10 Nov 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
16 Nov 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
17 Nov 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
23 Nov 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Course Price At
10 Nov 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
16 Nov 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
17 Nov 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
23 Nov 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.
Course Price At
comprehensive course offers a blend of theoretical knowledge and practical application, ensuring participants understand the full lifecycle of machine learning models from development to deployment and maintenance. The training covers key MLOps principles such as model versioning, monitoring, and continuous integration/continuous deployment (CI/CD) pipelines. Participants will learn how to streamline the workflow of machine learning projects using popular tools and technologies that facilitate collaboration and efficiency across data science and IT teams.
Led by industry experts, the course includes interactive sessions that simulate real-world scenarios, where trainees can apply their learning to solve practical problems. This hands-on approach helps in solidifying the concepts and techniques taught, making them immediately applicable in professional settings.
The program is suitable for data scientists, ML engineers, software developers, and IT professionals who wish to enhance their expertise in managing and operationalizing machine learning models. By the end of this training, participants will be equipped with the necessary skills to implement and manage robust MLOps strategies, driving efficiency and innovation in their organizations.
MLOps training teaches the skills needed to efficiently manage machine learning operations, focusing on automating and streamlining the machine learning lifecycle. It covers deploying, monitoring, and maintaining ML models, ensuring they perform optimally and integrate seamlessly with existing IT environments. The training also emphasizes collaboration and continuous improvement in ML projects.
Here are the key objectives of the MLOps training:
The target audience for MLOps training includes:
Multisoft Virtual Academy offer a certification upon completion of the course, which can be beneficial for professional recognition and career advancement.
Yes, Multisoft Virtual Academy offer online MLOps courses that you can attend from anywhere, providing flexibility to fit your schedule.
MLOps training enhances your ability to deploy, monitor, and maintain machine learning models efficiently, increases collaboration among teams, and improves your skills in automation and best practices in machine learning operations.
Participants will learn about the lifecycle of machine learning models including development, deployment, and maintenance. The course covers model versioning, monitoring, automation with CI/CD pipelines, and the use of tools to enhance collaboration and efficiency.
To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number +91 8130666206