Python CLI Chat Using Langchain
- Development
- Feb 26, 2025

Python CLI Chat Using Langchain, available at Free, has an average rating of 4.6, with 14 lectures, based on 53 reviews, and has 3248 subscribers.
Free Enroll NowYou will learn about Interact with Large Language Models using Python. Learn the basics of setting up a prompt for LLMs. Use agents to get current information through tools we define to assist our LLM. Add memory to a LLM so it is able to have context. This course is ideal for individuals who are This course is designed for beginners. In the course we use Python with the Langchain frame framework to create a command line interface app that is similar to using Chat GPT. It is particularly useful for This course is designed for beginners. In the course we use Python with the Langchain frame framework to create a command line interface app that is similar to using Chat GPT.
Enroll now: Python CLI Chat Using Langchain
Summary
Title: Python CLI Chat Using Langchain
Price: Free
Average Rating: 4.6
Number of Lectures: 14
Number of Published Lectures: 14
Number of Curriculum Items: 14
Number of Published Curriculum Objects: 14
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
This beginner-level course is designed to provide participants with an introduction to the world of Large Language Model (LLM’s) application development. Through the utilization of Python and the Langchain frame framework, learners will embark on a transformative journey, mastering the art of crafting a highly interactive CLI app reminiscent of the seamless Chat GPT experience.
Throughout the course, participants will delve into the core principles and techniques of working with the LangChain framework, and building a foundation in CLI development. Guided by a passionate instructor, learners will be introduced to the Langchain frame framework, basic Python and the process of CLI app creation.
The course places significant emphasis on the integration of agents and memory within the CLI application. By assimilating agents, learners will empower their Language Model (LLM) to harness the vast information available on the internet.
Upon completion of the course, participants will possess a basicunderstanding of Python programming concepts, adeptness in CLI development, and fluency in utilizing the Langchain frame framework. Additionally, they will have honed the necessary skills to construct a fully functional command line interface app with engaging interactive features comparable to the exceptional capabilities of Chat GPT. By skillfully integrating agents and memory, participants will equip their LLM with the prowess to explore the internet, amplifying its knowledge-seeking capabilities.
This course welcomes beginners with no prior programming experience, making it accessible to individuals from various backgrounds. However, a basic level of computer literacy and familiarity with the command line interface is recommended to fully engage with the course material.
Join me on this captivating journey into the realm of CLI app development, where you will unlock the potential of Python, Langchain, and the limitless possibilities of interactive command line experiences.
Note: Participants are expected to have basic computer literacy and familiarity with the command line interface. and setting up a code editor.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Resources
Chapter 2: The Set Up
Lecture 1: The Env and Requirements
Lecture 2: Open AI Key Langchain
Lecture 3: The Secret Import
Chapter 3: Welcome To LangChain
Lecture 1: Interact With The LLM
Lecture 2: Prompting The LLM
Lecture 3: Chaining The Model With The Prompt
Lecture 4: Searching
Chapter 4: Chat With A LLM
Lecture 1: LLMs Need Tools!
Lecture 2: Chaining The LLM And Search Using An Agent
Lecture 3: Add Memory To Our Model
Lecture 4: Using The CLI
Lecture 5: Requirements
Instructors

Stephen Chesnowitz
Ruby On Rails
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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