Learn to Develop RAG Applications through LangChain

Level Up Your Automation Skills with LLM RAG Development

This course equips you to build groundbreaking applications that leverage the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

Master the Art of LLM RAG Automation

• Gain a solid understanding of core LLM concepts, including agents, tools, chains, retrievers, and more.
• Solidify your knowledge through practical coding exercises and projects.
• Delve into language embeddings and vector databases for efficient semantic search.
• Craft powerful RAG applications built on the foundation of semantic similarity.

Build Practical LLM RAG Projects

• SQL RAG: Effortlessly convert natural language into SQL queries, enabling data extraction from your MySQL database.
• CV Analyzer: Extract key details from CV documents using LLM capabilities.
• Conversational HR Chatbot: Develop a comprehensive HR chatbot that answers questions from HR policies stored in a vector database, while maintaining conversation history similar to ChatGPT.
• Structured Data Analysis: Load data into a Pandas Dataframe and leverage Few-Shot ReAct Agents for intricate analysis.

In Each Project, You’ll Master:

• The real-world business challenge you’re addressing.
• The specific LLM and LangChain components involved.
• Techniques to analyze and interpret the results.
• Similar use cases you can tackle using the same approach.

Who Should Enroll?

• Software developers looking to integrate the power of LLMs into their projects.
• Developers seeking to automate software engineering processes.

This course empowers you to become a leader in RAG application development, unlocking the true potential of Generative AI in your projects and products.