2025 Master Langchain and Ollama – Chatbot, RAG and Agents
2025 Master Langchain and Ollama - Chatbot, RAG and Agents
Master Langchain v0.3, Local LLM Projects, Ollama, LLAMA 3.2 (Lama 3.2), Ollama Chatbot, Ollama and Langchain Tutorial
Product Brand: Udemy
4.8
Udemy Coupon Code for 2025 Master Langchain and Ollama – Chatbot, RAG and Agents Course. Master Langchain v0.3, Local LLM Projects, Ollama, LLAMA 3.2 (Lama 3.2), Ollama Chatbot, Ollama and Langchain Tutorial
Created by Laxmi Kant | KGP Talkie | 14 hours on-demand video course | 1 downloadable resource
Ollama Course Overview
2025 Master Langchain and Ollama – Chatbot, RAG and Agents
This course is a practical guide to integrating Langchain and Ollama to build, automate, and deploy AI applications. Learn to set up these tools, create prompt templates, automate workflows, manage data retrieval, and deploy real-world applications on AWS. Each section is designed to provide you with hands-on skills and experience.
What you’ll learn
- Set up and Integrate Ollama with Langchain: Students will learn how to install, configure, and operate Ollama alongside Langchain.
- Build Custom Chatbots: Learners will develop skills to create chat applications with memory, history, advanced chatbot features using Streamlit and Langchain.
- Use Prompt Templates, Chains, and Output Parsers: Students will master prompt templates and chaining methods (Sequential, Parallel, and Router Chains).
- Deploy Real-World Applications: The course will guide students through deploying applications on AWS EC2
Recommended Ollama Course
LLM Mastery: ChatGPT, Gemini, Claude, Llama3, OpenAI & APIs
Open-source LLMs: Uncensored & secure AI locally with RAG Best seller
Who this course is for:
- Developers aiming to integrate language models into applications.
- Data scientists interested in automating workflows and leveraging document retrieval.
- AI enthusiasts eager to build custom chatbots and conversational tools.
- Professionals seeking skills in deploying applications on AWS and other platforms.
- Learners with basic Python and API knowledge who want to create end-to-end AI solutions.
