Everything you might want to know before registering.
About the workshop
Do I need prior AI/ML experience?
No. You need to be comfortable writing basic code in Python or JavaScript. Every AI concept — embeddings, vector search, retrieval — is taught from first principles, with no assumed background in machine learning.
What exactly will I build?
A production-style RAG chatbot that answers questions about documents you upload. You'll build document loading, chunking, embeddings, vector storage, retrieval, and LLM integration yourself, mission by mission.
Is this just a tutorial I could find online?
No. The workshop is built around discussion-first missions: before any code is written, you talk through why a component exists. You'll also intentionally break the system to learn how to debug it.
Logistics
When is the workshop?
August 9, 2026, from 2:00 PM to 6:00 PM IST. You'll get a calendar invite by email after registering.
Is it online or in-person?
Fully online, live, and interactive.
What if I can't attend live?
You'll receive the full workshop recording, so you can complete every mission at your own pace.
What do I need to bring?
Just a laptop. Setup instructions — what to install and how — are emailed after registration, ahead of the workshop.
Payment & registration
How much does it cost?
₹599, or ₹499 with the code FLAT100 applied at checkout.
What payment methods are supported?
Payments are processed securely through Razorpay, which supports UPI, cards, netbanking, and wallets.
Will I get a confirmation after paying?
Yes — you'll receive an email confirmation immediately after payment, followed by setup instructions ahead of the workshop.
After the workshop
Do I get a certificate?
Yes, every participant who completes the workshop receives a certificate of completion.
What's in the resource pack?
A post-workshop pack with the completed reference project, further reading, and pointers on where to take the architecture next.
Can I keep working on the project after?
Yes — the starter repo and your completed missions are yours to keep, extend, and reuse.
Still have a question?
hello@deepdive.dev