Accelerate Knowledge Exchange with Gemini Enterprise
Earned Feb 25, 2025 EST
Virtual FAQ with data store agents
Earned Jan 22, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned Jan 22, 2025 EST
Performance Measurement
Earned Jan 21, 2025 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned Jan 17, 2025 EST
Webhook fundamentals
Earned Jan 15, 2025 EST
Stateful Flows
Earned Jan 15, 2025 EST
Conversation Design Fundamentals
Earned Jan 14, 2025 EST
DFCX Virtual Agent Delivery Framework
Earned Jan 14, 2025 EST
Customer Engagement Suite with Google AI Architecture
Earned Jan 10, 2025 EST
Intro to Conversational AI and Conversational AI Engagement Framework
Earned Oct 21, 2024 EDT
Contact Center AI: Conversational Design Fundamentals
Earned Oct 4, 2023 EDT
Attention Mechanism
Earned Jun 15, 2023 EDT
Introduction to Large Language Models
Earned Jun 15, 2023 EDT
Introduction to Generative AI
Earned Jun 15, 2023 EDT
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned Jul 14, 2022 EDT
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. Please note Contact Center AI Insights were recently renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product name for Contact Center AI Insights.
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Unite Google’s expertise in search and AI with Gemini Enterprise, a powerful tool designed to help employees find specific information from document storage, email, chats, ticketing systems, and other data sources, all from a single search bar. The Gemini Enterprise assistant can also help brainstorm, research, outline documents, and take actions like inviting coworkers to a calendar event to accelerate knowledge work and collaboration of all kinds.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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In this course, you'll learn to develop generative agents that answer questions using websites, documents, or structured data. You will explore Vertex 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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Demonstrate the ability to create and deploy deterministic virtual agents using Dialgflow CX and augment responses by grounding results on your own data integrating with Vertex AI Agent Builder data stores and leveraging Gemini for summarizations.
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Dialogflow CX
Gemini
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This course explores the fundamentals of the feedback loop process for Conversational Agent development and introduces the native capabilities within Conversational Agents that support it. You will also learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents.
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This course explores the quality assurance best practices and the tools available in Conversational Agents to ensure production grade quality during Conversational Agent development, as well as the key tenets for the creation of a robust end to end deployment lifecycle. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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In this course, you will learn the important role that different types of webhooks play in Conversational Agents development, and how to effectively integrate them into your routine configuration of a Conversational Agent. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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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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This course explores the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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This course explores the best practices, methods and tools to programmatically lead CCAI virtual agent delivery. It includes a high level overview of the end to end journey for building and deploying a virtual agent, as well as the core tenets to create a strong delivery culture. Additionally, this course covers the best practices for workflow management, defect tracking, release management and post-release support to ensure optimal virtual agent performance.
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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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This is an introductory course to all solutions in the Conversational AI portfolio and the Gen AI features that are available to transform them. The course also explores the business case around Conversational AI, and the use cases and user personas addressed by the solution. Please note Dialogflow CX was recently renamed to Conversational Agents and this course is in the process of being updated to reflect the new product name for Dialogflow CX.
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Welcome to "CCAI Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to design customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will be introduced to CCAI and its three pillars (Dialogflow, Agent Assist, and Insights), and the concepts behind conversational experiences and how the study of them influences the design of your virtual agent. After taking this course you will be prepared to take your virtual agent design to the next level of intelligent conversation.
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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Welcome to "Virtual Agent Development in Dialogflow ES for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will use Dialogflow ES to create virtual agents and test them using the Dialogflow ES simulator. This course also provides best practices on developing virtual agents. You will also be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations. Through a combination of presentations, demos, and hands-on labs, participants learn how to create virtual agents.
This is an intermediate course, intended for learners with the following types of roles:
Conversational designers: Designs the user experience of a virtual assistant. Translates the brand's business requirements into natural dialog flows.
Citizen developers: Creates new business applications fo…
Conversational Insights
Earned Apr 11, 2025 EDT
Accelerate Knowledge Exchange with Gemini Enterprise
Earned Feb 25, 2025 EST
Virtual FAQ with data store agents
Earned Jan 22, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned Jan 22, 2025 EST
Performance Measurement
Earned Jan 21, 2025 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned Jan 17, 2025 EST
Webhook fundamentals
Earned Jan 15, 2025 EST
Stateful Flows
Earned Jan 15, 2025 EST
Conversation Design Fundamentals
Earned Jan 14, 2025 EST
DFCX Virtual Agent Delivery Framework
Earned Jan 14, 2025 EST
Customer Engagement Suite with Google AI Architecture
Earned Jan 10, 2025 EST
Intro to Conversational AI and Conversational AI Engagement Framework
Earned Oct 21, 2024 EDT
Contact Center AI: Conversational Design Fundamentals
Earned Oct 4, 2023 EDT
Attention Mechanism
Earned Jun 15, 2023 EDT
Introduction to Large Language Models
Earned Jun 15, 2023 EDT
Introduction to Generative AI
Earned Jun 15, 2023 EDT
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned Jul 14, 2022 EDT