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Learn Google Cloud AI, earn certificates with free online courses from Google Skills, DataCamp, Udacity, Coursera and other top learning platforms around the world. Read reviews to decide if a class is right for you.
An introduction to generative AI, its place in machine learning, core model concepts, prompting, code generation, and Google tools for building apps.
Gen AI: Navigate the Landscape s the third course of the Gen AI Leader learning path.
Survey Google Cloud’s AI options for translation, computer vision, conversational intelligence, and machine learning.
This course is designed for Google Cloud developers and DevOps engineers who have basic knowledge of the Google Cloud console and are responsible for configuring Gemini Code Assist for an organization.
Learn to use Vertex AI Studio to prototype and customize generative AI models for integration into applications.
A Gen AI Leader can articulate the capabilities of generative AI and understand how they benefit organizations.
Google Cloud の AI と ML を、生成 AI と予測 AI の開発ライフサイクルに沿って学ぶ入門コース。
AI/MLでビジネスプロセスを変革する方法と、実装手法の速度・費用・カスタマイズのトレードオフを学ぶ。
Pengantar ekosistem AI Google Cloud untuk membangun project AI generatif dan prediktif, dari data dan infrastruktur hingga pengembangan model serta pipeline.
Explore how generative AI creates text, images, and code, and how it differs from traditional machine learning in cloud-based applications.
[Latest Syllabus] Pass The Generative AI Leader Exam On Your First Attempt | 2 Full Practice Exams & 160+ Quiz Questions
Building, Deploying, and Managing Machine Learning Services at Scale
Any business professional or team in an organization interested in learning about artificial intelligence, machine learning, and Google Cloud technology.
Explore the layers of the gen AI landscape—agents, applications, platforms, and AI-optimized infrastructure—and weigh the business factors for choosing among Google Cloud's gen AI offerings.
Use Gemini Code Assist and the Gemini CLI to build generative AI apps, modernize websites, create AI agents with Flutter, and deploy models on Cloud Run.
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