Coursera

1276 Courses

California Institute of Technology
Coursera

Gemini for DevOps Engineers

Gemini for DevOps Engineers In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps engineers manage infrastructure. You learn how to prompt Gemini to find and understand application logs, create a GKE cluster, and investigate how to create a build environment. Using a hands-on lab, y.
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California Institute of Technology
Coursera

Gemini for Application Developers

Gemini for Application Developers In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves.
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California Institute of Technology
Coursera

Gemini for Data Scientists and Analysts

Gemini for Data Scientists and Analysts In this course, discover how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. Learn to identify, categorize, and develop new customers using customer data in BigQuery. Through hands-on labs, experience how Gemini enhances data analysis a.
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California Institute of Technology
Coursera

Ethical and Regulatory Implications of Generative AI

Ethical and Regulatory Implications of Generative AI Did you know that the global AI market size is projected to reach $997.77 billion by 2028? As AI technologies rapidly integrate into every sector, understanding their ethical and regulatory implications has never been more critical. This Short Course was created to help professionals in tech, la.
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California Institute of Technology
Coursera

Generative AI: Unleash Your Project Management Potential

Generative AI: Unleash Your Project Management Potential By 2030, 80 percent of project management work will be done by AI (Gartner), enabling project managers to boost efficiency by automating tasks, generating insights from vast data sets, and speeding up processes. This course gives existing and aspiring project managers the job-ready skills in.
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California Institute of Technology
Coursera

Generative AI for Data Science

Generative AI for Data Science Discover how Generative AI can enhance data accuracy and operational efficiency in data science. This short course is designed for data scientists and AI enthusiasts to unlock the potential of Generative AI in data-driven projects. In just 3 hours, you'll learn to: Explore and leverage Generative AI application.
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California Institute of Technology
Coursera

Amazon Transcribe Getting Started

Amazon Transcribe Getting Started With Amazon Transcribe, you can produce transcriptions of recorded or live audio sources, including video. In this course, you will learn the benefits and technical concepts of Amazon Transcribe. If you are new to the service, you will learn how to start with Amazon Transcribe through demonstrations using the.
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California Institute of Technology
Coursera

Gemini for end-to-end SDLC

In this course, you will learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you utilize Google products and services to develop, test, deploy, and manage applications. With the assistance of Gemini, you will learn to create and build a web application, identify and fix errors, develop test scripts, and query data.
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California Institute of Technology
Coursera

Gemini for Cloud Architects

Course Title: Gemini for Cloud Architects Description: In this course, you will learn how to utilize Gemini, a generative AI-powered collaborator from Google Cloud, to aid administrators in provisioning infrastructure. You will receive step-by-step instruction on how to prompt Gemini to explain infrastructure, deploy GKE clusters, and update e.
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California Institute of Technology
Coursera

Responsible AI for Developers: Interpretability & Transparency

Title: Responsible AI for Developers: Interpretability & Transparency Description: This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI mo.
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