Application Deployment

Application Deployment is the process of making a software application available for use. This involves installation, configuration, testing, and optimizing performance across various environments and systems. Coursera's Application Deployment catalogue provides you with the knowledge to successfully deploy, manage, and scale applications. You'll learn about deployment models, methodologies, automation tools, and best practices. Moreover, you'll get to understand key concepts including continuous integration, continuous deployment (CI/CD), containerization, and cloud deployment. These skills are valuable for software engineers, DevOps professionals, system administrators, and anyone seeking to enhance their understanding of application deployment.
156credentials
518courses

Results for "application deployment"

  • Skills you'll gain: CI/CD, Cloud Hosting, Cloud Storage, Continuous Deployment, Google Cloud Platform, Cloud Development, Cloud Services, Application Deployment, Web Development, Web Development Tools, Web Applications

  • Skills you'll gain: Shiny (R Package), User Interface (UI), Data Visualization Software, Interactive Data Visualization, Application Deployment, Web Applications, Data Analysis, Front-End Web Development, Back-End Web Development, Spatial Data Analysis, Web Development, Full-Stack Web Development, Python Programming, Application Development, Development Environment

  • Status: Free Trial

    LearnKartS

    Skills you'll gain: Amazon CloudWatch, Serverless Computing, CI/CD, Amazon Elastic Compute Cloud, Infrastructure as Code (IaC), Load Balancing, Continuous Deployment, DevOps, AWS Identity and Access Management (IAM), AWS CloudFormation, Cloud Management, Cloud Hosting, Amazon S3, System Monitoring, Application Deployment, API Gateway, Scalability, Enterprise Application Management, Cloud Applications, Cloud Security

  • Skills you'll gain: No-Code Development, Application Deployment, Google Cloud Platform, Cloud Applications, Google Workspace, Product Automation, Application Design

  • Skills you'll gain: Application Deployment, API Gateway, Cloud API, Application Programming Interface (API), Virtual Environment, Multi-Tenant Cloud Environments, Cloud Hosting, Google Cloud Platform

  • Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

  • Skills you'll gain: Kubernetes, Cloud Management, Docker (Software), Microservices, Application Deployment, Containerization, Cloud Computing, Google Cloud Platform, Network Analysis

  • Status: Free

    Skills you'll gain: Redis, Terraform, Infrastructure as Code (IaC), Scalability, Google Cloud Platform, Patch Management, Microservices, Kubernetes, Application Deployment, Data Migration, Release Management

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API

  • Status: New
    Status: Free Trial

    Skills you'll gain: Application Deployment, CI/CD, Containerization, Development Environment, Development Testing, Amazon Web Services, AWS CloudFormation, Unit Testing, Kubernetes, API Gateway, Software Development Tools, Cloud Development, Application Programming Interface (API), Software Development, Configuration Management

  • Status: Free Trial

    Skills you'll gain: Microsoft Power Platform, ChatGPT, No-Code Development, Microsoft Teams, Performance Analysis, Business Process Automation, Customer Engagement, Natural Language Processing, Application Deployment

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Feature Engineering, Data Pipelines, Google Cloud Platform, Deep Learning, Data Processing, Artificial Neural Networks, Application Deployment, Data Transformation, Scalability, Machine Learning, Application Programming Interface (API)

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