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The MLOps course provides a comprehensive introduction to the integration of machine learning with DevOps practices to optimize the end-to-end ML lifecycle. Participants will explore essential concepts and techniques for managing data, developing and training models, and deploying them into production environments. The course emphasizes continuous integration and continuous deployment (CI/CD) to automate workflows, ensuring scalable, reliable, and efficient model operations. Learners will gain hands-on experience with industry-leading tools and frameworks, along with insights into model monitoring, maintenance, governance, and compliance. By understanding and applying MLOps principles, participants will be equipped to streamline their machine learning projects, enhance collaboration across teams, and effectively address real-world challenges in deploying and managing ML models at scale.
Offered by 360Digi6.3 hrsEnglishCourse instructor with 18+ years of Industry Experience
The MLOps course provides a comprehensive introduction to the integration of machine learning with DevOps practices to optimize the end-to-end ML lifecycle. Participants will explore essential concepts and techniques for managing data, developing and training models, and deploying them into production environments. The course emphasizes continuous integration and continuous deployment (CI/CD) to automate workflows, ensuring scalable, reliable, and efficient model operations. Learners will gain hands-on experience with industry-leading tools and frameworks, along with insights into model monitoring, maintenance, governance, and compliance. By understanding and applying MLOps principles, participants will be equipped to streamline their machine learning projects, enhance collaboration across teams, and effectively address real-world challenges in deploying and managing ML models at scale.
Data Science
Certification
