Updated in May 2025.

This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course is designed to provide you with a comprehensive understanding of LangChain and its no-code tools, Flowise and LangFlow. You'll begin by learning the core functionalities of LangChain and its potential to transform AI applications. By the end of this course, you'll be able to harness the power of LangChain's innovative capabilities, combining it with user-friendly no-code tools to create sophisticated AI workflows. The course starts with an introduction to LangChain basics, laying the foundation for understanding its revolutionary features. From there, you will dive into Flowise and LangFlow, learning to install, configure, and use these tools for building intuitive AI applications. You'll explore a variety of use cases including prompt templates, multi-input handling, and building complex chains that allow for seamless AI workflows. Through hands-on demonstrations, you'll also master the process of creating advanced AI solutions using these tools. As you progress, you'll build practical skills in developing AI systems through different types of chains, such as simple LLM chains, conversation chains, and even API chains. You'll also delve into memory types and summarization use cases, helping you to create more dynamic and powerful AI applications. The course will also cover LangChain agents and their integration with platforms like Zapier, Flowise, and LangFlow, empowering you to automate tasks and expand your AI capabilities. This course is ideal for individuals interested in leveraging no-code tools to enhance AI-driven applications. No prior coding experience is required, making it perfect for beginners. Whether you're a business professional, entrepreneur, or AI enthusiast, you'll gain valuable insights and hands-on experience in building robust AI systems with LangChain and no-code platforms.