Agentic System Design - Agentic System Design

Agentic System Design

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1.Agent Design Fundamentals

Introduction to AI Agents Agent Architecture: Core Agent Components Agent Architecture: Components Interaction and Agent Memory Structuring Agent Behavior: Agent Orchestration Patterns Building Trustworthy Agents: Guardrails and Human Oversight Key Challenges and Design Strategies in Agentic AI Systems

2.Multi-Agent Conversational Recommender System (MACRS)

Introduction to MACRS and the Design Challenge MACRS Multi-Agent Act Planning Framework MACRS User Feedback-Aware Reflection Mechanism Evaluating MACRS: Performance and Insights

3.Nvidia Eureka Learning Agent

Eureka: Automating Reward Design with Coding LLMs Eureka’s Zero-Shot Reward Generation Eureka’s Evolutionary Search for Iterative Improvement Eureka's Reward Reflection Mechanism Eureka from Human Feedback and Novel Reward Discovery Evaluating Eureka: Performance and Insights

4.Applying Agentic Design Principles

Thought Exercise: Design a Smart Parking Agent System

5.Designing an AI Agent for Generating LLM Pipelines

Introduction to ChainBuddy and the “Blank Page Problem”The Requirement-Gathering Chat Assistant The Multi-Agent Pipeline Generation Framework Evaluating ChainBuddy: Performance, Usability, and Design Insight

6. Designing a Web Agent

The Multimodal Web Agent Challenge WebVoyager’s Architecture: A Multimodal ReAct Loop Text vs. Multimodal Web Agents in a Real-World Task Evaluating WebVoyager and Design Insights Thought Exercise: Designing a Self-Improving Web Agent

7.Designing a Multimodal-LLM Agent for Multi-Object Diffusion

Introduction to MuLan and the Multi-Object Generation Challenge MuLan’s Planning and Progressive Generation VLM-Feedback Control and Human-in-the-Loop Interaction Evaluating MuLan: Performance and Design Insights

8.Thought Exercise: AI Hospital

Design a Multi-Agent Medical Diagnosis System

9.Wrapping up

Mock Interview

Agentic System Design