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Details

Ship Your RAG Application – Free Hands-On Masterclass

# When & Where

  • Date/Time: Saturday, 1 November · 11:00 AM–12:30 PM GST
  • Format: Live online (link sent after RSVP)

# Who It’s For

Product builders, data scientists, ML engineers, founders, and students who want to move from tutorials to a working Retrieval-Augmented Generation (RAG) app.

# What You’ll Learn (Outcomes)

  • Build a minimal RAG pipeline (ingest → embed → retrieve → generate)
  • Evaluate quality with simple metrics (accuracy/faithfulness using RAGAS-style checks)
  • Package a demo UI (Gradio) and deploy to Hugging Face Spaces
  • Templates and a checklist so you can replicate after the session

# Agenda (90 minutes)

  1. Concept & Architecture (10 min): RAG vs. fine-tuning, where RAG wins
  2. Build (35 min):
  3. Load docs → chunk → embed (OpenAI/HF)
  • Vector store (FAISS/Chroma) + retrieval
  • Generation with an LLM (OpenAI/HF Inference)
  1. Evaluate (15 min): quick metrics and failure modes
  2. Ship (20 min): Gradio UI + Space setup (repo, `app.py`, `requirements.txt`)
  3. Q&A + Next Steps (10 min)

# Tech Stack (demo)

Python, Gradio, FAISS/Chroma, OpenAI or HF models, RAGAS-style evaluation, Hugging Face Spaces.

# Prerequisites

  • Basic Python
  • Accounts: GitHub and Hugging Face
  • Laptop with a browser; optional OpenAI API key (or use HF Inference)

# You’ll Receive

  • Starter repo with code templates
  • Deployment checklist
  • Slides + notes (recording not provided)

# Speaker

Mohammad Arshad — Founder, Decoding Data Science; Principal Data Scientist; mentor to builders across MENA and beyond.

# Registration

Reserve your seat here: [Add your registration link]
Limited spots to keep it interactive.

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