AI Agents: From Prompts to Multi-Agent Systems

UC Davis organizes the agent discussion around the information and coordination a task needs. Generative AI foundations lead into personalization, contextualization and orchestration. The beginner course offers an AI-literacy route before a learner chooses an implementation framework.

What you will learn

• Explain how context changes an AI workflow.
• Distinguish personalization from task-specific information.
• Recognize the purpose of orchestration in an agent system.

Who this suits

Learners building AI literacy, with no specialist prerequisite listed.

Before you enroll

The conceptual scope differs from a full programming course. Follow it with an implementation exercise if your goal is to build and operate an agent application.

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Put it into practice

Describe a fictional multi-step research task. Identify the context needed at each step and explain whether one agent or several coordinated roles would make the workflow clearer.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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