Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- An understanding of AI agents and how they differ from AI models
- The ability to identify and explain core AI agent components and memory systems
- An explanation of different agent orchestration patterns and how to choose among them
- Hands-on experience designing and implementing AI agent safety guardrails
- Knowledge of integrating human oversight into agent workflows
- Understanding and applying strategies to overcome challenges in agentic systems
- Hands-on experience deconstructing real-world AI agent case studies
- Understanding the design and architecture of adaptive and robust AI agent systems
Learning Roadmap
1.
Agent Design Fundamentals
Agent Design Fundamentals
Learn core AI agent components, architecture, and how they perceive, reason, and act. Master orchestration, safety, and key design challenges.
2.
Multi-Agent Conversational Recommender System (MACRS)
Multi-Agent Conversational Recommender System (MACRS)
Explore MACRS, a multi-agent system for goal-directed conversational recommendations. See how it plans, uses reflection, and achieves superior performance.
3.
Nvidia Eureka Learning Agent
Nvidia Eureka Learning Agent
6 Lessons
6 Lessons
Dive into Eureka, an LLM-powered agent that autonomously designs and refines RL reward functions.
4.
Implementing a Eureka-Like Reward Learning Agent with Google ADK
Implementing a Eureka-Like Reward Learning Agent with Google ADK
5 Lessons
5 Lessons
Implement a Eureka-like reward learning system using ADK: generate, evaluate, select, reflect, and iterate reward functions end-to-end.
6.
Designing an AI Agent for Generating LLM Pipelines
Designing an AI Agent for Generating LLM Pipelines
4 Lessons
4 Lessons
Explore ChainBuddy’s innovative solutions for efficient LLM evaluation and workflow generation.
7.
Designing a Web Agent
Designing a Web Agent
5 Lessons
5 Lessons
Explore the development of advanced multimodal web agents for enhanced task performance.
8.
Designing a Multimodal-LLM Agent for Multi-Object Diffusion
Designing a Multimodal-LLM Agent for Multi-Object Diffusion
4 Lessons
4 Lessons
Explore MuLan's innovative approach to enhancing text-to-image generation through interactive, multi-step processes.
Certificate of Completion
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