Part of the AI Curious → AI Builder Challenge

Compass (Why this project)

Most people “consume” AI — they watch tools, news, and demos — but never build anything reusable.

In this session, we’ll switch to a builder mindset using a real, practical use case from our own ecosystem:

DDS_Academy_LLM_Sentiment_Analysis

A simple, high-impact LLM project that helps us analyze DDS Academy / AI Residency feedback (including sarcasm) and turn it into actionable insights.

This webinar follows the engaging, internet-native webinar style: fast pace, clear outcomes, live building, and “worth showing up live.”

Prototype (What we’ll build live)

We will build a working LLM sentiment + tone classifier:

• Labels: positive / negative / sarcastic / neutral
• Prompt template that you can reuse
• Structured JSON output (clean, reliable)
• Temperature + configuration controls
• A simple batch run on sample feedback

You’ll see the exact workflow: prompt → output → refine.

Evidence (How we prove it works)

We won’t just “run it once” and call it done.
We’ll add a light evidence loop:

• Quick sanity-check evaluation on sample feedback
• Identify edge cases (especially sarcasm)
• Improve the prompt and re-test live

This is how real LLM products are built: prototype + evidence.

🎁 Gift for Live Attendees (Worth $100)

Attend live and get free access to Python Essentials FastTrack (value $100).
This is your foundation to keep building beyond the webinar.

✅ Call to Action

Register now to build your first real LLM project live, learn the Compass → Prototype → Evidence mindset, and receive the $100 Python FastTrack gift for attending.