AI-310
Planet-Scale Distributed AI Agents
Cover enterprise-grade distributed application runtime environments with focus on Distributed Application Runtime (Dapr) implementation, managed database systems, and messaging architectures. Design and implement planet-scale AI agent networks for global distributed infrastructure.
Available Sections:
Details
Planet-Scale Distributed AI Agents The capstone course in distributed AI systems covers enterprise-grade distributed application runtime environments, focusing on Distributed Application Runtime (Dapr) implementation alongside managed database systems and messaging architectures. Students will design and implement planet-scale AI agent networks capable of operating across global distributed infrastructure.
Key Learning Modules
Module 1Enterprise-Grade Distributed Runtime Environments
Introduce enterprise-grade environments for distributed AI systems.
Module 2Distributed Application Runtime (Dapr) Implementation
Focus on implementing Dapr in distributed AI applications.
Module 3Managed Database Systems
Explore integration of managed databases in AI agent networks.
Module 4Messaging Architectures
Apply messaging systems for communication in distributed AI.
Module 5Designing Planet-Scale AI Networks
Learn to design networks for planet-scale AI agents.
Module 6Implementing Global Distributed Infrastructure
Implement AI agents operating across global infrastructure.
Course Outcomes
Understand enterprise-grade distributed application runtime environments.
Implement Distributed Application Runtime (Dapr) in AI systems.
Integrate managed database systems for distributed AI.
Apply messaging architectures in AI agent networks.
Design planet-scale AI agent networks.
Implement AI agents capable of operating across global distributed infrastructure.
Prerequisites
Note: These prerequisites provide essential knowledge for success in this course. If you haven't completed these courses, consider taking them first or reviewing the relevant materials.