AI for Application Development: End-to-End AI Workflow

О курсе

Generative AI is transforming how software is designed, built, tested, and deployed, becoming an essential tool for developers, engineers, architects, and technology leaders. Rather than replacing human expertise, AI for application development enhances productivity by accelerating workflows, improving code quality, and automating repetitive tasks. This course provides a practical, end-to-end journey through the software development lifecycle, showing how AI can be integrated into coding, documentation, testing, DevOps, and deployment. Learners begin with AI-assisted coding using AI tools for app development such as GitHub Copilot, along with prompt engineering and code generation, before exploring AI-powered requirements analysis, API development, database design, and documentation. The course then covers AI-driven testing, bug detection, performance optimization, and security, followed by DevOps automation, Infrastructure as Code, CI/CD, monitoring, and incident response. Through hands-on labs, quizzes, discussions, and a capstone project, learners gain practical experience building AI apps and applying AI across real development workflows. Designed for developers, QA engineers, DevOps professionals, and architects with basic programming knowledge, this four-hour AI for application development course equips learners to confidently integrate generative AI into software engineering while balancing innovation with responsible human oversight.

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Starweaver

Global Leaders in Professional & Technology Education

Scott Cosentino

Software Engineer