Building AI Applications from Concept to Deployment

The shift toward AI-first development is creating a new standard for software engineering and technical entrepreneurship. This course provides a clear path for developers and technical founders to transition from traditional coding to building applications that leverage large language models and intelligent data processing. You will move from initial concept through technical implementation to a live production environment. What you'll learn: Understand foundational AI terminology and application architecture; Apply prompt engineering techniques to improve model responses; Integrate Retrieval-Augmented Generation (RAG) for data-rich applications; Learn the role of vector databases in modern AI stacks; Practice deployment strategies for scalable AI services; Configure basic observability to track model performance and costs. The content begins with essential definitions and logic before moving into structured implementation and deployment practices. This course is designed for beginners and technical founders who want to understand the modern AI development lifecycle. No previous AI or machine learning background is necessary. Gain the skills to launch your own AI-powered solutions.