Langchain for beginners : Build GenAI LLM Apps in Easy Steps

🌟 Course Title: Langchain for Beginners: Build GenAI LLM Apps in Easy Steps

🚀 Course Headline: A Step-by-Step Guide to Master LangChain 🚀

Greetings, Aspiring AI Developers!

Are you eager to dive into the world of AI-powered language models but feeling overwhelmed by the technicalities? Fear not! Our "Langchain for Beginners" course is here to guide you through the journey of mastering LangChain, from the ground up. 🛠️

Course Goals:

• Gradual Learning: We'll take you from the basics to advanced topics with clear and concise instructions. 📚
• Comprehensive Understanding: Gain insight into why LangChain is indispensable for building AI applications and learn how it simplifies integrating language models into your projects. 🤔
• Hands-On Experience: Get practical by working with essential LangChain features like prompt templates, chains, agents, document loaders, output parsers, and model classes. 🖥️

What You Will Learn:

• Introduction to LangChain: Understand the core concepts of LangChain and how it fits into the broader AI ecosystem. 🔍
• Building Blocks of LangChain: Dive into the nuts and bolts of LangChain, including prompt templates, chains, agents, document loaders, output parsers, and model classes. 🧩
• Creating AI Applications: Discover how to piece together these features to create intelligent and flexible AI applications. 🛠️
• Practical Coding: Write and run code examples to get a hands-on feel for LangChain development. ✍️

Course Structure:

• Concise Chapters: Each chapter targets a specific LangChain programming topic, ensuring you can grasp each concept deeply. 📖
• Interactive Learning: Code along with provided examples to solidify your understanding and enhance your skills. 👩‍💻

By the end of this course, you will:

• Understand what LangChain is and how it simplifies leveraging LLMs in our applications.
• Be proficient in using OpenAI LLMs in a python application.
• Know how to run Open Source LLMs like Mistral and Gemma on your local machine with OLLAMA.
• Master the use of PromptTemplates to create dynamic prompts.
• Get comfortable with the LangChain expression language (LCEL).
• Be able to create Simple and Regular Sequential chains using LCEL.
• Work with multiple LLMs in a single chain.
• Understand the importance of maintaining Chat History.
• Learn about embeddings and use Embeddings Models for text similarity.
• Utilize Vector Stores for storing and retrieving embeddings.
• Grasp the concepts behind Retrieval Augmented Generation (RAG) and implement it using your own data.
• Analyze images with Multi Modal Models.
• Build multiple LLM applications using Streamlit and LangChain. 🚀

Embark on your journey to becoming a LangChain expert today! With our comprehensive, structured, and interactive course, you'll be building your own GenAI LLM applications in no time. Let's get started and transform your AI aspirations into tangible skills! 🌈✨