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05

Introduction to AI and Machine Learning on Google Cloud

05

Introduction to AI and Machine Learning on Google Cloud

magic_button Data Gemini Machine Learning Models
These skills were generated by AI. Do you agree this course teaches these skills?
8 hours Introductory

This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.

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info
Course Info
Objectives
  • Recognize the data-to-AI technologies and tools provided by Google Cloud.
  • Build generative AI projects by using Gemini multimodal, efficient prompts, and model tuning.
  • Explore various options for developing an AI project on Google Cloud.
  • Create an ML model from 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, 繁體中文, Deutsch ve bahasa Indonesia
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