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Introduction to Large Language Models with GPT & LangChain

Packt via Coursera

Overview

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Explore electric vehicle trends in Washington state using LangChain and GPT. Generate insights, visualize popular models, and leverage GPT-driven Python analysis in a structured conversational workflow. In this course, you'll unlock the potential of large language models (LLMs) like OpenAI's GPT, using LangChain to analyze electric car registrations in Washington state. Start by importing the electric car dataset and asking GPT insightful questions about the data. Engage in a dynamic conversation with GPT to generate and execute Python code that uncovers key trends, such as identifying the most popular electric vehicle models. As you interact with GPT, you'll create and visualize data through detailed bar plots. The course emphasizes a seamless workflow where GPT’s conversational memory helps maintain context across interactions, ensuring precise, reproducible insights. By the end, you'll have a solid understanding of how to leverage conversational AI to enrich data analysis, automate coding tasks, and visualize complex datasets—empowering you to make data-driven decisions with confidence. Create your own DataLab workbook for this code along: (https://www.datacamp.com/datalab/new?accountType=personal&_tag=workspace&workspaceId=e17e91f5-621a-40fc-aaa5-eec265e13603&title=Introduction%20to%20Large%20Language%20Models%20with%20GPT%20%26%20LangChain&visibility=private&openIfExists=true) This course is designed for beginners interested in data analysis, Python programming, and leveraging the power of Large Language Models. No prior experience with GPT or LangChain is required, but a basic understanding of Python will be helpful. Ideal for learners who want to explore how AI can assist in data-driven decision-making and analysis. Through hands-on exercises and real-world applications, you will actively engage with GPT and LangChain. The course promotes practical learning by enabling you to apply your newfound knowledge to real data analysis tasks. The interactive format ensures that you can seamlessly integrate these tools into your data analysis projects. This course is based on Introduction to Large Language Models with GPT & LangChain, by DataLab DataLab and Vincent Vankrunkelsven. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

  • Introduction to Large Language Models with GPT & LangChain
    • This module introduces learners to large language models (LLMs) such as GPT and how they can be integrated with LangChain for data analysis. It covers foundational concepts, practical applications, and hands-on implementation of LLMs in real-world scenarios. Learners will develop the ability to leverage these tools for question-answering, data interpretation, and code execution.

Taught by

Packt - Course Instructors

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