Build a Certification Study Guide: PMLE
Earned Apr 19, 2026 EDT
Customer Experience with Google AI Architecture
Earned Feb 11, 2026 EST
Analyze patterns in conversational data with Customer Experience Insights
Earned Feb 9, 2026 EST
Leverage data with Customer Experience Insights
Earned Feb 9, 2026 EST
Improve customer and agent satisfaction with Agent Assist
Earned Feb 3, 2026 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned Feb 3, 2026 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned Feb 1, 2026 EST
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Jan 26, 2026 EST
Conversational AI Voice and Chat Integrations
Earned Jan 26, 2026 EST
Extend Conversational Agents Functionality with Webhooks and Tools
Earned Jan 21, 2026 EST
Build basic Conversational Agents with Playbooks and Flows
Earned Jan 19, 2026 EST
Extend CX Agents with Vertex AI Search data stores
Earned Jan 19, 2026 EST
Incorporate Generative Features into Conversational Agent Flows
Earned Jan 19, 2026 EST
Create Conversational Agents with Stateful Flows
Earned Jan 14, 2026 EST
Generative Playbooks
Earned Jan 13, 2026 EST
Introduction to Gemini Enterprise for Customer Experience
Earned Jan 11, 2026 EST
Cloud Load Balancing in der Compute Engine implementieren
Earned Nov 30, 2025 EST
Umgebung für die Anwendungsentwicklung in Google Cloud einrichten
Earned Nov 29, 2025 EST
Infrastruktur mit Terraform in Google Cloud erstellen
Earned Nov 26, 2025 EST
Google Cloud-Grundlagen: Kerninfrastruktur
Earned Sep 14, 2025 EDT
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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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.
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Complete the Analyze patterns in conversational data with Customer Experience Insights skill badge to demonstrate your proficiency in analysing customer conversations with Cx Insights. After completing this challenge, you will be ready to deploy Cx Insights to improve customer service performance, and create better customer experiences.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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In this course you will learn how to leverage Customer Experience Insights (CX Insights) to uncover hidden information from your contact center data to increase operational efficiency and drive data-driven business decisions.
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Complete the Improve customer and agent satisfaction with Agent Assist skill badge to demonstrate your proficiency in configuring basic conversational agents that can escalate actions to human agents, and configuring Agent Assist to help human agents with customer queries. You prove your knowledge in configuring Generators for summarization, classification and recommendation of tickets as well leverage tools such as Generative Knowledge Assist, to provide further context to human agents.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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In this course you will learn how 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 Conversational AI ecosystem.
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This course will focus on Agent Assist, an AI-powered tool designed to enhance customer service interactions. In this course, you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the chat channel. You’ll learn how to take full advantage of Agent Assist from Gemini Enterprise for Customer Experience, and its range of Gen AI features and functionality.
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Complete the Extend agent functionality with Webhooks, Tools, and Integrations skill badge to demonstrate your ability to let conversational agents take actions. You will create a flow that calls a webhook and a playbook with a tool and combine them into a hybrid agent. You'll also prepare custom payload for rich content experiences in the Conversational Messenger.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.
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Connect conversational agents to external systems and APIs to expand what agents can do, designing an end-to-end system that is resilient, fault-tolerant and secure.
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Complete the Build basic Conversational Agents with Playbooks and Flows skill badge to demonstrate your proficiency in building virtual agents using traditional NLU and generative-based features.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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In this course, you'll learn to develop AI agents that answer questions using websites, documents, or structured data. You will explore AI Applications and understand the advantages of data store agents, including their scalability and security.
You'll learn about different data store types and also discover how to connect data stores to agents and add personalization for enhanced responses.
Finally, you'll gain insights into common search configurations and troubleshooting techniques.
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Explore the Generative AI features for Conversational Agents and how to incorporate them into stateful Flows.
Discover the possibilities with Generators, Generative Fallback, and Data Stores, as well as best practices and security settings for using these features.
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Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to use them to create conversational agents.
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Explore Playbooks and their implementation of the ReAct pattern for building conversational agents. You will learn how to construct a Playbook, set up goals and instructions to build a chatbot in natural language, and learn to test and deploy your solution.
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This course explores the different products and capabilities of Gemini Enterprise for Customer Experience, including CX Agent Studio, Agent Assist and CX Insights. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.
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Mit dem Skill-Logo zum Kurs Cloud Load Balancing in der Compute Engine implementieren weisen Sie Kenntnisse in folgenden Bereichen nach: virtuelle Maschinen in der Compute Engine erstellen und bereitstellen und Netzwerk- und Application Load Balancer konfigurieren.
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Erhalten Sie ein Skill-Logo, indem Sie den Kurs „Umgebung für die Anwendungsentwicklung in Google Cloud einrichten“ abschließen. Dabei lernen Sie, wie Sie eine speicherorientierte Cloud-Infrastruktur mithilfe der grundlegenden Funktionen der folgenden Technologien erstellen und verbinden: Cloud Storage, Identity and Access Management, Cloud Functions und Pub/Sub.
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Mit dem Skill-Logo Infrastruktur mit Terraform in Google Cloud erstellen weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Grundsätze von Infrastruktur als Code (IaC) unter Verwendung von Terraform, Bereitstellen und Verwalten von Google Cloud-Ressourcen mit Terraform-Konfigurationen, effektives Statusmanagement (lokal und remote) und die Modularisierung von Terraform-Code für Wiederverwendbarkeit und Organisation.
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In „Google Cloud-Grundlagen: Kerninfrastruktur“ werden wichtige Konzepte und die Terminologie für die Arbeit mit Google Cloud vorgestellt. In Videos und praxisorientierten Labs werden viele Computing- und Speicherdienste von Google Cloud sowie wichtige Tools für die Ressourcen- und Richtlinienverwaltung präsentiert und miteinander verglichen.
Build a Certification Study Guide: PMLE
Earned Apr 19, 2026 EDT
Customer Experience with Google AI Architecture
Earned Feb 11, 2026 EST
Analyze patterns in conversational data with Customer Experience Insights
Earned Feb 9, 2026 EST
Leverage data with Customer Experience Insights
Earned Feb 9, 2026 EST
Improve customer and agent satisfaction with Agent Assist
Earned Feb 3, 2026 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned Feb 3, 2026 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned Feb 1, 2026 EST
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Jan 26, 2026 EST
Conversational AI Voice and Chat Integrations
Earned Jan 26, 2026 EST
Extend Conversational Agents Functionality with Webhooks and Tools
Earned Jan 21, 2026 EST
Build basic Conversational Agents with Playbooks and Flows
Earned Jan 19, 2026 EST
Extend CX Agents with Vertex AI Search data stores
Earned Jan 19, 2026 EST
Incorporate Generative Features into Conversational Agent Flows
Earned Jan 19, 2026 EST
Create Conversational Agents with Stateful Flows
Earned Jan 14, 2026 EST
Generative Playbooks
Earned Jan 13, 2026 EST
Introduction to Gemini Enterprise for Customer Experience
Earned Jan 11, 2026 EST
Cloud Load Balancing in der Compute Engine implementieren
Earned Nov 30, 2025 EST
Umgebung für die Anwendungsentwicklung in Google Cloud einrichten
Earned Nov 29, 2025 EST
Infrastruktur mit Terraform in Google Cloud erstellen
Earned Nov 26, 2025 EST
Google Cloud-Grundlagen: Kerninfrastruktur
Earned Sep 14, 2025 EDT