14 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
15 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
21 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
22 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
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14 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
15 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
21 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
22 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Course Price At
Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
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MLOps Fundamentals training by Multisoft Virtual Academy offers a comprehensive overview of Machine Learning Operations (MLOps), a methodology that streamlines the deployment, management, and monitoring of machine learning models. In today's data-driven world, organizations increasingly rely on machine learning models to gain insights, make predictions, and automate decision-making processes. However, effectively operationalizing these models poses significant challenges, from version control and reproducibility to scalability and monitoring. This training equips participants with the essential knowledge and skills to address these challenges and build robust MLOps pipelines. Participants will delve into key concepts such as version control systems, containerization, continuous integration and deployment (CI/CD), model monitoring, and governance. Through hands-on exercises and real-world case studies, learners will understand how to leverage tools like Docker, Kubernetes, Git, and Azure DevOps to implement MLOps best practices. Moreover, the training emphasizes the importance of collaboration between data scientists, developers, and operations teams to foster a culture of agility and innovation. By adopting MLOps principles, organizations can accelerate the time-to-market for machine learning projects, improve model performance, and ensure regulatory compliance.
Whether you're a data scientist, machine learning engineer, or IT professional, this training provides a solid foundation in MLOps principles and techniques. Upon completion, participants will be equipped to effectively deploy, manage, and monitor machine learning models in production environments, driving value and competitive advantage for their organizations.
MLOps Fundamentals Training is a course designed to teach the practices necessary for deploying, managing, and optimizing machine learning models efficiently. It covers automation, monitoring, version control, and integration with IT infrastructure, focusing on improving collaboration between data science and operations teams to enhance ML lifecycle management.
By mastering MLOps fundamentals, you'll be equipped to efficiently deploy, monitor, and manage machine learning models, enhancing your value as a data professional and opening up new career opportunities in AI and ML.
Both online and in-person training options are available, depending on your preference and location.
Yes, participants who successfully complete the training and pass the assessment will receive a certificate of completion from Multisoft Virtual Academy.
While there are no strict prerequisites, a basic understanding of machine learning concepts and familiarity with programming languages such as Python would be beneficial.
To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number +91 8130666206