AI Boost Bites: Exec Summaries with Gemini Gems
Earned giu 16, 2025 EDT
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned giu 16, 2025 EDT
AI Boost Bites: Amplify Exec Voices with AI
Earned giu 16, 2025 EDT
AI Boost Bites: Customer insights with NotebookLM
Earned giu 16, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned giu 16, 2025 EDT
Security Command Center Fundamentals
Earned giu 16, 2025 EDT
Work with Gemini Models in BigQuery
Earned giu 12, 2025 EDT
Gen AI Agents: Transform Your Organization
Earned apr 14, 2025 EDT
Gen AI Apps: Transform Your Work
Earned apr 14, 2025 EDT
Gen AI: Navigate the Landscape
Earned apr 14, 2025 EDT
Gen AI: Unlock Foundational Concepts
Earned apr 14, 2025 EDT
Gen AI: Beyond the Chatbot
Earned apr 14, 2025 EDT
Create Embeddings, Vector Search, and RAG with BigQuery
Earned mar 11, 2025 EDT
Build a Certification Study Guide: PMLE
Earned gen 7, 2025 EST
AI responsabile per sviluppatori: privacy e sicurezza
Earned gen 7, 2025 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned gen 3, 2025 EST
[DEPRECATED] Agent Summarization (Custom)
Earned dic 4, 2024 EST
Introduction to Security in the World of AI
Earned dic 3, 2024 EST
Conversational AI on Vertex AI and Dialogflow CX
Earned nov 15, 2024 EST
Gemini for end-to-end SDLC
Earned ott 31, 2024 EDT
Gemini for Network Engineers
Earned ott 31, 2024 EDT
Gemini for DevOps Engineers
Earned ott 31, 2024 EDT
Preparing for Your Professional Cloud Security Engineer Journey
Earned set 26, 2024 EDT
Gemini for Security Engineers
Earned set 26, 2024 EDT
Preparing for the Professional Cloud Architect Exam - Italiano
Earned set 21, 2024 EDT
Google Security Operations - Deep Dive
Earned set 20, 2024 EDT
Google Security Operations - Fundamentals
Earned set 19, 2024 EDT
Gemini for Cloud Architects
Earned set 19, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned set 19, 2024 EDT
Gemini in Google Drive
Earned set 17, 2024 EDT
Gemini in Presentazioni Google
Earned set 17, 2024 EDT
Gemini in Google Meet - Italiano
Earned set 17, 2024 EDT
Gemini in Fogli Google
Earned set 17, 2024 EDT
Gemini in Documenti Google
Earned set 17, 2024 EDT
Gemini in Gmail
Earned set 17, 2024 EDT
Introduzione a Gemini in Google Workspace
Earned set 17, 2024 EDT
AI responsabile per sviluppatori: interpretabilità e trasparenza
Earned set 16, 2024 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned set 16, 2024 EDT
Vector Search and Embeddings
Earned set 12, 2024 EDT
AI responsabile per sviluppatori: equità e bias
Earned set 11, 2024 EDT
Transformer Models and BERT Model - Italiano
Earned set 11, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned set 11, 2024 EDT
Introduction to Generative AI Studio - Italiano
Earned set 11, 2024 EDT
Create Image Captioning Models - Italiano
Earned set 11, 2024 EDT
Encoder-Decoder Architecture - Italiano
Earned set 11, 2024 EDT
Attention Mechanism - Italiano
Earned set 11, 2024 EDT
Introduction to Image Generation - Italiano
Earned set 11, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned set 11, 2024 EDT
[DEPRECATED]- Google Cloud Computing Foundations: Cloud Computing Fundamentals - Italiano
Earned set 8, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned set 8, 2024 EDT
Change Management for Google Workspace
Earned set 5, 2024 EDT
Google Workspace Data Governance
Earned set 3, 2024 EDT
Google Workspace Security
Earned set 2, 2024 EDT
Prompt Design in Vertex AI
Earned ago 21, 2024 EDT
Google Workspace Core Services
Earned ago 20, 2024 EDT
Google Workspace User and Resource Management
Earned ago 20, 2024 EDT
DEPRECATED Planning for a Google Workspace Deployment
Earned mar 28, 2024 EDT
Preparing for Your Google Workspace Administrator Journey
Earned mar 28, 2024 EDT
API Design and Fundamentals of Google Cloud's Apigee API Platform
Earned feb 6, 2024 EST
Configura un ambiente di sviluppo di app su Google Cloud
Earned feb 5, 2024 EST
Managing Cloud Infrastructure with Terraform
Earned feb 1, 2024 EST
Modernizzazione di data lake e data warehouse con Google Cloud
Earned feb 1, 2024 EST
Getting Started With Application Development
Earned gen 31, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned gen 29, 2024 EST
Infrastruttura Google Cloud affidabile: progetto e processo
Earned gen 28, 2024 EST
Getting Started with Terraform for Google Cloud
Earned gen 28, 2024 EST
Trust and Security with Google Cloud
Earned gen 25, 2024 EST
Scaling with Google Cloud Operations
Earned gen 25, 2024 EST
Modernize Infrastructure and Applications with Google Cloud
Earned gen 25, 2024 EST
Innovating with Google Cloud Artificial Intelligence
Earned gen 24, 2024 EST
Exploring Data Transformation with Google Cloud
Earned gen 24, 2024 EST
Optimize Your Google Cloud Costs
Earned gen 24, 2024 EST
Google Cloud Big Data and Machine Learning Fundamentals - Italiano
Earned gen 23, 2024 EST
Digital Transformation with Google Cloud
Earned gen 22, 2024 EST
Developing a Google SRE Culture
Earned gen 22, 2024 EST
Google Cloud Fundamentals: Core Infrastructure - Italiano
Earned gen 22, 2024 EST
Enterprise Search on Generative AI App Builder
Earned gen 18, 2024 EST
Introduzione all'AI e al machine learning su Google Cloud
Earned ott 20, 2023 EDT
Introduction to Data Analytics on Google Cloud
Earned ott 11, 2023 EDT
Responsible AI: Applying AI Principles with Google Cloud - Italiano
Earned ago 31, 2023 EDT
