Google Cloud AI Training Catalog
Browse by product line or explore the full catalog
Browse by Product Line
Workspace AI
View courses →Data & Analytics AI
View courses →AI/ML & Agents
View courses →Governance & Security
View courses →Official Google Training
View courses →ADK Course Series
View courses →Axalon Originals
Beyond the Google Curriculum — The implementation playbooks Google doesn't teach
Advanced Agent Use Cases
Enterprise integration patterns and complex orchestration. Morning: Google Workspace agents, QA testing with Thinking Mode. Afternoon: Multi-agent architectures, personas, and trust protocols (AP2).
Agentic Architecture & Design
Build production-ready AI agents from foundations to deployment. Master the cognitive loop, design patterns (Sequential, Router, Parallel), tool integration, and state management. Hands-on workshop approach with 20% theory, 60% labs, 20% building your own agent.
AI Governance Essentials for Google Cloud
Implement practical AI governance in Google Cloud environments. This intensive bridges the gap between compliance frameworks (ISO 42001, EU AI Act, SAIF) and the actual controls you need to configure. Leave with a governance playbook specific to your organization's Google Cloud AI deployment.
AI Security with Model Armor
Secure your AI applications using Model Armor and Google Cloud security tools. Learn to protect against prompt injection, data leakage, adversarial attacks, and model manipulation.
BigQuery ML for Business Analysts
Bridge the gap from SQL analyst to AI-enabled analyst. This intensive teaches you to build machine learning models using familiar SQL syntax—no Python required. Learn forecasting, classification, clustering, and text analysis using BigQuery ML, then apply these skills to real business problems.
Building AI Agents with ADK
Hands-on workshop building production-ready AI agents using Google Agent Development Kit. Learn agent architecture, tool integration, memory management, and deployment on Google Cloud.
Enterprise Security & Governance
Secure your AI agents for production deployment. Deep dive into IAM configuration, VPC Service Controls, guardrails implementation, and Human-in-the-Loop (HITL) approval workflows. 50/50 theory/practice balance.
Evaluation & Optimization
Quantify agent quality and optimize performance. Day 1: Evaluation frameworks—trajectory analysis, RAGAS, golden dataset creation. Day 2: Performance testing with Locust, model cascading, and cost optimization.
Gemini Enterprise Platform Fundamentals
Comprehensive training on the Gemini Enterprise platform for organizations. Covers administration, security, compliance, deployment strategies, and governance for enterprise-wide AI adoption.
Gemini for Workspace: Finance Teams
Apply Gemini to financial analysis, reporting, and planning workflows. This workshop teaches finance professionals to analyze data in Sheets using natural language, draft financial narratives, create board presentations, and automate routine financial communications—while maintaining accuracy and compliance standards.
Gemini for Workspace: HR Teams
Transform HR workflows with Gemini for Workspace. This workshop teaches HR professionals to draft job descriptions, create interview guides, develop training materials, analyze employee data, and streamline HR communications—while maintaining fairness, privacy, and compliance standards.
Gemini for Workspace: Marketing Teams
Unlock the full potential of Gemini for marketing workflows. This role-specific workshop goes beyond basic prompting to teach marketing professionals how to create campaign content, analyze performance data, generate creative variations, and automate repetitive tasks—all within the Google Workspace tools you already use.
Gemini for Workspace: Sales Teams
Accelerate sales workflows with Gemini for Workspace. This workshop teaches sales professionals to research prospects, craft personalized outreach, prepare for meetings, analyze pipeline data, and create compelling proposals—all within the tools you use every day.
Gemini in BigQuery: Natural Language Analytics
Query your data using natural language with Gemini in BigQuery. Learn to translate business questions into SQL, generate insights, and make data analysis accessible to non-technical stakeholders.
Interoperability & Integration
Connect agents via MCP and A2A protocols. Day 1: Model Context Protocol (MCP)—the "USB-C for AI". Day 2: Agent-to-Agent (A2A) protocol for decentralized intelligence.
Java ADK Development
Build agents using Java ADK for enterprise Java teams. Morning: Java ADK fundamentals—differences from Python ADK, Maven/Gradle setup. Afternoon: Stateful Java agents with AlloyDB integration.
Looker AI for Data Visualization
Master Looker AI capabilities for next-generation business intelligence. Learn to create AI-powered dashboards, generate automated insights, and build natural language interfaces for data exploration.
Low-Code Agent Development
Build agents without code using ADK Visual Builder. Create agents with sub-agents, custom tools, and workflow patterns—all through a visual interface. Perfect for business analysts and citizen developers.
Multimodal Agents
Build agents that process images, audio, and video. Morning: Multimodal tool interaction—callbacks, context modification. Afternoon: Production multimodal agents with Gemini 2.5 and Firestore integration.
Multimodal AI Applications with Gemini
Build applications that process text, images, audio, and video using Gemini multimodal capabilities. Learn to create content analysis tools, document processors, and multimedia AI assistants.
NotebookLM for Business Professionals
Transform how you synthesize information and create insights with NotebookLM, Google's AI-powered research assistant. This hands-on workshop teaches you to manage sources effectively, generate Audio Overviews for executive briefings, collaborate with teams, and configure enterprise security settings. Leave with practical workflows you can apply immediately.
Production & Operations
Deploy agents with CI/CD pipelines and observability. Condensed 1-day intensive covering Cloud Run deployment, GitHub Actions pipelines, structured logging, Cloud Trace, and monitoring dashboards.
RAG & Knowledge Agents
Build agents with retrieval-augmented generation. Day 1: RAG fundamentals—pipelines, agentic RAG, retrieval strategies. Day 2: Advanced knowledge integration—GraphRAG, vector search, AlloyDB embeddings.
Responsible AI in Practice
Implement responsible AI practices in your organization. Learn to evaluate models for bias, ensure fairness, maintain transparency, and build AI systems that align with ethical guidelines.
Vertex AI Agent Builder for Business Process Automation
Build enterprise AI agents using Vertex AI Agent Builder. Learn to automate complex business processes, integrate with enterprise systems, and deploy agents that handle multi-step workflows.
Workspace Studio: No-Code AI Agents
Build custom AI agents without writing code using Workspace Studio. Learn to create automated workflows, integrate with Google Workspace apps, and deploy AI assistants that handle routine tasks.
Official Google Cloud Courses
112 authorized Google ILT courses
ADK Workshop: Building AI Agents
Hands-on workshop building AI agents with Google ADK.
Agentic AI Governance Essentials
This course provides learners with essential skills to govern the design, deployment, and scaling of autonomous Agentic AI systems. It focuses on enabling rapid innovation while managing the unique risks presented by AI systems that can make decisions without constant human input. The course is structured around the four-phase Agentic AI Governance Maturity Roadmap.
AI Fluency for Enterprise Leaders
This course provides C-suite, board members, and senior leaders with the strategic fluency required to govern, implement, and leverage Artificial Intelligence safely and effectively. It shifts the focus from technical details to strategic oversight, risk management, and achieving sustainable competitive advantage.
AlloyDB Essentials
This course explores the benefits of AlloyDB, especially compared to PostgreSQL on Cloud SQL. It walks you through AlloyDB unique architecture and explains how to configure deployments on Google Cloud. The course is divided into two parts: AlloyDB Administration Essentials (architecture and configuration) and AlloyDB Optimization Essentials (performance tuning).
Analyzing and Visualizing Data in Looker
Learn to do data exploration and analysis in Looker that would formerly be done by SQL developers or analysts. Leverage Looker's modern analytics platform to find and explore relevant content, ask questions of data, create new metrics, and build and share visualizations and dashboards to facilitate data-driven decision-making.
Application Development with Cloud Run
Introduces fundamentals, practices, capabilities and tools for modern cloud application development with Cloud Run through lectures, hands-on labs, and supplemental materials.
Application Development with LLMs on Google Cloud
Dive into the details of using Large Language Models (LLMs) in your applications. Explore core principles of prompting LLMs, focus on Gemini models and their multimodal capabilities, and learn application development frameworks.
Architecting with Google Cloud Design and Process
Features combination of lectures, design activities, and hands-on labs showing how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective.
Architecting with Google Compute Engine
This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This course uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services.
Architecting with Google Kubernetes Engine
Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE) using lectures, demos, and hands-on labs to explore infrastructure components like pods, containers, deployments, and services, along with networks and application services.
Automation with Gemini for Google Workspace Essentials
Gemini for Google Workspace provides customers with generative AI features in Google Workspace. In this course, you learn about the main features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
BigQuery for Data Analysts
This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision-making.
Cloud Digital Leader
Foundational training on cloud technology, data, artificial intelligence, and Google Cloud products that enable digital transformation to empower business leaders and teams.
