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

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Foundations of Generative AI in SDLC Training

This course is part of AI-Powered Software Development Certification Specialization

Instructor: Priyanka Mehta

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the AI-Powered Software Development Certification Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

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.

What's included

7 videos1 reading3 assignments

7 videos Total 37 minutes

Learning Objectives 2 minutes
Introduction to Generative AI 5 minutes
Generative AI and LLM 7 minutes
What is a Prompt? 4 minutes
How Prompts Work? 5 minutes
Important Components of a Prompt: Example 9 minutes
Demo: Translating and Managing Multillingual Reviews with Prompts in ChatGPT 6 minutes

1 reading Total 10 minutes

Course Syllabus 10 minutes

3 assignments Total 70 minutes

Quiz on Understanding The Next Frontier: Generative AI 15 minutes
Quiz on Humanizing Gen AI: The Role of Prompts in Interaction 15 minutes
Assessment for Generative AI Fundamentals and Interaction 40 minutes

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.

What's included

10 videos3 assignments

10 videos Total 65 minutes

ChatGPT Models and Categories 5 minutes
Writing, Productivity, and Programming GPTs 3 minutes
Demo: Creating a Custom GPT for Troubleshooting Python E-Commerce Applications 8 minutes
Demo: Creating a Website Design Using DesignerGPT 5 minutes
Generative AI in the Software Development Lifecycle (SDLC) 11 minutes
Top Generative AI Software Developement Tools 8 minutes
Impact of Generative AI in Software Development 2 minutes
Use Case on Accenture 3 minutes
Demo: Creating a Food Ordering Application Using Generative AI Tools 16 minutes
Key Takeaways 3 minutes

3 assignments Total 70 minutes

Quiz on GPT in Practice: Everyday Solutions 15 minutes
Quiz on Software Development: The Generative AI Way 15 minutes
Assessment for Generative AI in Software Development 40 minutes

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Instructor

Priyanka Mehta

Simplilearn

79 Courses 57,799 learners

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Frequently asked questions

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.