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Results for "mlops (apprentissage automatique)"
- 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, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming
Skills you'll gain: Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Methods, Predictive Modeling, System Monitoring, Data Quality
- Status: Free Trial
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Computing, Cloud Applications, Machine Learning Software, GitHub, Application Programming Interface (API)
- Status: New
Skills you'll gain: Exploratory Data Analysis, Data Analysis, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, Predictive Modeling, Data Pipelines, Data Processing
- Status: New
Google Cloud
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Integrated Development Environments, Development Environment
- Status: NewStatus: Free Trial
Skills you'll gain: Amazon Elastic Compute Cloud, Continuous Deployment, Continuous Integration, Debugging
Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Statistical Methods, Predictive Modeling, Responsible AI, Machine Learning, Data Quality, Natural Language Processing
- Status: Free Trial
Duke University
Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, DevOps, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Amazon Web Services, Development Testing, Software Testing, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing
- Status: New
Google Cloud
Skills you'll gain: Jupyter, Google Cloud Platform, MLOps (Machine Learning Operations), Computing Platforms, Machine Learning, Development Environment, Exploratory Data Analysis
- Status: Preview
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Metadata Management, Application Lifecycle Management, PyTorch (Machine Learning Library), Containerization, Scalability
- Status: Free Trial
Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Cloud Computing, Software Versioning, CI/CD, Continuous Monitoring, Debugging, Data Storage, Scalability, Data Quality
- Status: NewStatus: Free Trial
Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Data Pipelines, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption
In summary, here are 10 of our most popular mlops (apprentissage automatique) courses
- MLOps Platforms: Amazon SageMaker and Azure ML:Â Duke University
- MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한êµì–´: Google Cloud
- MLOps Tools: MLflow and Hugging Face:Â Duke University
- AWS Certified Machine Learning - Specialty:Â Pearson
- Utiliser des notebooks dans Vertex AI:Â Google Cloud
- AWS: Model Training , Optimization & Deployment:Â Whizlabs
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - ç®€ä½“ä¸æ–‡: Google Cloud
- Rust Programming:Â Duke University
- Trabalhar com Notebooks na Vertex AI:Â Google Cloud
- ML Pipelines on Google Cloud - Français: Google Cloud