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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.

Duration: 3 months
Prerequisites:

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Section Classes Schedule:
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Price:PKR 7,500

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 1
Enterprise-Grade Distributed Runtime Environments

Introduce enterprise-grade environments for distributed AI systems.

Module 2
Distributed Application Runtime (Dapr) Implementation

Focus on implementing Dapr in distributed AI applications.

Module 3
Managed Database Systems

Explore integration of managed databases in AI agent networks.

Module 4
Messaging Architectures

Apply messaging systems for communication in distributed AI.

Module 5
Designing Planet-Scale AI Networks

Learn to design networks for planet-scale AI agents.

Module 6
Implementing 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.