AI-Assisted Software Engineering

The rapid pace of AI code generation offers immense productivity gains, but integrating it effectively requires a solid engineering workflow. This course equips you with the essential practices to leverage AI for coding while ensuring your projects remain high-quality, maintainable, and scalable. By completing this course, you will gain the confidence to integrate AI into your development process, transforming generated code into reliable, production-ready software you can confidently ship and support. What you'll learn: * Understand the foundational concepts of AI-assisted software development and its practical applications. * Apply test-driven development (TDD) principles to validate and refine AI-generated code effectively. * Implement essential software design patterns to create maintainable and scalable applications. * Practice prompt engineering techniques to guide AI models for accurate and relevant code generation. * Master code review, debugging, and refactoring strategies for AI-produced codebases. * Configure an efficient development workflow that integrates AI tools while emphasizing code quality and maintainability. This course begins with core terminology and foundational concepts, then progresses through practical application of testing, design patterns, and strategic AI integration. You will read clear explanations and work through practical exercises to solidify your understanding. This course is designed for aspiring software engineers, developers, and anyone new to programming who wants to understand and apply modern AI-driven development practices. No prior experience with AI or advanced programming concepts is required. Start building high-quality software with the power of AI today.