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Beginnt 7 June 2026 08:21

Endet 7 June 2026

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GenAI for Software Developers

Master AI-powered development with GitHub Copilot and ChatGPT to boost productivity, streamline workflows, and enhance code quality across full-stack applications.
via Coursera

2889 Kurse


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Optionales Upgrade verfügbar

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Lernen Sie in Ihrem eigenen Tempo

Paid Course

Optionales Upgrade verfügbar

Übersicht

In today’s fast-changing tech landscape, developers who can effectively integrate AI into their workflows are in high demand. This specialization equips experienced software professionals with practical, job-ready skills to boost productivity, streamline development, and improve code quality using tools like GitHub Copilot and ChatGPT.

Through three hands-on courses, you’ll learn how to:

Apply advanced prompt engineering to support AI-assisted coding, refactoring, and debugging Analyze full-stack applications with AI-powered support across front-end, back-end, and database layers Describe how to automate tasks such as testing, documentation, and API integration using AI tools Explain how AI assists developers to design scalable development workflows for collaborative teams Unlike generic AI courses, this program focuses on real-world software development use cases. You'll work with industry-standard tools like Visual Studio Code, explore multi-layer systems, and build projects that reflect the full software development lifecycle—from initial design to deployment.

By the end of the program, you’ll have a portfolio of AI-enhanced strategies that enhance your ability to improve team performance and deliver high-quality software at scale. Ideal for software engineers, full-stack developers, and technical leads looking to stay ahead in a rapidly evolving industry, this specialization gives you the skills to lead the next wave of AI-enhanced development.

Lehrplan

  • Course 1: Using GenAI in Modern Software Development
  • Course 2: GenAI-Assisted Development and Code Quality
  • Course 3: Advanced GenAI Development Practices

Unterrichtet von

Kasie Pardi and Paul Pardi


Fachgebiete

Computer Science