Towards AI Academy

A highly detailed course that truly turns you into a professional LLM developer. It covers a wide range of topics: data collection, search, re-ranking, chunking, deployment, various techniques and approaches that may work in some cases and not in others. This is exactly what immerses you in real-world challenges, where you’re faced with a task and must find a solution. There’s no perfect or one-size-fits-all answer; every task has its own path. The essence of this course is to provide these different approaches so you can gain hands-on experience and develop an inner intuition, understanding which approach works best for a particular problem. I am grateful to the Towards AI team for delivering such an amazing course. This course has raised me to an even higher level!

The second version of this book can easily be considered a must-read as well as the first version. It's great to have key and evolving concepts explained like this!

I was searching for up to date content for RAG and this was the best course i found to learn new techniques.

This course is highly valuable. You can learn a lot about different critical aspects of LLMs and RAG. Before taking it, I used to wander through endless resources, most of which were, in fact, low quality. The course is fantastic, and I highly recommend it to everyone. One of the things I love about the course is that it’s not just a series of video lectures; it includes many code notebooks with detailed explanations, allowing you to learn by coding and engaging, which is the best approach. In order to create a good generative AI app with LLMs, a person should be knowledgeable about various topics, such as effective prompting, choosing the right tools, data collection and curation, working with various modalities, vector databases, query engines, building RAG systems for different needs, creating agents with tools like internet search, understanding various cloud and API providers, working with local LLMs, evaluation methods, deploying efficiently using techniques like quantization and caching, among many other related topics. This course covers ALL of them. Moreover, the support of creators have been great, I noticed a few minor issues in the code examples, which were fixed when I pointed them out!

A highly detailed course that truly turns you into a professional LLM developer. It covers a wide range of topics: data collection, search, re-ranking, chunking, deployment, various techniques and approaches that may work in some cases and not in others. This is exactly what immerses you in real-world challenges, where you’re faced with a task and must find a solution. There’s no perfect or one-size-fits-all answer; every task has its own path. The essence of this course is to provide these different approaches so you can gain hands-on experience and develop an inner intuition, understanding which approach works best for a particular problem. I am grateful to the Towards AI team for delivering such an amazing course. This course has raised me to an even higher level!