Foundations of Generative AI in SDLC Training

Übersicht

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.

Lehrplan

• Generative AI Fundamentals and Interaction
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.
• Generative AI in Software Development
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.

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Unterrichtet von

Priyanka Mehta

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Fachgebiete

Computer Science