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Google Cloud Training

In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow.

Duet AI was renamed to Gemini, our next-generation model.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores Gemini, a cutting-edge AI-powered tool that assists developers
Taught by Google Cloud Training, recognized for their expertise in cloud computing
Ideal for application developers seeking to enhance their workflow
Includes hands-on labs, providing practical experience with Gemini
Guides developers in leveraging Gemini for code generation and optimization
Requires learners to have a basic understanding of development concepts and practices

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Reviews summary

Gemini for app developers: a practical introduction

According to students, this course offers a practical introduction to leveraging Gemini for application development. The hands-on labs are consistently praised as instrumental for understanding Gemini's integration into real workflows, aiding in code generation and explaining code. While it's considered excellent for beginners and helps boost productivity, some experienced developers felt it lacked advanced depth. A few also noted an assumed Google Cloud services familiarity. Overall, it provides a solid foundation.
Some prior familiarity with Google Cloud services is beneficial.
"Some prior knowledge of Google Cloud services would be very helpful, as it assumes some familiarity."
"It assumes some familiarity which isn't explicitly stated as a prerequisite."
"I would recommend reviewing basic Google Cloud concepts before starting this course."
Offers a solid and clear introduction to Gemini for new users.
"A solid introduction to using Gemini for app development."
"The course explains complex concepts simply."
"Great for getting started, excellent for a general introduction."
Helps developers significantly improve their application development workflow.
"It definitely boosted my productivity."
"Absolutely essential for any developer looking to leverage AI."
"I now use Gemini daily in my development work after taking this course."
Provides valuable hands-on experience with Gemini for development.
"The hands-on labs were instrumental in understanding how Gemini integrates into a real development workflow."
"The demos were clear and concise. The labs truly made a difference in applying the concepts."
"The hands-on coding and projects are the strongest part of the course for me, they are brilliant!"
May be too basic for experienced developers seeking advanced topics.
"I felt it could delve deeper into more advanced use cases or fine-tuning techniques."
"If you're already familiar with generative AI, it might feel a bit basic."
"The depth isn't there for experienced developers. I expected more sophisticated scenarios."

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 Gemini for Application Developers with these activities:
Organize and Review Course Materials
Enhance your learning experience by organizing and reviewing key course materials such as lecture notes, assignments, and discussion forum posts.
Show steps
  • Gather and organize all relevant course materials in a structured manner.
  • Review the materials regularly to reinforce your understanding.
  • Summarize key concepts and note any areas that require further clarification.
Seek Mentorship from Experienced Gemini Developers
Accelerate your learning by connecting with experienced Gemini developers who can provide personalized guidance and support.
Browse courses on Gemini
Show steps
  • Identify potential mentors through professional networks or online platforms.
  • Reach out and express your interest in receiving mentorship.
  • Establish clear communication channels and schedule regular meetings.
  • Actively seek advice, feedback, and support from your mentor.
Read Introduction to AI
Review the fundamentals of AI to strengthen your understanding of core concepts discussed in this course.
Show steps
  • Read chapters 1-3 to gain a foundational understanding of AI.
  • Summarize key concepts and note any questions you have.
  • Discuss your findings with a peer or mentor to enhance comprehension.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Watch videos on cloud best practices
Supplement your understanding of cloud services by watching expert videos on best practices.
Browse courses on Cloud Best Practices
Show steps
  • Identify reputable sources for cloud best practices videos.
  • Watch videos on topics relevant to the course material.
  • Take notes and reflect on the key takeaways.
Complete Google Cloud Platform Fundamentals
Familiarize yourself with the Google Cloud Platform to complement the course material on Gemini's integration with GCP.
Browse courses on Google Cloud Platform
Show steps
  • Enroll in the 'Google Cloud Platform Fundamentals' Coursera course.
  • Complete the interactive tutorials and exercises provided in the course.
  • Build a sample application using GCP services to apply your learnings.
Run code snippets
Reinforce your understanding of code by running code snippets discussed in the course.
Browse courses on code snippets
Show steps
  • Identify a code snippet from the course material.
  • Set up a development environment.
  • Run the code snippet and observe the output.
  • Modify the code and analyze the differences in output.
Participate in a study group
Enhance your understanding by engaging in discussions and sharing knowledge with peers.
Browse courses on Collaboration
Show steps
  • Find or form a study group with fellow course participants.
  • Establish regular meeting times and a communication platform.
  • Prepare for each session by reviewing course material.
  • Actively participate in discussions and contribute insights.
Build Applications with Gemini Hands-on Lab
Enhance your practical skills by completing the hands-on lab provided in the course, enabling you to build applications leveraging Gemini's capabilities.
Browse courses on Gemini
Show steps
  • Set up your development environment and install the necessary tools.
  • Follow the step-by-step instructions provided in the lab.
  • Troubleshoot any issues you encounter during the process.
Build a simple web application
Apply your knowledge by building a web application that utilizes cloud services covered in the course.
Browse courses on Web Applications
Show steps
  • Design the application's architecture and functionality.
  • Create the application's frontend and backend components.
  • Deploy the application to a cloud platform.
  • Test the application and make necessary adjustments.
Host a Study Group on Gemini's Code Generation
Deepen your understanding of Gemini's code generation capabilities by leading a study group and facilitating discussions with peers.
Browse courses on Gemini
Show steps
  • Prepare a structured agenda focusing on specific aspects of code generation.
  • Invite classmates to join the study group and assign roles.
  • Lead discussions, encourage active participation, and provide guidance.
Write a blog post on a cloud-related topic
Share your knowledge and reinforce your understanding by writing a blog post about a cloud topic discussed in the course.
Browse courses on Cloud Technology
Show steps
  • Choose a topic related to the course material.
  • Research the topic to gather in-depth information.
  • Write the blog post, ensuring clarity and accuracy.
  • Publish the blog post on a relevant platform.
Write a blog post on Gemini's Applications
Solidify your understanding of Gemini's capabilities by creating a blog post that explores its applications in various domains.
Browse courses on Gemini
Show steps
  • Research different use cases of Gemini in industries such as healthcare, finance, and education.
  • Identify key benefits and challenges of using Gemini for specific tasks.
  • Write a well-structured blog post outlining your findings and insights.
Contribute to Gemini's Documentation
Enhance your understanding of Gemini's functionality and contribute to the community by identifying and improving areas in its documentation.
Browse courses on Gemini
Show steps
  • Review the existing documentation and identify potential improvements.
  • Submit pull requests with your proposed changes, ensuring they align with the project's style and standards.
  • Collaborate with the Gemini team to refine and incorporate your contributions.

