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.
Zia Tutor AI
Zia Tutor AI is a personal learning agent built as a digital twin of Zia Khan. It teaches the Agent Factory curriculum, remembers where you stopped, continues across sessions and weeks, teaches in the sequence appropriate for you, and checks whether you understood the previous concept before moving on.
Its mission is to help you gain the expertise to build AI Workers and Digital FTEs, and to become a Forward Deployed Engineer.
Learn MoreDetails
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.
What You'll Learn
Module 1Agentic Web Theory
Introduce the theoretical foundations of Agentic Web and its role in AI systems.
Module 2Agent-to-Agent (A2A) Protocol Implementation
Focus on practical implementation of A2A Protocol systems for agent communication.
Module 3Agent Interactions in Web-Based Environments
Explore how intelligent agents interact across web-based environments.
Module 4Contextual Information Sharing
Learn techniques for agents to share contextual information effectively.
Module 5Collaboration on Distributed Computational Tasks
Develop methods for agents to collaborate on distributed tasks.
Module 6Design 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.