Generative AI Training on Google Cloud | aboutcontent

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Enterprise AI Governance Essentials for Everyone

This course provides learners with the essential knowledge and practical tools to ensure the safe, ethical, and compliant use of Artificial Intelligence across the enterprise. It is specifically designed to empower every employee who interacts with AI systems, data, or AI-enabled tools—regardless of technical background—to understand and manage the unique governance risks in their daily work. The course focuses on closing the critical gap between rapid AI adoption and governance awareness, emphasizing that most failures are preventable with basic knowledge and adherence to process.The course is structured into three core modules: first, establishing the foundational necessity of AI governance and understanding the five universal governance principles; second, analyzing three detailed cautionary tales that illustrate the catastrophic financial and reputational cost of taking shortcuts; and third, equipping learners with a four-question governance decision framework and a practical toolkit to make governance work.

INTRODUCTORY

Enterprise AI Governance Essentials - Foundations

The 'Enterprise AI Governance Essentials – Foundations' course provides a comprehensive roadmap for your organization to mature its AI governance capabilities. The primary goal is to guide you in establishing and scaling AI governance, ultimately positioning it as a strategic differentiator. The emphasis is on understanding the holistic approach, principles, and keyconsiderations of AI governance from a strategic perspective.

INTRODUCTORY

Empower Decision Makers with Generative AI

This course is designed for business users, business leaders, and decision makerswho want to understand the transformative potential of generative AI and its impacton their organizations. You'll gain a comprehensive understanding of this technology,learn how it can be leveraged to drive innovation and efficiency, and explore therange of generative AI services available on Google Cloud. By the end of this course,you'll be equipped to make informed decisions about implementing AI solutions.

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INTERMEDIATE

Develop Search and Agents with AI Applications

In this course, you learn how to use Vertex AI Search and Conversational Agents to create search engines and chat applications. You will learn how to leverage Vertex AI Search for grounding your gen AI-powered applications. You will then explore how to integrate these search engines and chat applications into your own applications. Finally, you learn how to use the agents built in AI Applications in multiagent workflows.

INTRODUCTORY

Develop Conversational Agents on Google Cloud

Conversational Agents, part of AI Applications, is an intelligent, conversational (GUI) interface. It uses an AI development system with access to SDKs and APIs in multiple languages. In this course, you will learn how to leverage Conversational Agents to design and build conversational agents on Google Cloud.

ADVANCED

Deploy multi-agent systems with Agent Development Kit and Agent Engine

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.

INTERMEDIATE

AI Infrastructure Essentials

This course provides a foundational overview of the hardware, software, and networking components required to develop and manage AI models at scale. It explores Google Cloud's AI Hypercomputer architecture, compares compute accelerators like GPUs and TPUs, and examines the critical data pipelines and storage solutions necessary to maximize training performance. It is designed for IT decision-makers and infrastructure architects seeking to understand enterprise-grade AI deployment.

INTERMEDIATE

Agentic AI Governance Essentials

This course provides learners with the essential skills to govern the design, deployment, and scaling of autonomous, Agentic AI systems. It focuses on enabling rapid innovation and accelerating speed-to-market while managing the unique risks presented by AI systems that can make decisions without constant human input.The course is structured around the practical application of the four-phase Agentic AI Governance Maturity Roadmap (Establish, Implement, Scale, Accelerate).The course uses a blend of presentations, detailed case-study scenarios (Cymbal Health, Cymbal Insurance, etc.), group discussions, a tabletop exercise, and quizzes to ensure effective learning. The real-world examples ensure participants can immediately connect theoretical principles to their own organizational and regulatory challenges.

INTERMEDIATE

Agent Observability on Google Cloud

This course provides an applied, intermediate guide to operationalizing AI agents, focusing specifically on achieving production confidence and cost predictability for Gemini-powered workflows on Google Cloud. Participants will learn the methodology and actionable skills necessary to transform non-deterministic agent logic into transparent, auditable, and scalable systems.The course covers core operational disciplines, including mapping the agent's complex thought process (ReAct loops) to Cloud Trace Spans for debugging, implementing Logs-Based Security Metrics for compliance, and setting up actionable alerts and custom dashboards in Cloud Monitoring to proactively control cost overruns and quality drift. The course uses presentations, Visual Walkthroughs, and strategic discussions to ensure effective learning that is directly applicable to the Vertex AI ecosystem

Language

Generative AI

Enterprise AI Governance Essentials for Everyone

Enterprise AI Governance Essentials - Foundations

Empower Decision Makers with Generative AI

Develop Search and Agents with AI Applications

Develop Conversational Agents on Google Cloud

Deploy multi-agent systems with Agent Development Kit and Agent Engine

AI Infrastructure Essentials

Agentic AI Governance Essentials

Agent Observability on Google Cloud