Career center

Learners who complete Gemini for Application Developers will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Gemini for Application Developers.
Serves as the definitive engineering blueprint for building production applications on multimodal foundation models like Google Gemini, covering long-context prompting, retrieval-augmented generation, agentic tool calling, evaluation pipelines, and latency optimization.
Teaches both developers and business builders how to structure reliable system instructions, few-shot examples, structured JSON outputs, and multimodal chains across Google Gemini and frontier LLM APIs.
Provides a comprehensive guide to GCP services, including architecture, deployment, and best practices. It great resource for students and professionals who want to learn how to use GCP to build cloud applications.
Provides a practical guide to GCP services, including architecture, deployment, and best practices. It great resource for developers who want to learn how to use GCP to build real-world cloud applications.
Is fundamental for anyone involved in application development, regardless of experience level. It provides practical principles and patterns for writing code that is readable, maintainable, and testable. While not a textbook on a specific technology, its concepts are universally applicable and essential for building robust applications. It is widely regarded as a must-read for developers.
Bridges no-code/low-code citizen development and full-stack software engineering, demonstrating how Google Gemini, GitHub Copilot, and natural-language AI assistants accelerate application prototyping, testing, and deployment.
Offers a wide range of practical advice on software development, focusing on creating better software and continuously improving as a developer. It covers topics such as personal responsibility, career development, and architectural techniques. It's a valuable resource for gaining a broader understanding of the craft of application development and is considered a classic.
This seminal work, often referred to as the 'Gang of Four' book, introduces fundamental design patterns for object-oriented software. Understanding these patterns is crucial for designing flexible and maintainable applications. It's a classic that provides a deep understanding of software design principles. It valuable reference for developers and architects.
Illustrates with visual clarity how modern transformer foundation models represent text and multimodal inputs, perform semantic search, and power intelligent conversational and agentic applications.
Foundational text on the principles and practices of Continuous Delivery, a crucial aspect of modern application development. It explains how to automate the build, test, and deployment process to enable rapid and reliable software releases. It's highly relevant for understanding contemporary development workflows and DevOps practices.
Authored by Google's Kubernetes experts, this book covers the fundamentals and advanced topics of Google Kubernetes Engine, providing deep insights into container orchestration and management.
Focuses specifically on invoking Google Gemini from Python to generate application code, automate data processing workflows, debug scripts, and prototype AI-powered services rapidly.
Provides a collection of recipes that show you how to use GCP services to solve real-world problems. It great resource for developers who want to learn how to use GCP effectively.
Provides a practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.
Comprehensive guide to the challenges of building data-intensive applications. It explores various data storage and processing technologies and the trade-offs involved in designing systems that are reliable, scalable, and maintainable. It's a crucial resource for developers and architects working with large-scale data systems.
Provides a comprehensive overview of microservices architecture, a popular approach for building scalable and resilient applications. It covers various aspects, including modeling, integration, testing, deployment, and monitoring of microservices. It's essential reading for developers and architects working with or planning to adopt microservices. The second edition complete rewrite covering all aspects of the software delivery process impacted by adopting a microservice architecture.
This handbook provides a comprehensive guide to understanding and implementing DevOps practices. It covers the cultural, automation, lean, measurement, and recovery aspects of DevOps. It's essential reading for anyone involved in the software delivery pipeline and looking to improve collaboration and efficiency.
Based on extensive research, this book provides data-driven insights into the practices that drive high performance in software development organizations. It connects lean principles, DevOps, and cloud computing to organizational performance. It's valuable for understanding the impact of technical practices on business outcomes and key resource for contemporary discussions in the field.
Walks practitioners through architecting low-code and code-first generative AI applications using orchestration frameworks, vector databases, memory buffers, and multimodal foundation model APIs.
Is essential for learning how to improve the design of existing codebases without introducing new bugs. It provides a catalog of refactorings and explains when and why to apply them. It's a practical guide for maintaining and evolving applications, crucial for professional developers working with existing systems. The second edition is updated with a more functional approach and uses JavaScript examples.
Presents an approach to software development that focuses on modeling the business domain. It provides strategies for managing complexity in large and complex applications by aligning the software design with the business needs. It is particularly valuable for experienced developers and architects working on complex enterprise systems.
