SuperDataScience Reviews 102

Built an actual digital twin! The tutorials and clear and step by step, with challenges along that way to help review and preview content!

Kirill and SDS have been in the game of teaching Data Science and AI skills for over a decade: I know, I was one of their students very early on.

What made this challenge so much different/better was the structure and the community. I feel like for the first time in a while, I have had fun writing code every single day, learned a tremendous amount about how LLMs work and how to work with them, and I've been smiling at the progress I'm making daily.

Perhaps more importantly, I am 100% more confident in my ability to build with AI. If you're reading this, and you're on the fence about joining, take my word for it: this course will transform how you understand AI, and make you better at whatever it is you do for work, and maybe for life too!

What made your experience great?
Having no idea about what AI engineering is, prior to joining this course and now after completing Week 5 Day 5, my confidence level is great.
Chewing bite size of lessons each day is a great way to acquire the skills. That really helped.
Kirill's way of explaining concepts is so easy to understand, which is a real skill.
This course is for all (Someone new to IT, Experienced programmers, Non IT individuals). Everyone will love it.

What is this company doing well?
The concept of completing the program and get your money back is very unique and I haven't seen many companies doing it this way.

This experience is a great hands-on beginner for anyone who wants to start or has some experience

Awesome and structured program that made me reignite my passion for AI Engineering with LLMs and start building my portfolio and website.

What I really like about this program is the ability to build a real AI application with end to end guidance including deploying it and not just writing code. Also, the byte size videos are super helpful to follow. And community platform is incredible to get various thoughts and ideas as well as keeping the motivation.

Great for solid foundations and hands on experience

Ths is genuinely one of the best AI skills earning community, the format is amazing the content is worth it.

I wanted to learn more about AI and developing workflows. As a non-coder, I didn't realize the depth of this engineering course. Through the past five weeks I've learned how to use python, to develop actual working programs, and most important how to structure thinking - all in the 60 minute increments. Follow along, you'll learn through experience and then start thinking how to apply it to your work.

I've been wanting to properly understand how AI works beneath the surface, not just use the tools, and this course finally delivered that. The structure kept me moving forward without feeling lost or overwhelmed at any point. What I appreciated most was the hands-on project. Having something real to show at the end, something I could actually deploy and share publicly, made the whole experience worth it. Genuinely one of the better learning investments I've made. Highly recommend to anyone serious about AI engineering.

This program exceeded my expectations

Going into the cohort I did not think the project would be as thorough as I had hoped but it covered a lot more detail than I expected. Thanks to SDS, I have built something that I can proudly showcase to recruiters while also give me ideas for other personal projects to improve my portfolio

If you're looking for a course that actually teaches you AI rather than just talking about it, SuperDataScience delivers. The content is broken into daily modules and short videos, making it easy to fit learning into a busy schedule without feeling overwhelmed. Every section is packed with hands-on exercises that keep you engaged and help the concepts actually stick.
The course delves into various AI engines and concepts, covering everything thoroughly while remaining approachable. Whenever I got stuck, the community was right there to help — troubleshooting together made the tough moments much less frustrating.
What really sets this course apart is the weekly Zoom meetups. Getting to check in, ask questions, and connect with fellow learners in real time adds a level of accountability and energy that most online courses completely lack.
Structured, practical, supportive, and genuinely fun — this course is the real deal. Highly recommend!

If you're a developer trying to make a real move into AI engineering, the Super Data Science AI Engineer Challenge is worth your time.

Kirill Eremenko teaches with an energy that makes the material stick — engaging, clear, and genuinely fun without sacrificing depth. The lessons cover exactly what matters for production AI work: RAG pipeline design, LLM API integration, semantic search, agentic tool-calling, and deployment.

Mentors Adrian Chira and Mike Kofoed are the kind of support you hope for and rarely get. Technically sharp, patient, and empathetic — they helped the whole cohort level up while keeping the environment warm and collaborative. The community that developed around the program reflected that: curious, enthusiastic engineers who were excited to build together.

The capstone project is a production-deployed RAG agent — an AI Digital Twin hosted on Hugging Face Spaces that answers natural language questions about your professional background and lets anyone inspect the files behind it. It's the kind of completed, live project that actually moves the needle when you're interviewing for AI Engineer roles.

For the first time, I have a real AI project to show. That's largely thanks to Super Data Science, and I'm grateful for it. Definitely recommend!

Convenient with online, schedule and organized nicely

This course was the perfect cadence for learning. The Bite Sized daily chunks helped with learning and not being overwhelmed.

chunk sized videos for a complex topic with excellent instructions make it feel very doable. stick with it - you will feel powerful ! They even have speed control on the videos if you need to speed it up or slow it down. And great community support ! Good luck enjoying learning AI Engineering without getting overwhelmed and meeting cool people and building your very own Digital Twin ! teaches you to think about yourself too. cheers, m

I've been a long term listener of the SDS Podcast and came across this AI Challenge through one of the episodes. My motivation was to get my hands dirty and build a real AI app, and SuperDataScience's AI Challenge helped me achieve that goal in a short period. It was an incredible learning experience with weekly interactions with the members from diverse backgrounds which was an added bonus. In just 5 weeks, I built strong fundamentals across AI, RAG, Context management, Tools, HF spaces and much more, and with confidence I can say that the AI Challenge sets the groundwork to explore new ideas and POC's at my workplace. The short videos rather than 20 or 30 minute long ed-tech videos helped me pace myself better in the weeks where I had a real time-crunch.
While the dice roll tool simplifies our understanding of the behavior of the chatbot, it could be upgraded to something different and more practical since the idea was to expose the Digital Twin to the public. We could also explore multiple GPT models with multiple modalities which I hope we will touch up on in the later weeks. Overall a great experience with the course, and looking forward to finish the next week/s of the course as well.

Everything the environment and working with all the professionals and I really miss the weekly check-in meetings , The overall AI challenge was professional designed and i have learned a lot thank you Kirill best trainer I ever met :)

I'm currently taking the AI Engineer course (RAG & Agentic AI) at SuperDataScience, and it has been an outstanding experience from the start.

Kirill brings a genuine passion to every lesson that makes even complex topics feel engaging and approachable. The weekly check-ins are a fantastic structure, they keep me accountable and moving forward consistently.

What truly sets this course apart, though, is the community. Hearing about fellow students' challenges and the creative workarounds they've discovered has been just as valuable as the course content itself. The students in this program are remarkably invested and inventive, and that energy is contagious.

Most of all, I love the "we're in this together" atmosphere. It doesn't feel like a solo grind, it feels like a collaborative journey with people who genuinely want each other to succeed.

Highly recommend this course to anyone serious about breaking into AI engineering.