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

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

Created by Karthik KK
Udemy 12h 1,679 enrolled English4.5
IT & SoftwareAgentic AI

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

Requirements

  • Basics of Python
  • Enthusiasm to learn the power of LLMs knowledge to enhance your app workflow
  • Enthusiasm to build AI Agents, RAG applications and Testing them

About this course

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!

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FAQs

Is Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM Coupon Code Working?
Absolutely, we manually verify the coupon for this Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM course to ensure it works seamlessly.
How long is the Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM course?
The Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM course is approximately 12 hours long with comprehensive content.
What will I learn in the Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM classes?
Building Chatbots with Historical Information with Langchain, Building RAG application with Vector stores, Embedding and Local LLMs
How do I get this course?
Click the “Enroll Now” button on this page to access the course with our exclusive coupon code applied automatically.