Search result for Mlops Online Courses & Certifications
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MLOps (Machine Learning Operations) Fundamentals
by Google Cloud Training- 4
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Approx. 16 hours to complete
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Welcome to MLOps Fundamentals Why and When do we need MLOps MLOps Architecture and TensorFlow Extended Components...
ML Pipelines on Google Cloud
by Google Cloud Training- 3.7
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Approx. 11 hours to complete
You have completed the MLOps Fundamentals course....
Machine Learning experiments and engineering with DVC
by Mikhail Rozhkov- 4.4
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5 hours on-demand video
Automate machine learning experiments, pipelines and model deployment (CI/CD, MLOps) with Data Version Control (DVC) Online video course to teach basics for Machine Learning experiment management, pipelines automation and CI/CD to deliver ML solution into production. During this course listeners learn engineering approaches in ML around a few practical examples. After this course you will be able to...
$12.99
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
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Approx. 10 hours to complete
In the second course of the Practical Data Science Specialization, you will learn to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines. Week 1: Feature Engineering and Feature Store Course 2 overview...
Проектирование и реализация систем машинного обучения
- 0.0
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Approx. 58 hours to complete
Модель машинного обучения, обученная с высокой точностью — это хорошо, но не достаточно. Чтобы полностью раскрыть ее потенциал и начать решать с ее помощью реальные задачи, необходимо провести дополнительную работу по запуску модели в виде какого-то сервиса. В эту работу входит проектирование системы обработки данных, создание инфраструктуры для этой системы, оптимизация работы модели и последующий анализ работы полученного сервиса....
Machine Learning Engineering for Production (MLOps) | Coursera
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This Specialization consists of four courses. At the rate of 5 hours a week, it typically takes 3 weeks to complete the first course, 4 weeks to complete the second, 6 weeks to complete the third, and 4 weeks to complete the fourth. It typically takes about 4 months to complete the entire Specialization....
MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure ...
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Standards and principles on which MLOps is based upon. MLOps tools stack and MLOps platforms comparisons....
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Top MLOps Courses Online - Updated [November 2021] | Udemy
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Featured course. Testing and Monitoring Machine Learning Model Deployments. ML testing strategies, shadow deployments, production model monitoring and more. By Christopher Samiullah and 1 other. Updated October 2021. 8. 5 total hours93 lecturesIntermediate. Rating: 4. 5 out of 5. 4. 5. 264 reviews....
MLOps Certification Training Course Online | DevOpsSchool
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This MLOps course is a program which tackles the subject of deploying the Machine Learning models in production and at scale. Our MLOps course will help you to learn - best MLOps tools, techniques, and practices for deploying, evaluating, monitoring and operating production ML systems end-to-end....
The 4 Best MLOps Courses and Online Training for 2021
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TITLE: MLOps (Machine Learning Operations) Fundamentals OUR TAKE: Offered by Google Cloud, this 100 percent online training features flexible deadlines on intermediate-level subject matter. Platform: Coursera Description: This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML ....
Cloud Machine Learning Engineering and MLOps | Coursera
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Finally, you will dive into emerging topics in Machine Learning including MLOps, Edge Machine Learning and AI APIs. This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering....