Generative AI Fundamentals - Italiano
Earned ago 30, 2023 EDT
Introduction to Large Language Models - Italiano
Earned ago 28, 2023 EDT
Introduction to Generative AI - Italiano
Earned ago 28, 2023 EDT
Introduction to Responsible AI - Italiano
Earned ago 28, 2023 EDT
This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI applications.
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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.
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This course introduces the SOAR component of Google SecOps, guiding learners through setup, response automation, and reporting. With demos, hands-on examples, and quizzes, participants will learn how to simplify investigations and make day-to-day security operations more efficient. The course is designed around short videos, averaging about five minutes each, divided into granular topics to support different learning styles and fit into the time learners have available.
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This course helps you understand how to use Chronicle to properly handle security incidents.
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This course helps developers customize Chronicle and augment its abilities with third party integrations.
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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
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This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
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In this video, you'll learn to use a simple text prompt in Gemini Canvas to build a playable game. You'll see how to create a Tic-Tac-Toe game, use a follow-up prompt to customize its theme to a retro 8-bit style, and share the final game with a link.
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In this video, you'll learn to build a working music synthesizer using a simple text prompt in Gemini Canvas. You'll see how to specify controls like waveform, attack, and sustain, and then interact with the generated instrument to create and experiment with your own unique sounds.
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In this video, you'll learn to use creative prompts in Gemini to make complex research fun and easy to understand. You'll see how to ask Gemini to research a topic and present the findings in a creative format, like a sports scouting report and a head-to-head bracket, to better visualize and compare your options.
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In this video, you'll learn to use the Create menu in Gemini Canvas to instantly convert a block of text into a variety of visual formats. You’ll see how to take a brainstormed marketing campaign and turn it into both a shareable infographic and an internal webpage with just one click.
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In this video, you'll learn to use Gemini Canvas to turn a simple drawing into a working app. You'll upload a sketch, use a simple prompt to generate code, watch a live preview build itself, and make iterative changes to your app prototype using natural language.
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This video covers how NotebookLM's Reports feature dynamically suggests formats to help you create customized, trustworthy analyses of your documents with ease.
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This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.
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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.
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This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.
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This video covers how to use NotebookLM for common marketing tasks like
analyzing customer feedback, conducting market research, and generating
content ideas.
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This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.
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This video covers how to use the 'Discover Sources' feature in NotebookLM to find and import relevant web-based sources directly into your research project.
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This video covers how to use the Mind Maps feature in NotebookLM to automatically create a visual representation of your sources, helping you understand connections and key concepts.
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This video covers how to use NotebookLM as a personal research
assistant by adding sources, asking questions, and generating new content
formats based on your documents.
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This video covers how to use Gemini in Gmail to draft new emails,
refine their tone, respond with context from Drive files, and use smart
reply suggestions.
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This video covers how to use the 'Help me create' feature in Google Docs to generate a complete, formatted document by referencing content from other files in your Drive.
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This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.
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This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.
