Crafting Generative AI Web Apps with Streamlit LangChain
- Development
- Jan 17, 2025

Crafting Generative AI Web Apps with Streamlit & LangChain, available at Free, with 13 lectures, and has 2 subscribers.
You will learn about Build a comprehensive AI-powered web application for research papers, integrating features learned throughout the course Gain a foundational understanding of artificial intelligence and its applications in web development Develop proficiency in using Streamlit to create engaging and dynamic web applications with interactive components Learn how to effectively use LangChain to integrate and manage AI models within your applications Acquire skills in managing and persisting state across user interactions in Streamlit apps to enhance user experience Create a functional text summarizer using natural language processing techniques to extract key information from texts Learn how to access and use the arXiv API to retrieve and manage academic research papers and metadata This course is ideal for individuals who are Developers aiming to build and deploy AI-powered web applications or Developers wanting to integrate AI functionalities into their web projects or Professionals looking to apply AI and NLP in real-world applications. or Students and researchers needing practical AI and web development experience or Engineers wanting to expand their skills with AI and web development tools or Teachers wanting to include AI and web development in their curriculum It is particularly useful for Developers aiming to build and deploy AI-powered web applications or Developers wanting to integrate AI functionalities into their web projects or Professionals looking to apply AI and NLP in real-world applications. or Students and researchers needing practical AI and web development experience or Engineers wanting to expand their skills with AI and web development tools or Teachers wanting to include AI and web development in their curriculum.
Enroll now: Crafting Generative AI Web Apps with Streamlit & LangChain
Summary
Title: Crafting Generative AI Web Apps with Streamlit & LangChain
Price: Free
Number of Lectures: 13
Number of Published Lectures: 13
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Unlock the power of artificial intelligence by learning how to build dynamic AI-powered web applications with Streamlit and LangChain. This hands-on course will guide you from understanding the basics of AI to implementing advanced features like NLP-based text summarization and API integrations. Perfect for developers, data scientists, and AI enthusiasts, this course offers a step-by-step approach to mastering the tools needed to create your own AI-driven web apps.
What You Will Learn:
In this course, you’ll gain a solid understanding of AI fundamentals and learn to build interactive web applications using Streamlit. You’ll explore LangChain integration, master state management in Streamlit, and apply natural language processing to create a text summarizer. Additionally, you’ll set up the arXiv API and utilize LangChain’s output parsers to manage research data. By the end of the course, you’ll have the skills to develop your own AI-powered web apps, culminating in two final projects that showcase your ability to build a sophisticated AI research paper web application.
By the end of this course, you’ll have the skills and confidence to build your own AI web applications, making advanced AI accessible and interactive. Whether you’re looking to enhance your career or embark on new projects, this course is your gateway to building AI-driven solutions.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Streamlit Basics
Lecture 3: State Management in Streamlit
Lecture 4: How to setup OpenAI
Lecture 5: LangChain Basics
Lecture 6: Build a Text Summarizer with NLP
Chapter 2: Final Project: AI Powered Research Paper Platform
Lecture 1: arXiv API Setup & LangChain Output Parsers
Lecture 2: Final Project: Tutorial #1
Lecture 3: Final Project: Tutorial #2
Lecture 4: Final Project Deployment
Lecture 5: Next Steps
Lecture 6: Role of Neural Networks in Modern ML
Chapter 3: AI BONUS SECTION
Lecture 1: AI Overview
Instructors

ViSTEM: Empowering Minds
Your #1 Resource for STEM Excellence.
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