Introduction to AI and Machine Learning on Google Cloud

Introduction to AI and Machine Learning on Google Cloud

16 hours Introductory universal_currency_alt 16 Credits

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project based on the different goals of users, including data scientists, AI developers, and ML engineers.

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Course Info
Objectives
  • Recognize the data-to-AI technologies and tools offered by Google Cloud.
  • Use generative AI capabilities in applications.
  • Choose between different options to develop an AI project on Google Cloud.
  • Build ML models end-to-end by using Vertex AI.
Prerequisites
Basic knowledge of machine learning concepts Prior experience with programming languages such as SQL and Python
Audience
Data scientist, AI developers, ML engineers
Available languages
English, español (Latinoamérica), français, italiano, 日本語, 한국어, português (Brasil), 简体中文, and 繁體中文
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Explore Google Cloud content on Coursera and Pluralsight.
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View the public classroom schedule here.
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