Customer Engagement Suite with Google AI Architecture
Earned lug 29, 2025 EDT
Conversational AI and its Engagement Framework
Earned lug 29, 2025 EDT
Conversational Insights
Earned lug 28, 2025 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned lug 10, 2025 EDT
Introduzione al ML: elaborazione del linguaggio
Earned lug 9, 2025 EDT
Introduction to Security Principles in Cloud Computing
Earned lug 7, 2025 EDT
Introduction to Security in the World of AI
Earned lug 2, 2025 EDT
AI responsabile per sviluppatori: privacy e sicurezza
Earned lug 2, 2025 EDT
AI responsabile per sviluppatori: interpretabilità e trasparenza
Earned lug 2, 2025 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned lug 2, 2025 EDT
Google Workspace Data Governance
Earned lug 2, 2025 EDT
AI responsabile per sviluppatori: equità e bias
Earned lug 1, 2025 EDT
Google Cloud Essentials
Earned giu 26, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned giu 26, 2025 EDT
Encoder-Decoder Architecture - Italiano
Earned giu 17, 2025 EDT
Attention Mechanism - Italiano
Earned giu 17, 2025 EDT
Introduction to Image Generation - Italiano
Earned dic 4, 2024 EST
Introduction to Generative AI - Italiano
Earned dic 4, 2024 EST
Earn a skill badge by completing the Tag and Discover BigLake Data skill badge course, where you use BigQuery, BigLake, and Data Catalog within Dataplex to create, tag, and discover BigLake tables.
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Earn a skill badge by completing the Get Started with Cloud Storage skill badge course, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket.
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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Earn a skill badge by completing the The Basics of Google Cloud Compute quest, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the Get Started with Pub/Sub skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.
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Earn a skill badge by completing the Monitor Environments with Google Cloud Managed Service for Prometheus skill badge course, where you learn Kubernetes Monitoring with Google Cloud Managed Service for Prometheus.
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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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Moving to the cloud creates numerous opportunities to start working in
a new way and it empowers the workforce to better collaborate and innovate. But
it’s also a big change. Sometimes the success of the change hinges not on the change
itself, but on how it’s managed.
This course will help people managers to understand
some of the key challenges associated with cloud adoption, and provide them with
a verified in-the-field framework that will assist them in supporting their teams
on the change journey. By addressing the human factor of moving to the cloud, organizations
increase their chances of realizing business objectives and investing in their future
talent.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
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Completa il corso introduttivo con badge delle competenze Genera insight dai dati BigQuery per dimostrare le tue competenze nei seguenti ambiti: scrivere query SQL, eseguire query su tabelle pubbliche, caricare dati di esempio in BigQuery, risolvere i problemi di sintassi comuni con lo strumento di convalida query in BigQuery e creare report in Looker Studio collegando ai dati di BigQuery.
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Big data, machine learning e intelligenza artificiale sono i principali argomenti di computing trattati attualmente, ma questi campi sono piuttosto specializzati ed è complicato reperire materiale introduttivo. Fortunatamente, Google Cloud offre servizi facili da usare in queste aree e con questo corso di livello introduttivo, in modo da poter fare i primi passi con strumenti come BigQuery, API Cloud Speech e Video Intelligence.
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This course will equip you with the tools to develop complex conversational experiences in Dialogflow CX capable of identifying the user intent and routing it to the right self service flow.
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In this course you will learn how Contact Center AI Agent Assist can enhance the productivity of human agents while interacting with customers through the Voice channel, as well as the options available for integration with other platforms in the CCAI ecosystem.
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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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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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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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With Google Calendar, you can quickly schedule meetings and events and create tasks, so you always know what’s next. Google Calendar is designed for teams, so it’s easy to share your schedule with others and create multiple calendars that you and your team can use together.
In this course, you’ll learn how to create and manage Google Calendar events. You will learn how to update an existing event, delete and restore events, and search your calendar.
You will understand when to apply different event types such as tasks and appointment schedules.
You will explore the Google Calendar settings that are available for you to customize Google Calendar to suit your way of working.
During the course you will learn how to create additional calendars, share your calendars with others, and access other calendars in your organization.
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Gmail is Google’s cloud based email service that allows you to access your messages from any computer or device with just a web browser.
In this course, you’ll learn how to compose, send and reply to messages. You will also explore some of the common actions that can be applied to a Gmail message, and learn how to organize your mail using Gmail labels.
You will explore some common Gmail settings and features. For example, you will learn how to manage your own personal contacts and groups, customize your Gmail Inbox to suit your way of working, and create your own email signatures and templates.
Google is famous for search. Gmail also includes powerful search and filtering. You will explore Gmail’s advanced search and learn how to filter messages automatically.
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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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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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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 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 helps learners create a study plan for the PMLE (Professional Machine Learning 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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Complete the introductory Migrate MySQL Data to Cloud SQL Using Database Migration Service skill badge course to demonstrate skills in the following: migrating MySQL data to Cloud SQL using different job types and connectivity options available in Database Migration Service and migrating MySQL user data when running Database Migration Service jobs.
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In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.
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This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences.
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Learn how to build a basic virtual agent for your contact center using Dialogflow CX.
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This course explores the quality assurance best practices and the tools available in Dialogflow CX to ensure production grade quality during Virtual Agent development, as well as the key tenets for the creation of a robust end to end deployment lifecycle
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This course explores the fundamentals of the feedback loop process for Virtual Agent development and introduces the native capabilities within Dialogflow CX that support it
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In this course, you will learn how to develop a generative agent capable of answering questions from websites, documents, and/or unstructured data.
