Introduction to Responsible AI - Українська
Earned квіт. 7, 2024 EDT
Vector Search and Embeddings
Earned квіт. 6, 2024 EDT
Unite Google’s expertise in search and AI with Google Agentspace, an enterprise tool designed to help employees find specific information from document storage, email, chats, ticketing systems, and other data sources, all from a single search bar. The Google Agentspace assistant can also help brainstorm, research, outline documents, and take actions like inviting coworkers to a calendar event to accelerate knowledge work and collaboration of all kinds.
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Demonstrate your ability to implement updated prompt engineering techniques and utilize several of Gemini's key capacilities including multimodal understanding and function calling. Then integrate generative AI into a RAG application deployed to Cloud Run. This course contains labs that are to be used as a test environment. They are deployed to test your understanding as a learner with a limited scope. These technologies can be used with fewer limitations in a real world environment.
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In this course, you will learn the important role that different types of webhooks play in Conversational Agents development, and how to effectively integrate them into your routine configuration of a Conversational Agent. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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In this course, you will learn how to easily scale AI from laptop to Cloud by bringing Ray and Vertex AI together. You will learn how to create a Ray cluster, connect to it, and run some simple Ray code. You will also learn how to integrate BigQuery seamlessly with Ray data.
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An introduction to Large models, Cloud TPUs and GKE. 15 step training for how to get started with Cloud TPUs and GKE, and explore training jobs, example workloads and inference with TPUs on GKE. Discover an app using personalized generative AI.
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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, you experience how Gemini improves the DevOps workflow.
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow.
Duet AI was renamed to Gemini, our next-generation model.
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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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Get hands-on with the Gemini Pro and Gemini Pro Vision models through our new labs. This course gives you a unique chance to explore these powerful AI tools while our training content is still in development. Learn to interact with the models using the Vertex AI Gemini API and cURL commands, and help us create the best possible learning experience around this technology.
Important Disclaimer: Please note that these labs are under active development. Functionality may occasionally change or break unexpectedly, and content might be removed or altered without notice. By proceeding with this course, you acknowledge this potential disruption.
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Learn about Generative AI, Vectors and Applications, including vector embedding in PostgreSQL, Cloud SQL for PostgreSQL and the pgvector extension. As well as building Generative AI powered apps faster with Duet AI.
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Learn how Gemini can revolutionize your ability to develop applications! This course helps developers go beyond the basics and learn how to integrate Gemini into their workflows.
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Unlock the power of Google Cloud's cutting-edge Vertex AI Gemini API to craft innovative multimodal applications. This hands-on course delves into the integration of the Vertex AI SDK for Python, guiding you through the generation of sophisticated responses powered by the Gemini Pro and Gemini Pro Vision models. Get ready to build, deploy, and harness the transformative capabilities of multimodal AI within your own projects.
Important Disclaimer: Please note that these labs are under active development. Functionality may occasionally change or break unexpectedly, and content might be removed or altered without notice. By proceeding with this course, you acknowledge this potential disruption.
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Це ознайомлювальний курс мікронавчання, який має пояснити, що таке відповідальне використання штучного інтелекту, чому воно важливе і як компанія Google реалізує його у своїх продуктах. Крім того, у цьому курсі викладено 7 принципів Google щодо штучного інтелекту.
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Explore AI-powered search technologies, tools, and applications in this course. Learn semantic search utilizing vector embeddings, hybrid search combining semantic and keyword approaches, and retrieval-augmented generation (RAG) minimizing AI hallucinations as a grounded AI agent. Gain practical experience with Vertex AI Vector Search to build your intelligent search engine.
Accelerate Knowledge Exchange with Google Agentspace
Earned січ. 27, 2025 EST
Build and Deploy a Generative AI solution using a RAG framework
Earned трав. 23, 2024 EDT
Webhook fundamentals
Earned квіт. 25, 2024 EDT
Scale AI with Ray on Vertex AI
Earned квіт. 22, 2024 EDT
Operationalizing large scale machine learning (ML) on Cloud TPUs with Google Kubernetes Engine (GKE)
Earned квіт. 22, 2024 EDT
Gemini for DevOps Engineers
Earned квіт. 22, 2024 EDT
Gemini for Cloud Architects
Earned квіт. 22, 2024 EDT
Search with AI Applications
Earned квіт. 12, 2024 EDT
Getting Started with the Vertex AI Gemini API
Earned квіт. 9, 2024 EDT
Build Generative AI powered applications
Earned квіт. 9, 2024 EDT
Improving developer velocity with Gemini Code Assist
Earned квіт. 9, 2024 EDT
App Dev with Gemini
Earned квіт. 7, 2024 EDT
Introduction to Responsible AI - Українська
Earned квіт. 7, 2024 EDT
Vector Search and Embeddings
Earned квіт. 6, 2024 EDT