Langchain and Langgraph

Coursera Certificate USD 49
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Langchain and Langgraph

About this course

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. Unlock the potential of LangChain and large language models (LLMs) to create innovative applications. You will develop 15 real-world applications using Python, integrating tools like OpenAI, Hugging Face, and LLAMA 2. The specialization is structured around practical projects that introduce key concepts in sequential modules. Topics include memory management, text embeddings, prompt engineering, and chain models. With each project, you’ll master unique features of LangChain, such as building question-answering systems and conversational agents, while performing data processing tasks. Unlock the potential of LangChain and LLMs with this comprehensive specialization designed for AI enthusiasts and developers. From setting up your development environment to mastering core principles of LLMs. Designed for AI enthusiasts and developers with basic Python knowledge, this specialization takes you from setting up your development environment to mastering core principles of LLMs. By the end, you will be able to build intelligent applications, understand memory management, prompt engineering, and agent architecture, and create adaptive AI agents for real-world challenges.

What you'll learn

  • Develop real-world applications using LangChain
  • Understand memory management concepts
  • Implement text embeddings and prompt engineering
  • Create question-answering systems and conversational agents
  • Master core principles of large language models (LLMs)

Skills you'll gain

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