Accelerate Knowledge Exchange with Gemini Enterprise
Earned бер. 4, 2026 EST
Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
Earned лют. 19, 2026 EST
Introduction to Gemini Enterprise for Customer Experience
Earned лют. 15, 2026 EST
Build search and recommendations applications with AI Applications
Earned лют. 14, 2026 EST
Create and maintain Vertex AI Search data stores
Earned лют. 13, 2026 EST
Create Data Stores for Gen AI Applications
Earned лют. 13, 2026 EST
Introduction to AI Applications
Earned лют. 12, 2026 EST
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 use the Google Agent Development Kit to build complex, multi-agent systems. You will build agents equipped with tools, and connect them with parent-child relationships and flows to define how they interact. You’ll run your agents locally and deploy them to Vertex AI Agent Engine to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Engine.
Please note these labs are based off a pre-released version of this product. There may be some lag on these labs as we provide maintenance updates.
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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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Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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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Complete the Create and maintain Vertex AI Search data stores skill badge to demonstrate your proficiency in building various types of data stores used in Vertex AI Search applications.
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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Data stores represent a simple way to make content available to many types of generative AI applications, including search applications, recommendations engines, Gemini Enterprise apps, Agent Development Kit agents, and apps built with Google Gen AI or LangChain SDKs. Connect data from many sources include Cloud Storage, Google Drive, chat apps, mail apps, ticketing systems, third-party file storage providers, Salesforce, and many more.
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This course introduces AI Applications. You will learn about the types of apps that you can create using AI Applications, the high-level steps that its data stores automate for you, and what advanced features can be enabled for Search apps.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
Accelerate Knowledge Exchange with Gemini Enterprise
Earned бер. 4, 2026 EST
Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
Earned лют. 19, 2026 EST
Introduction to Gemini Enterprise for Customer Experience
Earned лют. 15, 2026 EST
Build search and recommendations applications with AI Applications
Earned лют. 14, 2026 EST
Create and maintain Vertex AI Search data stores
Earned лют. 13, 2026 EST
Create Data Stores for Gen AI Applications
Earned лют. 13, 2026 EST
Introduction to AI Applications
Earned лют. 12, 2026 EST