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LangChain Application Development
12 units
Interactive

LangChain Application Development

12 h 1 12 Units Certificate in 7 languages Unlimited access Mobile compatible
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Course is free · Certificate from 55 $

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What is LangChain Application Development?

LangChain Application Development Training

The LangChain Application Development certificate program teaches you how to build production-ready applications powered by large language models using the LangChain framework. This course is designed for software developers, data scientists, and AI enthusiasts who want to move beyond simple API calls and create sophisticated, context-aware systems. By the end of the program, you will be able to design and deploy applications that combine prompt engineering, memory, agents, and retrieval-augmented generation (RAG) into a cohesive, scalable solution.

The program follows a beginner-friendly progression that starts with LangChain’s core components and language model integration, then builds through prompt templates, chains, memory, and agents. You will develop practical skills across four key areas: orchestrating multi-step workflows with chains, managing conversation history, integrating external tools and toolkits, and implementing RAG with vector stores and embeddings. This training is especially relevant now because LangChain has become the de facto standard for LLM application development, and mastering it gives you a direct path to building chatbots, document Q&A systems, and autonomous agents that are in high demand across industries.

What is LangChain Application Development?

LangChain Application Development is the practice of using the LangChain framework to build software that leverages large language models in a modular, composable way. Its core concepts include prompt templates, chains (sequences of calls), memory (conversation state), agents (autonomous decision-makers), and retrieval-augmented generation (combining external data with LLM reasoning). The framework abstracts away low-level API details, allowing developers to focus on designing intelligent workflows that can call tools, manage context, and stream responses.

Today, LangChain is widely adopted in both industry and academia for creating chatbots, knowledge-base assistants, code generation tools, and research summarizers. Recent shifts toward agentic systems and RAG have made LangChain essential for any team building LLM-powered products that need to be reliable, traceable, and easy to iterate on. Companies from startups to enterprises use it to prototype quickly and then deploy to production with features like callbacks, evaluation, and streaming.

Mastering LangChain Application Development builds a skill stack that combines prompt engineering, software architecture, and data retrieval techniques. This expertise is directly applicable to roles such as AI engineer, machine learning engineer, and full-stack AI developer. Beyond professional contexts, the ability to chain models with tools and memory empowers individuals to create custom assistants, automate workflows, and experiment with cutting-edge AI patterns—making it a valuable competency for anyone serious about applied AI.

Common Questions About LangChain Application Development

Can a non-programmer start with this LangChain course?
Yes, a non-programmer can start, but basic programming knowledge (such as Python syntax) is highly recommended to follow the hands-on exercises. The concepts are introduced step by step.
Is prior AI experience required for LangChain application development?
No, prior AI experience is not required. Core concepts like prompt engineering, memory, and RAG are introduced from the ground up, making them accessible to developers and data scientists new to LLMs.
How do you use PromptTemplate to create dynamic prompts?
PromptTemplate allows you to define a template string with placeholders and fill them at runtime. Here is how it works:
  • Define a template: Write a string with placeholders like {topic}.
  • Create a PromptTemplate object: Instantiate it with the template string.
  • Format the prompt: Call .format(topic='AI') to substitute values.
This approach enables reusable, parameterized prompts that adapt to different inputs. The course covers this in the Prompt Templates and Engineering unit.
What is the difference between LLMChain and a regular chain?
LLMChain is a specific chain that combines a prompt template, an LLM, and an output parser into a single callable. A "regular chain" is any sequence of components; for example, SimpleSequentialChain or RouterChain. LLMChain is the fundamental building block for LLM interactions, while other chains orchestrate multiple steps. The course explores chain composition in depth.
Why use RecursiveCharacterTextSplitter for document splitting?
RecursiveCharacterTextSplitter recursively splits text on a list of separators (newlines, spaces, characters) to maintain semantic coherence. It tries to keep paragraphs and sentences intact, resulting in chunks that are more meaningful for retrieval. Other splitters may cut arbitrarily, losing context. Our course uses this as the default workhorse in the Document Loaders and Text Splitting unit.
How does Retrieval Augmented Generation (RAG) improve answers?
RAG improves answers by grounding the LLM's response in external, up-to-date information instead of relying solely on its training data. The four-step pipeline is:
  • Load: Ingest documents using loaders.
  • Split: Chunk text with splitters like RecursiveCharacterTextSplitter.
  • Embed: Convert chunks to vectors using embedding models.
  • Retrieve: Find relevant chunks for a query from a vector store.
This reduces hallucinations and enables the model to answer questions about private or recent data. Our course dedicates a full unit to building a RAG chain with RetrievalQA.
Is LangChain only useful for Python developers?
No, LangChain is primarily built for Python, but its concepts and patterns apply to any language. JavaScript/TypeScript versions exist, and the framework's design—prompts, chains, agents—is language-agnostic. However, the most mature ecosystem and examples are in Python.

