Development Environment

A Development Environment is a combination of hardware and software tools used to design, develop, test, and maintain software applications. Coursera's Development Environment catalogue teaches you about the essential tools and best practices for setting up productive and efficient development environments. You'll learn about diverse Integrated Development Environments (IDEs), version control systems, containerization technologies, software testing strategies, debugging techniques, and continuous integration/continuous deployment (CI/CD) pipelines. By understanding these tools and techniques, you'll be able to streamline application development, ensure optimal performance, and adapt quickly to changing requirements and technologies.
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Results for "development environment"

  • Status: New

    Skills you'll gain: Object Oriented Programming (OOP), Java Programming, Java, Development Environment, Computer Programming, Software Design, Integrated Development Environments, Debugging, File Management, Data Structures

  • Status: Preview

    Skills you'll gain: Apple Xcode, Apple iOS, Debugging, iOS Development, Performance Tuning, Swift Programming, Mobile Development Tools, Development Environment, Program Development, Software Testing, Application Performance Management, User Interface (UI)

  • Status: New
    Status: Free Trial

    Skills you'll gain: Restful API, Application Programming Interface (API), Software Testing, JSON, Java, Data Validation, Test Automation, Test Case, Development Environment

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Software Development Tools, Generative AI, Application Development, Development Environment, Code Review

  • Status: New
    Status: Free Trial

    Skills you'll gain: Text Mining, Data Processing, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Unstructured Data, Deep Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Development Environment, Machine Learning

  • Skills you'll gain: Google Gemini, Kubernetes, DevOps, CI/CD, Google Cloud Platform, Infrastructure as Code (IaC), System Design and Implementation, Prompt Engineering Tools, Development Environment

  • Skills you'll gain: Google Gemini, Kubernetes, DevOps, Generative AI Agents, Development Environment, Google Cloud Platform, Infrastructure as Code (IaC), Cloud Management, LLM Application, Application Performance Management

  • Status: New

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment

  • Skills you'll gain: Google Gemini, Kubernetes, DevOps, Development Environment, Google Cloud Platform, CI/CD, Infrastructure as Code (IaC), Generative AI Agents, LLM Application

  • Skills you'll gain: Kubernetes, Google Gemini, DevOps, Google Cloud Platform, Infrastructure as Code (IaC), Cloud-Native Computing, Development Environment, Event Monitoring

  • Status: New

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Integrated Development Environments, Development Environment

  • Status: New

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning, Development Environment, Collaborative Software

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