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学生对 Edureka 提供的 Gen AI for Code Generation for Python 的评价和反馈

4.2
16 个评分

课程概述

The Gen AI for Code Generation for Python course introduces practical techniques for using Generative AI to create Python code efficiently. This course is designed to help learners understand how AI tools can assist in writing everything from simple Python scripts to complete end-to-end applications. You will explore key methods for AI-assisted code generation, apply prompt strategies, and learn how to streamline development using generative models. By the course's conclusion, you will be able to: - Generate code with the help of the Generative AI tool - Implement strategies to design precise prompts for optimal code output - Analyze the quality and efficiency of the generated Python code - Create diverse Python projects using Gen AI's code-generation tools - Create diverse test scenarios using ChatGPT to cover various aspects of software functionality -Generate effective test cases with ChatGPT encompassing different use and potential edge cases -Evaluate the best practices in AI-driven code generation -Practice refining and optimizing generated code for real-world applications This course is tailored for freshers, Python developers, and coding enthusiasts eager to harness the power of Generative AI in their coding journey. Prior experience with Generative AI and Prompt Engineering concepts can provide a beneficial foundation for this course. Embark on a creative journey to enhance your proficiency in generating visually captivating Python code for a wide range of purposes....

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1 - Gen AI for Code Generation for Python 的 6 个评论(共 6 个)

创建者 Darrell M

Apr 10, 2024

Content was well structured and specific to the expressed objectives. Practical hands-on examples were sufficient to supplement theory.

创建者 심근수 심

Oct 20, 2024

다양한 예제를 통해 강의 내용 이해하는데 도움이 되었음

创建者 Devendra S

Aug 6, 2025

nice course for biggners

创建者 Mohammad A K

Feb 12, 2024

incredible

创建者 Rodel J V

Oct 31, 2023

If we could suggest the following: (1) a more formal introduction of each of the prompt engineering techniques for code generation (see Vanderbuilt University's prompt engineering course); (2) coding exercises to put into practice the concepts learned per prompt engineering techniques suggested; (3) expand the course to develop Gen AI for Code Generation for Data Science (based on Python and other Python visualization apps).

创建者 Jorge L B

Sep 17, 2024

ChatGPT es de pago y da muy pocas iteraciones como para seguir el curso correctamente sin tener que comprar el plan plus.