Results for "Cloud GPU Scheduling"

Coursera
Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Cloud Deployment, Kubernetes, AI Workflows, Model Training, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure

Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Cloud Deployment, Data Infrastructure, Infrastructure As A Service (IaaS), Kubernetes, Cloud Storage, Model Deployment, Hardware Architecture, Data Storage, Model Optimization, Cloud Engineering, Infrastructure Architecture, AI Workflows, Model Training, Computer Hardware, Network Architecture, Network Performance Management, Data Processing, Data Import/Export

Google Cloud

Google Cloud
Skills you'll gain: Dataflow, Apache Kafka, Data Pipelines, Real Time Data, Data Wrangling, Cloud-Based Integration, Extract, Transform, Load, Serverless Computing, Command-Line Interface, Google Cloud Platform, Data Warehousing, Apache Spark, Cloud Engineering, Data Quality, Identity and Access Management, Data Integration, Scripting, Data Cleansing, Data Transformation, Data Processing

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Cloud Deployment, Devops Tools, Data Store, Continuous Deployment

Google Cloud
Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Hardware Architecture, Infrastructure Architecture, Model Optimization, Computer Hardware, Performance Tuning, Cloud Platforms, Computing Platforms, Model Training
What brings you to Coursera today?

University of Pittsburgh
Skills you'll gain: Apache Hadoop, Cloud Computing, Cloud Deployment, Apache Spark, Web Services, Cloud API, Cloud Technologies, Cloud Services, Virtualization and Virtual Machines, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture

Duke University
Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Technologies, Cloud Services, Cloud Hosting, CI/CD, Cloud Platforms, Cloud Computing, Azure DevOps Pipelines, Application Deployment, Cloud Engineering, Software Engineering, Cloud Development, Continuous Delivery, Applied Machine Learning, Cloud API, Machine Learning

Skills you'll gain: Cloud Deployment, Microservices, Cloud-Native Computing, Application Deployment, Amazon CloudWatch, Java Programming, Serverless Computing, Java, Cloud Development, Cloud Platforms, Cloud Computing Architecture, Cloud Applications, Application Frameworks, Spring Framework, Cloud Computing, Distributed Computing, Amazon Web Services, Application Performance Management, Containerization, Application Development

Skills you'll gain: Fine-tuning, Model Optimization, MLOps (Machine Learning Operations), Large Language Modeling, Deep Learning, PyTorch (Machine Learning Library), Model Training, Hugging Face, Transfer Learning, AI Workflows, Debugging, Generative AI, Performance Tuning, Data Pipelines, Model Evaluation, Cloud Computing, Machine Learning, Data Storage Technologies, Data Science, Computer Science

Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Model Evaluation, Computer Vision, Large Language Modeling, Reinforcement Learning, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Optimization, Model Training, Keras (Neural Network Library), Cloud Deployment, Applied Machine Learning, AI Personalization, Recurrent Neural Networks (RNNs), Machine Learning

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, System Programming, Programming Principles, Distributed Computing, C and C++, Performance Tuning, Memory Management, Algorithms, OS Process Management, Program Development, Scalability, Data Sharing, Performance Testing