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This video covers how to use Gemini in Slides to automatically generate
meeting recaps and draft follow-up emails, which can streamline your
post-meeting workflow and save you time.
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This video covers how to use Gemini and Apps Script to automate manual tasks across Google Workspace. You'll learn to prompt Gemini to generate Apps Script code that automatically drafts email reminders in Google Sheets for tasks not marked 'Complete.' Automate your workflow with little to no technical expertise, freeing up time for more important work and eliminating manual follow-ups.
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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.
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This video covers how to personalize your Gemini results in Google
Workspace. Learn to incorporate documents and research papers directly
into your prompts using the "@" symbol to get more targeted and relevant
AI output tailored to your needs.
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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.
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This video will cover how you can leverage Gemini's advanced AI capabilities in Google Docs to brainstorm ideas, draft various marketing content, and collaborate with your team.
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This video will cover how to use NotebookLM to gather and analyze
publicly available information, combine it with internal documents, and
extract key competitive insights.
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This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!
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This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.
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This video covers how you can leverage Gemini's advanced AI capabilities within Google Sheets to effortlessly pull data and generate insights in minutes, all without the need for any technical or coding background.
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This video covers how you can create your own Brevity Gem to summarize and transform messy notes or long documents into clear, concise, executive-ready summaries.
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This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.
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This video will cover how to leverage Gemini Gems to create authentic
social media posts in your leader's unique voice. Learn to overcome the
challenge of scaling executive social presence by training a Gem with
writing samples and clear instructions. Discover how to generate engaging
posts quickly, saving time while amplifying thought leadership and
ensuring authenticity.
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This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.
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This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
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Learn about the fundamental features of Security Command Center on Google Cloud. Spend time in this course to understand assets, detection and compliance. Security Command Center is a key part of your Google Cloud security journey, complete these modules and quiz to earn a completion badge.
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This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.
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Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools.
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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.
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Gen AI: Navigate the Landscape s the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
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This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations. It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers. The course explains the conceptual reasons behind these steps and their practical implementation with BigQuery. By the end of the course, learners will be able to build a RAG pipeline using BigQuery and generative AI models like Gemini and embedding models to address their own AI hallucination use cases.
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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
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Questo corso introduce argomenti importanti relativi alla privacy e alla sicurezza dell'AI. Esplora metodi e strumenti pratici per implementare le pratiche consigliate per la privacy e la sicurezza dell'AI utilizzando gli strumenti open source e i prodotti Google Cloud.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
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In this course you will learn how Contact Center AI Agent Assist can help distill complex customer interactions into concise and clear summaries.
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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.
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In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC).
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 network engineers create, update, and maintain VPC networks. You learn how to prompt Gemini to provide specific guidance for your networking tasks, beyond what you would receive from a search engine. Using a hands-on lab, you experience how Gemini makes it easier for you to work with Google Cloud VPC networks.
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 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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This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture.
Duet AI was renamed to Gemini, our next-generation model.
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Lo scopo di questo corso è aiutare coloro che sono qualificati ad avere confidenza per tentare l'esame e aiutare le persone non ancora qualificate a sviluppare il proprio piano per la preparazione.
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Take the next steps in working with the Chronicle Security Operations Platform. Build on fundamental knowledge to go deeper on cusotmization and tuning.
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This course covers the baseline skills needed for the Google Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.
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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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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
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Google Workspace with Gemini provides customers with access to generative AI features. This course delves into the capabilities of Gemini in Google Drive using video lessons, hands-on activities and practical examples. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Drive to improve your workflows.
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Gemini per Google Workspace è un componente aggiuntivo che fornisce ai clienti funzionalità di AI generativa in Google Workspace. In questo mini corso imparerai le funzionalità principali di Gemini e come possono essere utilizzate per migliorare la produttività e l'efficienza in Presentazioni Google.
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Gemini per Google Workspace è un componente aggiuntivo che fornisce agli utenti accesso a funzionalità di AI generativa. Questo corso approfondisce le funzionalità di Gemini in Google Meet. Attraverso lezioni video e attività ed esempi pratici, acquisirai una comprensione completa delle funzionalità di Gemini in Google Meet. Imparerai a utilizzare Gemini per generare immagini di sfondo, migliorare la qualità video e tradurre i sottotitoli. Alla fine del corso avrai acquisito le conoscenze e le competenze necessarie per utilizzare con sicurezza Gemini in Google Meet per massimizzare l'efficacia delle tue videoconferenze.
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Gemini per Google Workspace è un componente aggiuntivo che fornisce ai clienti funzionalità di AI generativa in Google Workspace. In questo mini corso imparerai le funzionalità principali di Gemini e come possono essere utilizzate per migliorare la produttività e l'efficienza in Fogli Google.
