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Курс от Simplilearn
courseraПрограммирование
Generative AI for Code Generation Training
Курс от SimplilearnО курсе
This beginner-friendly course explores how Generative AI transforms code generation across the software development lifecycle. Learn to automate code completion, script creation, test cases, documentation, and architecture using tools like GitHub Copilot. Get hands-on with real-world demos building apps, refactoring code, and structuring React projects. Understand the challenges of GenAI, such as quality and adoption, and compare top tools like Copilot, Amazon Q, and ChatGPT through real use cases from Thoughtworks and Accenture. No prior AI knowledge is required. Basic understanding of programming or software development is recommended. By the end of this course, you will be able to: - Use GenAI tools like GitHub Copilot to accelerate coding tasks - Automate script creation, documentation, and test case generation - Refactor legacy code and build structured application architectures - Understand the limitations and challenges of AI in real-world dev environments - Compare and evaluate the performance of leading GenAI coding tools Ideal for developers, software engineers, and tech professionals exploring AI-driven development workflows.
Навыки, которые вы освоите
Программа курса
2 модулей · 27 учебных материалов
01Foundations and Applications of Generative AI in Code Generation18 материалов
Leveraging Generative AI for Code Generation
Course SyllabusЧтениеPhases in Software DevelopmentВидеоAutomated Code Generation (ACG)ВидеоEnhancing Coding Efficiency with Generative AIВидеоУчитесь у экспертов
Priyanka Mehta
Преподаватель курса