Langchain for beginners : Build GenAI LLM Apps in Easy Steps

Langchain for beginners : Build GenAI LLM Apps in Easy Steps, available at $44.99, has an average rating of 4.75, with 70 lectures, 6 quizzes, based on 8 reviews, and has 129 subscribers.

You will learn about Learn what LangChain is how it simplifies using LLMs in our applications Use OpenAI LLMS in a python application Use Open Source LLMS like Mistral,Gemma in a python application Run Open Source LLMs on your local machine using OLLAMA Use PromptTemplates to reuse and build dynamic prompts Understand how to use the LangChain expression language Create Simple and Regular Sequential chains using LCEL Work with multiple LLMs in a single chain Learn why and how to maintain Chat History Learn what embeddings are and use the Embeddings Model to find text Similarity Understand what a Vector Store is and use it to store and retrieve Embeddings Understand the process of Retrieval Augmented Generation(RAG) Implement (RAG) to use our own data with LLMs in simple steps Analyze images using Multi Modal Models Build multiple LLM APPs using Streamlit and LangChain All in simple steps This course is ideal for individuals who are Python Developers who want to use LangChain to build GenAI LLM applications or Any students who has completed my Python or OpenAI course and who want to master LanChain It is particularly useful for Python Developers who want to use LangChain to build GenAI LLM applications or Any students who has completed my Python or OpenAI course and who want to master LanChain.

Enroll now: Langchain for beginners : Build GenAI LLM Apps in Easy Steps

Summary

Title: Langchain for beginners : Build GenAI LLM Apps in Easy Steps

Price: $44.99

Average Rating: 4.75

Number of Lectures: 70

Number of Quizzes: 6

Number of Published Lectures: 70

Number of Published Quizzes: 6

Number of Curriculum Items: 83

Number of Published Curriculum Objects: 83

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

• Learn what LangChain is how it simplifies using LLMs in our applications
• Use OpenAI LLMS in a python application
• Use Open Source LLMS like Mistral,Gemma in a python application
• Run Open Source LLMs on your local machine using OLLAMA
• Use PromptTemplates to reuse and build dynamic prompts
• Understand how to use the LangChain expression language
• Create Simple and Regular Sequential chains using LCEL
• Work with multiple LLMs in a single chain
• Learn why and how to maintain Chat History
• Learn what embeddings are and use the Embeddings Model to find text Similarity
• Understand what a Vector Store is and use it to store and retrieve Embeddings
• Understand the process of Retrieval Augmented Generation(RAG)
• Implement (RAG) to use our own data with LLMs in simple steps
• Analyze images using Multi Modal Models
• Build multiple LLM APPs using Streamlit and LangChain
• All in simple steps

Who Should Attend

• Python Developers who want to use LangChain to build GenAI LLM applications
• Any students who has completed my Python or OpenAI course and who want to master LanChain

Target Audiences

• Python Developers who want to use LangChain to build GenAI LLM applications
• Any students who has completed my Python or OpenAI course and who want to master LanChain