In today’s fast-evolving software landscape, success increasingly relies on the ability to integrate AI tools strategically throughout the development lifecycle. This course teaches developers how to use generative AI to analyze, enhance, and streamline software workflows.
Using GenAI in Modern Software Development
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Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Identify common approaches for analyzing code and recognizing patterns with AI support
Explain key considerations when evaluating and selecting libraries and frameworks using AI recommendations
Apply prompt-engineering techniques to generate and analyze code with AI tools
Create comprehensive technical documentation using AI outputs, evaluating accuracy and completeness
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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There are 5 modules in this course
In this module, you will be introduced to the foundational concepts of artificial intelligence (AI) and its critical role in software development. You will explore popular AI tools and learn the fundamentals of prompt engineering. Through hands-on exercises, you will gain an understanding of how AI can be integrated into the Software Development Lifecycle (SDLC). Through hands-on exercises, you will apply AI-driven approaches to real-world development tasks, building a strong foundation for advanced AI applications in later modules.
What's included
8 videos4 readings5 assignments1 discussion prompt7 plugins
In this module, you will explore how generative AI tools assist in reviewing, analyzing, and understanding existing codebases. You will learn techniques for using AI to navigate unfamiliar projects, summarize code structures, and analyze logic and dependencies. Through guided exercises and hands-on applications, you will develop skills to efficiently use AI tools for code comprehension and exploration.
What's included
5 videos1 reading4 assignments6 plugins
In this module, you will learn how to use generative AI tools for writing, optimizing, and refining code. You will explore AI-powered code generation, develop effective prompts for coding tasks, and apply AI-assisted techniques for testing and debugging. Through guided activities and real-world applications, you will gain hands-on experience integrating AI into software development workflows to improve efficiency and code quality.
What's included
5 videos1 reading4 assignments1 discussion prompt6 plugins
In this module, you will learn how generative AI tools support the creation, standardization, and optimization of software development documentation. You’ll explore how AI assists in generating technical documentation, streamlining communication between teams, and ensuring consistency across project deliverables. Through hands-on activities, you will practice using AI tools to create clear, concise, and standardized software documentation for real-world development scenarios.
What's included
4 videos1 reading4 assignments1 discussion prompt7 plugins
In this module, you will apply the knowledge and skills gained throughout the course to complete a final project. The project will simulate a real-world scenario where you will use AI tools to tackle software development challenges. You will also complete a final assessment to demonstrate your understanding of the course content. Finally, the module concludes with a reflection on your learning journey and next steps for integrating AI into your software development practice.
What's included
1 video2 readings1 assignment1 peer review2 plugins
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