Review Time
It's the people that makes the program great. The staff and the students who take the course are all very interesting people. The staff is very cognizant on feedback, questions and how you feel about the course and will check on you. There are different modes to give your feedback/questions, through the jupyter notebook at the end, retrospective, video interview, checkups on breakout rooms, through discord, etc. They are always looking out on how to improve the program and will listen to you.
I traveled all the way from Europe to attend the DeepAtlas course in person in San Francisco and I think it was totally worth it.The curriculum is thoughtfully designed, delivering meaningful content that provides a solid foundation for anyone looking to break into the ML/AI industry. Considering its length (2 weeks) plus the pre-course (9 to 18 hours), I was a bit worried it would gloss over too many things but I feel I got more than I expected in terms of depth and practical applicability.I now feel genuinely well-equipped to continue exploring and advancing in the ML/AI space on my own, thanks to the clarity and direction this course has provided.Another aspect I wanted to praise was the quality of the staff, they were not only deeply knowledgeable but also highly effective and supportive throughout the program. The environment they fostered made learning both challenging and energising. Lastly, the cohort experience was outstanding. My fellow alumni came from a range of professional backgrounds, and the level of inspiration, collaboration, and shared curiosity made the entire journey all the more rewarding.Highly recommended for anyone serious about entering the world of machine learning and artificial intelligence.
I learned so much and acquired so many amazing new skills that I was able to put into use. AI is changing the world and I cannot think of a better place to get in front of the coming wave of innovation than Deep Atlas. It will revolutionize your career.
With the rapidly-changing tech landscape, I was in search of a way to ensure I was setting myself up for the future, and found myself researching AI and ML boot camps. I was exploring a few options when I noticed that the folks who created Deep Atlas also created the Hack Reactor boot camp, which I attended and absolutely loved, primarily because the teaching was so incredible, well thought out, and relevant. After chatting with the staff for a bit to understand the program, I was all-in, and my expectations were exceeded every step of the way. I left the course with a working understanding (a real understanding, not just “knowing the terms”) of core machine learning and AI concepts. Just today I was chatting with some coworkers in my company’s AI space, and I was following along with everything they said and didn’t even realize how deep the conversation had gotten until about halfway through, suddenly surprised that I was keeping up with no problems. That was quite an amazing realization, and Deep Atlas made it possible.If you’re looking for a way to get up to speed with the current AI/ML landscape and truly understand what it is, how it works, and how it applies to your future job, you can stop looking; this is the course you want. Worth every penny.
You'll go farther faster if you choose Deep Atlas. There is a lot happening in this space for any one person do it all by themselves. You'll experience the subject through a carefully curated curriculum and projects. Do it. Get up to speed so that you can start building!
Incredible experience! As a software engineer, I wanted to gain a solid understanding of AI/ML, especially since building with this technology is becoming essential. I originally joined to learn how to fine-tune an LLM for a RAG project, but I walked away with a strong foundation in modern AI/ML, including shallow learning, deep learning, and leveraging ML effectively. By the end of the program, I could train and fine-tune my own models, but more importantly, I developed a big-picture understanding of how AI/ML fits into software engineering and production systems. Some highlights from my experience: ✅ Built AI agents from scratch ✅ Implemented RAG pipelines (many times!) ✅ Explored fine-tuning techniques like head-tuning & LoRA ✅ Worked with deep learning models, including neural networks ✅ Trained shallow models for classification tasks The biggest takeaway? Learning how to evaluate AI solutions effectively and implement production-ready strategies all while developing an intuition for data, training time, and avoiding unnecessary complexity.
When I first signed up for Deep Atlas, I was an experienced fullstack engineer working on AI software, but I felt like I couldn't reasonably learn AI/ML skills fast enough to keep up with how fast the field is moving. I honestly wasn't sure if getting a master’s or taking endless online courses would help and getting a PhD would take way too long.I took the leap with Deep Atlas because I knew I would learn the most about AI/ML in the shortest amount of time.The experience blew me away. I was amazed by how much care, thought, and energy they put into developing the curriculum and the instruction because it all felt cohesive and practical. The lightning talks also provided an engaging space to learn more and get to know my cohort mates better. I remember being on cloud nine after my lightning talk when my cohort mates brainstormed how we could improve my font pairing project.Looking back, the difference in my AI/ML skills before and after the program is night and day. Before, I would psyche myself out because I thought building AI/ML systems required a PhD. Now, I have a working understanding of the math behind these algorithms and systems. Putting this knowledge into practice, in the month after the program, my cohort mate and I applied what we learned by building a RAG application that uses blog posts from a real e-commerce site, so users can make more informed decisions about what products to purchase.This program has real-world results. Before the end of the program, I signed an offer to be a software engineer at an AI consultancy and was being considered for a Senior ML Engineer position at a Fortune 100 company.If you're wondering if Deep Atlas is worth your time, money, and energy, it is IF you are willing to work hard. You’ll also have fun with exceptional people along the way. It definitely will help you gain a solid foundation in building AI/ML systems.
Deep Atlas met and then passed my expectations! At Google, my new role expects me to understand enough about AI/ML (conceptually as well as practically) to make good judgement calls in adjacent spaces. Without exception, everything taught at Deep Atlas has been applicable within days. Additionally, my own personal interest was also fulfilled; my ML side-project goals are achievable and clear. I also cannot stress enough how amazing the instructors were; their commitment and talent in teaching complex subjects was clear in every lecture and assignment. I was concerned my (frankly) less than stellar math background would be an impediment, but their delightful strategy of metaphors, psychological safety, building from first principles, and pointing us towards additional resources if we wanted to dive deeper made this a non-issue.
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Deep Atlas is a school for experienced technologists to level up in machine learning and artificial intelligence.
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