Free Langchain Course with Certificate
Langchain Basics for Beginners
4.35
Beginner level
2.25 learning hrs
Learn LangChain basics, including LLM applications, chains, memory, tools, agents, GenAI workflows, and agent reliability. Enroll in this free LangChain course to build practical skills.
What you'll learn
About this course
This LangChain course will help you learn LangChain from the fundamentals and understand how the framework can be used to build LLM-powered applications. You’ll explore the development setup for creating GenAI workflows and learn core components such as chains, memory, tools, and agents. The course also introduces advanced chain architectures to help you understand how structured GenAI workflows are developed. These LangChain basics provide a foundation for working with the framework.
You’ll then apply your learning through practical LangChain use cases, including building a PDF insights extractor. The course also explains why agent hallucinations occur and how to evaluate and improve agent reliability in real workflows. This langchain for beginners course combines concepts and practical implementation to help you develop a better understanding of building and evaluating LLM-powered applications.
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.
4.35
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What will I learn in this free LangChain course?
You’ll learn LangChain fundamentals, LLM-powered applications, chains, memory, tools, agents, GenAI workflows, and agent reliability.
Can I learn LangChain as a beginner?
Yes. The course starts with LangChain fundamentals and gradually introduces core components, advanced chains, practical implementation, and agent reliability.
What LangChain basics are covered in this course?
You’ll learn about chains, memory, tools, agents, development setup, and GenAI workflows.
What will I learn from the introduction to LangChain?
You’ll understand the LangChain framework and how it can be used to build LLM-powered applications and GenAI workflows.
What are the prerequisites for this course?
No prior knowledge of LangChain is required, but basic understanding of AI and programming concepts is helpful.
Will I learn how to build LLM-powered applications with LangChain?
Yes. The course introduces the development setup and workflows used to create LLM-powered applications.
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 about chains, memory, tools, and agents?
Yes. You’ll explore these core LangChain components and understand their role in building GenAI workflows.
Will I learn practical applications of LangChain?
Yes, the course includes a case study on developing a personalized story generator using LangChain.
Can I learn how advanced chains work in LangChain?
Yes. The course covers advanced chain architectures and how they can support structured and efficient GenAI workflows
Does this LangChain AI course include practical projects or use cases?
Yes. You’ll work through a practical example of building a PDF insights extractor using LangChain.
What skills can I build through this LangChain training?
You’ll build skills in working with LangChain components, creating GenAI workflows, using agents, implementing practical use cases, and evaluating agent reliability.
Will I learn how to evaluate LangChain agents?
Yes. The course explains agent hallucinations and covers ways to evaluate and improve agent reliability in real workflows.
Is this LangChain for beginners course suitable for someone new to the framework?
Yes. It begins with fundamentals and progressively moves into core concepts, advanced chains, practical implementation, and agent reliability.
Recommended Free Generative AI courses
-
FREE
-
FREE
2.5 hrs
-
FREE
-
FREE
-
FREE
-
FREE
-
FREE
-
FREE
FREE
.jpeg "Course thumbnail image")
.jpeg "Course thumbnail image")
Related ChatGPT and Generative AI Courses
-
6 Weeks · Online · Weekend
Money Back GuaranteeKnow More
-
Johns Hopkins University
Certificate Program in AI Business Strategy10 weeks · Online
Know More
-
Walsh College
MS in Artificial Intelligence & Machine Learning2 Years · Online
Know More
