GenAI for Application Developers
Offered By: Coursera Instructor Network via Coursera
Course Description
Overview
“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.
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.
Taught by
Soheil Haddadi and Reza Moradinezhad
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