Advanced GenAI Development Practices
Key Takeaways
Develops advanced GenAI techniques for software development
Original Description
Using AI to streamline your development workflows and tackle complex challenges is essential for staying competitive. In this course, you’ll learn how to integrate advanced generative AI tools into your software development practices to enhance efficiency, improve code quality, and achieve better project outcomes. Building on foundational development and AI concepts, you’ll explore advanced techniques in AI-driven API design, multi-layer integrations, and full-stack application development.
This course emphasizes practical, real-world applications, equipping you with the tools and skills needed to handle complex software projects. Through hands-on experience with platforms such as GitHub Copilot and ChatGPT, you’ll explore AI-driven techniques to construct multi-step prompts and optimize integration across development layers.
By the end of this course, you’ll have the experience to seamlessly integrate AI-powered solutions into your development workflows.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: AI Workflow Automation
View skill →Related Reads
📰
📰
📰
📰
Runway Can’t Win on ‘Best Model’ Anymore. So It Stopped Trying To.
Medium · AI
Ferramentas de IA gratuitas para opções em Portugal (2026)
Dev.to AI
Free AI APIs you can use right now without a credit card
Dev.to · David García
Automated Property Tax Appeal Letters for Homeowners: Earn $500–$2,000/Month with Manus AI
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI