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Python AI, Automation & Backend Development

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Python AI, Automation & Backend Development

Rating: 4.8

Learn modern Python for automation, data handling, APIs, AI integrations, and production-ready backend workflows.

About This Course

This course focuses on practical Python used in current software teams: clean scripting, typed code, automation, API development, database work, testing, and AI-assisted workflows. You will build tools that process files, call APIs, automate repetitive tasks, and expose backend services with FastAPI.

Real Projects

  • Business data automation script
  • FastAPI backend with database integration
  • Web scraping and reporting pipeline
  • AI-powered content or support assistant prototype

Course Objectives

Write clean Python using functions, modules, virtual environments, typing, and error handling

Automate file processing, Excel/CSV workflows, web requests, and repetitive business tasks

Build FastAPI services with validation, database models, authentication basics, and testing

Integrate AI APIs responsibly with prompts, structured outputs, logging, and retry handling

Course Requirements

No advanced programming experience required

Basic computer and internet usage

Laptop with Python, VS Code, and Git installed

Course Content

Python Core and Developer Workflow 2 Lessons
Python setup, VS Code, virtual environments, packages, and Git workflow Preview 24:00
Functions, collections, files, exceptions, and reusable modules 36:00
CSV, Excel, JSON, web requests, scraping basics, and report generation Preview 40:00
FastAPI routes, validation, database access, and authentication basics 44:00
AI API calls, prompt structure, tool-style outputs, and reliability patterns 42:00
Testing, environment variables, Docker basics, and deployment overview 34:00