课程详情
Machine Learning Operations (MLOps) is a fast-growing domain the field of AI. As more models are deployed in production, the need for a structured, agile, end-to-end ML lifecycle with automation has grown multifold. MLOps provides structure to machine learning projects and help them succeed over the long run. In this course, instructor Kumaran Ponnambalam focuses on the key concepts of MLOps and helps you apply these concepts to your day-to-day ML work. Kumaran introduces you to the machine learning life cycle and explains unique challenges with ML, as well as important definitions and principles. He walks you through the requirements and design for ML projects, then dives into data processing and management. Kumaran explains various tools and technologies that you can use in the automation and management of continuous training. He covers best practices for model management, then offers detailed instruction on continuous integration.
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Japkeerat Singh
Japkeerat Singh
I help companies make $$$ by developing AI-centric Products // Machine Learning / MLOps / LLM / RAG
内容
课程内容
- 边学边练 1 个练习文件
- 知识测验 6 个测验
- 随时随地学习 可在平板电脑和手机上访问
- 了解最新知识 继续教育单元
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