The Applied AI Masterclass by Arpit Bhayani is a rigorous, implementation-focused program designed for engineers who want to move beyond simple AI experimentation and learn how to build reliable AI systems for production. Taught by a Principal Engineer with extensive experience at Razorpay and Google, the course strictly focuses on applied engineering not deep learning theory. Over three weeks, you will build 24 prototypes and 7 complete agentic systems using Python. The curriculum dives deep into reliable LLM prompting, Retrieval-Augmented Generation (RAG) at scale, creating agents with memory and tools, resolving multi-agent deadlocks, and implementing AI safety evaluations. By the end of the course, you will understand the critical architecture patterns needed to deploy fault-tolerant, scalable AI products in real enterprise environments.