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: Free

    Skills you'll gain: Amazon Web Services, Artificial Intelligence, Integrated Development Environments, Software Development Tools, Microsoft Visual Studio, Debugging, Development Environment, Vulnerability Scanning, Software Development, Web Applications, TypeScript

  • Status: Preview

    École Polytechnique Fédérale de Lausanne

    Skills you'll gain: Scala Programming, Data Validation, Object Oriented Programming (OOP), Build Tools, Verification And Validation, Debugging, Software Design Patterns, Development Environment, Business Logic, Software Testing, Unit Testing, Data Structures, Data Modeling

  • Status: Free

    Skills you'll gain: Software Documentation, Generative AI, Debugging, ChatGPT, Development Environment, Python Programming, Prompt Engineering, Computer Programming, Software Development, Application Development

  • Skills you'll gain: Prompt Engineering, Generative AI, Development Environment, Computational Thinking, Program Development, Software Development, Python Programming, Game Design, Debugging

  • Status: New

    Skills you'll gain: Amazon DynamoDB, Amazon Web Services, NoSQL, Database Management, Database Design, Development Environment, Command-Line Interface, Application Programming Interface (API), Software Development Tools, Performance Tuning, Data Structures, Scalability

  • Status: Preview

    Skills you'll gain: LLM Application, Application Development, Application Design, User Interface (UI), Development Environment, Cloud Applications, Interactive Design, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Application Deployment, Python Programming, Open Source Technology

  • Skills you'll gain: Application Programming Interface (API), Web Development, Development Environment, Restful API, Web Applications, Hypertext Markup Language (HTML), GitHub, Data Structures

  • Status: Free Trial

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Data Transformation, Development Environment, Distributed Computing, Build Tools, Regression Analysis, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Apache Kafka, Apache Spark, Scala Programming, Real Time Data, Apache Hadoop, Apache Cassandra, Applied Machine Learning, Big Data, Data Processing, Application Deployment, Distributed Computing, Development Environment

  • Skills you'll gain: Serverless Computing, Amazon Web Services, AWS CloudFormation, YAML, Cloud Development, Development Environment, Amazon CloudWatch, Email Automation, Restful API, API Gateway, Amazon S3, Amazon DynamoDB, Node.JS, Computer Vision, Software Development, Software Development Tools, Application Deployment, Secure Coding, Microsoft Visual Studio, Debugging

  • Status: New

    Skills you'll gain: Ruby on Rails, Model View Controller, Ruby (Programming Language), Object-Relational Mapping, Test Automation, Restful API, Application Deployment, Web Applications, Web Development, Full-Stack Web Development, Authentications, Development Environment, Data Modeling, Data Validation

  • Status: Free Trial

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Integrated Development Environments

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