courses
MLOps 개념
중급숙련도 수준
업데이트됨 2025. 12.TheoryMachine Learning216 videos46 exercises2,950 XP39,698성과 증명서
수천 개의 회사에서 학습자들에게 사랑받는 제품입니다.
2명 이상을 교육하시나요?
DataCamp for Business 사용해 보세요강좌 설명
필수 조건
Understanding Machine LearningUnderstanding Data Engineering1
Introduction to MLOps
First, you’ll learn about the core features of MLOps. You’ll explore the machine learning lifecycle, its phases, and the roles associated with MLOps processes.
2
Design and Development
Next, you’ll learn about the design and development phase in the machine learning lifecycle. You’ll explore added value estimation, data quality, feature stores, and experiment tracking.
3
Deploying Machine Learning into Production
In this chapter, you’ll dive into the concepts relevant to deploying machine learning into production, such as runtime environments, containerization, CI/CD pipelines, and deployment strategies.
4
Maintaining Machine Learning in Production
Finally, you’ll learn about maintaining machine learning in production, with concepts such as statistical and computational monitoring, retraining, different levels of MLOps maturity, and tools that can be used within the machine learning lifecycle to simplify processes.