GenAI for Application Developers
Master Gemini for Google Cloud (Duet AI) to enhance application development through AI-powered coding, debugging, and deployment automation.
Master Gemini for Google Cloud (Duet AI) to enhance application development through AI-powered coding, debugging, and deployment automation.
This comprehensive course teaches developers how to leverage Generative AI in their development workflow using Gemini for Google Cloud (Duet AI). Students learn to integrate AI tools for code generation, debugging, and deployment optimization. The curriculum covers practical implementations, best practices, and ethical considerations when using AI in development processes. Designed for team leads, managers, and senior developers, this course provides hands-on experience with cutting-edge GenAI tools while maintaining focus on responsible implementation and human oversight.
Instructors:
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What you'll learn
Master Gemini for Google Cloud capabilities
Implement GenAI for streamlined development
Deploy AI responsibly in development practices
Enhance code quality through AI assistance
Optimize development workflows
Maintain human oversight in AI integration
Skills you'll gain
This course includes:
53 Minutes PreRecorded video
1 assignment, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
The course focuses on integrating Generative AI into application development workflows using Gemini for Google Cloud (Duet AI). Students learn essential concepts from foundational models to practical implementations, including code generation, error correction, and deployment automation. The curriculum emphasizes real-world applications and best practices for responsibly incorporating AI tools into development processes.
GenAI for Application Developer
Module 1 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Data Scientist and AI Research Scientist
Soheil Haddadi is a postdoctoral researcher specializing in Artificial Intelligence (AI) and machine learning, with a robust academic background in Control and Automation Systems Engineering. His expertise encompasses a wide range of areas, including data science, deep learning, natural language processing (NLP), and robotics. Soheil is committed to advancing the field of AI through innovative research and practical applications.He teaches several courses on Coursera, such as Fine-tuning Language Models for Business Tasks, GenAI for Data Scientists, and Data Engineering: Pipelines, ETL, Hadoop. These courses are designed to equip learners with the skills necessary to effectively utilize generative AI technologies and data engineering practices in various professional contexts.
AI Educator and Human-Centered Interaction Researcher
Reza Moradinezhad is an AI educator and researcher dedicated to promoting trustworthy AI and enhancing human-centered interactions. He holds a PhD in Computer Science from Drexel University and currently serves as an assistant teaching professor at Drexel's College of Computing & Informatics. In addition, he is an AI Scientist at TulipAI, where he focuses on ethical and responsible use of generative AI technologies.Reza offers a variety of courses on Coursera, including Building Production-Ready Apps with Large Language Models, Evaluating Large Language Model Outputs: A Practical Guide, and GenAI for Application Developers. His courses aim to equip learners with the skills necessary to effectively utilize large language models in various applications, from customer service to data analysis.
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