Introduction to Agents and Google's Agent Ecosystem
Google Skills
Last updated April 8, 2026
A foundational, no-code introduction to AI agents — software that can reason and act on its own rather than just generate text — and to how Google's tools fit together for building them. Across about three and a half hours it covers what an agent is, how agents differ from a plain language-model API, how different agent types map to business goals, and ends with building a first Gemini Enterprise application to earn a skill badge. The concept courses are free; the hands-on build runs on Google Skills and needs a subscription or credits. No coding is required.
What you'll learn
- What an AI agent is, and its core architecture of models, tools, and orchestration
- How agents differ from a plain large-language-model API by acting autonomously
- Mapping different agent types to business goals and KPIs
- The range from no-code to high-code agent development in Gemini Enterprise
- Building a first Gemini Enterprise application to earn a skill badge
Frequently asked questions about Introduction to Agents and Google's Agent Ecosystem
Who is Introduction to Agents and Google's Agent Ecosystem for?
For business and technical professionals who want a conceptual, no-code understanding of AI agents and how Google's agent tools fit together.
What are the prerequisites for Introduction to Agents and Google's Agent Ecosystem?
None — no coding required; the hands-on build uses Google's Gemini Enterprise (no-code).
Why we suggest this course
It draws a clear line between a chatbot that produces text and an agent that takes autonomous action, then grounds that in real enterprise use cases and a no-code build — a solid conceptual on-ramp before any developer-level agent work. One thing to know: the hands-on portion is tied to Google's Gemini Enterprise product and the GEAR series, so the practical examples sit within that specific ecosystem.