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学生对 IBM 提供的 Generative AI: Elevate your Software Development Career 的评价和反馈

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236 个评分

课程概述

Generative AI (GenAI) is now an essential skill for software developers keen to future-proof their careers. This course gives existing and aspiring developers the job-ready skills employers are looking for to build intelligent, adaptive, and secure solutions. You'll learn how to harness generative AI for code generation, software design, bug detection, testing, optimization, and documentation. You'll also explore how AI integrates into DevSecOps and continuous integration and continuous deployment (CI/CD) pipelines, supports translation, review, and security, and strengthens software delivery. You’ll examine large language models (LLMs), natural language processing (NLP), and prompt engineering to gain insight into how to use these technologies effectively. Plus, you’ll look at agentic AI and retrieval-augmented generation (RAG) for extending autonomy, and you’ll get hands-on with vibe coding tools and practices that transform how developers interact with code. You’ll also consider ethical and responsible AI practices to ensure you innovate responsibly. If you’re keen to leverage GenAI to build software faster and better so you can power your career forward, enroll today!...

热门审阅

BY

Oct 21, 2024

The course was somewhat difficult to follow due to the AI voice implemented.

AU

Apr 14, 2024

The Best ever explanation and the best ever course I have taken till date.

筛选依据：

51 - Generative AI: Elevate your Software Development Career 的 53 个评论（共 53 个）

创建者 Tim H

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Oct 11, 2024

Labs do not always work and I found the material to be very terse

创建者 RATHI M M

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Nov 13, 2024

cdsc

创建者 Nikolai

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Feb 7, 2026

A complete waste of time. I expected to learn something new and valuable for my work, but it was all theory and basic prompt creation. There was no real value. It would have been much better if the course had focused on one tool and explained how to use it in a real world project - including best practices, drawbacks, and practical insights. Instead, it briefly mentioned many tools without going into depth. It seems like the authors have no real experience with any of them.