Build Generative AI Agents with Vertex AI and Flutter from Coursera

What's inside

Syllabus

Introduction

The course consists of two modules: Flutter, Gemini, and Vertex AI - This is the first module of the course that contains four lessons that provide an introduction to the module, and an overview of Generative AI and Gemini, Vertex AI, and Flutter. Generative AI on Vertex AI - This module contains five lessons that include an introduction to the module, and lessons where you learn about Generative AI on Vertex AI, Vertex AI Agent Builder, Vertex AI Search, and using a Reasoning Engine Agent in Gen AI applications.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Integrates Gemini, Google's family of generative AI models, which allows learners to explore and implement cutting-edge AI technology in their applications

Uses Flutter, Google's portable UI toolkit, which is helpful for developers looking to build cross-platform applications with a single codebase

Employs Vertex AI Agent Builder, Google's platform for building and managing AI Agents, which is useful for streamlining the development and deployment of AI-powered applications

Requires learners to integrate an AI Agent with a Flutter App using Vertex AI, which may require familiarity with cloud computing concepts and the Google Cloud ecosystem

Presented by Google Cloud, which is known for its contributions to cloud computing and its expertise in developing and deploying AI and machine learning solutions

Reviews summary

Flutter and vertex ai agents

According to learners, this course offers a unique combination of Flutter mobile development and Google's Vertex AI platform for building AI agents. Students found the hands-on lab integrating an AI agent with a Flutter app to be a particularly useful and practical exercise. However, some reviewers noted that the course assumes prior knowledge in both Flutter and AI concepts, and that coverage of either topic may feel less in-depth than separate, dedicated courses. There were also mentions that the rapidly evolving nature of generative AI tools means some content might feel potentially outdated quickly. Overall, it seems best suited for developers looking to bridge mobile and AI development with Google tech.

Concentrates on one agent type

"The course specifically focuses on using the Reasoning Engine agent."

"It's a bit narrow focusing on just one type of Vertex AI agent."

"Covers the Reasoning Engine but doesn't compare it to other agent types."

Features integration lab

"The lab where you integrate the AI agent into the Flutter app was very practical."

"Doing the hands-on exercise helped solidify the concepts taught."

"I found the integration lab to be the most valuable part of the course."

Learn Flutter and Vertex AI together

"It's great that this course brings together Flutter and Vertex AI; feels very modern."

"Combining mobile development with cutting-edge AI tools from Google is the main draw."

"I appreciated seeing how these distinct technologies can work in tandem."

Content may become outdated

"Given how fast Gen AI changes, I wonder how long the specific tools covered will remain current."

"Vertex AI Agent Builder is a new product, expect changes that might diverge from the course."

"The course covers a snapshot of a quickly moving field."

Coverage might be introductory

"The course gives a good overview, but doesn't provide deep dives into complex topics."

"Wish there was more detailed coverage on optimizing the AI agent or advanced Flutter techniques."

"Felt like a high-level introduction rather than an in-depth guide."

May require Flutter and AI background

"I felt this course assumes you are already familiar with both Flutter and basic AI/ML concepts."

"If you are new to either technology, you might find yourself needing to supplement."

"Didn't go deep enough into Flutter for a beginner, nor deep enough into AI agents for an expert."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build Generative AI Agents with Vertex AI and Flutter with these activities:

Review Dart Fundamentals

Show steps

Strengthen your understanding of Dart, the programming language used by Flutter, to ensure a smoother learning experience when building the app.

Show steps

Review Dart syntax and data types.
Practice writing basic Dart functions.
Explore Dart's object-oriented programming features.

Brush Up on Generative AI Concepts

Show steps

Revisit the core concepts of generative AI to better understand how Gemini and Vertex AI Agent Builder are used in the course.

Browse courses on Generative AI

Show steps

Read articles about generative AI models.
Watch introductory videos on AI and machine learning.
Familiarize yourself with common AI terminology.

Follow Flutter UI Tutorials

Show steps

Practice building basic UI components in Flutter to gain hands-on experience with the framework before integrating it with AI models.

Show steps

Find tutorials on building Flutter layouts.
Implement common UI elements like buttons and text fields.
Experiment with different Flutter widgets.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Simple Gemini API Exploration

Show steps

Begin a small project to directly interact with the Gemini API, allowing you to understand its capabilities and limitations before building a full application.

Show steps

Set up a Google Cloud project and enable the Gemini API.
Write code to send simple text prompts to Gemini.
Analyze the responses and experiment with different prompts.

Read 'Programming Flutter'

Show steps

Supplement your Flutter knowledge with a comprehensive book that covers the framework in detail.

