AI-Assisted Software Development and Modern Workflows

Modern software engineering is evolving rapidly with the integration of AI-assisted development tools. This comprehensive text-based course equips you to harness AI workflows effectively across the entire development lifecycle while preserving high standards of code quality, architecture, and security. What you'll learn: - Understand foundational concepts, terminology, and mechanics of AI-assisted development - Apply structured prompt techniques to generate, refactor, and document clean code - Identify and mitigate security risks, vulnerabilities, and license concerns in AI-assisted code - Design automated testing strategies, unit tests, and debugging workflows with AI support - Establish governance standards, code review protocols, and architectural best practices - Integrate AI-driven quality checks into modern deployment and continuous integration pipelines You will begin with fundamental principles and core terminology before progressing through guided written explanations, code examples, and practical architectural patterns. This course is designed for beginners and developers seeking to incorporate modern AI capabilities into their workflow with no prior AI experience required. Start reading to build reliable, modern software with AI-driven development workflows.