LangChain and ChatGPT: Build Your Own AI Assistant in 90 Minutes

Build your own AI assistant in 90 mins using LangChain & ChatGPT! Learn to create, customize & deploy smart AI tools.

Artificial Intelligence

1 Hour

30 Minutes

Description

In this fast-paced, hands-on session, you'll learn how to build a functional AI assistant from scratch using LangChain and ChatGPT. Whether you're a developer, product builder, or AI enthusiast, this course walks you through creating an agent capable of reasoning, responding, and interacting with external tools and APIs. In just 90 minutes, you'll go from zero to having a working assistant that can answer questions, perform tasks, and adapt to your needs—all powered by the latest in language model technology.

Course Objectives

By the end of this course, participants will:

Understand the basics of LangChain and how it complements ChatGPT.

Set up a working AI assistant with memory, prompt templates, and tool use.

Integrate external APIs (e.g., search, calculator, file reader) into the agent.

Learn how to use function-calling and chains for structured workflows.

Customize and deploy a basic assistant for personal or professional use.

Target Audience

This course is designed for:

Developers and software engineers

Startup founders and product teams

Tech-savvy professionals and makers

Students and hobbyists exploring LLMs and agents

Basic Understanding

There are no prerequisites for this course.

Course Content

No sessions available.

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Simpliv LLC
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Fremont, CA 94539, USA

LangChain and ChatGPT: Build Your Own AI Assistant in 90 Minutes

Session 1: Module 1: Setup and Foundations

  1. What is LangChain? Quick overview of core concepts
  2. Understanding how ChatGPT + LangChain work together
  3. Installing dependencies, API setup (OpenAI + LangChain)

Session 2: Module 2: Building Your First Assistant

  1. Creating a basic LLM-powered assistant
  2. Adding prompt templates and conversation memory
  3. Making it interactive via terminal or a simple UI

Session 3: Module 3: Making It Smarter with Tools

  1. Integrating tools (search, calculator, file reader, API caller)
  2. Using function calling / agents for dynamic tool selection
  3. Hands-on: Build a “Research Assistant” or “Task Bot” with tool use

Session 4: Module 4: Customization, Tips, and Deployment

  1. Adding context windows, persistent memory, or database logging
  2. Lightweight deployment options (Streamlit, FastAPI, or CLI)
  3. Final walkthrough and assistant demo

Session 5: Q&A and Wrap-Up

  1. Common issues and debugging tips
  2. Resources for further learning
  3. Where to go next with LangChain and ChatGPT

Coupons

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Live Support

Call

+510-849-6155

Mail to

support@simplivlearning.com

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