Humanoid university orientation robot powered by Azure Cognitive Services integrates Raspberry Pi 4 and Arduino Mega hardware with cloud-based AI for student interaction and autonomous navigation. The architecture routes student input through Azure Speech Services for speech-to-text, Azure Computer Vision for face recognition, and Azure Language Understanding for intent detection, with responses generated by Azure OpenAI and delivered via text-to-speech synthesis. Navigation and obstacle avoidance operate on-device via ultrasonic/LiDAR sensors feeding into a path-planning system that controls wheel and servo motors. Azure Application Insights and Monitor provide real-time telemetry, alerting, and centralized log analytics, while Azure Key Vault secures API credentials. This hybrid edge-cloud design demonstrates how to build responsive, scalable autonomous systems that combine local control with intelligent cloud processing for educational robotics applications.