Upcoming Batches for MLOps Certification Course Online
Course Description
Our MLOps Certification course is created to focus on important topics in machine learning operations, which helps you become an expert in deploying and managing ML models efficiently. This online MLOps course will help you build expertise in training, deploying, scaling, and monitoring the performance of your machine learning model in production. Join us to become a successful MLOps Engineer!
Prerequisite
To excel in MLOps, one must know programming languages like Python, understand ML algorithms, be familiar with deployment tools like Docker and Kubernetes, and be knowledgeable about cloud platforms.
Who should take this course?
This course is well-suited for programmers, developers, data analysts, statisticians, data scientists, and software engineers.
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This MLOps training program offers a thorough guide on how to deploy, monitor, and manage machine learning models. Participants will acquire a deep understanding of MLOps concepts, SDLC methodologies, and model management tasks, and they will learn how to effectively use version control systems, package ML models, and create ML applications with cutting-edge tools. Practical sessions will enhance their learning experience, delving into areas like CI/CD implementation, Docker, Kubernetes, and model monitoring.
The course will also cover the utilization of cloud platforms such as Amazon SageMaker and Azure Machine Learning Studio for ML development and deployment. Moreover, participants will tackle post-deployment issues such as model integrity and adversarial attacks, gaining valuable insights into model evaluation and risk management strategies.
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The MLOps Course is a comprehensive program that covers a wide range of topics, including the significance of deploying, monitoring, and managing machine learning models in real-world scenarios, as well as MLOps concepts, SDLC methodologies, and model management practices.
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The aim of MLOps is to close the gap between data scientists and IT teams, ensuring speedy, reliable, and scalable deployment of machine learning models.
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The system requirements for this MLOps Course includes:
- A laptop or desktop computer with a minimum of 8 GB RAM with Intel Core-i3 and above processor.
- Stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.
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Practicals for this course will be implemented using various tools and detailed step-by-step installation guidesfor these tools are available on the LMS. In case you come across any doubt, the 24*7 support teams will promptly assist you.
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Edureka provides lifetime access to the course content. You can come back any time if you want to brush up your knowledge.