Cloud Digital Leader (Scaled)
Designed to give you foundational knowledge about cloud technology, data, artificial intelligence, and Google Cloud products that enable digital transformation, Cloud Digital Leader can empower you and your team to contribute to cloud-related business initiatives in your organization. Whether you are an experienced leader or new to the cloud, CDL equips you with the tools and confidence to make a real difference.
Cloud Hero BigQuery Skills
This game equips you with hands-on experience crafting queries to unlock insights from BigQuery public datasets. Learn to export data, create Cloud SQL instances, and manage tables. Sharpen your skills by troubleshooting common SQL errors and writing effective queries to transform raw data into actionable intelligence.
Cloud Hero Infra II Skills
Dive deeper into the Google Cloud Console to manage virtual machines. This action-packed game equips you to create Windows VMs, navigate Cloud Shell, and wield the gcloud command-line tool. Sharpen your skills by setting up network and HTTP(S) load balancers to distribute traffic effectively across your applications.
Cloud Hero Infra Skills
This game equips you with hands-on experience in the Cloud Console. Learn to create virtual machines, explore Cloud Shell and the gcloud command-line tool, and deploy a web server. Master fundamental skills like project management and user permissions. Explore Google Kubernetes Engine (GKE) for deploying and managing containerized applications.
Cloud Hero Intro to BigQuery: Analytics & Machine Learning
This Cloud Hero game equips you with BigQuery, Google powerful data warehouse, for analyzing massive datasets using familiar SQL. Go a step further and explore BigQuery Machine Learning (ML) to build models directly in BigQuery. Through hands-on labs, you will learn to unearth public datasets, seamlessly import them, and craft efficient data structures for analysis. Furthermore, you will delve into BigQuery ML to predict customer behavior and even forecast taxi fares using real-world data.
Cloud Hero Kubernetes Skills
Master building, running, and debugging Docker containers, deploying containerized applications on Google Kubernetes Engine (GKE), and managing deployments with kubectl. This hands-on game covers container orchestration, scaling strategies, and advanced deployment techniques for microservices architectures.
Cloud Hero: Gemini & Vertex AI
Gain practical experience using Vertex AI Gemini models to tackle tasks like code generation, function writing, and information extraction – all powered by natural language prompts. You will explore cURL commands and the Vertex AI Python SDK for interacting with Gemini, culminating in deploying a Streamlit application that integrates Gemini Pro. This game is ideal for developers and anyone curious about leveraging the power of generative AI.
Cloud Hero: GenAI Search and Conversation
Embark on a journey into the realm of generative AI with this Cloud Hero game. You will delve into Vertex AI, a powerful platform that enables you to build and deploy cutting-edge AI models. Explore the capabilities of Gemini, a versatile model capable of analyzing diverse data formats, from text and images to audio and video. Learn how to efficiently build and deploy AI models using Vertex AI Studio, and gain insights into integrating search and embedding functionalities into your applications.
Cloud Hero: GenAI Solutions with Vertex AI and ADK
This game guides you through Vertex AI Studio, where you will use Gemini for prompt engineering and multimodal analysis. You will then build and deploy scalable multi-agent systems with the Agent Development Kit (ADK), equipping them with various tools. Master advanced AI application development.
Cloud Hero: Getting Started with Gemini Enterprise
Cloud Hero game introduces you to Gemini Enterprise, a powerful platform that leverages Gemini advanced reasoning to connect enterprise data and empower employees. You will gain hands-on experience deploying Gemini Enterprise applications and integrating them with diverse data sources such as Google Drive, Cloud Storage, and Google Calendar. You will then explore its core capabilities, including using the general AI assistant for efficient information discovery and summarization.
Cloud Hero: IAM & Security Skills
Master Identity and Access Management (IAM) for granular resource control. Craft custom roles for precise permission delegation. Leverage service accounts for secure application access. Establish private network connections with VPC Network Peering. Emerge as a cloud security architect, safeguarding data integrity and ensuring regulatory compliance in Google Cloud.
Cloud Hero: Looker Skills
This hands-on experience equips you to explore and analyze data using interactive Explores. Craft compelling visualizations, filter and sort data for deeper insights, and leverage Looker functions for advanced data manipulation. Learn to merge results from multiple Explores for comprehensive analysis.
