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: 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

  • 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, Virtual Machines, Machine Learning, Development Environment, Collaborative Software

  • Skills you'll gain: Google Gemini, Kubernetes, Google Cloud Platform, DevOps, Infrastructure as Code (IaC), Cloud Management, Development Environment, Artificial Intelligence

  • Skills you'll gain: Google Cloud Platform, Cloud Applications, Infrastructure as Code (IaC), Application Deployment, Continuous Deployment, Platform As A Service (PaaS), Application Performance Management, Debugging, Development Environment, Containerization, Serverless Computing

  • Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Application Programming Interface (API), Development Environment, AI Personalization, Generative AI, Persona (User Experience), User Interface (UI), Authentications

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