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Free Langchain Course with Certificate
Langchain Basics for Beginners
Enroll in this free LangChain Basics for Beginners course to quickly grasp the fundamentals of LangChain how to connect multiple AI models and tools for advanced functionalities, setting a strong foundation for your AI development
Instructor:
Ms. Sneha VKModules updated 07/2025
Langchain Basics for Beginners
611 learners enrolled so far
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Skills you will gain
Describe the benefits of LangChain
Configure development environment
Understand nodes and their roles
Develop a personalized story generator using LangChain
Key Highlights

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Master in-demand skills & tools

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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
Introduction to LangChain
Understand the purpose and capabilities of LangChain in connecting multiple AI models and tools for advanced functionalities.
Development Environment Setup of LangChain
Learn the steps to set up a development environment for LangChain, including installation and configuration.
LangChain Core Concepts
Explore the fundamental principles of LangChain, such as chains,agents and memory.
LangChain Components
Learn about the various components of LangChain, including prompts, models, tools and data loaders.
LangChain Case Study
Study a practical application of LangChain in a personalized story generator project.
Get access to the complete curriculum once you enroll in the course
Stand out with an industry-recognized certificate

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Langchain Basics for Beginners
1.5 Hours
Beginner
611 learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes
Our course instructor

Ms. Sneha VK
ChatGPT and Generative AI Expert


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.
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