LLM Driven Development: Building AI Applications with Large Language Models

As Large Language Models reshape the software landscape, the ability to integrate AI into applications has become a vital skill for modern developers. Understanding how to interact with and orchestrate these models is the key to building the next generation of software. This course takes you from understanding basic model mechanics to building functional AI-driven systems. You will learn how to move beyond simple chat interfaces to create structured, reliable, and context-aware applications that solve real-world problems. What you'll learn: - Understand the core architecture and essential terminology of Large Language Models. - Master prompt engineering techniques to elicit precise and structured outputs from AI. - Implement Retrieval-Augmented Generation (RAG) using vector databases for context-aware responses. - Apply orchestration patterns to connect models with external data sources and tools. - Evaluate model performance and output quality using systematic testing and modern metrics. - Practice building secure and scalable AI workflows designed for production environments. The curriculum starts with foundational concepts of generative AI and model behavior before moving into practical implementation strategies for integrating intelligence into your software stack. Through written explanations and code examples, you will explore the full lifecycle of an AI-driven project. This course is designed for beginners and developers new to the field of AI engineering. No prior experience with machine learning or data science is required to begin. Start your journey into AI development and learn to build intelligent, model-driven applications today.