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Machine Learning in Production
Webinar: Machine Learning in Production
Instructor
Kyryl Truskovskyi
👋 I’m Kyryl, a seasoned ML professional and venture fund expert at Georgian, currently based in Canada. With a rich 9-year background in ML, I’ve evolved from hands-on coding to architecting key ML business solutions.
My role at Georgian involves enhancing company valuations and ROI through strategic ML implementation. Here’s what I bring to the table:
- Strategic Insight: Developing ML strategies with company leaders to fuel growth and maximize ROI.
- Practical Solutions: Hands-on in solving complex ML challenges and optimizing production efficiency.
- Team Building: Cultivating high-performing technical teams and refining recruitment processes.
- Investment Acumen: Identifying and nurturing high-potential ML investment opportunities.
Join me to unlock the full potential of ML in your career or business, with practical insights drawn from the heart of the industry!
Students about “Machine Learning in Production”
Testimonials
I really enjoyed the “Machine Learning in Production” course. The lectures were fun, filled with up-to-date material, concise, understandable, and insightful. Also, I liked weekly tutorials, which were very helpful, and I learned a lot from seeing how everything should work and listening to other students’ use cases and questions. Kyryl’s explanations of different concepts and nuances were very clear and to point. Very important is that this course had quite challenging and interesting homeworks, which I think greatly impacted everyone’s knowledge gain. Overall, this is the best MLOps course I’ve seen, and I highly recommend it to anyone interested in this topic.
Maria Ponomarenko
NLP Engineer @ Larus Technologies
Overall, I am incredibly satisfied with the course! I received everything I expected, and even much more. I liked the use of Kubernetes in homework assignments: I never got around to learning it, but during the course, it solved the given tasks very well. The program’s structure is amazing! I like that everything is built around problem-solving and the widely accepted approaches/products that help in solving these problems. I appreciated the Kyryl’s awareness of trends: what everyone is using now, and what is better not to use – such things are unlikely to be explained in classical academic courses. It’s great that the knowledge from the courses can be applied at work. To thoroughly study the course, doing homework is necessary. For some tasks, more than 20 hours per week were needed, so I had to take days off from my main job to finish everything on time. I have gaps in building models, so it would be interesting if a similar course was created for in-depth learning of different models (LLM, CV, etc.).
Roma Slyusarchuk
Staff Software Engineer @ Google
I really enjoyed this course on the machine learning model lifecycle, taught by Kyryl Truskovskyi. It was hands-on, covering everything from data handling to model deployment, with real-life challenges that kept me hooked. The personal feedback and the major project we had to complete were especially rewarding. Big thanks to Kyryl for making it such a valuable experience.
Nazar Shmatko
Founding AI Developer @ Storycraft