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Python + Ai For Beginners: Build Your Own Local Ai
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| Posted by charlie - 05-11-2026, 06:07 PM |
[center]![[Image: 8d60cd40ed074b483d9a00ecf927aca0.jpg]](https://i127.fastpic.org/big/2026/0511/a0/8d60cd40ed074b483d9a00ecf927aca0.jpg) Python + Ai For Beginners: Build Your Own Local Ai Published 5/2026 Created by Gaurav Khurana MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 11 Lectures ( 2h 45m ) | Size: 3.4 GB[/center] Learn Python from scratch and build a real AI assistant that runs on your own laptop - no cloud bills, no API keys. What you'll learn ⚡ Set up a professional Python project with virtual environments, .env files, and .gitignore. ⚡ Run a Large Language Model on your own laptop with LM Studio - no cloud bill, no API keys ⚡ Make Python-to-LLM calls using the OpenAI SDK against any OpenAI-compatible endpoint. ⚡ Build multi-turn chatbots with persistent message history, system prompts, and personas. Requirements ❗ No prior programming experience needed - Python basics are taught from zero. ❗ A Windows, macOS, or Linux laptop with 8 GB RAM minimum (16 GB recommended) and ~5 GB free disk. ❗ Free tools you'll install during the course: Python 3.11+, VS Code, and LM Studio/Ollama. No paid accounts required. Description Build a real AI assistant on your own laptop - even if you've never written a line of Python. This is a hands-on, beginner-first course that takes you from "what is Python?" to shipping a multi-persona AI assistant that runs entirely on your machine using LM Studio. No paid API keys. No credit card. No rate limits while you learn. What makes this course different ✅Local-first -Everything runs on your laptop with free, open-source tools. ✅Build, don't watch - Every concept is taught through a Python file you actually run. ✅ Two files per topic - A short demo file for follow-along and a longer annotated file to study at your own pace. ✅Real projects - Three graded assignments and a capstone - all QA-flavored so you finish with a portfolio piece. ✅No frameworks until you need them- Pure Python and the OpenAI SDK - that's it. By the end of this course you'll be able to ✅ Set up a professional Python project with venv, .env and .gitignore. ✅ Run a Large Language Model on your own laptop with LM Studio / Ollama. ✅ Make your first Python → LLM API call. ✅ Build multi-turn chatbots with memory and system prompts. ✅ Use the same code with cloud providers like Open Router when you're ready. ✅ Code 5x faster with GitHub Copilot. ✅ Ship a menu-driven Personal AI Assistant with multiple personas. What you'll build 1. Test Case Catalog - a pure-Python data project (Assignment 1). 2. Bug Report Generator - your first real LLM-powered tool (Assignment 2). 3. QA Agent - a multi-skill agent that plans, triages, summarises and assesses risk (Assignment 3). 4. Personal Life Assistant - capstone with multiple AI personas and a menu-driven loop. 5. Defect Triage Assistant with persistent cross-conversation memory. Who this course is for ⭐ Testers, SDETs, and QA engineers who want to add Python and AI skills to their toolkit. Quote:https://nitroflare.com/view/D88532E8E4E3....part1.rar |