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.

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


Instructors: Starweaver
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What you'll learn
Explain where generative AI fits across the software development lifecycle, from requirements to deployment.
Apply AI tools for app development such as GitHub Copilot to accelerate coding, testing, and documentation.
Use AI-driven analysis to improve API design, database structure, performance, and application security.
Develop and deploy complete solutions through effective AI for application development integration.
Skills you'll gain
Tools you'll learn
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August 2026
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There are 4 modules in this course
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Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.




