David Chan
GBDeepAtlas: Cultivating a Community that Catalyzes Collective Excellence As an experienced Software Engineer, my decision to delve into ML stems from a desire to be at the forefront of the AI revolution, to not just witness but actively participate in shaping the future. With the proliferation of LLMs, the boundaries of what is possible with ML have expanded exponentially. While I had dabbled in self-teaching, I yearned for a more structured and supportive environment to accelerate my growth. There is simply too much to absorb alone, and missteps exploring this space is time consuming. DeepAtlas provided crucial guidance, making my learning journey remarkably efficient and effective. What truly set DeepAtlas apart was its vibrant community, brimming with like-minded individuals passionate about machine learning. Engaging in discussions, collaborating on projects, and receiving guidance from seasoned mentors created a nurturing environment. While I have a long way to go, I feel DeepAtlas provided me a roadmap and the much needed confidence to continue my journey from here.
customer
GBExcellent staff Excellent staff, well organized and encouraging.
Jesus
GBThe ML Bootcamp I was looking for I learned practical skills that allow me to jumpstart a ML career. After this course I'm able to have conversations with Data Scientists and am confidently working on a side project with my peers.
Nick
GBGet on the ML Rocket Ship If becoming an ML engineer is landing on the moon, Deep Atlas is the rocket ship that breaks you through the earth's atmosphere. The 2 weeks are a radical SHORTCUT to your learning journey. This gets you up to speed in the most engaging, powerful way. I came in with 0 ML knowledge, and I'm already working on ML projects at work and building ML side projects!
Mark
GBJust the catch-up I needed I attended Deep Atlas because I felt like the software industry has started to go in a new direction, and I'd noticed conversations about ML and AI happening at work that I wasn't able to keep up with. Coming away from the class after two weeks, I felt ready to engage with a whole range of ML and AI topics. The class delivered on its promises for me, and I feel capable of both practical ML engineering and fighting my way through AI white-papers (e.g. "Attention Is All You Need") to learn more. Hugging Face now feels more like a useful library of tools than a pile of enigmatic repos! Deep Atlas was a big fast-forward for my learning. I might have eventually gotten there on my own, but it's hard to say how long (and how much effort) that might have taken. Learning everything in a condensed period was effective and honestly quite fun!