This course offers an in-depth exploration of LangChain and its integration with OpenAI and LLAMA 2 for building state-of-the-art LLM applications. Starting with an introduction to LangChain, you’ll learn how to harness its power to create dynamic applications, from simple question-and-answer apps to complex conversational tools. The course covers key concepts such as HuggingFace token generation, environment setup, and how to utilize models, memory, and data connections in LangChain. You’ll then move into projects, such as creating a simple Q&A app, a text-to-SQL query tool, and even a customer care call summary alert system. By the end of the course, you’ll have built 15 diverse LangChain apps, including email generators, HR resume screeners, and data analysis tools, each showcasing LangChain's flexibility and power for building LLM applications. This course also provides a deep dive into essential LangChain modules, such as the prompt module, chains, and agents, equipping you with the skills to develop sophisticated workflows. Additionally, you’ll gain practical experience in integrating and deploying applications using Streamlit, HuggingFace, and Pinecone, ensuring you're well-prepared to tackle real-world projects in AI-driven app development.