Using GenAI in Modern Software Development
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Using GenAI in Modern Software Development
This course is part of GenAI for Software Developers Specialization
Instructors: Kasie Pardi
Included with
Recommended experience
Recommended experience
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
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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 5 modules in this course
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.
Building on foundational coding and AI concepts, you’ll learn to use generative AI as both a decision-making aid and a practical coding assistant. The course emphasizes real-world applications, guiding you to analyze unfamiliar code, evaluate frameworks, and create documentation with the support of AI tools. Through hands-on experience with platforms like GitHub Copilot and ChatGPT, you’ll gain the skills to integrate AI tools into everyday development tasks. This course is designed for developers who want to improve coding practices using generative AI tools. By the end of the course, you’ll be equipped to apply AI-powered solutions that elevate your coding practices and development processes. Enroll today to gain valuable, future-ready development insights.
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
8 videos•Total 35 minutes
- Welcome to Software Development Using AI•4 minutes
- What is Generative AI?•3 minutes
- Popular AI Tools in Software Development•5 minutes
- Exploring AI Tools in Software Development•4 minutes
- Basics of Prompt Engineering•5 minutes
- Crafting Effective Prompts•3 minutes
- Role of AI in the SDLC•5 minutes
- Applying AI Tools Across Software Development Phases•5 minutes
4 readings•Total 11 minutes
- Specialization Overview•4 minutes
- Course Overview •1 minute
- How to Succeed in This Course•2 minutes
- Module Summary: Introduction to Software Development Using AI•4 minutes
5 assignments•Total 61 minutes
- Graded Quiz: Introduction to Software Development Using AI •21 minutes
- Introduction to Artificial Intelligence (AI) in Software Development•10 minutes
- Overview of AI Development Tools•10 minutes
- Practice Quiz: Introduction to Prompt Engineering•10 minutes
- AI in the Software Development Lifecycle•10 minutes
1 discussion prompt•Total 10 minutes
- Reflect on how AI can enhance your software development process•10 minutes
7 plugins•Total 53 minutes
- Reading: Helpful Tools and Resources •5 minutes
- Reading: History and Evolution of AI in Software Development•4 minutes
- Reading: Introduction to Key AI Concepts for Developers•3 minutes
- Reading: Introduction to AI Development Tools•3 minutes
- Reading: Introduction to Prompt Engineering for Software Development•3 minutes
- Lab: AI Prompting Practice•30 minutes
- Reading: Key Considerations for Integrating AI into Development Processes•5 minutes
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
5 videos•Total 22 minutes
- AI in Code Analysis•4 minutes
- Navigating Codebases with AI•6 minutes
- AI and Codebase Visualization•4 minutes
- Understanding AI in Code Analysis•4 minutes
- Using AI to Trace Variables and Fix Bugs•5 minutes
1 reading•Total 3 minutes
- Module Summary: Code Understanding and Analysis•3 minutes
4 assignments•Total 48 minutes
- Graded Quiz: Code Understanding and Analysis•24 minutes
- Introduction to AI-Powered Code Analysis •8 minutes
- Understanding Existing Codebases with AI•8 minutes
- Analyzing Code Logic and Functionalities with AI •8 minutes
6 plugins•Total 64 minutes
- Reading: Preparing Code for AI Analysis•4 minutes
- Reading: Exploring Large Codebases with AI•3 minutes
- Reading: How AI Identifies Key Components, Entry Points, and Dependencies•3 minutes
- Lab: Use AI to Summarize an Open-Source Codebase •25 minutes
- Reading: Understanding Functions, Variables, and Interactions with AI•4 minutes
- Lab: AI Analysis of a Code Function•25 minutes
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
5 videos•Total 34 minutes
- Introduction to AI-Powered Code Generation•7 minutes
- Capabilities of AI in Code Generation•7 minutes
- Crafting Effective Prompts for Code Generation•7 minutes
- How Prompts Influence AI-Generated Code•8 minutes
- Step-by-Step Guide to Debugging Code with AI•5 minutes
1 reading•Total 4 minutes
- Module Summary: Code Generation Fundamentals•4 minutes
4 assignments•Total 49 minutes
- Graded Quiz: Code Generation Fundamentals•21 minutes
- Fundamentals of AI-Powered Code Generation•10 minutes
- Prompt Engineering for Code Generation•10 minutes
- Fundamentals of Testing and Debugging Using AI•8 minutes
1 discussion prompt•Total 15 minutes
- Reflect on how AI can streamline your coding workflows•15 minutes
6 plugins•Total 46 minutes
- Reading: Common Use Cases for AI Code Generation•4 minutes
- Reading: Examples of AI Prompts for Coding Tasks•4 minutes
- Reading: Best Practices for Writing AI Prompts•4 minutes
- Lab: Write AI Prompts to Generate Code Snippets•25 minutes
- Reading: Using AI for Testing and Debugging•4 minutes
- Reading: AI in Testing and Debugging – Methods and Best Practices•5 minutes
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
4 videos•Total 29 minutes
- Introduction to AI-Generated Documentation•7 minutes
- AI Tools for Enforcing Documentation Standards•7 minutes
- AI for Team Communication & Knowledge Sharing•8 minutes
- Using AI Tools to Enhance Team Communication•7 minutes
1 reading•Total 4 minutes
- Module Summary: Documentation and Communication for Software Development•4 minutes
4 assignments•Total 49 minutes
- Graded Quiz: Documentation and Communication for Software Development•21 minutes
- Generating Technical Documentation with AI•10 minutes
- Standardizing Project Documentation•8 minutes
- Enhancing Team Communication with AI•10 minutes
1 discussion prompt•Total 2 minutes
- Reflect on how AI can improve documentation and communication in your software projects•2 minutes
7 plugins•Total 80 minutes
- Reading: Key Elements of Technical Documentation•5 minutes
- Reading: Best Practices for AI-Assisted Documentation•3 minutes
- Lab: Generate a Sample Document Using AI•30 minutes
- Reading: Importance of Standardization in Software Documentation•4 minutes
- Reading: Frameworks for Consistent Documentation•4 minutes
- Lab: Use AI to Standardize an Existing Documentation Template•30 minutes
- Reading: AI Tools for Enhancing Developer Communication•4 minutes
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
1 video•Total 5 minutes
- Course Summary•5 minutes
2 readings•Total 4 minutes
- Congratulations and Next Steps•3 minutes
- Thanks from the Course Team •1 minute
1 assignment•Total 60 minutes
- Graded Quiz: Using GenAI in Modern Software Development•60 minutes
1 peer review•Total 30 minutes
- Final Project: Submission and Evaluation•30 minutes
2 plugins•Total 70 minutes
- Final Project: AI-Powered Code Review and Documentation for a Software Project•60 minutes
- Glossary: Using GenAI in Modern Software Development•10 minutes
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