BYTE SIZE CLASS: Data Engineering & AI: From Data to Deployment

BYTE SIZE CLASS: Data Engineering & AI: From Data to Deployment

Duration: 3 hours

Format: In-person

Audience: Beginner to Intermediate (18+)

Materials Needed:

• Laptop (Python installed or access to Google Colab)
• Basic familiarity with Python (helpful, not required)
• Pen and notebook for notes

Step into the engine behind AI. In this hands-on workshop, you’ll explore how raw data becomes intelligent systems through real-world data engineering and machine learning workflows.

Designed to feel practical and accessible, this session blends guided instruction with a live mini-project—so you don’t just learn concepts, you apply them.

If you’re curious about how AI actually works behind the scenes, this is your entry point.

What You’ll Explore Along the Way:

📊 The Data Lifecycle — Understand how data moves from collection to actionable insights

🔄 Data Engineering Foundations — Learn pipelines, ETL processes, and batch vs. streaming systems

⚡ Real-Time Data with Kafka — See how high-volume data is processed in real time

🧠 Preparing Data for AI — Clean, transform, and engineer features for machine learning

🤖 Model Development — Train and evaluate a classification model using real-world data

🚀 Deployment — Launch your model with an API and test it in action

Hands-On Experience

You’ll work through a guided mini-project focused on digital marketing use cases, where you will:

• Load and explore real-world data
• Clean and preprocess datasets
• Engineer features using industry techniques
• Train and evaluate a machine learning model
• Deploy your model using FastAPI

Skills You’ll Build:

• Data pipeline design and workflow thinking
• ETL and data preprocessing techniques
• Feature engineering fundamentals
• Machine learning model training and evaluation
• Real-time vs. batch processing concepts
• Practical coding experience with Python and SQL

Why This Workshop Matters

AI doesn’t work without data—and strong data workflows are what separate theory from real-world impact. This session breaks down complex systems into clear, practical steps so you can understand how AI is built, deployed, and scaled.

Whether you’re exploring a career in tech, strengthening your current skillset, or building your first AI project, you’ll leave with both knowledge and a working solution to build on.