Building AI Applications and Agents with LangChain

About this course

Building AI Applications and Agents with LangChainAbout the Course "Building AI Applications and Agents with LangChain" is a hands-on course designed to provide a thorough understanding of LangChain, a robust framework for developing applications with large language models (LLMs). Led by Mark Chen, founder of Mindify AI, this course is crafted to take you from the basics of generative AI to advanced LangChain components and integrations. By the end, you’ll have practical experience building applications that use LangChain to streamline data handling, model interactions, and AI deployment processes.

About the Instructor Mark Chen, the founder of Mindify AI, is an experienced AI engineer and entrepreneur dedicated to creating generative AI solutions. His expertise spans building LLM-driven applications, developing AI agent-based applications, and navigating the LangChain framework. Mark’s background in developing real-world AI applications gives this course a unique, practical focus that combines foundational knowledge with insights from the cutting edge of AI technology.

Course Outline - Chapter 1: Introduction to Generative AI and LangChain - Chapter 2: Working with LLMs – From Embedding to Chat Models - Chapter 3: Document Handling – Using Document Loaders in LangChain - Chapter 4: Data Storage – Vector Data Stores and Context Retrieval - Chapter 5: Essential Tools – LangChain Tooling and Code Integration - Chapter 6: Agents and Decision-Making – LangGraph Agent Applications - Chapter 7: LangChain on Platforms – Integrating LLMs across platforms - Chapter 8: Building Applications – LangChain APIs for Chatbots, RAG, and Agentic Models What Will You Learn from This Course Understand the Architecture of LangChain:

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