Build AI Agents with Agent Platform and Flutter

Google Cloud connects a Flutter interface with its generative AI platform. The published lessons introduce models and tools before integrating AI features in an application. This is a specific integration choice for learners interested in the boundary between mobile UI and a model-backed service.

What you will learn

• Explain the role of Gemini in an application.
• Connect Flutter interfaces with generative AI features.
• Describe an agent integration using platform tools.

Who this suits

Learners exploring AI-enabled Flutter development; preview the app setup and cloud-platform exercises before enrolling.

Before you enroll

Check the Flutter, Dart and package versions used in the exercises. Native iOS builds require a suitable Apple development environment. Cloud services, AI APIs and app-store distribution can have separate requirements and costs beyond course enrollment.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Prototype a fictional question interface and document what happens when a model response is slow, unavailable or unsuitable for display.

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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