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Langchain Courses

LangChain courses can help you learn how to build applications that connect large language models with external data, tools, and workflows. You can build skills in prompt chaining, retrieval methods, agent design, and structuring multi-step tasks. Many courses introduce tools such as Python libraries, vector databases, and APIs that support creating, testing, and refining LangChain-powered AI applications.


Popular Langchain Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Build Next-Gen LLM Apps with LangChain & LangGraph

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Generative AI, Large Language Modeling, Hugging Face, PyTorch (Machine Learning Library), Embeddings, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    183 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    DeepLearning.AI

    LangChain for LLM Application Development

    Skills you'll gain: LangChain, LLM Application, Large Language Modeling, Retrieval-Augmented Generation, Generative AI Agents, Prompt Engineering, Generative AI, Embeddings, AI Workflows

    4.7
    Rating, 4.7 out of 5 stars
    ·
    263 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
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    IBM

    Agentic AI with LangChain and LangGraph

    Skills you'll gain: LangGraph, Agentic Workflows, AI Orchestration, AI Workflows, Generative AI Agents, Agentic systems, LangChain, LLM Application, Responsible AI, Retrieval-Augmented Generation, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Software Development, Vector Databases, Python Programming, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    DeepLearning.AI

    LangChain Chat with Your Data

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, ChatGPT, Large Language Modeling, Embeddings, Data Processing, Data Import/Export, Vector Databases, Prompt Engineering, Document Management

    4.8
    Rating, 4.8 out of 5 stars
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    660 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, Model Context Protocol, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, Generative AI Agents, Vector Databases, OpenAI API, Embeddings, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    666 reviews

    Advanced · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Project: Generative AI Applications with RAG and LangChain

    Skills you'll gain: Vector Databases, LLM Application, Retrieval-Augmented Generation, Generative AI, Embeddings, Document Management, Natural Language Processing, User Interface (UI)

    4.8
    Rating, 4.8 out of 5 stars
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    192 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Functions, Tools and Agents with LangChain

    Skills you'll gain: LangChain, LLM Application, Tool Calling, ChatGPT, Generative AI Agents, Prompt Engineering, Application Development, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    114 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Packt

    The Complete LangChain & LLMs Guide

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Large Language Modeling, OpenAI API, Hugging Face, ChatGPT, Embeddings, AI Workflows, Development Environment, Generative AI Agents, Retrieval-Augmented Generation, Vector Databases, Python Programming, Document Management, Application Development, Context Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Langchain and Langgraph

    Skills you'll gain: LangChain, Prompt Engineering, LLM Application, LangGraph, OpenAI API, Generative AI Agents, Agentic systems, AI Workflows, Large Language Modeling, Hugging Face, OpenAI, ChatGPT, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Application Development, Program Development, Retrieval-Augmented Generation, Artificial Intelligence, Data Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    86 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    98K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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In summary, here are 10 of our most popular langchain courses

  • Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
  • Fundamentals of AI Agents Using RAG and LangChain: IBM
  • LangChain for LLM Application Development: DeepLearning.AI
  • Agentic AI with LangChain and LangGraph: IBM
  • LangChain Chat with Your Data: DeepLearning.AI
  • IBM RAG and Agentic AI: IBM
  • Project: Generative AI Applications with RAG and LangChain: IBM
  • Functions, Tools and Agents with LangChain: DeepLearning.AI
  • The Complete LangChain & LLMs Guide: Packt
  • Langchain and Langgraph: Packt

Frequently Asked Questions about Langchain

LangChain is a framework designed to simplify the development of applications that utilize language models. It is important because it enables developers to create more sophisticated AI applications by integrating various components like data sources, APIs, and workflows. This framework allows for the seamless interaction between language models and external systems, enhancing the capabilities of AI applications in areas such as natural language processing, chatbots, and automated content generation.‎

Jobs in the LangChain field are diverse and growing as the demand for AI applications increases. Potential roles include AI Developer, Machine Learning Engineer, Data Scientist, and Software Engineer specializing in AI technologies. These positions often involve working with language models to build applications that can understand and generate human-like text, making them essential in industries ranging from tech to healthcare.‎

To learn LangChain effectively, you should focus on several key skills. Proficiency in programming languages such as Python or JavaScript is essential, as these are commonly used with LangChain. Additionally, understanding machine learning concepts, natural language processing, and API integration will greatly enhance your ability to work with this framework. Familiarity with cloud services and data management can also be beneficial.‎

Some of the best online courses for learning LangChain include the Langchain and Langgraph Specialization and the Build AI Apps with LangChain.js course. These programs provide comprehensive insights into the framework and its applications, catering to various skill levels and learning preferences.‎

Yes. You can start learning LangChain on Coursera for free in two ways:

  1. Preview the first module of many LangChain courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in LangChain, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn LangChain, start by exploring introductory courses that cover the basics of language models and their applications. Engage with hands-on projects to apply what you learn in real-world scenarios. Utilize online forums and communities to connect with other learners and professionals, which can provide additional insights and support throughout your learning journey.‎

Typical topics covered in LangChain courses include the fundamentals of language models, API integration, application development, and workflow design. Courses often explore practical applications such as building chatbots, automating content generation, and utilizing AI for data analysis, providing a well-rounded understanding of how to leverage LangChain effectively.‎

For training and upskilling employees in LangChain, courses like the LangChain: Application Development Essentials and the Fundamentals of AI Agents Using RAG and LangChain are excellent choices. These programs focus on practical skills and applications, making them suitable for workforce development in AI technologies.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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