Langchain and Langgraph

Overview

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.

Syllabus

• Course 1: LangChain MasterClass: Build 15 LLM Apps with Python
• Course 2: The Complete LangChain & LLMs Guide
• Course 3: Building Autonomous AI Agents with LangGraph

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Taught by

Packt - Course Instructors

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Subjects

Computer Science