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.

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Hands-on Learning
Required

Tools
Required

Results for "Application Deployment"

  • Duke University

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, Application Deployment, DevOps, LLM Application, Continuous Integration, Hugging Face, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing

  • University of Michigan

    Skills you'll gain: Django (Web Framework), Ajax, jQuery, Model View Controller, Cascading Style Sheets (CSS), Javascript and jQuery, Hypertext Markup Language (HTML), JSON, HTML and CSS, Linux, Linux Commands, Application Development, Back-End Web Development, Database Application, Web Development, Cloud Deployment, Web Applications, Application Deployment, Javascript, SQL

  • From the course: Coding Data Models with AI·Lesson: Untitled Lesson

  • From the course: Cloud Machine Learning Engineering and MLOps·Lesson: Continuous Delivery for Machine Learning

  • From the course: End to End LLMs with Azure·Lesson: Deployment and Automation

  • 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

  • From the course: Web Applications and Command-Line Tools for Data Engineering·Lesson: Building Containerized Microservices

  • From the course: Cloud Computing Foundations·Lesson: Build Multiple Websites: Static, Serverless, Virtualized, PaaS

  • Skills you'll gain: Kubernetes, Containerization, Docker (Software), DevOps, Microservices, Application Deployment, Vulnerability Scanning, Cloud Computing, Virtual Machines, Cloud Technologies, Software Architecture, Vulnerability Assessments, Information Technology Architecture, Data Architecture, Security Software, Information Architecture, Software Development, Data Storage Technologies, Information Technology, Virtual Environment

  • University of Michigan

    From the course: Developing Full-Stack Applications with JavaScript·Lesson: Lesson 5: Bundlers

  • From the course: End to End LLMs with Azure·Lesson: Deployment and Automation

  • From the course: Operationalizing LLMs on Azure·Lesson: Deployment and scaling with GitHub Actions