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Gemini for end-to-end SDLC

In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC).

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

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What's inside

Syllabus

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what should give you pause

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Examines Gemini, which is a generative AI-powered collaborator from Google Cloud

Develops software development lifecycle operations, which are core skills for end-to-end SDLC

Taught by Google Cloud Training, who are recognized for their work in this field

Teaches software development through the Google Cloud Training provider, who are recognized for their work in this field

Teaches how to query data, which is useful for personal growth and development

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Reviews summary

Gemini's role in end-to-end sdlc

According to the course description, this program is designed to equip learners with the practical skills to leverage Gemini, Google Cloud's generative AI collaborator, across the entire software development lifecycle (SDLC). It aims to provide a hands-on experience in developing, testing, deploying, and managing applications using Google products and services. The curriculum is structured to help students address common development challenges, including error fixing and data querying, by applying AI assistance. This course is positioned to improve SDLC efficiency and introduce participants to cutting-edge AI tools within the cloud environment.

Helps with error fixing, test development, and data querying.

"The module on fixing application errors with Gemini's help was incredibly insightful and directly applicable."

"I learned practical strategies for developing robust tests using AI assistance."

"Understanding how Gemini assists with data querying is a significant advantage in my daily tasks."

Tightly integrated with Google Cloud services, beneficial for cloud users.

"As a Google Cloud user, this course was a perfect fit for integrating AI into my existing workflows."

"It's great to see how Gemini seamlessly works with other Google products and services for development."

"The context within Google Cloud makes the examples and practices highly relevant and applicable."

Emphasizes practical application through a dedicated lab environment.

"The hands-on lab really helped solidify my understanding of Gemini's capabilities in a real-world context."

"I found the exercises on fixing errors and developing tests particularly useful for immediate application."

"The course isn't just theory; it provides tangible experience with Google Cloud tools and Gemini."

Explores how Gemini assists across development, testing, and deployment phases.

"I appreciate how the course clarifies Gemini's role in each stage of the SDLC, from coding to deployment."

"The content demonstrates practical ways Gemini can speed up my development workflow."

"It's valuable to see how an AI collaborator can truly support end-to-end software delivery workflows."

May require some familiarity with SDLC concepts or cloud development.

"While the course is hands-on, I felt a basic understanding of SDLC was helpful before starting to fully grasp all concepts."

"Some sections might move quickly if you're entirely new to software development or Google Cloud's environment."

"I believe learners would benefit from prior exposure to web application concepts to maximize their learning."

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 end-to-end SDLC with these activities:

Review notes from previous relevant coursework

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Refresh your memory on concepts covered in previous relevant coursework to prepare for the course.

Browse courses on Software Development

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gather and review notes
Highlight key concepts and summarize them

Review basic programming concepts

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Review basic programming concepts to strengthen your foundation before starting the course.

Browse courses on Programming

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Review variables, data types, and operators
Practice writing simple functions
Complete coding challenges on platforms like LeetCode or HackerRank

Read 'Software Engineering at Google'

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Gain insights into software engineering best practices at Google to prepare for the course.

View Software Engineering at Google: Lessons Learned... on Amazon

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Read the book's introduction and first three chapters
Summarize the key takeaways from each chapter
Apply the concepts to your own software development projects

Five other activities

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Follow tutorials on Gemini and Google Cloud Platform

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Become familiar with Gemini and Google Cloud Platform through guided tutorials.

Browse courses on Gemini

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Search for tutorials on Gemini and Google Cloud Platform
Follow the tutorials step-by-step
Experiment with the concepts learned in the tutorials

Complete coding exercises on Coursera

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Enhance your programming skills by practicing coding exercises on Coursera.

Browse courses on Coding

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Choose coding exercises aligned with the course topics
Complete the exercises within the given time limits
Review the solutions and identify areas for improvement

Participate in Course Discussion Forums

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Engage with peers and assist others in the course discussion forums.

Browse courses on Collaboration

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Read through discussion threads
Provide helpful responses to questions
Share your own insights and experiences

Build a simple web application using Gemini

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Apply your skills by building a web application with Gemini to reinforce your understanding.

Browse courses on Web Development

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Plan and design the web application
Implement the application using Gemini
Test the application's functionality
Deploy the application to a hosting platform

Contribute to the Gemini open-source project

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Deepen your understanding of Gemini by contributing to its open-source project.

Browse courses on Open Source

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Explore the Gemini GitHub repository
Identify areas where you can contribute
Fork the repository and make your changes
Submit a pull request with your contributions

Career center

Learners who complete Gemini for end-to-end SDLC 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 end-to-end SDLC.

AI Engineering

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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.

Gemini for end-to-end SDLC

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What's inside

Syllabus

Traffic lights

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Reviews summary

Gemini's role in end-to-end sdlc

Activities

Career center

Reading list

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