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Build AI Chatbots with Open-Source LLMs, LangChain, and Streamlit
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This course will teach you to design, build, and optimize AI chatbots using transformers and RAG through hands-on projects and Streamlit UI.

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Overview

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This course provides a comprehensive guide to designing, building, and optimizing chatbots using modern AI technologies. It begins with an introduction to chatbots, foundational concepts in AI, and the mechanics of transformer models, equipping you with a solid understanding of how natural language processing underpins chatbot systems. You’ll learn to implement large language models (LLMs) for tasks such as summarization, translation, and inference alongside data preparation techniques and retrieval-augmented generation (RAG) workflows using tools like LangChain. You’ll also cover advanced concepts like prompt engineering, retrieval chains, and developing user interfaces with Streamlit. The course concludes with an integration and evaluation phase, where you’ll deploy your chatbot systems and assess performance. A hands-on capstone project solidifies these skills, making this course ideal for developing robust, user-friendly chatbots using cutting-edge AI methodologies.

This course provides a comprehensive guide to designing, building, and optimizing chatbots using modern AI technologies. It begi...Show More

WHAT YOU'LL LEARN

An understanding of foundational principles of chatbots, including AI basics, chatbot workflows, and interface development with Streamlit

Hands-on experience with open-source LLMs to perform various downstream tasks

Working knowledge of optimizing retrieval-augmented generation (RAG) workflows using LangChain

The ability to develop strategies for crafting effective prompts, including structured reasoning and contextual prompts

An understanding of foundational principles of chatbots, including AI basics, chatbot workflows, and interface development with Streamlit

TAKEAWAY SKILLS

Python

Natural Language Processing

Transformer Models

Data Augmentation

Data Cleaning

Conversational Assistant

Generative AI

Content

47 Lessons8 Quizzes

Introduction to Building Chatbots

3 Lessons

Master chatbot development using AI, LLMs, and interactive web interfaces.

Overview of the Course

A Recap on Artificial Intelligence

Quiz: Introduction to Building Chatbots

Understanding Transformers

5 Lessons

Explore transformer models, tokenization, embeddings, and positional encoding for effective chatbot development.

Overview of Transformers

Tokenizing Text

Embedding the Tokenized Text

Applying Positional Encoding and Embedding with Transformers

Quiz: Transformers

Automating Contract Review with Transformer Models

Project

Understanding Large Language Models (LLMs)

9 Lessons

Explore the capabilities of large language models in enhancing chatbot functionalities.

Overview of Large Language Models (LLMs)

Exploring Open-Source LLMs

Downstream Task: Text Classification

Downstream Task: Table Question Answering

Downstream Task: Translation

Downstream Task: Summarization

Downstream Task: Sentence Similarity

Downstream Task: Text Inference

Quiz: LLMs

Data Collection and Preparation

3 Lessons

Master effective data manipulation and management for advanced chatbot development.

Manipulating Data: System Workflow

Manipulating Data: Libraries Workflow

Quiz: Data Manipulation

Optimizing RAG Workflows with LangChain

9 Lessons

Explore retrieval-augmented generation and LangChain for advanced chatbot development.

Introduction to RAG

Overview of LangChain

Retrieval Strategies: Web and Multimedia Document Loaders

Retrieval Strategies: Common Document Loaders

Retrieval Strategies: Data Chunking

Retrieval Strategies: Embedding and Vector Stores

Retrieval Strategies: Data Chunks Retrievers Base

Retrieval Strategies: Retrievers

Quiz: LangChain Framework

Prompt Engineering and Retrieval Chains

6 Lessons

Master prompting and composition strategies to enhance AI chatbot performance.

Prompting Strategies: Direct and Contextual

Prompting Strategies: Structured Reasoning

Prompting Strategies: Prompt Templates

Composition Strategies: Chain Constructor Explanation

Composition Strategies: Chain Constructor Implementation

Quiz: Prompts and Chains

Chatbot User Interface Development with Streamlit

3 Lessons

Explore Streamlit's features for building interactive applications and optimizing performance.

Introduction to Streamlit: Basic Concepts

Introduction to Streamlit: Advanced Concepts

Quiz: Streamlit Framework

Chatbot Integration and Evaluation

3 Lessons

Integrate chatbots with Streamlit and evaluate LLMs using diverse metrics.

Integrating Chatbots with the Streamlit Interface

Evaluating Chatbots

Quiz: Chatbot Integration and Evaluation

Capstone Project

5 Lessons

Develop a sophisticated LLM-driven chatbot for Toyota vehicle inquiries using Streamlit.

Capstone Project: Objective

Capstone Project: Interface

Capstone Project: Functions

Capstone Project: Retriever

Capstone Project: Generator

10.

Conclusion and Future Developments

1 Lessons

Consolidate your understanding by revisiting what you’ve learned.

Recap and Potential Enhancement of the Chatbot

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Show License and Attributions

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Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

Adaptive Learning

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Explain with AI

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AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

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Build AI Chatbots with Open-Source LLMs, LangChain, and Streamlit Save

Build AI Chatbots with Open-Source LLMs, LangChain, and Streamlit
Save