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

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Extract, Transform, Load, Pandas (Python Package), Data Transformation, SQL, Jupyter, Google Cloud Platform, Development Environment, Analytics, Cloud Storage

  • Status: New

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

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

  • 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, 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: 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

  • 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), Development Environment, CI/CD, Cloud Management

  • Status: New

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

  • Status: New

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

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