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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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In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions. Please note Dialogflow CX was recently renamed to Conversational Agents and CCAI Insights was renamed to Conversational Insights.
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Transform your understanding of customer service with this course on the Customer Engagement Suite (CES) and its powerful generative AI capabilities. You'll start by tracing the journey of contact centers, understanding how they've evolved and where gen AI is propelling them next. Then, you'll gain a deep understanding of the core building blocks within the CES solution, seeing how each component contributes to delivering exceptional customer experiences. The course concludes by exploring the robust business case for CES, along with practical use cases and the various user personas that benefit from this innovative solution.
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In this course you will learn how to leverage Conversational Insights to uncover hidden information from your contact center data to increase operational efficiency and drive data-driven business decisions.
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Non è un segreto che il machine learning sia uno dei campi in più rapida crescita nel settore tecnologico e la piattaforma Google Cloud è stata fondamentale per promuoverne lo sviluppo. Con le numerose API, Google Cloud dispone di uno strumento adeguato praticamente per qualsiasi job di machine learning. In questo corso introduttivo, farai pratica con il machine learning applicato all'elaborazione del linguaggio naturale partecipando ai lab che ti consentiranno di estrarre entità da un testo ed eseguire analisi del sentiment e della sintassi, nonché utilizzare l'API Speech-to-Text per la trascrizione.
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This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.
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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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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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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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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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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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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.
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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 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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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.
Tag and Discover BigLake Data
Earned ott 10, 2025 EDT
Get Started with Cloud Storage
Earned ott 6, 2025 EDT
Create ML Models with BigQuery ML
Earned set 30, 2025 EDT
The Basics of Google Cloud Compute
Earned set 30, 2025 EDT
Get Started with Pub/Sub
Earned set 30, 2025 EDT
Monitor Environments with Google Cloud Managed Service for Prometheus
Earned set 29, 2025 EDT
Share Data Using Google Data Cloud
Earned set 28, 2025 EDT
Managing Change when Moving to Google Cloud
Earned set 25, 2025 EDT
Use Machine Learning APIs on Google Cloud
Earned set 24, 2025 EDT
Manage Kubernetes in Google Cloud
Earned set 4, 2025 EDT
Genera insight dai dati BigQuery
Earned set 3, 2025 EDT
Baseline: dati, ML, AI
Earned set 2, 2025 EDT
Building Complex End to End Self-Service Experiences in Dialogflow CX
Earned ago 8, 2025 EDT
Agent Assist Voice and Integrations
Earned ago 5, 2025 EDT
Scaling with Google Cloud Operations
Earned ago 4, 2025 EDT
Trust and Security with Google Cloud
Earned ago 4, 2025 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned ago 4, 2025 EDT
Innovating with Google Cloud Artificial Intelligence
Earned ago 4, 2025 EDT
Google Calendar
Earned ago 4, 2025 EDT
Gmail
Earned ago 4, 2025 EDT
Exploring Data Transformation with Google Cloud
Earned ago 4, 2025 EDT
Digital Transformation with Google Cloud
Earned ago 4, 2025 EDT
Introduction to Generative AI Studio - Italiano
Earned ago 2, 2025 EDT
Create Image Captioning Models - Italiano
Earned ago 2, 2025 EDT
Transformer Models and BERT Model - Italiano
Earned ago 2, 2025 EDT
Professional Machine Learning Engineer Study Guide
Earned ago 2, 2025 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned ago 2, 2025 EDT
Webhook fundamentals
Earned ago 2, 2025 EDT
Conversation Design Fundamentals
Earned ago 2, 2025 EDT
Building a Virtual Agent with Dialogflow CX
Earned ago 1, 2025 EDT
DFCX Bot Building Quality Assurance and Deployment Lifecycle
Earned ago 1, 2025 EDT
Basic Performance Measurement
Earned ago 1, 2025 EDT
Virtual FAQ with data store agents
Earned lug 31, 2025 EDT
Agent Summarization (Custom)
Earned lug 29, 2025 EDT
Customer Engagement Suite with Google AI Architecture
Earned lug 29, 2025 EDT
Conversational AI and its Engagement Framework
Earned lug 29, 2025 EDT
Conversational Insights
Earned lug 28, 2025 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned lug 10, 2025 EDT
Introduzione al ML: elaborazione del linguaggio
Earned lug 9, 2025 EDT
Introduction to Security Principles in Cloud Computing
Earned lug 7, 2025 EDT
Introduction to Security in the World of AI
Earned lug 2, 2025 EDT
AI responsabile per sviluppatori: privacy e sicurezza
Earned lug 2, 2025 EDT
AI responsabile per sviluppatori: interpretabilità e trasparenza
Earned lug 2, 2025 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned lug 2, 2025 EDT
Google Workspace Data Governance
Earned lug 2, 2025 EDT
AI responsabile per sviluppatori: equità e bias
Earned lug 1, 2025 EDT
Google Cloud Essentials
Earned giu 26, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned giu 26, 2025 EDT
Encoder-Decoder Architecture - Italiano
Earned giu 17, 2025 EDT
Attention Mechanism - Italiano
Earned giu 17, 2025 EDT
Introduction to Image Generation - Italiano
Earned dic 4, 2024 EST
Introduction to Generative AI - Italiano
Earned dic 4, 2024 EST