Udemy – Building AI Applications and Agents with LangChain 2025-1

Building AI Applications and Agents with LangChain course. This hands-on course teaches you how to build powerful AI applications using LangChain, a powerful framework for developing applications based on large language models (LLMs). Mark Chen, founder of Mindify AI, walks you through the basics of generative AI to advanced LangChain components and integrations. By the end of this course, you will have hands-on experience building applications that use LangChain to simplify data management, model interactions, and AI deployment processes.

What you will learn:

• Developing Productive AI Applications with LangChain: Learn to Use LangChain to Build Creative Applications
• Building RAG Applications with LangChain: Using LangChain and its Platforms to Develop AI-Based Data Retrieval Applications
• Developing LLM Agents with LangChain and LangGraph: Learn to build intelligent agents using LangChain and LangGraph
• LLM Application Development Fundamentals and Q&A Techniques: Understand the fundamentals of developing applications based on large language models and effective techniques for interacting with them.

Who is this course suitable for?

• People who need to develop AI applications with context understanding
• Computer science students
• People who are very interested in generative artificial intelligence
• People who want to become AI engineers in the future
• People who want to build AI agents with LangChain and LangGraph

Course details: Building AI Applications and Agents with LangChain

• Publisher:  Udemy
• Instructor:  Mark Chen
• Training level: Beginner to advanced
• Training duration: 1 hour and 40 minutes
• Number of lessons: 44

Course headings

Prerequisites for the Building AI Applications and Agents with LangChain course

• Have a basic understanding of Python programming
• Have an account to OpenAI API and its API Key
• Have an account to Anthropic API and its API Key
• A free or premium LangSmith account

Course images

Sample course video

Download link

Download file – 672 MB

File(s) password: www.downloadly.ir

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672 MB