Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM

Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM | Udemy [Update 02/2025]
English | Size: 4.15 GB
Genre: eLearning

Learn Building and Testing AI Agent, ChatBot, RAG with LangChain and LangSmith using Ollama and Local LLMs and RAGAs

What you’ll learn
Running LLMs in Local Machine for development of LLM application
Understand the power of Langchain for building Local LLM application
Understand Chain, Prompts, ChatPromptTemplates, ChatMessageHistory
Building Chatbots with Historical Information with Langchain
Building RAG application with Vector stores, Embedding and Local LLMs
Understanding and Building Tools for LLMs
Building AI Agents with Tooling support for LLMs
Testing/Evaluating AI Agent & RAG Application with RAGAs

Build & Test AI Agents, Chatbots, and RAG with Ollama & Local LLMs

This course is designed for complete beginners—even if you have zero knowledge of LangChain, you’ll learn step by step how to build LLM-based applications using local Large Language Models (LLMs).

We’ll go beyond development and dive into evaluating and testing AI agents, RAG applications, and chatbots using RAGAs to ensure they deliver accurate and reliable results, following key industry metrics for AI performance.

What You’ll Learn:

Fundamentals of LangChain & LangSmith
Chat Message History in LangChain for storing conversation data
Running Parallel & Multiple Chains (RunnableParallels, etc.)
Building Chatbots with LangChain & Streamlit (with message history)
Understanding Tools and Tool chains in LLM
Building Tools and Custom Tools for LLM
Creating AI Agents using LangChain
Implementing RAG with vector stores & local LLM embeddings
Using AI Agents and RAG with Tooling while building LLM Apps
Optimizing & Debugging AI applications with LangSmith
Evaluating & Testing LLM applications with RAGAs
Real-world projects & hands-on testing strategies
Assessing RAG & AI Agents with RAGAs

This entire course is taught inside Jupyter Notebook with Visual Studio, providing an interactive, guided experience where you can run the code seamlessly and follow along effortlessly.

By the end of this course, you’ll be able to build, test, and optimize AI-powered applications with confidence!