GenAI for Application Developers

This comprehensive course introduces Gemini for Google Cloud (Duet AI), emphasizing its potential to streamline coding, debugging, and deployment processes.

Soheil Haddadi Reza Moradinezhad

Data Science | core | 1 hour 30 minutes | Published: Aug 2024

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Overview

1KSTUDENTS^*

98.9%RECOMMEND^*

This course includes:

1.5 hour of on-demand video 
Certificate of completion 
Direct access/chat with the instructor
100% self-paced online

GenAI for Application Developer” is designed 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. 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. Additionally, the course addresses the ethical considerations and best practices for using AI in software development, ensuring that learners are equipped to use these tools responsibly. 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.

Skills You Will Gain

Code Quality

Coding Automation

Debugging

Deployment

Ethical AI

Learning Outcomes (At the end of this program you will be able to)

Recognize what Generative AI (GenAI) is and what it can and cannot do in general.
Evaluate the results of GenAI for a real-world application in application development.
Compare and contrast the risks, challenges, and ethical considerations of GenAI in the workplace for application development functions in general.

Prerequisites

Learners should understand basic application development, including software, debugging, and deployment, and be familiar with languages like Python, Java, or JavaScript. While deep technical skills aren’t necessary, an open mindset and willingness to explore GenAI tools are crucial. Prior application development experience will help apply the GenAI content.

Who Should Attend

This course is designed for team leads, managers, and senior developers seeking to integrate GenAI into their workflows for enhanced productivity. It is also ideal for developers, software engineers, and professionals eager to apply advanced GenAI techniques in their daily tasks and advance their careers in application development.

Curriculum

Instructors

Frequently Asked Questions

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^*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.