Partecipa Accedi

Enrico Martim Zúcollo

Membro dal giorno 2025

Campionato Oro

23296 punti
Model Armor: Securing AI Deployments Earned ago 17, 2026 EDT
Google Cloud Agent Governance and Security Earned ago 17, 2026 EDT
Secure Enterprise AI Agents Earned ago 11, 2026 EDT
Use Agent Skills with Multi-Agent Systems Earned ago 10, 2026 EDT
Build Agent Skills with Google Earned ago 10, 2026 EDT
Build Collaborative Multi-Agent Systems with ADK & MCP Earned ago 10, 2026 EDT
Orchestrate Multi-agent Workflows with Gemini Enterprise Earned ago 6, 2026 EDT
Human-Centered AI Earned ago 6, 2026 EDT
Deploy Multi-Agent Architectures Earned ago 6, 2026 EDT
Deploy Your First Agent Earned ago 5, 2026 EDT
Build and Deploy Agents in Production Earned ago 5, 2026 EDT
Add Agent Capabilities With Tools Earned ago 4, 2026 EDT
Manage Agent Memory and State Earned ago 4, 2026 EDT
Optimize Agent Behavior Earned ago 4, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK) Earned ago 3, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK) Earned ago 3, 2026 EDT
Enterprise Agents and Use Cases Earned ago 3, 2026 EDT
Agent Fundamentals Earned lug 31, 2026 EDT
Create Your First Gemini Enterprise Application Earned lug 28, 2026 EDT
Arcade For Brazil April 2026 Earned apr 7, 2026 EDT
Put It All Together: Prepare for a Cloud Security Analyst Job Earned apr 4, 2026 EDT
Detect, Respond, and Recover from Cloud Cybersecurity Attacks Earned apr 4, 2026 EDT
Cloud Security Risks: Identify and Protect Against Threats Earned apr 1, 2026 EDT
Strategies for Cloud Security Risk Management Earned mar 25, 2026 EDT
Arcade for Brazil March 2026 Earned mar 18, 2026 EDT
Introduction to Security Principles in Cloud Computing Earned mar 16, 2026 EDT
Gen AI Agents: Transform Your Organization Earned mar 1, 2026 EST
Gen AI Apps: Transform Your Work Earned feb 27, 2026 EST
Gen AI: Navigate the Landscape Earned feb 26, 2026 EST
Gen AI: Unlock Foundational Concepts Earned feb 26, 2026 EST
Gen AI: Beyond the Chatbot Earned feb 26, 2026 EST
Prepara i dati per le API ML su Google Cloud Earned feb 25, 2026 EST
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Earned feb 25, 2026 EST
Implementazione di Cloud Load Balancing per Compute Engine Earned feb 23, 2026 EST
Creazione di una rete Google Cloud sicura Earned feb 20, 2026 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud Earned feb 20, 2026 EST
Configura un ambiente di sviluppo di app su Google Cloud Earned feb 18, 2026 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales Earned feb 16, 2026 EST
Arcade for Brazil Feb 2026 Earned feb 15, 2026 EST
The Basics of Google Cloud Compute Earned feb 11, 2026 EST
[DEPRECATED]- Google Cloud Computing Foundations: Cloud Computing Fundamentals - Italiano Earned feb 10, 2026 EST
Responsible AI: Applying AI Principles with Google Cloud - Italiano Earned set 6, 2025 EDT
Prompt Design in Agent Platform Earned set 5, 2025 EDT
Introduction to Responsible AI - Italiano Earned ago 17, 2025 EDT
Introduction to Large Language Models - Italiano Earned ago 13, 2025 EDT
Introduction to Generative AI - Italiano Earned ago 13, 2025 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 apps. Explore other content in the Gemini Agent Ready (GEAR) program.

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As enterprise teams transition to autonomous AI agents, security evolves toward proactive, identity-centric protection. In this course, you will implement a zero-trust security architecture for Cymbal Banking's underwriting platform using the Gemini Enterprise Agent Platform. By deploying a regional Egress Agent Gateway, configuring Model Armor and Semantic Governance (SGP) safety templates, assigning cryptographic SPIFFE identities to agent runtimes, and declaring a VPC-SC perimeter in Terraform, you will protect database boundaries and manage tools with production-grade governance.