View Programming Flutter: Native, Cross-Platform... on Amazon

Show steps

Read the chapters on UI design and layout.
Study the sections on state management and data handling.
Try the code examples provided in the book.

Blog Post: GenAI Agent Use Cases

Show steps

Solidify your understanding of Vertex AI Agent Builder by researching and writing a blog post about different use cases for generative AI agents.

Show steps

Research real-world applications of AI agents.
Write a blog post summarizing your findings.
Share your blog post on social media or relevant forums.

Enhance the Flutter App with New Features

Show steps

Extend the Flutter app you built in the course by adding new features that leverage the Gemini API, such as image generation or language translation.

Show steps

Identify a new feature to add to the app.
Implement the feature using the Gemini API.
Test the new feature thoroughly.

Career center

Learners who complete Build Generative AI Agents with Vertex AI and Flutter will develop knowledge and skills that may be useful to these careers:

Mobile Application Developer

A Mobile Application Developer creates applications for mobile devices, and this course directly supports this role by teaching how to build such applications using Flutter, Google's portable UI toolkit. This course provides the knowledge necessary to integrate generative AI into mobile applications, specifically by using Google's Gemini models and Vertex AI. This includes using Vertex AI Agent Builder to manage AI agents within the applications. You learn how to build Flutter apps and also how to integrate AI functionality which helps build a foundation for a career as a Mobile Application Developer focused on modern, AI-driven solutions. This course helps you create applications that incorporate AI capabilities.

See salaries and explore the career path for Mobile Application Developer

AI Application Developer

An AI Application Developer builds applications that incorporate artificial intelligence. This course helps you learn how to integrate generative AI models, specifically Gemini, into applications using Flutter, Google's UI toolkit. It also introduces Vertex AI Agent Builder for managing AI agents. This course is particularly beneficial because it focuses on building production-ready applications using Google's AI infrastructure. An AI Application Developer needs to be proficient with building and managing AI agents, and this course covers building generative AI applications as well as integrating an AI agent with a Flutter app. This course provides a specific focus on the tools and technologies used by Google for building AI applications.

See salaries and explore the career path for AI Application Developer

Generative AI Engineer

A Generative AI Engineer specializes in developing and implementing generative AI models. This course directly aligns with this role, because it teaches how to use Google's Gemini models and Vertex AI platform to develop generative AI applications. You learn how to use Vertex AI Agent Builder, a platform designed for building and managing AI agents, allowing a Generative AI Engineer to gain practical experience in a Google environment. The focus on integrating AI agents into applications using Flutter will help you learn about building complete generative AI applications. This knowledge base helps you in building a foundation for a career within the generative AI field.

See salaries and explore the career path for Generative AI Engineer

AI Software Engineer

An AI Software Engineer focuses on developing and maintaining software systems that incorporate artificial intelligence. This course helps you understand how to incorporate generative AI into software applications using Google's Gemini models and Vertex AI. It helps you to understand how to use Vertex AI Agent Builder to construct and manage AI agents and develop production-ready AI applications to satisfy business needs. An AI Software Engineer also needs to be familiar with the tools and processes used to build these applications, and this course covers how to integrate these agents with a Flutter application, which can benefit any AI Software Engineer who wants to build AI applications with Google technologies.

See salaries and explore the career path for AI Software Engineer

Flutter Developer

A Flutter Developer creates user interfaces for cross-platform applications using Google's Flutter framework, and this course offers you a strong foundation. This is because it includes instruction on building applications using Flutter, as well as how to integrate AI functionalities using Google's Gemini models and Vertex AI. You gain hands-on experience with using Vertex AI Agent Builder which helps manage AI agents, and this course will help elevate your skillset as a Flutter developer. Flutter Developers need to stay updated with emerging technologies, and this course is tailored for integrating generative AI into Flutter applications. This course will help you be a well rounded developer prepared for modern AI enabled projects.

See salaries and explore the career path for Flutter Developer

Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models, and this course introduces the use of Google's Gemini models and Vertex AI, specifically Vertex AI Agent Builder. This course is helpful because it provides the practical knowledge to build AI agents and integrate them into applications, which is part of the Machine Learning Engineer’s role. The course focuses on building production ready applications using Google’s infrastructure, useful for any Machine Learning Engineer who wants to work with Google's AI platform. A Machine Learning Engineer needs to understand how to take AI models and integrate them into production, and this course will show you one way to build powerful AI enabled applications.

