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Master Langchain v0.3, Local LLM Projects, Ollama, LLAMA 3.2 (Lama 3.2), Ollama Chatbot, Ollama and Langchain Tutorial
Updated on Sep, 2026
Programming, Data Science, LangChain
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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.
Ollama & Langchain Setup
Complete setup and installation of Ollama and Langchain.
Configure base URLs and handle direct API calls.
Establish the environment for efficient integration.
Understand AI, human, and system message prompts.
Use AIPromptTemplate, Human, System, and ChatMessagePromptTemplate to shape responses.
Explore the invoke method to control the model's behavior.
Chains for Workflow Automation
Learn Sequential, Parallel, and Router Chains to build flexible workflows.
Work with custom chains and explore Chain Runnables for added automation.
Implement real-world workflows using Langchain's chaining capabilities.
Format data with parsers like JSON, CSV, Markdown, and Pydantic.
Parse structured output and use date-time output handling for organized data.
Use BaseChatMessageHistory and InMemoryChatMessageHistory for managing chat sessions.
Create chat applications with memory to improve user experience.
Build and Deploy Chatbots
Build a chatbot application using Streamlit.
Maintain chat history and handle user inputs efficiently.
Document Loaders and Retrievals
Work with loaders for web pages, PDFs, HTML data.
Retrieve and summarize documents, convert text data, and use vector stores.
Vector Stores and Retrievals
Integrate vector stores for document retrieval using FAISS and Chroma.
Reload retrievers, index documents, and enhance retrieval accuracy.
Tool Calling and Custom Agents
Set up tools for Tavily Search, PubMed, Wikipedia, and more.
Design custom tools that can be used with the Agents and execute step-by-step instructions.
Real-World Integrations
Execute text-based queries on MySQL.
Parse LinkedIn Profile with LLM
Parse Job Resume with LLM
Deploy LLAMA with OLLAMA on AWS
Developers and data scientists who want to use Langchain and Ollama for AI applications.
AI enthusiasts looking to automate workflows and create document retrieval systems.
Professionals needing to build end-to-end chatbots or deploy applications on AWS.
Learners with basic Python knowledge who want practical experience with real-world AI tools.
Students by the end of this course would be practically enabled to integrate Langchain and Ollama efficiently: Set up and integrate Langchain and Ollama with an understanding of proficiency in AI application. Create prompt templates and usage for AI model customization. Understanding and implementing the automation of the workflow using chains in Langchain. Master the output parsing that uses formats, which include JSON, CSV, Markdown, and Pydantic. Develop memory-enabled AI chatbots that help improve interaction with users Use document loaders and vector stores for efficient retrieval of data. Design tools and bespoke agents to help in solving AI real-world problems Explore practical use cases with the integration of LinkedIn parsing, resume parsing, MySQL queries and much more in the LLM. Deploying the AI application which includes LLAMA with OLLAMA, onto AWS as the production-ready deployment Complete, end-to-end AI development as per particular use cases.
Prerequisites for the Course
Basic Python Programming Knowledge:
Familiarity with APIs and Web Requests:
Basic Understanding of Machine Learning Concepts:
Access to a Computer with Internet Connection:
Interest in Practical AI Applications:
Check out the detailed breakdown of what’s inside the course
I am AVP, Data Science at Join Ventures, and have been Ph.D. Scholar at the Indian Institute of Technology (IIT), Kharagpur. I also co-founded a company, mBreath Technologies. I have 8+ years of experience in data science, team management, business development, and customer profiling. I have worked with startups and MNCs. You can join me at my YouTube channel KGPTalkie.
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