# AI Is Not Magic: From Prompts to Your First Fine-Tuned Classifier

> Be honest: how much of your week is spent begging an LLM API to please just return a valid JSON object? For most software engineers, calling an AI API feels safe, while "fine-tuning" sounds like…

- **URL:** https://zomra.io/free-sessions/ai-is-not-magic-from-prompts-to-your-first-fine-tuned-classifier
- **Type:** Free session
- **Last updated:** May 16, 2026
- **Starts:** May 9, 2026 at 3:00 PM
- **Duration:** 60 minutes
- **Hosted by:** Ahmed Wasfy
- **Registered attendees:** 160
- **Price:** Free

## Why attend

Be honest: how much of your week is spent begging an LLM API to _please_ just return a valid JSON object? For most software engineers, calling an AI API feels safe, while "fine-tuning" sounds like dark magic reserved for ML researchers. But when standard prompts cap out at 80% accuracy, and unpredictable text breaks your downstream parsers, you need a better way.

We are cutting through the hype to show you that if you know how to write a unit test, log an error, or deploy a microservice, you already have the skills to build a custom classifier. Join us to stop relying on "vibes-based" prompt engineering and learn how to apply true software engineering rigor to build reliable, production-ready AI.

## What you will learn

- The Evolution of Classification: Tracing the journey from brittle Regex and IF/THEN conditions to Prompting and RAG—and why they cap out at 80% accuracy.
- The Fine-Tuning Fix: How custom models solve the consistency, format control, and scaling issues that prompts leave behind.
- The Decision Framework: How to weigh cost, latency, and accuracy to know exactly when to make the jump to a custom model.
- Data & Training: Prepping real-world logs to train your first classifier while avoiding bad labels and overfitting.
- Prototype to Production: Evaluating, debugging, and safely deploying your AI classifier like a software engineer.

## Requirements

- Technical Baseline: Comfort with standard REST API requests, parsing JSON, and any programming language (code examples will be in Python, but the concepts apply universally).
- Prior AI Experience: You do not need a machine learning background or a math PhD. You just need to have tried—and been frustrated by—standard prompt engineering.
- What to Bring: Bring your laptop if you want to follow along with the code examples, and a readiness to treat AI as a standard software component rather than a black box.

## Registration

Register at https://zomra.io/free-sessions/ai-is-not-magic-from-prompts-to-your-first-fine-tuned-classifier