Python + Ai For Beginners Build Your Own Local Ai

[Emperor2011]

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
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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.



https://rapidgator.net/file/17eb758...inners_Build_Your_Own_Local_AI.part1.rar.html
https://rapidgator.net/file/3bbcbd2...inners_Build_Your_Own_Local_AI.part2.rar.html
https://rapidgator.net/file/ae4032a...inners_Build_Your_Own_Local_AI.part3.rar.html
https://rapidgator.net/file/a1b225b...inners_Build_Your_Own_Local_AI.part4.rar.html