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Foundations of Generative AI in SDLC Training

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Foundations of Generative AI in SDLC Training

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Gain insight into a topic and learn the fundamentals.
4.4

22 reviews

Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.4

22 reviews

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

Details to know

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Assessments

6 assignments

Taught in English

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 40 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•8 minutes
1 reading•Total 10 minutes
  • Course Syllabus•10 minutes
3 assignments•Total 70 minutes
  • Assessment for Generative AI Fundamentals and Interaction•40 minutes
  • Quiz on Understanding The Next Frontier: Generative AI•15 minutes
  • Quiz on Humanizing Gen AI: The Role of Prompts in Interaction•15 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•3 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
  • Assessment for Generative AI in Software Development•40 minutes
  • Quiz on GPT in Practice: Everyday Solutions•15 minutes
  • Quiz on Software Development: The Generative AI Way •15 minutes

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Instructor

Instructor ratings
4.8 (8 ratings)
Simplilearn
87 Courses•77,899 learners

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KA
·

Reviewed on Apr 22, 2026

Learnt lot of new tools and development processes, Every developer should know these Generative AI tools

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.

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

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.

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.

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.

Financial aid available,