AI-Assisted Code Modernization
Key Takeaways
Demonstrates AI-assisted code modernization techniques for legacy application transformation
Original Description
Launch into application modernization — one of enterprise software's most in-demand specialties — with a portfolio-ready capstone that proves you can run a legacy transformation end to end. Legacy application modernization is one of the most in-demand and rarely well-taught skills in enterprise software development. This course is built for working developers who are new to modernization — no prior experience with legacy systems or refactoring required. You'll learn the professional practices that turn AI assistance into reliable, auditable, production-grade work: structured codebase navigation, disciplined application refactoring, technical-debt reduction, and the five-stage software modernization lifecycle (assess, plan, execute, validate, document). The skills transfer across Java, Python, JavaScript, TypeScript, .NET, COBOL, and mixed-language codebases. Developers, architects, QA leads, DevOps and platform engineers, engineering managers, IT security, and compliance officers each find their role represented, alongside the governance practices that take AI from small pilot to organization-wide use. IBM Bob is the demonstration tool, with hands-on labs in a no-install Coursera environment. The course concludes with a showcase-ready capstone: a complete legacy modernization performed end-to-end on a single codebase.
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