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Learn how to secure and govern AI agents on Google Cloud. This course provides a practical roadmap to securing agent memory, enforcing strict access controls with IAM and VPC Service Controls, and deploying real-time conversation guardrails to ensure safe, compliant enterprise deployments. Explore other content in the Gemini Agent Ready (GEAR) program.

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Complete the advanced Use Agent Skills with Multi-Agent Systems skill badge course to demonstrate skills in building multi-agent systems with ADK, connecting agents with the Agent-to-Agent (A2A) protocol, integrating external tools using the Model Context Protocol (MCP), and deploying a complete multi-agent solution to Agent Engine. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Close the gap between general AI capabilities and your domain knowledge through Agent Skills. This course walks you through the full lifecycle of custom skill building, from local scaffolding and testing to enterprise scaling and sharing using Google's agent ecosystem, including Google Antigravity, ADK, and Skill Registry. Additionally, you use Google Agents CLI toolkit to attach skills to standalone 24/7 cloud agents, equipping your team with reliable, autonomous digital coworkers.

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Learn to design, coordinate, and deploy multi-agent systems using Google’s Agent Development Kit (ADK) and the Model Context Protocol (MCP). Using a travel concierge example, you'll learn to orchestrate a network of specialized agents with custom guardrails. By the end of the course, you'll understand the design patterns and deployment strategies required for robust, scalable AI workflows. Explore other content in the Gemini Agent Ready (GEAR) program.

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Complete the introductory Orchestrate Multi-Agent Workflows with Gemini Enterprise skill badge to demonstrate skills in the following: using agentic assistants powered by Gemini Enterprise to unify data across first- and third-party sources, develop multimedia marketing materials, and automate business actions across systems. Skill badges validate your practical knowledge on specific products through hands-on labs and challenge assessments. Earn a badge by completing a course or jump straight into the challenge lab to get your badge today. Badges prove your proficiency, enhance your professional profile, and ultimately lead to increased career opportunities. Visit your profile to track badges you’ve earned. Explore other content in the Gemini Agent Ready (GEAR) program.

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Explore the vital transition from task-driven workflows to human-centric AI orchestration. You will learn to strategically distinguish between augmentation and automation, and how to balance machine efficiency with human intuition. Explore other content in the Gemini Agent Ready (GEAR) program.

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Complete the advanced Deploy Multi-Agent Architectures skill badge to demonstrate skills in the following: building multi-agent systems with ADK, connecting agents with the Agent-to-Agent (A2A) protocol, integrating external tools using the Model Context Protocol (MCP), and deploying a complete multi-agent solution to Agent Engine. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Take your agents from localhost to production. This course teaches you to deploy ADK agents to Agent Runtime and Cloud Run, with optional cross-session memory via Memory Bank. Explore other content in the Gemini Agent Ready (GEAR) program. Join the community forum for questions and discussions

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Explore the architecture and deployment of multi-agent systems using Google’s Agent Development Kit (ADK) and Google Cloud’s robust infrastructure. You will learn to design hierarchical agent trees and deterministic workflow agents while identifying the ideal hosting environment—from serverless Cloud Run to high-performance GKE—to ensure your AI agents are secure, scalable, and production-ready. Explore other content in the Gemini Agent Ready (GEAR) program.

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You’ve built agents with advanced configuration—now give them real-world capabilities. Equip agents with tools that enable searching the web, executing code, querying databases, and performing custom actions. Transform agents from intelligent responders into capable assistants that take action. Explore other content in the Gemini Agent Ready (GEAR) program. Join the community forum for questions and discussions

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You've built basic LLM agents that respond to queries—now let's make them stateful. Use session state to build agents that maintain context, remember user preferences, and provide personalized experiences. Transform agents from stateless responders to intelligent assistants. Explore other content in the Gemini Agent Ready (GEAR) program. Join the community forum for questions and discussions

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You’ve built your first agent—now it’s time to take it further. In this course, you’ll advance your skills by learning how to turn a basic AI agent into a sophisticated, precise assistant—applying advanced instructions, model selection, planning capabilities, and structured output patterns. Explore other content in the Gemini Agent Ready (GEAR) program. Join the community forum for questions and discussions

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Complete the intermediate Engineer AI Agents with Agent Development Kit (ADK) skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK) in Gemini platform. In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces. You’ll also learn the core parameters that define agent behavior Explore other content in the Gemini Agent Ready (GEAR) program.

