MLops Practitioner Training
Our MLOps Training program equips professionals with the skills to seamlessly integrate machine learning (ML) models into real-world production environments. Learn best practices for automating ML workflows, managing models, and scaling AI systems, ensuring efficiency and reliability at every stage of the machine learning lifecycle.
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-by PR Reddy
- 151 Students
- Last updated
Course Description
Our MLOps Training program is designed to empower individuals and organizations with the necessary knowledge and hands-on experience to successfully manage and deploy machine learning models in production. The course covers the entire machine learning lifecycle, from model development to continuous integration and delivery (CI/CD).
Participants will learn essential practices such as version control for models, model monitoring, automated testing, and collaboration between data scientists and DevOps teams. By the end of the training, learners will have the skills to build scalable and maintainable AI systems that ensure consistent performance, security, and efficiency in real-world environments.
Whether you’re a data scientist looking to extend your skills into operations, or an IT professional wanting to implement machine learning models effectively, our MLOps Training provides the knowledge and tools to excel in this rapidly evolving field.
Your Instructors
14 Years Of Extensive Experience In Software Development, Configuration Management, Release Automation And DevOps. Currently Working As A DevOps Architect.