• views: 207
• date: 11 May 2026
• posted by: 0nelove

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.




   
   
   

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