See salaries and explore the career path for Machine Learning Engineer

Application Architect

An Application Architect designs the structure and components of software applications, and will need a strong understanding of application architecture. This course may be useful as it provides a practical understanding of how AI functionality can be built into modern applications using Flutter, Gemini, and Vertex AI. Learning how to integrate generative AI models and manage AI agents using Vertex AI Agent Builder may help an Application Architect design more intelligent and innovative applications. This course focuses on using Google tools for AI integration, which is something an Application Architect may be helpful to be familiar with.

See salaries and explore the career path for Application Architect

Software Development Engineer

A Software Development Engineer contributes to the development and maintenance of software, and this course may be useful in that it introduces how to build AI enabled software, specifically with Flutter applications, and incorporating Google’s Gemini models and Vertex AI platform. This course focuses on generative AI which can enrich how applications are developed, and as a Software Development Engineer, knowing how to build generative AI software is valuable knowledge. The experience with Vertex AI Agent Builder may be useful, as this platform is used to manage AI agents. This course teaches you one way to add practical AI elements to your software development skills.

See salaries and explore the career path for Software Development Engineer

AI Solutions Consultant

An AI Solutions Consultant advises clients on how to use AI technologies to solve business problems, and this course may show you how to build solutions using Google's tools. A consultant may find it useful to understand how to use Google's Gemini models with Flutter and Vertex AI tools. The course provides insight into using Vertex AI Agent Builder to create generative AI applications. An AI Solutions Consultant needs to be aware of how to implement AI technology, and this course emphasizes the practical side of using AI agents in real world applications, which can be helpful to know.

See salaries and explore the career path for AI Solutions Consultant

Technology Consultant

A Technology Consultant advises businesses on how to use technology to improve their operations, and this course may be helpful. The course introduces using Flutter for building mobile applications with AI capabilities, which is powered by Google's Gemini models and Vertex AI. They may find knowledge of Vertex AI Agent Builder valuable. A Technology Consultant needs to stay up to date on emerging technologies, and this course gives insight into incorporating generative AI into practical applications. Technology consultants may benefit from knowing about building such technology with a major player like Google.

See salaries and explore the career path for Technology Consultant

Technical Project Manager

A Technical Project Manager oversees technology projects, and this course may be helpful in understanding AI projects. This course will show you how to use Flutter, Gemini, and Vertex AI to build AI enabled applications. Knowing how to use Vertex AI Agent Builder may assist in planning and managing projects that involve AI agents. A Technical Project Manager benefits from knowing the technical details of projects, and this course provides a hands-on overview of using Google's tools to build AI applications and will help you manage AI enabled projects.

See salaries and explore the career path for Technical Project Manager

Data Scientist

A Data Scientist analyzes data to extract meaningful insights, and this course may be useful because it introduces the practical application of AI technology. The course includes an introduction to Google's Gemini models and Vertex AI. While this course does not cover traditional data science topics, a Data Scientist will find it helpful to learn how to utilize data in the use of AI agents, and can use this knowledge in building and deploying models in applications. This course provides insight into the practical application of AI, and can round out a Data Scientist's skill set.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical methods to solve problems, and this course may be helpful, as it includes topics related to generative AI. This course introduces how to build and manage AI agents using Vertex AI Agent Builder, integrated with Google's Gemini models, which may be applicable to a Quantitative Analyst who works with complex data. A Quantitative Analyst may find it helpful to learn about how these AI models can be deployed, and may see how data is utilized in generative AI models. Knowing about these models may open new avenues for research.

See salaries and explore the career path for Quantitative Analyst

Research Scientist

A Research Scientist conducts research in a specific field, and this course may be useful in learning about AI application. The course introduces the use of generative AI models with Google's Gemini models, and how to build AI agents with Vertex AI Agent Builder. A Research Scientist may find this knowledge helpful in seeing how to build practical applications using AI technology, and the course shows how these models can be integrated into working solutions. Research Scientists may want to stay up to date on how their models translate to real world applications.

See salaries and explore the career path for Research Scientist

Business Analyst

A Business Analyst helps organizations improve their processes by identifying problems and suggesting solutions, and this course may be useful to understand how AI tools can be used. The course introduces the development of AI applications using Flutter, Gemini, and Vertex AI. A Business Analyst may use the knowledge of practical AI solutions to help suggest future strategies for their organization. This course provides insight into the practical application of AI, which can help businesses innovate and stay competitive. They may find that this course shows some of the practical considerations for adopting AI solutions.

See salaries and explore the career path for Business Analyst

Build Generative AI Agents with Vertex AI and Flutter

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Flutter and vertex ai agents

Activities

Career center

Reading list

Share

Similar courses