Generative AI for Bioinformatics Software Dev: Tools & Apps

Welcome to a practical, future-focused course designed for students, researchers, and developers who want to combine the power of Artificial Intelligence with Bioinformatics Software Development.Bioinformatics is rapidly evolving. Modern researchers no longer rely only on ready-made tools they increasingly need custom applications, automated workflows, data dashboards, pipelines, and intelligent assistants that solve specific biological problems. At the same time, Generative AI has changed the way software is built. With the right workflow, you can now design applications faster, write code more efficiently, debug smarter, and turn ideas into real tools in less time.This course brings these two worlds together.Instead of learning only theory, you will learn how to use AI tools such as ChatGPT, Claude and GitHub Copilot to create real bioinformatics software projects from scratch. You will learn how to think like a developer, how to break large ideas into smaller tasks, how to write effective prompts, and how to use AI as a productivity partner while still validating outputs and maintaining scientific accuracy.This is a hands-on, project-based course built around real outcomes.Why This Course Is DifferentMany bioinformatics courses focus only on running existing tools. Many programming courses focus only on generic examples. Many AI courses teach prompting without practical domain use.This course is different because it combines:BioinformaticsAI-assisted codingReal software developmentAutomation workflowsPortfolio-ready projectsCareer and freelancing guidanceYou will not just watch tutorials you will build tools that demonstrate real skills.What You Will LearnYou will start by understanding how Generative AI can be used in software engineering workflows. Y