In today’s fast-changing tech landscape, developers who can effectively integrate AI into their workflows are in high demand. This specialization equips experienced software professionals with practical, job-ready skills to boost productivity, streamline development, and improve code quality using tools like GitHub Copilot and ChatGPT.
Through three hands-on courses, you’ll learn how to:
Apply advanced prompt engineering to support AI-assisted coding, refactoring, and debugging
Analyze full-stack applications with AI-powered support across front-end, back-end, and database layers
Describe how to automate tasks such as testing, documentation, and API integration using AI tools
Explain how AI assists developers to design scalable development workflows for collaborative teams
Unlike generic AI courses, this program focuses on real-world software development use cases. You'll work with industry-standard tools like Visual Studio Code, explore multi-layer systems, and build projects that reflect the full software development lifecycle—from initial design to deployment.
By the end of the program, you’ll have a portfolio of AI-enhanced strategies that enhance your ability to improve team performance and deliver high-quality software at scale.
Ideal for software engineers, full-stack developers, and technical leads looking to stay ahead in a rapidly evolving industry, this specialization gives you the skills to lead the next wave of AI-enhanced development.
Applied Learning Project
Throughout this specialization, you'll complete hands-on projects and practical labs that build a comprehensive portfolio of AI-enhanced development work. Projects include analyzing real open-source codebases with AI tools, prompting Ai tools to automated test suites for existing applications, and using AI prompts to optimize database performance.
Each project simulates authentic workplace scenarios, such as debugging complex multi-layer systems, conducting AI-assisted code reviews, and optimizing team development pipelines.
