BUILD AN AI ETL DATA ENGINEERING PIPELINE
Build. Connect. Chat with Your Data.
Ever wondered how to build a smart data pipeline that doesn’t just collect data but also lets you talk to it?
In this hands-on session, you’ll learn to build a complete AI-powered data pipeline from scratch in two exciting parts:
🔹 Part 1: Collect real-time weather data from an online API, clean it, and store it in a PostgreSQL database using Airflow, Docker, and Python.
🔹 Part 2: Bring the data to life by creating an AI assistant using OpenAI and Streamlit. Ask questions in English or Kiswahili — the assistant will search your database and respond intelligently.
Whether you're a budding data engineer or a curious AI enthusiast, this is a great opportunity to explore how AI can be layered onto data infrastructure.
Prerequisites: Basic knowledge of Python (we’ll use functions and some OOP).
Note: This is a hands-on session — spaces are limited to ensure maximum engagement and support. Secure your slot now!