This course begins by introducing foundational concepts of Large Language Models (LLMs) and their applications, focusing on LlamaIndex. You'll set up your development environment and create your first LlamaIndex program, covering essential topics like advanced prompt engineering. As you progress, you'll delve deeper into LlamaIndex functionalities, including formatting prompt templates, designing conversational prompts, and using semantic similarity evaluators. The course also covers language embeddings, vector databases, and integrating LlamaIndex with SQL and Chroma DB vector databases. You'll learn to set up various query pipelines, such as sequential, DAG, and dataframe pipelines, for efficient handling of complex queries. In the final section, you'll apply your knowledge to practical scenarios. You'll build a calculator using a ReAct agent, develop a document agent with dynamically built tools, and construct a code checker with a Streamlit UI. Each module is designed to enhance your skills in creating versatile, AI-driven applications, preparing you to tackle real-world challenges in AI development.