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Gemini per Google Workspace è un componente aggiuntivo che fornisce agli utenti accesso a funzionalità di AI generativa. Questo corso approfondisce le funzionalità di Gemini in Documenti Google utilizzando lezioni video, attività ed esempi pratici. Imparerai a utilizzare Gemini per generare contenuti scritti in base a dei prompt. Inoltre, esplorerai l'utilizzo di Gemini per modificare il testo che hai già scritto, aiutandoti a migliorare la tua produttività complessiva. Alla fine del corso avrai acquisito le conoscenze e le competenze necessarie per utilizzare con sicurezza Gemini in Documenti Google per migliorare la tua scrittura.
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Gemini per Google Workspace è un componente aggiuntivo che fornisce ai clienti funzionalità di AI generativa in Google Workspace. In questo mini corso imparerai le funzionalità principali di Gemini e come possono essere utilizzate per migliorare la produttività e l'efficienza in Gmail.
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Gemini per Google Workspace è un componente aggiuntivo che fornisce ai clienti funzionalità di AI generativa in Google Workspace. In questo percorso di apprendimento imparerai le funzionalità principali di Gemini e come possono essere utilizzate per migliorare la produttività e l'efficienza in Google Workspace.
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Questo corso introduce i concetti di interpretabilità e la trasparenza dell'AI. Parla dell'importanza della trasparenza dell'AI per sviluppatori ed engineer. Illustra metodi e strumenti pratici per aiutare a raggiungere interpretabilità e trasparenza sia nei dati che nei modelli di AI.
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This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production.
Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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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.
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Questo corso introduce i concetti di AI responsabile e i principi dell'AI. Tratta le tecniche per identificare sostanzialmente l'equità e i bias e mitigare i bias nelle pratiche di AI/ML. Illustra metodi e strumenti pratici per implementare le best practice dell'AI responsabile utilizzando gli strumenti open source e i prodotti Google Cloud.
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Questo corso ti introduce all'architettura Transformer e al modello BERT (Bidirectional Encoder Representations from Transformers). Scopri i componenti principali dell'architettura Transformer, come il meccanismo di auto-attenzione, e come viene utilizzata per creare il modello BERT. Imparerai anche le diverse attività per le quali può essere utilizzato il modello BERT, come la classificazione del testo, la risposta alle domande e l'inferenza del linguaggio naturale. Si stima che il completamento di questo corso richieda circa 45 minuti.
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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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Questo corso illustra Generative AI Studio, un prodotto su Vertex AI che ti aiuta a prototipare e personalizzare i modelli di AI generativa in modo da poterne utilizzare le capacità nelle tue applicazioni. In questo corso imparerai cos'è Generative AI Studio, le sue funzionalità e opzioni e come utilizzarlo, esaminando le demo del prodotto. Alla fine, troverai un laboratorio pratico per mettere in pratica ciò che hai imparato e un quiz per testare le tue conoscenze.
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Questo corso ti insegna come creare un modello per le didascalie delle immagini utilizzando il deep learning. Scoprirai i diversi componenti di un modello per le didascalie delle immagini, come l'encoder e il decoder, e imparerai ad addestrare e valutare il tuo modello. Alla fine di questo corso, sarai in grado di creare modelli personali per le didascalie delle immagini e utilizzarli per generare didascalie per le immagini.
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Questo corso ti offre un riepilogo dell'architettura encoder-decoder, che è un'architettura di machine learning potente e diffusa per attività da sequenza a sequenza come traduzione automatica, riassunto del testo e risposta alle domande. Apprenderai i componenti principali dell'architettura encoder-decoder e come addestrare e fornire questi modelli. Nella procedura dettagliata del lab corrispondente, implementerai in TensorFlow dall'inizio un semplice codice dell'architettura encoder-decoder per la generazione di poesie da zero.
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Questo corso ti introdurrà al meccanismo di attenzione, una potente tecnica che consente alle reti neurali di concentrarsi su parti specifiche di una sequenza di input. Imparerai come funziona l'attenzione e come può essere utilizzata per migliorare le prestazioni di molte attività di machine learning, come la traduzione automatica, il compendio di testi e la risposta alle domande.
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Questo corso introduce i modelli di diffusione, una famiglia di modelli di machine learning che recentemente si sono dimostrati promettenti nello spazio di generazione delle immagini. I modelli di diffusione traggono ispirazione dalla fisica, in particolare dalla termodinamica. Negli ultimi anni, i modelli di diffusione sono diventati popolari sia nella ricerca che nella produzione. I modelli di diffusione sono alla base di molti modelli e strumenti di generazione di immagini all'avanguardia su Google Cloud. Questo corso ti introduce alla teoria alla base dei modelli di diffusione e a come addestrarli ed eseguirne il deployment su Vertex AI.
