Learn LangChain for AI Applications: Basics to Building PDF Document Search with Prompts, Chains, and Agents
What you will learn
Build an LLM based App from scratch using Streamlit.
Learn how Agents work. Understand the 3 components of Agents and code an Agent in LangChain
Learn how Chains work. Understand and build Simple and Sequential Chains.
Learn what are Prompts and how to use its structure
Understand how LangChain works. What are the components that make this library so effective
Why take this course?
🚀 [Course Headline] Learn LangChain for AI Applications: Basics to Building PDF Document Search with Prompts, Chains, and Agents 📚
Course Overview:
With no prior experience necessary, this Beginner-Friendly LangChain Course is your gateway into developing LLM (Large Language Model) applications. Dive into the world of AI with hands-on coding exercises that build your understanding from the ground up. By the end of this course, you’ll have crafted your own functional AI application for PDF document search! 🧠✨
Why LangChain?
LangChain is quickly becoming the go-to library for integrating LLMs into applications, much like Pandas in Data Science. As a core tool for Data Scientists and Machine Learning professionals alike, mastering LangChain will open up new horizons of possibilities in AI development. 🛠️✨
What You Will Learn:
- LangChain Basics: Grasp the core concepts of Prompts, Chains, and Agents with clear and accessible examples.
- Prompts: Create efficient Prompt templates to automate complex inputs and tasks.
- Chains: Understand how to orchestrate multiple Prompts into powerful Simple and Sequential Chains.
- Agents: Dive into the three components of Agents—Tools, LLMs, and Agent types, and explore tools like Wikipedia, SerpAPI, and LLMmath to enhance your AI’s capabilities.
- Processing PDF Documents: Learn to manipulate and process PDF documents with the help of Large Language Models, including the use of embeddings and vector stores.
- Enhancing Model Performance: Improve querying capabilities using prompts to get the most out of GPT-3.5.
- Deploying Your AI App: Utilize Streamlit to make your AI application accessible and ready for real-world use cases.
Who This Course Is For:
This course is designed for:
- Beginners: Perfect for those who are just starting their journey into the realm of LLM applications.
- Limited Python Knowledge: Ideal if you have a basic grasp of Python, as we’ll break down the code together step by step.
Course Highlights:
- Step-by-Step Guidance: A detailed walkthrough on building an LLM-based AI application for PDF document search from scratch.
- Understanding LangChain: Comprehensive insights into all aspects of LangChain, ensuring you have a solid grasp of its components and functionalities.
- Real-World Application: Practical knowledge for deploying your AI application using Streamlit, making your project ready to tackle real-world problems.
- All Resources Included: Access to all necessary code files and data will be provided to ensure you have everything you need to succeed.
Enroll now and embark on an exciting journey into the world of AI with LangChain! 🌟🤖🚀