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Soheil Haddadi and Reza Moradinezhad

“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.

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“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.

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What's inside

Syllabus

GenAI for Application Developer
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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Exposes learners to cutting-edge Generative AI techniques
Explores how to leverage GenAI in software development pipelines
Includes hands-on exercises using Gemini for Google Cloud (Duet AI)
Focuses on practical applications of GenAI in real-world development scenarios
Taught by experts in AI and software development
Suitable for professionals in software development, including team leads, managers, senior developers, and software engineers

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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 GenAI for Application Developers with these activities:
Review software development processes
Revisit fundamental software development processes to prepare for incorporating Duet AI into your workflow.
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  • Review different software development methodologies
  • Understand the role of version control
  • Practice using issue tracking systems
Review Python programming concepts
Ensure a strong foundation in Python programming, which is essential for working with Duet AI.
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  • Review data types and variables
  • Practice control flow and loops
  • Refresh object-oriented programming concepts
Follow Duet AI tutorials
Familiarize yourself with the basics of Duet AI and its applications in application development.
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  • Access Duet AI documentation
  • Complete introductory tutorials
  • Explore advanced use cases and examples
Seven other activities
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Practice Code Development Using Gemini for Google Cloud (Duet AI)
Reinforce your understanding of GenAI for application development by practicing utilizing Gemini for Google Cloud (Duet AI) in hands-on code development scenarios.
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  • Review the documentation and tutorials on Gemini for Google Cloud (Duet AI).
  • Set up a development environment and install Gemini for Google Cloud (Duet AI).
  • Create a sample application and integrate Gemini for Google Cloud (Duet AI).
  • Experiment with different features of Gemini for Google Cloud (Duet AI), such as code generation, error correction, and deployment automation.
Practice error corrections with Duet AI
Enhance your ability to identify and correct errors in code using Duet AI.
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  • Set up a coding environment with Duet AI
  • Introduce intentional errors into code
  • Use Duet AI to identify and correct the errors
  • Iterate on the process to improve accuracy
Collaborate on Duet AI development
Engage with peers to share knowledge, troubleshoot issues, and learn from each other's experiences with Duet AI.
Show steps
  • Find a study partner with complementary skills
  • Establish communication channels and meeting schedules
  • Collaborate on Duet AI projects
  • Provide feedback and support to each other
Develop a Duet AI code generator
Apply your understanding of Duet AI to create a tool that automates code generation.
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  • Identify a specific code generation task
  • Design the architecture of the code generator
  • Implement the code generator using Duet AI
  • Test and refine the code generator
Create a Tutorial on Using GenAI in Application Development
Solidify your understanding of GenAI for application development by authoring a comprehensive tutorial that guides others through its practical implementation.
Show steps
  • Gather your knowledge and research additional information about GenAI and its applications in development.
  • Organize the content into a logical structure, including an introduction, hands-on examples, and a conclusion.
  • Write clear and concise instructions, providing practical examples and code snippets.
  • Proofread and refine the tutorial, ensuring it is well-written and easy to follow.
Contribute to Duet AI open-source projects
Deepen your understanding of Duet AI by contributing to its open-source community.
Show steps
  • Explore Duet AI open-source repositories
  • Identify an area where you can contribute
  • Fork the repository and make your changes
  • Submit a pull request for review
Build an application using Duet AI
Apply your knowledge of Duet AI to create a real-world application that leverages its capabilities.
Show steps
  • Define the scope and goals of the application
  • Design the application architecture
  • Implement Duet AI features into the application
  • Deploy and test the application
  • Refine and iterate based on user feedback

Career center

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

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