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This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
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Il corso Google Cloud Computing Foundations fornirà a chi ha poca o nessuna esperienza
di cloud computing una panoramica dettagliata dei concetti relativi alle nozioni di base
del cloud, ai big data e al machine learning, oltre che a dove e come Google Cloud si inserisce.
Alla fine del corso, i partecipanti saranno in grado di descrivere questi concetti e dimostrare delle competenze pratiche.
Questo corso fa parte della serie di corsi Google Cloud Computing Foundations.
I corsi dovrebbero essere completati nel seguente ordine:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
Questo primo corso fornisce una panoramica del cloud computing, dei modi per utilizzare Google Cloud e
diverse opzio…
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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
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This course is for deployment personnel of Google Cloud and its partner organizations who are tasked with managing cultural change and skill gaps of customers adopting Google Workspace, engaging sponsors and enlisting the support of customer stakeholders, communicating the anticipated changes to the customer and their users. It will guide you through the Workspace change management methodology and all phases of the customer journey.
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This course equips learners with skills to govern data within their Google Workspace environment. Learners will explore data loss prevention rules in Gmail and Drive to prevent data leakage. They will then learn how to use Google Vault for data retention, preservation, and retrieval purposes. Next, they will learn how to configure data regions and export settings to align with regulations. Finally, learners will discover how to classify data using labels for enhanced organization and security.
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This course empowers learners to secure their Google Workspace environment. Learners will implement strong password policies and two-step verification to govern user access. They will then utilize the security investigation tool to proactively identify and respond to security risks. Next, they will manage third-party app access and mobile devices to ensure security. Finally, learners will enforce email security and compliance measures to protect organizational data.
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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
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This course was designed to give learners a comprehensive understanding of Google Workspace core services. Learners will explore enabling, disabling, and configuring settings for these services, including Gmail, Calendar, Drive, Meet, Chat, and Docs. Next, they'll learn how to deploy and manage Gemini to empower their users. Finally, learners will examine use cases for AppSheet and Apps Script to automate tasks and extend the functionality of Google Workspace applications.
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This course was designed to provide an understanding of user and resource management in Google Workspace. Learners will explore the configuration of organizational units to align with their organization's needs. Additionally, learners will discover how to manage various types of Google Groups. They will also develop expertise in managing domain settings within Google Workspace. Finally, learners will master the optimization and structuring of resources within their Google Workspace environment.
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Planning for a Google Workspace Deployment is the final course in the Google Workspace Administration series.
In this course, you will be introduced to Google's deployment methodology and best practices. You will follow Katelyn and Marcus as they plan for a Google Workspace deployment at Cymbal. They'll focus on the core technical project areas of provisioning, mail flow, data migration, and coexistence, and will consider the best deployment strategy for each area.
You will also be introduced to the importance of Change Management in a Google Workspace deployment, ensuring that users make a smooth transition to Google Workspace and gain the benefits of work transformation through communications, support, and training.
This course covers theoretical topics, and does not have any hands on exercises. If you haven’t already done so, please cancel your Google Workspace trial now to avoid any unwanted charges.
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This course helps learners prepare to study for the Professional Google Workspace Administrator Certification exam. Learners will be exposed to and engage with exam topics through a series of readings, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
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In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. You learn about how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers.
Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform. This is the first course of the Developing APIs with Google Cloud's Apigee API Platform series. After completing this course, enroll in the API Security on Google Cloud's Apigee API Platform course.
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Ottieni un badge delle competenze completando il corso Configura un ambiente di sviluppo di app su Google Cloud, in cui imparerai a creare e connettere un'infrastruttura cloud incentrata sull'archiviazione utilizzando le funzionalità di base delle seguenti tecnologie: Cloud Storage, Identity and Access Management, Cloud Functions e Pub/Sub.
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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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I due componenti chiave di qualsiasi pipeline di dati sono costituiti dai data lake e dai data warehouse. In questo corso evidenzieremo i casi d'uso per ogni tipo di spazio di archiviazione e approfondiremo i dettagli tecnici delle soluzioni di data lake e data warehouse disponibili su Google Cloud. Inoltre, descriveremo il ruolo di un data engineer, illustreremo i vantaggi di una pipeline di dati di successo per le operazioni aziendali ed esamineremo i motivi per cui il data engineering dovrebbe essere eseguito in un ambiente cloud.
