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Results for "operating hadoop environments"
- Status: Free Trial
Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization, Python Programming
Google Cloud
Skills you'll gain: Kubernetes, Containerization, Google Cloud Platform, Web Servers, Virtual Machines, Virtualization and Virtual Machines
Google Cloud
Skills you'll gain: Amazon Web Services, Amazon S3, Cloud-Based Integration, Data Access, Google Cloud Platform, Cloud API, Data Import/Export, Data Management
Google Cloud
Skills you'll gain: Google Cloud Platform, Interactive Data Visualization, Event Monitoring, Data Engineering, Linux
Google Cloud
Skills you'll gain: Kubernetes, Application Performance Management, YAML, Google Cloud Platform, Real Time Data, Data Analysis
- Status: NewStatus: Preview
Coursera Instructor Network
Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control
In summary, here are 6 of our most popular operating hadoop environments courses
- MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
- Migrate for Anthos: Qwik Start: Google Cloud
- Using BigQuery Omni with AWS: Google Cloud
- Using Elastic Stack to Monitor Google Cloud: Google Cloud
- Datadog: Getting started with the Helm Chart: Google Cloud
- Operationalizing ML Models: MLOps for Scalable AI: Coursera Instructor Network