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"

  • Skills you'll gain: Cloud Applications, Google Cloud Platform, Cloud Storage, Application Development, File Management, Cloud Computing, Cloud Services, Development Environment, Data Management

  • Skills you'll gain: Containerization, Application Deployment, Microservices, Rust (Programming Language), Unit Testing, Cloud Applications, Cloud Platforms, Development Environment, Application Frameworks, Restful API, Algorithms

  • Status: New

    Skills you'll gain: Cross Platform Development, C# (Programming Language), .NET Framework, Performance Tuning, Development Environment, Microsoft Development Tools, Application Security, Debugging

  • 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: 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, Generative AI Agents, Development Environment, Google Cloud Platform, Infrastructure as Code (IaC), Cloud Management, LLM Application, Application Performance Management

  • 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 Cloud Platform, Debugging, Application Performance Management, System Monitoring, Cloud Management, Event Monitoring, Real Time Data, Performance Tuning, Devops Tools, Cloud Applications, Development Environment, Continuous Monitoring, Performance Testing, Operational Databases, Cloud Computing Architecture

  • Status: New

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

  • Status: Preview

    Skills you'll gain: Google Gemini, Prompt Engineering Tools, Google Cloud Platform, Kubernetes, Devops Tools, Cloud Management, Generative AI, Cloud Infrastructure, Development Environment, Software Documentation

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