This Specialization takes you through the process of building and deploying intelligent systems using LangChain. The first course introduces the rise of generative AI and how LangChain empowers language models to perform complex tasks like agent-based decision making. You will learn how to construct workflows with LangChain, creating powerful tools that enhance the ability of language models to interact with external data and systems.
The second course delves into the creation of intelligent retrieval-augmented generation (RAG) systems and intelligent agents. By using LangChain’s capabilities, you’ll build systems that can autonomously reason, retrieve data, and generate meaningful responses. Advanced applications, such as multi-agent systems, are explored to push the boundaries of agent collaboration and scalability.
In the third course, learners focus on developing software agents for data analysis, and testing and evaluating them for production-ready deployments. We also cover techniques for integrating machine learning models into the systems and provide insights into the future of generative models, preparing you to create robust, scalable AI systems. Through a combination of step-by-step guidance, this Specialization equips you to create intelligent AI agents with LangChain, paving the way for practical applications in business, research, and more.
This Specialization is based on the book Generative AI with LangChain, by Ben Auffarth, Leonid Kuligin.
Applied Learning Project
Applied exercises and case analyses included throughout the courses will allow you to implement LangChain's core concepts into real-world AI applications. These hands-on projects will help you build intelligent agents, construct advanced workflows, and deploy machine learning models for production.
