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Developing LLM Applications with LangChain

Intermediate
4.6+
13 reviews
Updated 12/2024
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
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PythonArtificial Intelligence3 hours10 videos33 exercises2,750 XP11,829Statement of Accomplishment

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Course Description

Foundation for Developing in the LangChain Ecosystem

Augment your LLM toolkit with LangChain's ecosystem, enabling seamless integration with OpenAI and Hugging Face models. Discover an open-source framework that optimizes real-world applications and allows you to create sophisticated information retrieval systems unique to your use case.

Chatbot Creation Methodologies using LangChain

Utilize LangChain tools to develop chatbots, comparing nuances between HuggingFace's open-source models and OpenAI's closed-source models. Utilize prompt templates for intricate conversations, laying the groundwork for advanced chatbot development.

Data Handling and Retrieval Augmentation Generation (RAG) using LangChain

Master tokenization and vector databases for optimized data retrieval, enriching chatbot interactions with a wealth of external information. Utilize RAG memory functions to optimize diverse use cases.

Advanced Chain, Tool and Agent Integrations

Utilize the power of chains, tools, agents, APIs, and intelligent decision-making to handle full end-to-end use cases and advanced LLM output handling.

Debugging and Performance Metrics

Finally, become proficient in debugging, optimization, and performance evaluation, ensuring your chatbots are developed for error handling. Add layers of transparency for troubleshooting.

Prerequisites

Introduction to Embeddings with the OpenAI APIChatGPT Prompt Engineering for Developers
1

Introduction to LangChain & Chatbot Mechanics

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2

Chains and Agents

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3

Retrieval Augmented Generation (RAG)

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Developing LLM Applications with LangChain
Course
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*4.6
from 13 reviews
62%
38%
0%
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0%
  • Thelo P.
    about 1 month

    The course was interesting. It was well detailed and gave me a better understanding of certain concepts.

  • Jorge P.
    2 months

    very good

  • Banele M.
    4 months

    Overall,well constructed tasks,insightful video presentation.Although there could have been extra tasks inserted.

  • Raghavendra D.
    7 months

    Easy to understand and practice

  • Gabriel S.
    8 months

    I really appreciate the entire course and the DataCamp platform is amazing, better than any other platform that I've seen. p.s.: I'm Brazilian, so I'm not a native english speaker

"The course was interesting. It was well detailed and gave me a better understanding of certain concepts."

Thelo P.

"very good"

Jorge P.

"Overall,well constructed tasks,insightful video presentation.Although there could have been extra tasks inserted."

Banele M.

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