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.
涵盖的内容
8个视频4篇阅读材料5个作业1个讨论话题7个插件
显示有关单元内容的信息
8个视频•总计35分钟
Welcome to Software Development Using AI•4分钟
What is Generative AI?•3分钟
Popular AI Tools in Software Development•5分钟
Exploring AI Tools in Software Development•4分钟
Basics of Prompt Engineering•5分钟
Crafting Effective Prompts•3分钟
Role of AI in the SDLC•5分钟
Applying AI Tools Across Software Development Phases•5分钟
4篇阅读材料•总计11分钟
Specialization Overview•4分钟
Course Overview •1分钟
How to Succeed in This Course•2分钟
Module Summary: Introduction to Software Development Using AI•4分钟
5个作业•总计61分钟
Graded Quiz: Introduction to Software Development Using AI •21分钟
Introduction to Artificial Intelligence (AI) in Software Development•10分钟
Overview of AI Development Tools•10分钟
Practice Quiz: Introduction to Prompt Engineering•10分钟
AI in the Software Development Lifecycle•10分钟
1个讨论话题•总计10分钟
Reflect on how AI can enhance your software development process•10分钟
7个插件•总计53分钟
Reading: Helpful Tools and Resources •5分钟
Reading: History and Evolution of AI in Software Development•4分钟
Reading: Introduction to Key AI Concepts for Developers•3分钟
Reading: Introduction to AI Development Tools•3分钟
Reading: Introduction to Prompt Engineering for Software Development•3分钟
Lab: AI Prompting Practice•30分钟
Reading: Key Considerations for Integrating AI into Development Processes•5分钟
Code Understanding and Analysis
第 2 单元•小时 后完成
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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.
涵盖的内容
5个视频1篇阅读材料4个作业6个插件
显示有关单元内容的信息
5个视频•总计22分钟
AI in Code Analysis•4分钟
Navigating Codebases with AI•6分钟
AI and Codebase Visualization•4分钟
Understanding AI in Code Analysis•4分钟
Using AI to Trace Variables and Fix Bugs•5分钟
1篇阅读材料•总计3分钟
Module Summary: Code Understanding and Analysis•3分钟
4个作业•总计48分钟
Graded Quiz: Code Understanding and Analysis•24分钟
Introduction to AI-Powered Code Analysis •8分钟
Understanding Existing Codebases with AI•8分钟
Analyzing Code Logic and Functionalities with AI •8分钟
6个插件•总计64分钟
Reading: Preparing Code for AI Analysis•4分钟
Reading: Exploring Large Codebases with AI•3分钟
Reading: How AI Identifies Key Components, Entry Points, and Dependencies•3分钟
Lab: Use AI to Summarize an Open-Source Codebase •25分钟
Reading: Understanding Functions, Variables, and Interactions with AI•4分钟
Lab: AI Analysis of a Code Function•25分钟
Code Generation Fundamentals
第 3 单元•小时 后完成
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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.
涵盖的内容
5个视频1篇阅读材料4个作业1个讨论话题6个插件
显示有关单元内容的信息
5个视频•总计34分钟
Introduction to AI-Powered Code Generation•7分钟
Capabilities of AI in Code Generation•7分钟
Crafting Effective Prompts for Code Generation•7分钟
How Prompts Influence AI-Generated Code•8分钟
Step-by-Step Guide to Debugging Code with AI•5分钟
1篇阅读材料•总计4分钟
Module Summary: Code Generation Fundamentals•4分钟
4个作业•总计49分钟
Graded Quiz: Code Generation Fundamentals•21分钟
Fundamentals of AI-Powered Code Generation•10分钟
Prompt Engineering for Code Generation•10分钟
Fundamentals of Testing and Debugging Using AI•8分钟
1个讨论话题•总计15分钟
Reflect on how AI can streamline your coding workflows•15分钟
6个插件•总计46分钟
Reading: Common Use Cases for AI Code Generation•4分钟
Reading: Examples of AI Prompts for Coding Tasks•4分钟
Reading: Best Practices for Writing AI Prompts•4分钟
Lab: Write AI Prompts to Generate Code Snippets•25分钟
Reading: Using AI for Testing and Debugging•4分钟
Reading: AI in Testing and Debugging – Methods and Best Practices•5分钟
Documentation and Communication for Software Development
第 4 单元•小时 后完成
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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.
涵盖的内容
4个视频1篇阅读材料4个作业1个讨论话题7个插件
显示有关单元内容的信息
4个视频•总计29分钟
Introduction to AI-Generated Documentation•7分钟
AI Tools for Enforcing Documentation Standards•7分钟
AI for Team Communication & Knowledge Sharing•8分钟
Using AI Tools to Enhance Team Communication•7分钟
1篇阅读材料•总计4分钟
Module Summary: Documentation and Communication for Software Development•4分钟
4个作业•总计49分钟
Graded Quiz: Documentation and Communication for Software Development•21分钟
Generating Technical Documentation with AI•10分钟
Standardizing Project Documentation•8分钟
Enhancing Team Communication with AI•10分钟
1个讨论话题•总计2分钟
Reflect on how AI can improve documentation and communication in your software projects•2分钟
7个插件•总计80分钟
Reading: Key Elements of Technical Documentation•5分钟
Reading: Best Practices for AI-Assisted Documentation•3分钟
Lab: Generate a Sample Document Using AI•30分钟
Reading: Importance of Standardization in Software Documentation•4分钟
Reading: Frameworks for Consistent Documentation•4分钟
Lab: Use AI to Standardize an Existing Documentation Template•30分钟
Reading: AI Tools for Enhancing Developer Communication•4分钟
Course Quiz, Project, and Wrap-up
第 5 单元•小时 后完成
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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.
涵盖的内容
1个视频2篇阅读材料1个作业1次同伴评审2个插件
显示有关单元内容的信息
1个视频•总计5分钟
Course Summary•5分钟
2篇阅读材料•总计4分钟
Congratulations and Next Steps•3分钟
Thanks from the Course Team •1分钟
1个作业•总计60分钟
Graded Quiz: Using GenAI in Modern Software Development•60分钟
1次同伴评审•总计30分钟
Final Project: Submission and Evaluation•30分钟
2个插件•总计70分钟
Final Project: AI-Powered Code Review and Documentation for a Software Project•60分钟
Glossary: Using GenAI in Modern Software Development•10分钟
In a world marked by relentless evolution, versatility, adaptability, and interdisciplinary skills are key to thriving professionally. At SkillUp, we focus on designing outcome-driven skill-development programs that transform lives and careers worldwide.
Whether it’s landing your first job, advancing in your career, mastering efficiency in your role, or making breakthroughs in diverse careers, our courses equip you with the skills and confidence to set you up to hit the ground running.
Combining sound instructional design, engaging multimedia, and real-world problem-solving, we create learning journeys that build knowledge step by step. We present learners with open-ended, real-world problems that help them apply acquired knowledge as they progress through their learning journey. This also allows learners to develop critical thinking, problem-solving, and collaborative skills.
Our courses, specializations, professional certificates, and virtual and blended learning programs help learners and organizations upskill on the world’s latest technologies, functional domains, and human skills.
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
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.