Best YouTube Channel to Learn MLOPS
Best YouTube Channel to Learn MLOPS
(1) Krish Naik
Krish Naik is a legend in the data science industry who comes from a non-CSE background, making his journey all the more inspiring.
He began his career as a developer and, like many, explored different career paths. He appeared for competitive exams like GATE and UPSC but didn’t succeed there. However, these setbacks helped him discover his true passion—data science.
From that moment on, Krish never looked back. He’s now one of the most trusted mentors in the field of data science and machine learning. His teaching style is simple, practical, and extremely effective, helping thousands of learners build successful careers.
Among his most valuable yet underrated contributions is his MLOps series on YouTube. Despite admitting in an interview that people generally don’t show much interest in learning MLOps, he still uploaded the entire series.
He believed that even if only a few people benefited from it, it would be worthwhile. This selfless attitude reflects his commitment to education. His MLOps series is incredibly detailed and hands-on, covering everything from CI/CD to model deployment and monitoring.
It’s a must-watch for anyone serious about becoming a machine learning engineer. The content bridges the gap between model development and real-world implementation, which is exactly what companies look for today.
Even beginners can follow and implement the concepts with ease. Krish Naik didn’t just teach data science—he made it accessible and career-defining.
(2) CampusX
Similarly, CampusX, founded by Nitish Singh, is another powerhouse in the data science community.
An electrical engineer by background, Nitish’s journey into data science is both impressive and motivating. Despite not having a traditional computer science education, he mastered complex concepts and now shares them with clarity and passion.
He is more than just a content creator—he is a genuine mentor. Nitish is especially known for his insightful videos on MLOps, a critical yet often ignored aspect of ML. In 3–4 detailed videos, he breaks down the need for MLOps in today’s industry.
One standout is his 45-minute analogy that explains, in simple terms, why MLOps is not just useful but necessary. He illustrates how companies today are seeking professionals who can manage the full machine learning lifecycle—from data preprocessing and model building to deployment and monitoring.
Nitish highlights the increasing demand for engineers who understand reliability, scalability, and maintainability, all of which are central to MLOps. His content is packed with real-world examples, and his calm, insightful teaching style makes learning feel effortless.
He doesn’t create content for the sake of views—he genuinely wants learners to succeed. Nitish Singh is undoubtedly an underrated legend in the data science and ML space.
If you’re aiming to master machine learning end-to-end, his videos provide the depth and clarity that most others miss. With mentors like him, the journey into data science becomes both practical and inspiring.
(3) Vikas Das
Hi, I just wanted to mention something I recently found out about — Vikas Das has put up a full MLOps course, and trust me, it’s a goldmine if you are serious about Data Science and wish to become industry-ready. The one thing that makes this course stand out is the fact that he begins absolutely from scratch. I mean, even from Git basics, Docker, DVC (Data Version Control), MLflow, to even fundamental concepts like Object-Oriented Programming,everything is covered.
Every lecture is incredibly detailed, with most being over 2 hours long. There’s even a 3-hour one on creating a full pipeline! And not just the duration — it’s the depth and the simplicity he imparts that really make the content stand out.
What I specifically adore about Vikas Das is that he’s not only a content producer,he’s actually working in the field. So the things he teaches are what’s actually being used in real-life projects. He brings that practical perspective that a lot of other creators tend to miss out on. It’s different from folks like Krish Naik and Nitish Singh ,don’t get me wrong, they’re both great educators and I’ve learned a lot from them too. But because they’re no longer working in the industry full-time, a little of their content does come across as a bit academic or slightly outdated relative to the rapidly changing MLOps world.
All that being said, I actually think it’s a fantastic idea to go through the advanced MLOps course material by Krish and Nitish — they have done a brilliant job setting the stage. But after going through that, sure, skip on over to Vikas Das’ channel. You’ll get that added oomph from someone who’s working on actual problems on a daily basis in production environments.
If you want to level up your skillset and learn how things really work in the world, this course is well worth your time.
Final Conclusion on the Best YouTube Channel to Learn MLOPS
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