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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: Free Trial
    Free Trial
    I

    IBM

    Agentic AI with LangChain and LangGraph

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    112 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, LLM Application, Generative AI Agents, Large Language Modeling, Generative AI, Tool Calling, Hugging Face, Context Engineering, Embeddings

    4.6
    Rating, 4.6 out of 5 stars
    ·
    236 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Langchain and Langgraph

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    141 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    D

    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, Prompt Patterns, Generative Model Architectures, AI Workflows

    4.7
    Rating, 4.7 out of 5 stars
    ·
    334 reviews

    Beginner · Project · Less Than 2 Hours

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  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Tool Calling, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, AI Integrations, OpenAI API, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Advanced · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Build Next-Gen LLM Apps with LangChain & LangGraph

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

    3.1
    Rating, 3.1 out of 5 stars
    ·
    9 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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, Fine-tuning, User Interface (UI)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    265 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Vector Databases, Fine-tuning, 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

  • Status: Free
    Free
    D

    DeepLearning.AI

    LangChain Chat with Your Data

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    685 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    The Complete LangChain & LLMs Guide

    Skills you'll gain: Python Programming

    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

    Generative AI with LangChain

    Skills you'll gain: LangChain, Prompt Engineering, Retrieval-Augmented Generation, LangGraph, AI Orchestration, Model Deployment, Prompt Patterns, LLM Application, Generative AI Agents, Generative AI, Agentic Workflows, AI Security, OpenAI, Tool Calling, Generative Model Architectures, Prompt Engineering Tools, OpenAI API, AI Workflows, Large Language Modeling, Model Context Protocol

    Beginner · Specialization · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM Generative AI Engineering

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    101K reviews

    Beginner · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

1234…17

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

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