Questo è il primo corso della serie Data engineering su Google Cloud. Dopo il completamento di questo corso, iscriviti al corso Creazione di pipeline di dati in batch su Google Cloud.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
This is the first course of the Developing Applications with Google Cloud series. After completing this course, enroll in the Securing and Integrating Components of your Application course.
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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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Questo corso spiega agli studenti come creare soluzioni efficienti e ad alta affidabilità su Google Cloud utilizzando pattern di progettazione comprovati. È la continuazione del corso Progettazione dell'architettura con Google Compute Engine o Progettazione dell'architettura con Google Kubernetes Engine e presuppone che si abbia esperienza pratica con le tecnologie esaminate in uno dei due corsi. Attraverso una combinazione di presentazioni, attività di progettazione e lab pratici, i partecipanti impareranno a definire e bilanciare i requisiti aziendali e tecnici per progettare deployment Google Cloud estremamente affidabili, sicuri, economicamente convenienti e ad alta disponibilità.
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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task.
Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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This is the second Quest in a two-part series on Google Cloud billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your Google Cloud costs or to influence your technology teams to apply the cost optimization best practices.
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Questo corso presenta i prodotti e i servizi per big data e di machine learning di Google Cloud che supportano il ciclo di vita dai dati all'IA. Esplora i processi, le sfide e i vantaggi della creazione di una pipeline di big data e di modelli di machine learning con Vertex AI su Google Cloud.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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Google Cloud Fundamentals: Core Infrastructure introduce concetti e terminologia importanti per lavorare con Google Cloud. Attraverso video e lab pratici, questo corso presenta e confronta molti dei servizi di computing e archiviazione di Google Cloud, insieme a importanti strumenti di gestione delle risorse e dei criteri.
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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 Generative AI App Builder to integrate enterprise-grade generative AI search.
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Questo corso presenta le offerte di intelligenza artificiale (AI) e machine learning (ML) su Google Cloud per la creazione di progetti di AI predittiva e generativa. Esplora le tecnologie, i prodotti e gli strumenti disponibili durante tutto il ciclo di vita data-to-AI, includendo le basi, lo sviluppo e le soluzioni di AI. Ha lo scopo di aiutare data scientist, sviluppatori di AI e ML engineer a migliorare le proprie abilità e conoscenze attraverso attività di apprendimento coinvolgenti ed esercizi pratici.
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In this beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started. Almost anyone who performs or uses data analysis in their work can benefit from this course.
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Dal momento che l'uso dell'intelligenza artificiale e del machine learning nelle aziende continua a crescere, cresce anche l'importanza di realizzarli in modo responsabile. Molti sono scoraggiati dal fatto che parlare di IA responsabile può essere più facile che metterla in pratica. Se vuoi imparare come operativizzare l'IA responsabile nella tua organizzazione, questo corso fa per te.
In questo corso scoprirai come Google Cloud ci riesce attualmente, oltre alle best practice e alle lezioni apprese, per fungere da framework per costruire il tuo approccio all'IA responsabile.
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Guadagna un badge delle competenze completando i corsi Introduction to Generative AI, Introduction to Large Language Models e Introduction to Responsible AI. Superando il quiz finale, dimostrerai la tua comprensione dei concetti fondamentali relativi all'IA generativa.
Un badge delle competenze è un badge digitale rilasciato da Google Cloud come riconoscimento della tua conoscenza dei prodotti e dei servizi Google Cloud. Condividi il tuo badge delle competenze rendendo pubblico il tuo profilo e aggiungendolo al tuo profilo sui social media.
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Questo è un corso di microlearning di livello introduttivo che esplora cosa sono i modelli linguistici di grandi dimensioni (LLM), i casi d'uso in cui possono essere utilizzati e come è possibile utilizzare l'ottimizzazione dei prompt per migliorare le prestazioni dei modelli LLM. Descrive inoltre gli strumenti Google per aiutarti a sviluppare le tue app Gen AI.
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Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'AI generativa, come viene utilizzata e in che modo differisce dai tradizionali metodi di machine learning. Descrive inoltre gli strumenti Google che possono aiutarti a sviluppare le tue app Gen AI.
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Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'IA responsabile, perché è importante e in che modo Google implementa l'IA responsabile nei propri prodotti. Introduce anche i 7 principi dell'IA di Google.
