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AI-220

Agentic Web

Focus on Agentic Web theory and practical implementation of Agent-to-Agent (A2A) Protocol systems. Explore intelligent agents' interactions in web-based environments, contextual information sharing, and collaboration on distributed tasks. Examine core design principles for web-native, cooperative AI systems and how A2A protocols enable real-time communication in diverse environments.

Duration: 3 months
Prerequisites:
AI-201AI-210

Available Sections:

Section Classes Schedule:
Closes on:
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Price:PKR 7,500

Details

Agentic Web AI-220 focuses on Agentic Web theory and the practical implementation of Agent-to-Agent (A2A) Protocol systems. Students will explore how intelligent agents interact across web-based environments, share contextual information, and collaborate effectively on distributed computational tasks. The course examines core design principles for building web-native, cooperative AI systems and demonstrates how A2A protocols enable real-time communication between agents operating in diverse environments.

Key Learning Modules

Module 1
Agentic Web Theory

Introduce the theoretical foundations of Agentic Web and its role in AI systems.

Module 2
Agent-to-Agent (A2A) Protocol Implementation

Focus on practical implementation of A2A Protocol systems for agent communication.

Module 3
Agent Interactions in Web-Based Environments

Explore how intelligent agents interact across web-based environments.

Module 4
Contextual Information Sharing

Learn techniques for agents to share contextual information effectively.

Module 5
Collaboration on Distributed Computational Tasks

Develop methods for agents to collaborate on distributed tasks.

Module 6
Design Principles and Real-Time Communication

Examine core design principles for web-native AI systems and demonstrate A2A protocols for real-time communication in diverse environments.

Course Outcomes

Understand Agentic Web theory and its applications.

Implement Agent-to-Agent (A2A) Protocol systems practically.

Explore interactions of intelligent agents in web-based environments.

Learn methods for sharing contextual information among agents.

Develop skills in agent collaboration on distributed computational tasks.

Examine core design principles for building web-native, cooperative AI systems.

Demonstrate how A2A protocols enable real-time communication between agents in diverse environments.

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.