GenAI for Software Developers
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Program
GenAI for Software Developers
This program equips software developers with practical skills to integrate generative AI tools like GitHub Copilot and ChatGPT across the software development lifecycle to enhance productivity, code quality, and delivery speed.
Self-Paced
Mentored
Intermediate
Duration
3 months
3-4 hours/week
Generative AI is rapidly reshaping how software is designed, built, tested, and maintained. Developers who can effectively integrate AI into their workflows are increasingly valued as organizations look to improve productivity, code quality, and delivery speed.
In this Generative AI for Software Developers program, you will explore how generative AI tools such as GitHub Copilot and ChatGPT can be applied across the software development lifecycle. You will learn advanced prompt engineering techniques and examine how AI supports tasks including code generation, debugging, testing, API development, database optimization, and modernization of existing systems.
As you progress through the program, you will work with real-world development scenarios that span front-end, back-end, and database layers. Through hands-on labs and applied projects, you will practice integrating AI into collaborative workflows and full-stack environments using industry-standard tools and platforms.
Designed for experienced software developers and technical professionals, this GenAI for Software Development program focuses on practical, job-relevant applications of generative AI. It equips you with the skills needed to confidently apply AI in modern software development and prepares you to contribute to AI-enhanced engineering teams.
This Program comprises 3 purposely designed courses that take you on a carefully defined tangible learning path.
It is a self-paced program, which means it isn’t run to a fixed schedule with regard to completing courses or submitting assignments. To give you an idea of how long the program takes to complete, it is anticipated that if you work 3-4 hours per week, you will complete the program in 3 months. However, as long as the program is completed before the end date, you can work at your own pace. The materials for each course module will become available when you start the particular course.
You can choose to enroll for the complete certification program in one go, or sign up for individual courses one at a time. Each course that you complete will take you a step closer to acquiring the Certificate. And it’s worth noting that some courses may also qualify for other learning paths.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.
Once you have successfully completed the program, you will earn your Certificate of Completion.
You will be able to:
- Gain future-ready AI prompt engineering skills to enhance software development and real-world problem-solving.
- Ways developers can integrate GitHub Copilot and ChatGPT into full-stack workflows and collaborative team environments.
- Apply AI tools for automated code generation, testing, debugging, and quality assurance.
- Design and implement intelligent solutions for API development, database optimization, and modernizing legacy systems.
- Software developers (junior to senior)
- Technical leads & architects
- Engineering managers
- QA / DevOps engineers
- CS students & early-career developers
- At least 2 years of software development experience
Program Outline
Master the use of generative AI to analyze code, streamline workflows, and accelerate development. Gain hands-on experience with tools like GitHub Copilot and ChatGPT to improve coding practices and documentation.
Topic Covered:
Introduction to Software Development Using AI
Code Understanding and Analysis
Code Generation Fundamentals
Documentation and Communication for Software Development
You can choose to enroll for this individual course. Click here to see course details.
Learn to use generative AI to improve your software development process. Master how to apply AI tools for debugging, testing, refactoring, and code translation.
Topic Covered:
Designing and Developing Code with AI
Debugging and Problem Solving with AI
Testing and Refactoring with AI
Translating and Migrating Code with AI
You can choose to enroll for this individual course. Click here to see course details.
Master the integration of generative AI in software development, leveraging tools like GitHub Copilot and ChatGPT. Learn how to enhance efficiency, improve code quality, design AI-driven APIs, and build full stack applications.
Topic Covered:
Advanced Solution Design
AI for Scalable, Secure, and Optimized Software Systems
AI-Assisted Full-Stack Integration
Building Team AI Workflows
You can choose to enroll for this individual course. Click here to see course details.
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
The Generative AI for Software Developers program helps you apply prompt engineering and AI tools like GitHub Copilot and ChatGPT across real software development workflows. You’ll focus on practical use cases such as automated coding, testing, debugging, API development, and database optimization.
This Generative AI for Software Developers program is designed for software engineers, full-stack developers, and technical leads who already have development experience and want to integrate generative AI into everyday engineering tasks.
Unlike broad AI courses, this Generative AI for Software Development program is built around hands-on software engineering scenarios. It emphasizes real codebases, AI-assisted workflows, and end-to-end development rather than theory-heavy AI concepts.
After completion, you earn a shareable program certificate, validating your newly learned skills to the employers.
Yes, after finishing the Generative AI for Software Developers program, you’ll be better prepared to pursue external Generative AI Certifications designed for professional software developers.
Yes, the hands-on projects and applied labs directly support a Generative AI for Software Development Skill Certificate by demonstrating your ability to use AI tools across the full software development lifecycle.
You’ll work on applied projects involving AI-assisted code generation, automated testing, database optimization, and collaborative development workflows using modern IDEs and AI orchestration tools.
By completing the Generative AI for Software Developers program, you build a strong portfolio of AI-enhanced development practices that support career advancement and prepare you for advanced roles or future generative AI certification pathways.
Type of certificate
Certificate of Completion
About this program
03 Courses
15 Skills
Includes
Discussion Space
19 Hands-on labs
12 Graded quizzes
12 Practice quizzes
03 Projects
03 Final exam
Create
Prompts to Generate Code Snippets
Sample Document Using AI
Key-Value Pairs to Repeated JSON Objects
Multi-step prompt for solving a complex software problem.
Exercises to explore
AI Prompting Practice
Summarize an Open-Source Codebase
Analysis of a Code Function
Standardize an Existing Documentation Template
Analyze the Root Cause of a Software Issue
Propose Solutions for a Complex Development Issue
Enhance the Structure of a Python File
Analyze Test Coverage Reports and Generate Missing Test Cases
Translate JavaScript to Python
AI to Optimize the Performance of a Provided API
AI tools to Debug Software,Review Code and Analyze & Optimize a Team Workflow
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