Model Armor: Securing AI Deployments
Earned dic 19, 2025 EST
Introduction to Security in the World of AI
Earned dic 19, 2025 EST
Introduction Google Security Operations (SOAR)
Earned dic 18, 2025 EST
Google Security Operations - SOAR Analyst
Earned dic 17, 2025 EST
Google Security Operations - SOAR Developer
Earned dic 16, 2025 EST
Introduction to Data Analytics in Google Cloud
Earned dic 16, 2025 EST
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned dic 16, 2025 EST
AI Boost Bites: Create Your Own Retro Arcade Game
Earned dic 11, 2025 EST
AI Boost Bites: Become a "Vibe DJ"
Earned dic 11, 2025 EST
AI Boost Bites: Create Your Ultimate College Scouting Report
Earned dic 11, 2025 EST
AI Boost Bites: One-Click Campaign Visuals
Earned dic 11, 2025 EST
AI Boost Bites: From Napkin Sketch to Functional App
Earned dic 11, 2025 EST
AI Boost Bites: NotebookLM Reports
Earned dic 11, 2025 EST
AI Boost Bites: Your Personal Feedback Agent
Earned dic 11, 2025 EST
AI Boost Bites: Presentation Scripts with Gemini
Earned dic 11, 2025 EST
AI Boost Bites: Project Notebooks
Earned dic 11, 2025 EST
AI Boost Bites: NotebookLM for Market Research
Earned dic 11, 2025 EST
AI Boost Bites: NotebookLM Video Overviews
Earned dic 11, 2025 EST
AI Boost Bites: Discover Sources in NotebookLM
Earned dic 11, 2025 EST
AI Boost Bites: NotebookLM Mind Maps
Earned dic 11, 2025 EST
AI Boost Bites: Intro to NotebookLM
Earned dic 11, 2025 EST
AI Boost Bites: Email Content Creation
Earned dic 11, 2025 EST
AI Boost Bites: Create Docs in Seconds
Earned dic 11, 2025 EST
AI Boost Bites: AI Power-Ups for Google Workspace
Earned dic 11, 2025 EST
AI Boost Bites: Tame Your Inbox with AI
Earned dic 11, 2025 EST
AI Boost Bites: Gemini Slide Summaries
Earned dic 11, 2025 EST
AI Boost Bites: Automate tasks with Gemini and Apps Script
Earned dic 11, 2025 EST
AI Boost Bites: Poke Holes in Your Strategy
Earned dic 11, 2025 EST
AI Boost Bites: Personalization with customized prompts
Earned dic 11, 2025 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned dic 11, 2025 EST
AI Boost Bites: Content Generation with Gemini Made Easy
Earned dic 11, 2025 EST
AI Boost Bites: NotebookLM for Competitive Edge
Earned giu 16, 2025 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack
Earned giu 16, 2025 EDT
AI Boost Bites: "Eat the Frog" with NotebookLM
Earned giu 16, 2025 EDT
AI Boost Bites: No-Code Sheets & Scripts
Earned giu 16, 2025 EDT
AI Boost Bites: Exec Summaries with Gemini Gems
Earned giu 16, 2025 EDT
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned giu 16, 2025 EDT
AI Boost Bites: Amplify Exec Voices with AI
Earned giu 16, 2025 EDT
AI Boost Bites: Customer insights with NotebookLM
Earned giu 16, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned giu 16, 2025 EDT
Security Command Center Fundamentals
Earned giu 16, 2025 EDT
Work with Gemini Models in BigQuery
Earned giu 12, 2025 EDT
Gen AI Agents: Transform Your Organization
Earned apr 14, 2025 EDT
Gen AI Apps: Transform Your Work
Earned apr 14, 2025 EDT
Gen AI: Navigate the Landscape
Earned apr 14, 2025 EDT
Gen AI: Unlock Foundational Concepts
Earned apr 14, 2025 EDT
Gen AI: Beyond the Chatbot
Earned apr 14, 2025 EDT
Create Embeddings, Vector Search, and RAG with BigQuery
Earned mar 11, 2025 EDT
Build a Certification Study Guide: PMLE
Earned gen 7, 2025 EST
AI responsabile per sviluppatori: privacy e sicurezza
Earned gen 7, 2025 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned gen 3, 2025 EST
[DEPRECATED] Agent Summarization (Custom)
Earned dic 4, 2024 EST
Introduction to Security in the World of AI
Earned dic 3, 2024 EST
Conversational AI on Vertex AI and Dialogflow CX
Earned nov 15, 2024 EST
Gemini for end-to-end SDLC
Earned ott 31, 2024 EDT
Gemini for Network Engineers
Earned ott 31, 2024 EDT
Gemini for DevOps Engineers
Earned ott 31, 2024 EDT
Preparing for Your Professional Cloud Security Engineer Journey
Earned set 26, 2024 EDT
Gemini for Security Engineers
Earned set 26, 2024 EDT
Preparing for the Professional Cloud Architect Exam - Italiano
