MYSTERYBYTELABS

How to build your own local Agentic AI Agent Locally Complete Agentic AI Course Ollama + Python

Published on 2026-03-11

##AgenticAI##Ollama##LocalLLM##Python##Gradio##AITutorial##qwen locally##qwen

How to build your own local Agentic AI app from scratch using Ollama + Python + Gradio 🚀 Get your free notebook @https://github.com/MysteryBytes-Labs/agentic_ai to follow along.

In this tutorial, you’ll learn how to run powerful LLM workflows fully on your machine, create an interactive chat interface, and understand practical agent patterns like tool-calling and context-aware responses.

Please refer to UV and Python setup video if you are new to Python https://youtu.be/Hvv2j7kpMy8

course notebooks : https://github.com/MysteryBytes-Labs/agentic_ai

What you’ll learn:

Local-first AI setup with Ollama Running models like Qwen/Llama locally Building a Python + Gradio chat app Agentic AI basics: tools, prompts, and memory-style context Beginner-friendly workflow for real-world AI projects

Who this is for:

Python developers AI/ML beginners and intermediates Developers who want private, offline LLM apps If this helped you, like 👍, subscribe 🔔, and comment what tutorial you want next (RAG, multi-agent, or voice agent?).

Chapters: 0:00 - Introduction and Architecture Overview 0:44 - Installing Ollama 1:05 - Lab 1: Running Your Local AI 1:26 - Setting Up Libraries and Imports 1:56 - Ollama's OpenAI-Compatible Endpoint 2:15 - Project Setup with UV Sync 2:33 - Streaming Responses from the Local LLM 3:08 - Structured Chat: System, User and Assistant Roles 3:41 - Calling the Ollama API 4:18 - Lab 2: Tools and Function Calling 4:55 - Introduction to Pydantic 5:21 - Pydantic Models and JSON Schema Generation 6:20 - Defining Tool Schemas 6:47 - Building Multi-Tool Infrastructure 7:52 - The Agentic Loop Explained 8:21 - Real API Integration 8:43 - Tool Constraints and Guardrails 9:23 - Lab 2 Recap 10:04 - Lab 3: Your First Complete Agentic AI Project 10:55 - Setting Up the Personal Knowledge Base 11:20 - Downloading Your LinkedIn Profile 11:41 - Creating Your Personal Summary File 11:43 - Introducing Gradio 12:01 - Pushover Notification Setup 12:23 - Defining Agent Tools 12:47 - Bidirectional Actions 13:05 - Tool Schema and Call Handler 14:23 - Loading Personal Information 14:49 - The Master System Prompt 15:25 - Prompt Engineering Tips 15:37 - Main Conversation Handler 16:08 - Conversation Memory 16:18 - Launching the Gradio Chat Interface 16:42 - Live Demo 19:14 - Congratulations and Next Steps #AgenticAI, #Ollama, #LocalLLM, #Python, #Gradio, #AITutorial

Watch & Comment on YouTube ↗