What Will This Course Bring You?

  • Build a LangChain application by composing core components such as models, prompts, and chains.
  • Design custom prompt templates to control language model outputs for specific tasks.
  • Implement conversation memory to maintain context across multiple interactions.
  • Construct an agent that uses tools to dynamically answer user queries.
  • Apply document loaders and text splitters to preprocess data for retrieval.
  • Develop a Retrieval Augmented Generation pipeline using vector stores and embeddings.
  • Evaluate and optimize LangChain applications using callbacks and streaming.
  • Deploy a LangChain application to production with considerations for scalability and monitoring.

Curriculum

12 Units
01

1. LangChain Fundamentals and Core Components

1 h

02

2. Working with Language Models

1 h

03

3. Prompt Templates and Engineering

1 h

04

4. Chains and Chain Composition

1 h

05

5. Memory and Conversation History

1 h

06

6. Agents and Agent Executors

1 h

07

7. Tools and Toolkits

1 h

08

8. Document Loaders and Text Splitting

1 h

09

9. Vector Stores and Embeddings

1 h

10

10. Retrieval Augmented Generation (RAG)

1 h

11

11. Advanced Features: Streaming, Callbacks, and Evaluation

1 h

12

12. Deployment and Production Considerations

1 h

Exam – LangChain Application Development

20 Questions • 70% Pass • 30 min

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Exam – LangChain Application Development

20 Questions • Pass: 70% • 30 min

Course Duration

720

Total Minutes

12

Unit

1

Final Exam

~60

Min / Unit

LangChain Application Development Certificate Program

Document Your Skill

Those who pass the 20-question, 30-minute exam with 70% receive the LangChain Application Development Certificate.

Stand Out on Your CV

By adding your certificate to your CV, gain a professional reference in job applications and stand out from the crowd.

Career Advantage

Catch Wisdom certificates are recognized by HR departments and increase career opportunities.

Sample LangChain Application Development Certificate
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CERTIFICATE FEE

110 $ 55 $
Certificate Details

At the end of the course, an online exam consisting of 20 questions with a 30-minute time limit is given. The exam appears automatically after you complete the topics. Anyone who scores at least 70 out of 100 on the certificate exam is awarded the LangChain Application Development Document (certificate of attendance). You can add the certificate you earn to your CV for job applications in the many sectors listed above, and use it as a reference proving that you took this interactive course.

The Certificate of Achievement you receive with the LangChain Application Development course program holds value that proves your personal and professional development in the business world. By adding it to your CV, it can serve as an important reference in your job applications. Moreover, compared with certificates from other private training institutions, Catch Wisdom certificates are offered to our participants at a much more affordable price.

Because HR departments recognize Catch Wisdom as a reputable institution in this field, they value these certificates and may evaluate your job applications favorably. For this reason, a LangChain Application Development course certificate from Catch Wisdom can make your applications more attractive and place you in an advantageous position in the business world.

For more information, we recommend visiting the Support page.

Certificate in 7 Languages

Earning success certificates from our courses is now more meaningful and global. With certificates available in Turkish, English, German, French, Spanish, Arabic, and Russian, we fully unlock the potential of students worldwide.

Why Certificate in 7 Languages?

  1. 01

    Global Skill Development

    Receiving your certificates in 7 different languages strengthens your communication skills as you engage with more people worldwide. It lets you operate more confidently and capably on the international stage.

  2. 02

    International Job Opportunities

    Employers may see your certificates in multiple languages as a sign of your ability to seize global opportunities. You can open more doors to new jobs and projects.

  3. 03

    Cultural Richness

    The chance to earn certificates in different languages helps you build closer ties with various cultures and broadens your worldview. It enriches your global perspective and deepens cultural understanding.

  4. 04

    Ability to Participate in International Projects

    Multilingual certificates give you an edge to work more effectively on international projects. They boost your chances of leadership and participation in diverse projects in the business world.

  5. 05

    Prove Yourself on the Global Stage

    Certificates in multiple languages let you showcase your skills and knowledge worldwide. You can become an internationally recognized professional.

Language diversity opens worldwide opportunities. If you want to prove yourself in the international arena, join our online LangChain Application Development course program and begin this journey with us.

Frequently Asked Questions (FAQ)

Is this course paid?
No, all courses on Catch Wisdom are completely free to join. We believe education should be accessible to everyone.
How do I join the course?
After creating an account, you can join in one click with the "Start Course" button and begin immediately from the first unit.
Can I take the course at my own pace?
Yes, all courses are designed for self-paced learning. There are no deadlines or time limits.
How can I get my certificate?
After completing the course and passing the final exam, you can order your certificate and instantly download it as PDF.
What are the advantages of the Certified Certificate?
With instant PDF access, validity in 7 languages, a digital signature, and a unique verification code, your certificate becomes a professional reference in job applications.

Boost Your Career

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