Earned set 21, 2024 EDT
Google Security Operations - Deep Dive
Earned set 20, 2024 EDT
Google Security Operations - Fundamentals
Earned set 19, 2024 EDT
Gemini for Cloud Architects
Earned set 19, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned set 19, 2024 EDT
Gemini in Google Drive
Earned set 17, 2024 EDT
Gemini in Presentazioni Google
Earned set 17, 2024 EDT
Gemini in Google Meet - Italiano
Earned set 17, 2024 EDT
Gemini in Fogli Google
Earned set 17, 2024 EDT
Gemini in Documenti Google
Earned set 17, 2024 EDT
Gemini in Gmail
Earned set 17, 2024 EDT
Introduzione a Gemini in Google Workspace
Earned set 17, 2024 EDT
AI responsabile per sviluppatori: interpretabilità e trasparenza
Earned set 16, 2024 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned set 16, 2024 EDT
Vector Search and Embeddings
Earned set 12, 2024 EDT
AI responsabile per sviluppatori: equità e bias
Earned set 11, 2024 EDT
Transformer Models and BERT Model - Italiano
Earned set 11, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned set 11, 2024 EDT
Introduction to Generative AI Studio - Italiano
Earned set 11, 2024 EDT
Create Image Captioning Models - Italiano
Earned set 11, 2024 EDT
Encoder-Decoder Architecture - Italiano
Earned set 11, 2024 EDT
Attention Mechanism - Italiano
Earned set 11, 2024 EDT
Introduction to Image Generation - Italiano
Earned set 11, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned set 11, 2024 EDT
[DEPRECATED]- Google Cloud Computing Foundations: Cloud Computing Fundamentals - Italiano
Earned set 8, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned set 8, 2024 EDT
Change Management for Google Workspace
Earned set 5, 2024 EDT
Google Workspace Data Governance
Earned set 3, 2024 EDT
Google Workspace Security
Earned set 2, 2024 EDT
Prompt Design in Vertex AI
Earned ago 21, 2024 EDT
Google Workspace Core Services
Earned ago 20, 2024 EDT
Google Workspace User and Resource Management
Earned ago 20, 2024 EDT
DEPRECATED Planning for a Google Workspace Deployment
Earned mar 28, 2024 EDT
Preparing for Your Google Workspace Administrator Journey
Earned mar 28, 2024 EDT
API Design and Fundamentals of Google Cloud's Apigee API Platform
Earned feb 6, 2024 EST
Configura un ambiente di sviluppo di app su Google Cloud
Earned feb 5, 2024 EST
Managing Cloud Infrastructure with Terraform
Earned feb 1, 2024 EST
Modernizzazione di data lake e data warehouse con Google Cloud
Earned feb 1, 2024 EST
Getting Started With Application Development
Earned gen 31, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned gen 29, 2024 EST
Infrastruttura Google Cloud affidabile: progetto e processo
Earned gen 28, 2024 EST
Getting Started with Terraform for Google Cloud
Earned gen 28, 2024 EST
Trust and Security with Google Cloud
Earned gen 25, 2024 EST
Scaling with Google Cloud Operations
Earned gen 25, 2024 EST
Modernize Infrastructure and Applications with Google Cloud
Earned gen 25, 2024 EST
Innovating with Google Cloud Artificial Intelligence
Earned gen 24, 2024 EST
Exploring Data Transformation with Google Cloud
Earned gen 24, 2024 EST
Optimize Your Google Cloud Costs
Earned gen 24, 2024 EST
Google Cloud Big Data and Machine Learning Fundamentals - Italiano
Earned gen 23, 2024 EST
Digital Transformation with Google Cloud
Earned gen 22, 2024 EST
Developing a Google SRE Culture
Earned gen 22, 2024 EST
Google Cloud Fundamentals: Core Infrastructure - Italiano
Earned gen 22, 2024 EST
Enterprise Search on Generative AI App Builder
Earned gen 18, 2024 EST
Introduzione all'AI e al machine learning su Google Cloud
Earned ott 20, 2023 EDT
Introduction to Data Analytics on Google Cloud
Earned ott 11, 2023 EDT
Responsible AI: Applying AI Principles with Google Cloud - Italiano
Earned ago 31, 2023 EDT
Generative AI Fundamentals - Italiano
Earned ago 30, 2023 EDT
Introduction to Large Language Models - Italiano
Earned ago 28, 2023 EDT
Introduction to Generative AI - Italiano
Earned ago 28, 2023 EDT
Introduction to Responsible AI - Italiano
Earned ago 28, 2023 EDT