
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.

Jason
GBMy 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.

customer
GBExcellent staff Excellent staff, well organized and encouraging.

Jonathan Yuen
GBDeep Atlas Experience I had an interest in ML/AI ever since chatGPT and midjourney came out, but never really knew where or how to start. As someone who learned software engineering from a coding bootcamp ~6 years ago, Deep Atlas really appealed to me as a immersive crash course to a subject that really interested me. Looking back now, I'd say it proved to be an invaluable experience for me particularly due to my hands-on learning style, and what I especially appreciated was how Deep Atlas curated it's curriculum. It eliminated a lot of the more overwhelming tasks of sifting through all the information out there on my own. Instead, I was able to dive straight into practical, real-world applications that were of interest to me. The lectures were also really concise and the staff did an amazing job of making sure everybody understood the core concepts before moving on. My original goal was simply to satisfy my curiosity and see whether I could gain the skills and knowledge to build an AI passion project of my own. Not only was I able to accomplish this, I truly believe that I can leverage this knowledge and skillset to further advance my career in the AI/ML space.

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.