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!