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.
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 
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
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
August 2025
Assessments
6 assignments
Taught in English
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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
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 assignments1 plugin
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 assignments1 plugin
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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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.
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