GenAI-Assisted Development and Code Quality
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Course
GenAI-Assisted Development and Code Quality
Learn to use generative AI to improve your software development process. Master how to apply AI tools for debugging, testing, refactoring, and code translation.
Self-Paced
Mentored
Intermediate
Duration
3-4 hours/week
This course teaches developers how to use generative AI tools to enhance software workflows, optimize code quality, and streamline debugging and testing processes.
Building on foundational coding and AI concepts, you'll learn to use generative AI as both a troubleshooting aid and a quality assurance assistant. The course emphasizes real-world applications, guiding you through tasks such as test case generation, debugging, code translation, and refactoring using generative AI tools.
You'll gain insights into AI-assisted testing, debugging, and code migration while maintaining industry-standard quality and security benchmarks. By the end of the course, youll be equipped to apply AI-powered solutions to optimize your development processes and enhance code quality.
This course comprises five purposely designed modules that take you on a carefully defined learning path.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 3-4 hours per week, you will complete the course in 5 weeks. However, as long as the course is completed before the end date, you can work at your own pace.
The materials for each module will become available when you start the particular module. Methods of learning and assessment will include videos, reading material, online exams questions, and a final peer review assignment.
Once you have successfully completed the course, you will earn your Certificate of Completion.
By the end of this course, you will be able to:
- Edit code and manage version control effectively.
- Design and develop robust software architecture.
- Manage development workflows efficiently.
- Program confidently in Python and JavaScript.
- Design and implement software applications.
- Software developers/engineers with 2+ years experience.
- DevOps/QA engineers looking to improve testing, debugging, and refactoring.
- Anyone interested in AI-driven prompt engineering for development.
- At least 2 years of software development experience
Course Outline
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
This course shows how generative AI tools enhance code accuracy, streamline workflows, and support consistent quality checks across development tasks.
You will learn practical methods for using AI-driven code optimization, intelligent coding assistants, and automated review techniques to refine structure, logic, and maintainability.
The course demonstrates how GenAI developers can support code refactoring, test creation, performance tuning, and the detection of structural issues early in the workflow.
Youll explore how to integrate AI into planning, coding, testing, and documentation, creating seamless development pipelines aligned with modern engineering practices.
AI tools are applied to analyze system patterns, recommend architectural components, and support structured decision-making during application design.
You will practice using AI-powered code generation techniques and translation workflows to migrate codebases, optimize logic, and modernize applications.
Youll build capabilities in prompt engineering, unit testing, code review, debugging with AI, multi-step prompt design, and full-stack development supported by generative AI.
No prior AI background is required. The course introduces essential concepts before moving into advanced GenAI for developers scenarios.
Yes, the course includes a Certificate of Completion upon successful completion of the course, validating your newly acquired skills.
You will learn to build AI-assisted applications, generate test cases automatically, apply AI software testing courses methods, and streamline debugging with AI for real-world development.
GenAI supports developers by reducing manual effort, providing intelligent suggestions, improving testing speed, and enhancing the accuracy of development tasks.
Yes, through AI courses for software testing youll see how generative AI helps generate tests, evaluate code behavior, and support automated validation.
This course includes testing, but it goes further by covering full-stack development, architectural analysis, multi-step reasoning, and integrated GenAI for developers workflows.
An AI coding course online strengthens technical versatility, enabling you to adopt AI-driven development practices that improve productivity and code quality in modern engineering roles.
Type of certificate
IBM Certificate
About this course
05 Modules
05 Skills
Includes
Discussion space
08 Hands-on labs
04 Practice quizzes
04 Graded quizzes
01 Final project
01 Final exam
Create
Key-Value Pairs to Repeated JSON Objects
Exercises to explore
Analyze the Root Cause of a Software Issue
Propose Solutions for a Complex Development Issue
Enhance the Structure of a Python File
Generate Test Cases
Analyze Test Coverage Reports and Generate Missing Test Cases
Translate JavaScript to Python
This course has been created by
Paul Pardi
Subject Matter Expert - Technical content
Kasie Pardi
Subject Matter Expert - Technical content
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