Generative AI Skills for Software Developers
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Course
Generative AI Skills for Software Developers
Build software faster and smarter with generative AI. Master the tools that automate coding, design, and debugging—skills every modern developer now needs.
Self-Paced
Mentored
Intermediate
Duration
AI is rapidly transforming software development, enabling engineers to build faster, smarter, and more reliable applications. Understanding how to apply AI across the software development lifecycle is becoming an essential skill for modern developers.
In this course, you will learn how AI influences software development workflows and how to set up an environment for working with AI tools and ChatGPT. You will explore large language models (LLMs), transformers, and natural language processing (NLP), and apply these concepts to build an AI-powered chatbot.
As you progress, you will examine best practices for using AI in technical design and software architecture. You will see how AI assists with code generation, bug detection, troubleshooting, and documentation, and learn how to leverage AI to create static websites and architecture diagrams.
You will then explore how AI enhances DevSecOps, software testing, and CI/CD practices. You will work with AI-driven approaches for software security, test-case generation, and workflow integration, while also examining key ethical considerations. Practical examples and prompts will help you apply AI effectively across development and DevOps tasks.
Overall, this course is a perfect starting point for developers who are planning to build AI skills to automate their day-to-day work.
This course comprises three purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 17 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
After completing this course, you will be able to:
- Explain generative AI fundamentals and its use in software development.
- Generate code, scripts, and prototypes using AI tools.
- Train and fine-tune generative AI models for development tasks.
- Apply AI for design, debugging, refactoring, and optimization.
- Address ethical issues in AI-driven development.
- Build and evaluate AI-powered software solutions.
- Software developers or programmers who want to integrate generative AI into their work.
- Tech professionals aiming to automate coding, testing, and DevOps using AI tools.
- Learners with basic programming and software process knowledge seeking to enhance productivity with AI.
- Knowledge of software processes and programming language is required.
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 introduces you to generative AI skills for software development, showing how to leverage AI-powered tools and models to automate tasks like code generation, bug detection, testing, and software optimization. Youll also learn how to use LLMs, NLP, and transformers for chatbot development and AI-driven architecture design.
The course is designed for software developers, engineers, and technical professionals who want to understand and apply generative AI for software development. If youre looking to stay competitive in the modern development environment, this program is a strong fit.
Yes. Since this is a Gen AI developer course, youll need a working knowledge of programming languages and software processes to get the most out of the labs, projects, and AI workflows.
Youll work with generative AI tools for software development, including ChatGPT, LLMs, and other AI models. Youll also explore how transformers and NLP techniques apply to coding, bug detection, and chatbot development.
Generative AI automates repetitive coding tasks, generates architecture diagrams, and suggests design patterns. This allows developers to speed up coding, reduce errors, and focus more on innovation and problem-solving.
Yes. This Generative AI Skills for Software Developers course demonstrates how AI generates functional code snippets, test cases for specific use cases, and even static websites and architecture diagrams to accelerate the development lifecycle.
AI models help detect bugs early in the workflow by scanning code, predicting error-prone areas, and suggesting fixes. This reduces manual debugging time and increases software quality.
Yes. Youll learn how to build a chatbot using LLMs and natural language processing (NLP), gaining hands-on experience with prompts and transformer-based architectures.
The course explains how Gen AI for software development enhances CI/CD workflows, supports automated test generation, strengthens software security, and improves DevSecOps practices by predicting and mitigating risks.
AI-powered models can detect vulnerabilities, automate code reviews, and suggest optimizations that improve software performance while ensuring security across the development pipeline.
Yes. Youll complete practice labs and a final project that applies AI for code generation, software testing, and DevSecOps to real-world scenarios, demonstrating your skills as a Gen AI developer.
The course addresses the responsible use of AI, ethical coding practices, bias in AI-generated solutions, and guidelines for integrating AI into software workflows without compromising fairness or security.
By working with generative AI tools for software development, youll practice applying AI to debugging, optimization, testing, and deployment. This prepares you to integrate AI directly into your daily development environment.
Completing this Gen AI developer course proves you can apply AI-driven approaches to software design, testing, and deployment. These in-demand skills set you apart and help you stay relevant in the era of AI-driven software development.
Type of certificate
IBM Certificate
About this course
03 Modules
06 Skills
Includes
Discussion space
11 Hands-on labs
04 Practice quizzes
02 Graded quizzes
01 Final project
01 Final exam
Create
OpenAI Account
Basic Chatbot using ChatGPT
Database Design with ChatGPT
Test-cases for Specific Use-case
Exercises to explore
Generative AI Classroom
Write a Dockerfile for a Node App Deployment
Software Documentation
Code Translation
Review Code
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