Free Langchain Course with Certificate
Langchain Basics for Beginners
Enroll in this free LangChain for Beginners course to quickly grasp the fundamentals of LangChain how to connect multiple AI models & tools for advanced functionalities, setting a strong foundation for your AI development skills.
About this course
This free LangChain Basics for Beginners course offers a comprehensive introduction to LangChain, designed to help you understand and utilize its powerful capabilities. You will begin by learning the purpose and functionalities of LangChain, which connects multiple AI models and tools for enhanced performance.
The course guides you through setting up a development environment for LangChain, covering installation and configuration steps to ensure you are ready to start building. You'll explore LangChain's core concepts, including chains, agents, and memory, gaining a deep understanding of how these elements work together.
Further, you will learn about the various components of LangChain, such as prompts, models, tools, and data loaders. This knowledge will enable you to effectively use LangChain in your projects. The course culminates with a practical case study where you will develop a personalized story generator, applying the concepts and skills you've acquired.
By completing this course, AI enthusiasts will be equipped to describe the benefits of LangChain, configure a development environment, understand nodes and their roles, and develop practical applications using LangChain, enhancing their AI project capabilities.
Course outline
LangChain Fundamentals
In this module you will be understanding the LangChain framework, building LLM‑powered applications and also covers the development set up environment to create workflows of GenAI and agents .
LangChain Core Concepts and Advanced Chains
This module covers the core LangChain concepts and components, including chains, memory, tools, and agents, and then explores advanced chain architectures to help you build structured, efficient GenAI workflows.
LangChain in Action -Practical Use and Agent Reliability
This module explores practical LangChain implementation on building PDF insights extractors, explains why agent hallucinations occur, and shows how to evaluate and improve agent reliability in real workflows.
Get access to the complete curriculum once you enroll in the course
This course is ideal for
- Python developers looking to build AI applications.
- AI engineers wanting to connect external data.
- Data scientists exploring LLM integration frameworks.
- Tech enthusiasts building custom AI chains.
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What is LangChain?
LangChain is a framework that connects multiple AI models and tools to create advanced functionalities and applications.
Who is this course for?
This course is designed for beginners who want to learn the basics of LangChain and understand its applications in AI development.
What will I learn in this course?
You will learn the purpose and capabilities of LangChain, how to set up a development environment, the core concepts and various components of LangChain, and how to develop a personalized story generator.
What are the prerequisites for this course?
No prior knowledge of LangChain is required, but basic understanding of AI and programming concepts is helpful.
What are the key components of LangChain covered in this course?
The course covers prompts, models, tools, data loaders, chains, agents, and memory within the LangChain framework.
Will I learn practical applications of LangChain?
Yes, the course includes a case study on developing a personalized story generator using LangChain.