Rogelio Monter
Member since 2021
Gold League
9077 points
Understand Google Cloud Agents
Earned Sep 8, 2026 EDT
Enterprise Agents and Use Cases
Earned Sep 7, 2026 EDT
Create Your First Gemini Enterprise Application
Earned Sep 7, 2026 EDT
Introduction to Gemini Enterprise
Earned Sep 4, 2026 EDT
Future-Proof Your AI Learning Strategy
Earned Nov 25, 2025 EST
[DEPRECATED] Orchestrating Gen AI Applications with LangChain
Earned Nov 11, 2025 EST
Orchestrate LLM solutions with LangChain
Earned Nov 10, 2025 EST
Deploy Multi-Agent Systems with Gemini Enterprise Agent Platform
Earned Nov 10, 2025 EST
Build generative virtual agents with API integrations
Earned Nov 5, 2025 EST
Introduction to Gemini Enterprise for Customer Experience
Earned Nov 4, 2025 EST
Accelerate Knowledge Exchange with Gemini Enterprise
Earned Nov 3, 2025 EST
Analyzing and Visualizing Data in Looker
Earned Sep 19, 2024 EDT
[DEPRECATED]Introduction to Responsible AI
Earned Jan 9, 2024 EST
Introduction to Generative AI
Earned Jan 9, 2024 EST
Introduction to Large Language Models
Earned Jan 9, 2024 EST
This course provides a comprehensive overview of Google Cloud's agent platforms, Gemini Enterprise app, Conversational Agents, Customer Experience (CX) Studio, Gemini Enterprise Agent Platform, and Agent Development Kit. Learners will understand the unique capabilities of each offering, distinguish between the optimal solution for specific use cases, and gain foundational knowledge in creating search and chat applications. 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 Enterprise 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 Enterprise Agent Ready (GEAR) program.
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This course introduces Gemini Enteprise, a powerful platform that brings together AI agents, enterprise search, Gemini Notebook, and intelligent data access to solve organizational challenges. Through real-world examples and hands-on exploration, learners will be able to connect Gemini Enterprise capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Organizations need to learn fast to keep up with rapidly evolving technology, especially AI. The demand for new skills is constantly rising for all staff.
This course shows how top leaders prioritize AI training. You'll learn to future-proof your organization and set up effective learning programs using Google Skills. Discover how to leverage ready-made materials, design custom experiences, and adapt blended learning strategies for positive business and employee returns.
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This course equips full-stack mobile and web developers with the skills to integrate generative AI features into their applications using LangChain. You'll learn how to leverage LangChain’s capabilities for backend flows and seamless model execution, all within the familiar environment of Python. The course guides you through the entire process, from prototyping to production, ensuring a smooth journey in building next-generation AI-powered applications.
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Learn to use LangChain to call Google Cloud LLMs and Generative AI Services and Datastores to simplify complex applications' code.
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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 Agent Runtime on Gemini Enterprise Agent Platform to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Runtime.
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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Demonstrate the ability to create and deploy generative virtual agents with natural language using Vertex AI Agent Builder and augment responses by integrating Gemini responses with third party APIs and your own data stores
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Gemini
Cloud Functions
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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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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 learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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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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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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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