What is the key feature of generative AI in SDLC?

Its ability to generate human-like code and documentation on demand, making development faster, more consistent, and less prone to human error.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Foundations of Generative AI in SDLC Training

Foundations of Generative AI in SDLC Training

本课程是 AI-Powered Software Development Certification 专项课程的一部分

位教师：Priyanka Mehta

包含在 Coursera Plus 中

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2个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Understand the fundamentals of Generative AI and LLMs
Learn how prompt engineering shapes AI responses
Explore key elements of effective prompt design
Watch a hands-on ChatGPT demo for multilingual reviews

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要了解的详细信息

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积累特定领域的专业知识

本课程是 AI-Powered Software Development Certification 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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获得对主题或工具的基础理解
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该课程共有2个模块

This beginner-friendly course covers the fundamentals of Generative AI in SDLC and its impact on software development. Explore key concepts like large language models (LLMs), prompt engineering, and human-AI interaction. Learn to craft effective prompts and watch demos using ChatGPT for multilingual review management. Build custom GPTs for Python debugging and UI design, explore top GenAI tools across the SDLC, and create a food ordering app. The course also highlights a real-world Accenture use case.

Basic programming knowledge and familiarity with software development concepts are recommended. By the end of this course, you will be able to: - Understand Generative AI, LLMs, and prompt engineering - Design effective prompts and use ChatGPT in workflows - Build and deploy custom GPTs for dev and design tasks - Use Generative AI tools across the software lifecycle - Apply GenAI in real-world development scenarios Ideal for developers, software engineers, and AI learners.

Explore the fundamentals of Generative AI in SDLC and its role in transforming human-machine interaction. This course covers core concepts, including Generative AI, large language models (LLMs), and the power of prompt engineering. Learn how prompts guide AI outputs, explore key components of effective prompts, and watch a hands-on demo using ChatGPT to manage multilingual reviews through smart prompt design.

涵盖的内容

7个视频1篇阅读材料3个作业1个插件

7个视频总计37分钟

Learning Objectives1分钟
Introduction to Generative AI5分钟
Generative AI and LLM6分钟
What is a Prompt?4分钟
How Prompts Work?4分钟
Important Components of a Prompt: Example8分钟
Demo: Translating and Managing Multillingual Reviews with Prompts in ChatGPT5分钟

1篇阅读材料总计10分钟

Course Syllabus10分钟

3个作业总计70分钟

Quiz on Understanding The Next Frontier: Generative AI15分钟
Quiz on Humanizing Gen AI: The Role of Prompts in Interaction15分钟
Assessment for Generative AI Fundamentals and Interaction40分钟

1个插件总计15分钟

Explaining Generative AI, LLMs, and Prompts15分钟

Explore how Generative AI is reshaping software development. Understand GPT models used for writing, productivity, and coding. Learn to create custom GPTs for debugging and design tasks. Discover top Generative AI tools across the SDLC, analyze real-world use cases like Accenture, and build a food ordering app using AI tools. Gain practical insights to apply GenAI across development workflows.

涵盖的内容

10个视频3个作业1个插件

10个视频总计64分钟

ChatGPT Models and Categories4分钟
Writing, Productivity, and Programming GPTs3分钟
Demo: Creating a Custom GPT for Troubleshooting Python E-Commerce Applications7分钟
Demo: Creating a Website Design Using DesignerGPT5分钟
Generative AI in the Software Development Lifecycle (SDLC)11分钟
Top Generative AI Software Developement Tools8分钟
Impact of Generative AI in Software Development2分钟
Use Case on Accenture2分钟
Demo: Creating a Food Ordering Application Using Generative AI Tools15分钟
Key Takeaways2分钟

3个作业总计70分钟

Quiz on GPT in Practice: Everyday Solutions15分钟
Quiz on Software Development: The Generative AI Way 15分钟
Assessment for Generative AI in Software Development40分钟

1个插件总计15分钟

Applying Generative AI in Real-World Software Development Scenarios15分钟

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Priyanka Mehta

Simplilearn

62 门课程25,804 名学生

提供方

Simplilearn

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常见问题

Generative AI in SDLC refers to using AI models like GPT to automate tasks across the software development lifecycle such as code generation, testing, documentation, and bug fixing in improving speed, quality, and efficiency.

It streamlines development by generating code, writing test cases, fixing bugs, and assisting in design and documentation, reducing manual effort and accelerating delivery.

In 2025, generative AI is transforming teams into AI-augmented units, with tools that co-write code, handle repetitive tasks, and offer real-time suggestions—boosting productivity and enabling faster innovation.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.