[UDM] Advanced LangChain Techniques: Mastering RAG Applications Course (Jul 2024) + Resources

Take Your LangChain Skills to the Next Level
Learn the methods that drive the modern AI application and unlock the full potential of large language models. The Advanced LangChain Techniques: Mastering RAG Applications Course will explore more of the higher-level concepts of LangChain and Retrieval-Augmented Generation (RAG), and it will take you beyond the simple examples to the more practical, production-ready solutions. You will get to know how to create smart systems that will retrieve knowledge that is relevant, how to process it efficiently, and get precise and meaningful responses. Using LangChain as a framework, you are going to get a glimpse into the inner workings of pipelines, context retrieval, reranking, and query optimization – and you will be able to control how your AI thinks and reasons.

Explore Advanced RAG and LangChain Workflows
You will begin with the basics, covering the fundamental elements of LangChain Expression Language (LCEL) and Runnables, and then explore more advanced features of custom chunking, embeddings, and vector indexing. You will also experiment with cross-encoder reranking, create intelligent data pipelines, and coordinate complicated multi-agent systems with tool-calling behavior. Through the structured and practical projects, you will understand thoroughly how to tie the sources of data, how to customize prompts, and how to maximize each step of your retrieval and creation process.

Build Reliable and Safe AI Systems
In addition to functionality, the fundamental principles of the Advanced LangChain Techniques: Mastering RAG Applications Course are reliability and safety. You will learn to use such tools as the RAGAS evaluation framework to assess accuracy and relevance, NeMo Guardrails to monitor and steer your models towards safe and consistent behavior. Such high-level assessment and monitoring strategies make sure your AI systems are not only powerful but also reliable and in line with the expectations of reality. You will also be able to understand how to test the weaknesses of the model and constantly increase the performance based on systematic testing.

Deploy Real-World Applications with Confidence
You will combine all core elements of the Advanced LangChain Techniques: Mastering RAG Applications Course into a full-stack application of AI by the course completion and integration of a FastAPI backend, a React frontend, and a Docker deployment. You will also get scripts that are ready to import your data and clean it, and run analytics to suit your projects. That can be a knowledge assistant or a customer support bot, a search engine in the enterprise environment, or whatever you want to build with advanced RAG systems. The Advanced LangChain Techniques: Mastering RAG Applications Course will give you the technical mastery and production mentality that you would require to make them become a reality.