A masterclass in distillation Neural networks, fine tuning, hyper parameters, transformers. These were some of the words flying around my feed that I couldn't quite grasp. I tried to learn them on my own, but then I uncovered even more arcane words: vectorization, embeddings, latent space, weights, gradient descent. Deep Atlas put together a masterclass in distillation. From linear algebra to transformers (the architecture that powers LLMs today), there was a crystal clear roadmap, paved with engaging lectures and solidifying real world projects. After the class, I feel ahead of this incoming wave. I’m well equipped to integrate AI into both my work and personal projects, and to continue my self-study at the cutting edge of this rapidly evolving industry.

My DeepAtlas experience I wanted to learn about ML because I was seeing it emerge in both my current job and my side interests and everything seemed to be speeding towards AI features. I'm not sure I would have been able to learn it on my own as I'm the type of person who benefits a lot from course structure and to really understand the core concepts I needed to test my understanding by discussing with others. Having a group of other highly motivated and talented individuals made the pace and the difficult topic so much more manageable, I don't think I could have done it without such an amazing community of students and instructors. I started the course with very basic understanding of neural networks but no understanding of the linear algebra or modern use cases of ML. I now have the skills needed to complete a passion project of mine that before I couldn't even imagine the pieces that needed to be done. Also I have the knowledge now to keep up and understand the AI team at my current company and how they are solving issues or techniques they use for building features. ML is going to become such a valuable skill that will be needed by every engineer and data scientist in the future so I'm thankful I had the opportunity to get ahead of the curve and start my journey into ML now.

Took this course after feeling behind… Took this course after feeling behind on the AI/ML movement. I found having structure and being in a supportive community and cohort more effective than learning by myself. The course was hands on and got us involved with building our own projects from the get go. I found my confidence improving in the subject area after doing the course and feel more able to keep up with industry trends. The course was definitely challenging but well worth it!