What does GenAI-assisted application development mean in this course?

In this course, GenAI-assisted application development means using generative AI as part of everyday software work instead of treating it as a separate add-on. The emphasis is on using it to support coding, debugging, testing, explanation, and deployment-related work while keeping human oversight and accountability.

When would you use GenAI-assisted development?

You would use it when you need help moving through common development tasks such as writing code, understanding unfamiliar code, fixing errors, or creating tests. The course treats it as especially useful when work would otherwise involve repeated context switching between documentation, examples, and manual troubleshooting.

How does GenAI-assisted development fit into a broader workflow?

It fits into the middle of the development workflow, where ideas are turned into working code, reviewed, and refined. In this course, it acts as a support layer across build, test, and deployment preparation rather than a one-time step at the end.

How is GenAI-assisted development different from traditional manual development?

Traditional manual development relies more heavily on separate searches, documentation checks, and hand-written trial and error for each problem. Here, GenAI-assisted development is presented as a more conversational and iterative way to generate, explain, and improve code while the developer still reviews the output.

Do you need any prerequisites before learning GenAI-assisted development?

A basic understanding of software development, debugging, and deployment is helpful, and some familiarity with a language like Python, Java, or JavaScript is recommended. What matters most is being able to follow common development tasks and being open to experimenting with generative AI tools.

What tools, platforms, or methods are used in this course?

The course centers on Gemini for Google Cloud as the main generative AI tool for developer workflows. It also emphasizes prompt-writing best practices and responsible use with human oversight.

What specific tasks will you practice or complete in this course?

You practice writing better prompts, generating and refining code, asking for code explanations, and using AI to support testing and debugging. You also apply it to integration and deployment-related tasks so the tool becomes part of a repeatable development workflow.

GenAI for Application Developers

This course is part of Building Smarter Software: GenAI Tools and Practices Specialization

Instructors: Soheil Haddadi, Reza Moradinezhad

1,844 already enrolled

Included with

Learn more

1 module

Gain insight into a topic and learn the fundamentals.

31 reviews

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

31 reviews

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Identify the capabilities of Gemini for Google Cloud (Duet AI) for application development functions.
Examine real-world applications to leverage GenAI for streamlining work and fostering innovation in application development.
Deploy strategies & tactics to responsibly integrate GenAI into application development practices while maintaining human oversight & accountability.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments¹

AI Graded see disclaimer

Taught in English

91% of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Building Smarter Software: GenAI Tools and Practices Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There is 1 module in this course

“GenAI for Application Developer” is tailored for professionals eager to integrate AI into their development workflow. This comprehensive course introduces Gemini for Google Cloud (Duet AI), emphasizing its potential to streamline coding, debugging, and deployment processes. Learners will gain hands-on experience with Gemini for Google Cloud (Duet AI) tools, learning how to leverage them for enhanced productivity and efficiency in application development.

This course is designed for team leads, managers, senior developers, and software engineers. It is ideal for those who wish to integrate GenAI into their strategic initiatives for enhanced productivity, streamline their workflows, and advance their careers by mastering cutting-edge GenAI applications in application development. Participants should have a basic understanding of software development, debugging, and deployment processes. Familiarity with programming languages like Python, Java, or JavaScript is recommended. An open mindset towards incorporating Generative AI (GenAI) tools and techniques, along with a curiosity to experiment and learn, will help maximize the benefits of this learning experience. By the end of the course, learners will have a robust understanding of GenAI for application development. They will be able to implement Gemini for Google Cloud (Duet AI) in their projects to accelerate development cycles, reduce errors, and maintain high standards of code quality.

Module details

The course covers the essentials of GenAI for application development, from Gemini for Google Cloud (Duet AI)’s foundational models and integration with Google Cloud services to practical applications in real-world development scenarios. Learners will explore various features of GenAI for application development, such as code generation, error correction and deployment automation.

What's included

6 videos5 readings2 assignments1 peer review

6 videosTotal 53 minutes

Introduction to GenAI for App Developers7 minutes
History & Background for GenAI and App Developers10 minutes
Demo for Code Generation, Completion and Explanation with Gemini for Google Cloud13 minutes
Ethical Concerns and Remediating Risks7 minutes
Demo for Best Practices in Gemini for Google Cloud13 minutes
Closing Thoughts: What’s Next3 minutes

5 readingsTotal 45 minutes

Our Roadmap & Resources Available: How to Get Started5 minutes
GenAI and App Development Glossary10 minutes
Demo for Integrating Google Cloud Environment with Gemini10 minutes
Demo for Managing and Integrating API Functionalities with Python and Flask10 minutes
Demo for Integrating Inventory on Cloud Run with Gemini10 minutes