LangChain & LlamaIndex in Production

About this course

Move beyond simple demos. This course focuses on the practical challenges and solutions for deploying LLM-powered applications using the leading orchestration frameworks: LangChain and LlamaIndex. We'll explore how to effectively connect LLMs with external data sources, manage complex agentic workflows, and ensure reliability and scalability in a production environment. You'll learn to leverage these tools to build sophisticated applications, such as RAG systems that access your company's knowledge base, agents that interact with APIs, and complex reasoning chains. We'll cover best practices for structuring your code, handling errors gracefully, and optimizing performance for real-world latency and throughput requirements. This isn't just about chaining calls; it's about building robust, maintainable LLM applications. We'll tackle common production issues like prompt injection vulnerabilities, managing state in agents, and integrating with vector databases. By the end, you'll be equipped to develop and deploy sophisticated LLM solutions that deliver tangible business value.