Unpacks the underlying neural architecture of generative foundation models, showing technical readers how attention mechanisms, pretraining, and instruction tuning operate beneath the Gemini API.
Architects end-to-end generative AI and machine learning workloads on Google Cloud, showing solutions builders how to operationalize Vertex AI, Gemini models, data pipelines, and low-code AutoML services in production.
Explores common architectural patterns for building enterprise applications. It provides a catalog of patterns and explains their underlying principles and trade-offs. It's a valuable resource for architects and senior developers designing large-scale applications.
Delves into the core concepts and services of Google Cloud Platform, including compute, storage, networking, and containers. It offers a deep understanding of GCP's architecture and best practices.
Equips Python and JavaScript engineers to orchestrate Gemini and frontier language models with LangChain and LangGraph, covering retrieval pipelines, conversational memory, tool calling, and production evaluation.
Teaches you how to use Node.js to build cloud applications that run on Google Cloud Platform. It great resource for developers who want to learn how to build scalable and reliable cloud applications.
Teaches you how to use Node.js to build cloud applications that run on Google Cloud Platform. It great resource for developers who want to learn how to build scalable and reliable cloud applications.
Examines how Google's integration of Gemini foundation models into Search and AI Overviews reshapes digital communication, content discovery, brand visibility, and information retrieval strategy.
Provides the enduring mathematical foundations of neural representation learning, sequence modeling, and gradient optimization that underpin modern multimodal AI systems like Google Gemini.
While specific to Java, this book provides invaluable guidance on writing high-quality, robust, and performant code in Java. It presents best practices, common pitfalls, and effective programming techniques. Its principles of writing effective code are applicable beyond Java and deepen the understanding of software craftsmanship. This must-read for Java developers.
Connects LangChain orchestration directly with Google Cloud Vertex AI and Gemini APIs, walking Python developers through enterprise retrieval-augmented generation, vector indexing, and multi-step autonomous agents.
Demystifies visual and low-code machine learning on Google Cloud Vertex AI and BigQuery ML, empowering analysts and citizen developers to assemble predictive and generative AI workflows without heavy custom code.
A classic in software engineering, this book offers timeless insights into the challenges of managing software projects. It discusses topics such as team collaboration, project scheduling, and the pitfalls of adding more people to a late project. While not directly about coding, its lessons are invaluable for anyone involved in the application development lifecycle, particularly those in leadership or management roles.
Offers an accessible, research-backed framework for non-programmers, educators, and citizen developers collaborating with frontier AI systems like Gemini as creative co-workers and tutors.
Provides a business-oriented perspective on generative AI, discussing its potential impact on industries and how companies can use it to gain a competitive advantage. It is written by three leading experts in the field, Thomas Davenport, Rajeev Ronanki, and Nitin Mittal.
Provides a thought-provoking exploration of the future of generative AI, discussing its potential benefits and risks. It is written by Gary Marcus, a leading researcher in the field.
Distills core engineering patterns for reliable AI agents built atop frontier multimodal models like Gemini, covering structured outputs, memory management, tool invocation, routing, and evaluation loops.
Focuses on user stories, a popular technique for gathering and documenting software requirements in agile projects. It provides practical guidance on writing effective user stories and using them for planning, estimation, and testing. It's a valuable resource for developers and teams working in agile environments.
Details how to architect multimodal retrieval-augmented generation pipelines using Google's Gemini Embedding 2 model, indexing text, images, documents, and audio into unified vector spaces for grounded AI synthesis.
Explores how AI researchers train large foundation models to follow human values, mitigate representation bias, avoid hallucination, and behave safely when deployed to millions of users.
Most applications interact with databases, making a strong understanding of database concepts crucial. covers database fundamentals, including data modeling, query languages, and database design. It provides essential knowledge for developers working with data-driven applications.
While not solely focused on application development, this book fundamental resource for understanding algorithms and data structures, which are the building blocks of all software applications. A strong grasp of these concepts is essential for writing efficient and optimized code. It's a classic textbook used widely in computer science programs.
Explores the relationship between generative AI and the creative process, discussing how generative AI can be used to enhance creativity. It is written by Margaret Boden, a leading researcher in the field.
Understanding operating systems is crucial for developing applications that interact with the underlying system resources effectively. provides a comprehensive overview of operating system principles, including process management, memory management, and file systems. It offers valuable background knowledge for application developers.

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