Starting at USD 39.00
2 hours duration

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

Gain a comprehensive understanding of Machine Learning Operations (MLOps) in this professional course. Designed for data scientists, engineers, and leaders, this course will equip you with the knowledge and skills necessary to seamlessly transition machine learning models from local notebooks to production-ready systems. Throughout the course, you will delve into the fundamental concepts of MLOps, exploring the different phases involved in MLOps processes and gaining insight into the varying levels of MLOps maturity. Armed with this understanding, you will be well-prepared to implement machine learning continuously, reliably, and efficiently. Additionally, this course will address the challenges of scaling and automating machine learning projects. You will learn how to optimize time and resource allocation, as well as automate processes to minimize manual intervention and enhance model performance. By exploring the core features and associated roles of MLOps, you will develop a solid foundation in this field. Furthermore, you will gain practical knowledge of systems and tools that facilitate the scaling and automation of machine learning operations. Topics covered include feature stores, experiment tracking, CI/CD pipelines, microservices, and containerization. By familiarizing yourself with these key MLOps concepts, you will be equipped to apply them effectively in real-world scenarios.

About Provider

Online Education Provider ยท 410 courses
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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