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Most people are “AI curious” — they watch demos, save tools, and test prompts.
But real progress happens when you become an AI builder: you ship a prototype, turn it into an MVP, and learn what it takes to make it reliable.

In this community meetup, Mohammad Arshad will share the AI Operating System (AI OS) he uses to move from prototype → MVP → production, using a practical 9-Layer AI Tools Matrix that maps the modern AI stack end-to-end (UI, model APIs, orchestration/agents, RAG, backend, evals/observability, and governance).

What you’ll learn:

• How to choose tools based on your stage: AI Curious vs AI Builder vs AI Shipper
• Where RAG, agents, backend, and evals/observability fit—and why most teams skip them
• Simple starter-stack blueprints for common AI apps (assistants, support bots, internal copilots)
• How to avoid lock-in by keeping components swappable as you scale

By the end, you’ll know exactly what to build next—and what layer you’re missing right now.

We will be doing kahoot quiz and winner will get $100 Python essential certification

Part of the https://academy.decodingdatascience.com/masterclass/aiacceleratorbootcampmarch26