What you'll learn
Ten dense episodes, no padding
From hello-world to a tested, authenticated API
Full Win/Mac/Linux setup with VS Code configuration
FastAPI + SQLAlchemy + Postgres + Alembic from scratch
Six focused 15-minute episodes — production patterns, not theory
Real Python code in every episode, drop into any project
Week by week
Week 1 · Basic
Learn Python for backend
Ten tight episodes (plus a 90-second trailer) that take a beginner from print('hello') to a tested, authenticated, async Python API backed by SQLite.
- Ten dense episodes, no padding
- From hello-world to a tested, authenticated API
- FastAPI, Pydantic, SQLite — modern Python stack
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Week 2 · Basic
Become AI App Engineer with practical projects in Python using FastAPI & Gemini
Twenty practical lessons (plus trailer and Win/Mac/Linux setup) that build a deployable AI-powered e-commerce backend in Python with FastAPI and Gemini.
- Full Win/Mac/Linux setup with VS Code configuration
- FastAPI + SQLAlchemy + Postgres + Alembic from scratch
- Google Gemini for descriptions, search, recommendations
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Week 3 · Basic
LLM & AI Application Engineering
Six intermediate Python episodes that turn LLM API calls into production-ready AI applications with RAG, tools, and agents.
- Six focused 15-minute episodes — production patterns, not theory
- Real Python code in every episode, drop into any project
- Covers prompts, RAG, tool calling, async patterns, and agents end-to-end
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Final step · Required
Interview Preparation
The weeks teach the skills; this step rehearses selling them. Mock interview questions, project walk-through practice, and answer patterns for the roles this path targets.
Python Backend DeveloperAI EngineerFull-Stack Developer (Python Focus)API Developer
Tech stack you'll master
Python 3.12+FastAPI, SQLAlchemy, Postgres, AlembicGoogle Gemini, LLM APIs, RAG, AgentsVS Code, Git
Prerequisites
- Basic computer literacy — no backend experience assumed
- A computer with 8GB+ RAM (Windows, macOS, or Linux)
- A Google Gemini or OpenAI API key for the projects
By the end you'll be able to
- Build a tested, authenticated Python API from scratch
- Design FastAPI backends with SQLAlchemy, Postgres and Alembic
- Integrate Gemini for descriptions, search and recommendations
- Turn LLM API calls into production-ready features with RAG, tools and agents
- Ship a deployable AI-powered e-commerce backend end to end