Thanks!

Individuals lectures could be planned better to save readers time, at least spelling mistakes and random bug and troubleshooting is making lectures really really long and boring. Also when troubleshooting instructor jump across up and down on the code so reader can't really work out what's happening but has to keep watching and trying to stay awake!

This is what we have been looking for. The insights can only be gained with real experience. Rémi Connesson is a self-taught expert in Machine Learning and Artificial Intelligence. From the basics of Python to Deep Learning, he trained himself and practically learned everything by taking online courses. After successfully launching his freelance AI business two years ago, he decided to give back and, in turn, offer online courses to help French-speaking countries catch the AI wave. Graduating from a prestigious engineering school, he entered the workforce at a time when, except in elite schools of which he was not a part, academic programs had not yet embraced the rise of Artificial Intelligence. As a result, despite having a brand-new diploma, he literally started from scratch in AI. Curious about the field, which he sensed was the future, he began researching ways to get started but quickly encountered discouraging, definitive answers such as: "You need at least eight years of study to do AI." "You need an IQ higher than Einstein’s." "You must know everything about math, programming, and even neurology." Loving the challenge, learning new skills, and acquiring knowledge efficiently, he decided to take a chance and get to work anyway. Very soon, he realized it was indeed very difficult, so he decided to prioritize practice and approach learning differently than other aspiring Data Scientists. And this approach paid off because it took him only four months after writing his first "import sklearn" to land an R&D Deep Learning internship at a cutting-edge Parisian fintech specializing in artificial intelligence and computer vision in the banking sector. This internship allowed him to see how fascinating the field was, but also to realize that there was still a lot for him to learn. After the internship, Rémi continued his self-study through foreign online courses and chose to pursue freelancing to quickly gain hands-on experience and work on as many AI projects as possible. Within less than a year, he secured his first AI clients and was able to make a living from freelancing. Since then, feeling fulfilled and still convinced that Artificial Intelligence is a field of the future, he has decided to help as many people as possible learn AI. To do this, he co-founded a volunteer association with a friend to enable more people to enter the world of AI. The conferences, workshops, and free courses he organizes in this context confirmed his passion for teaching. Shortly after, he moved into professional training, becoming the lead instructor for the "Ecole IA" created by Microsoft and Simplon and a professor for the Data Science & Machine Learning specialization at ECE Paris. Now, he shares with you the advice and techniques that allowed him to learn Artificial Intelligence and succeed in Data Science as a self-taught learner, here on Udemy.