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Discover how AI agents drive business impact. You’ll map agent types to your KPIs and explore use cases that solve real bottlenecks. Then, learn how Gemini Enterprise empowers you to build and orchestrate the right agents—from no-code to high-code solutions. Explore other content in the Gemini Agent Ready (GEAR) program.

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This course introduces the fundamentals of AI agents and explores where agents add value in the real world. It provides a foundation for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior. Explore other content in the Gemini Agent Ready (GEAR) program.

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Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and Gemini Notebook for focused analysis. Explore other content in the Gemini Agent Ready (GEAR) program.

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What does it take to manage cloud resources with precision and visibility? In this challenge, you’ll start by working with Cloud Storage using the CLI and defining secure access through custom IAM roles. You’ll then deploy and manage serverless functions using Cloud Run, both from the command line and the console. On the observability side, you’ll set up Cloud Monitoring, track performance across multiple projects, and create alerts using logs-based metrics. Finally, you’ll deploy a Java application on App Engine to see how these components come together in a real-world setup.

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This is the fifth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, identifying vulnerabilities, incident management, and crisis communications in an interactive capstone project. Additionally, you'll finalize your resume updates and put to practice all the new interview techniques you've learned, preparing you to confidently apply for and interview for jobs in the field.

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This is the fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You'll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you'll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you'll continue updating your resume and practicing interview techniques.

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This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You'll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you'll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.

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This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You'll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you'll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.

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What does it take to run applications that stay fast, reliable, and ready to scale? In this challenge, you’ll explore the pieces that make it possible—from designing databases with Cloud Spanner and connecting them to modern web apps, to managing deployments with Google Cloud Deploy. You’ll also learn networking basics, configure an Internal Application Load Balancer, and even create a no-code chat app with AppSheet to see how quickly ideas can turn into working applications.

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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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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. Explore other content in the Gemini Agent Ready (GEAR) program.

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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 Gemini Notebook. 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 is 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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Ottieni il corso intermedio con badge delle competenze Prepara i dati per le API ML su Google Cloud per dimostrare le tue competenze nei seguenti ambiti: pulizia dei dati con Dataprep di Trifacta, esecuzione delle pipeline di dati in Dataflow, creazione dei cluster ed esecuzione dei job Apache Spark in Managed Service for Apache Spark e richiamo delle API ML tra cui l'API Cloud Natural Language, l'API Google Cloud Speech-to-Text e l'API Video Intelligence.

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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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Completa il corso introduttivo con badge delle competenze Implementazione di Cloud Load Balancing per Compute Engine per dimostrare le tue competenze nei seguenti ambiti: creazione ed esecuzione del deployment di macchine virtuali in Compute Engine e configurazione di bilanciatori del carico di rete e delle applicazioni.

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Guadagna un badge delle competenze completando il corso Creazione di una rete Google Cloud sicura, in cui scoprirai più risorse di networking per creare, scalare e proteggere le tue applicazioni su 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 third course covers cloud automation and management tools and building secure networks.

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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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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 i concetti relativi al cloud computing, ai big data e al machine learning 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 secondo corso esamina l'implementazione di modelli …

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Did you know that millions of teams use Google tools every day to meet, collaborate, and manage work—often without seeing the cloud doing the heavy lifting behind the scenes? This challenge brings together essential Google Workspace and Google Cloud basics in one smooth learning journey. You’ll start with familiar tools like Meet, Drive, and Sheets, then move into the fundamentals that power them—managing access with IAM, creating virtual machines, working in Cloud Shell with gcloud, and setting up reliable storage. Step by step, you’ll see how everyday work connects to the infrastructure that keeps everything running.

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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.

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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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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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Complete the introductory Prompt Design in Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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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.

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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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