Cybersecurity Essentials in Google Cloud
This course covers cybersecurity essentials, from foundational terms and frameworks to practical application on Google Cloud. You will learn to differentiate between traditional and modern AI-powered security, analyzing how AI accelerates threat detection, investigation, and response. Gain critical skills to protect cloud environments.
Data Engineering on Google Cloud
Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.
Data Integration with Cloud Data Fusion
This 2-day course introduces learners to Google Cloud's data integration capability using Cloud Data Fusion. In this course, we discuss challenges with data integration and the need for a data integration platform (middleware). We then discuss how Cloud Data Fusion can help to effectively integrate data from a variety of sources and formats and generate insights. We take a look at Cloud Data Fusion's main components and how they work, how to process batch data and real time streaming data with visual pipeline design, rich tracking of metadata and data lineage, and how to deploy data pipelines on various execution engines.
Data Solutions Lab
The Data Engineering Solutions Lab (DSL) is a 10-Day, focused, immersive learning experience that rapidly upskills your team on Google Cloud data engineering principles and best practices. The program combines five days of expert-led training sessions on key data engineering concepts (e.g., data warehousing, pipelines, data quality) with hands-on labs and a five-day collaborative capstone project. The capstone challenges participants to address a real-world use case using Google Cloud tools.
Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration
In this course, you learn about the internals of BigQuery and best practices for designing, optimizing, and administering your data warehouse. Through a combination of lectures, demos, and labs, you learn about BigQuery architecture and how to design optimal storage and schemas for data ingestion and changes.
Deploy multi-agent systems with Agent Developer Kit and Agent Engine
Learn to use the Google Agent Development Kit to build complex, multi-agent systems. Build agents equipped with tools, connect them with parent-child relationships and flows, and deploy them to Vertex AI Agent Engine as managed agentic flows.
Develop Conversational Agents on Google Cloud
Conversational Agents, part of AI Applications, is an intelligent, conversational (GUI) interface. Conversational Agents 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.
Develop Search and Agents with AI Applications
Learn how to use Vertex AI Search and Conversational Agents to create search engines and chat applications. Leverage Vertex AI Search for grounding gen AI-powered applications and integrate agents into multi-agent workflows.
Developing APIs with Google Cloud's Apigee API Platform
In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. You learn how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers.
Developing Applications with Google Cloud
In this 3-day instructor-led course, you learn the fundamentals of application development on Google Cloud. You learn best practices for designing cloud applications, and how to choose compute and data options for your apps. You learn about authentication and authorization, generative AI for developers, and continuous integration and delivery for your apps running in Google Cloud.
Developing Data Models with LookML
This course empowers you to develop scalable, performant Looker Modeling Language (LookML) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization's Looker instance.
Drug Discovery Essentials on Google Cloud
This course provides learners with essential skills to leverage Google Cloud AI and Machine Learning to transform the Drug Discovery pipeline. It focuses on accelerating time-to-market and enhancing precision by overcoming high costs, long timelines, and low success rates through data and automation.
Empower Decision Makers with Generative AI
This course is designed for business users, business leaders, and decision makers who want to understand the transformative potential of generative AI and its impact on their organizations.
Empower Decision Makers with Generative AI (Scaled)
This course is designed for business users, business leaders, and decision makers who want to understand the transformative potential of generative AI and its impact on their organizations. You will gain a comprehensive understanding of this technology, learn how it can be leveraged to drive innovation and efficiency, and explore the range of generative AI services available on Google Cloud.
Enterprise AI Governance Essentials - Foundations
This 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 key considerations of AI governance from a strategic perspective.
Enterprise AI Governance Essentials - Optimization
This 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 key considerations of AI governance from a strategic perspective.
Enterprise AI Governance Essentials for Everyone
This course provides learners with essential knowledge and practical tools to ensure 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 to understand and manage unique governance risks in their daily work.
Enterprise Database Migration
This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs participants move databases to GCP while taking advantage of various GCP services. This course covers how to move on-premises, enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud bare metal.
Essentials of Monitoring Critical Systems
This course provides an overview of Google Cloud Monitoring. Participants will learn to monitor across multiple projects, build insightful dashboards, and create uptime checks for resource availability. They will explore querying with Prometheus Query Language (PromQL) for advanced analysis and learn how to enhance observability using AI-powered capabilities of Google Cloud Gemini.
Gemini Code Assist Essentials
This course provides a comprehensive overview of Gemini Code Assist, an AI-powered tool designed to significantly enhance software development workflows. Participants will learn how Gemini Code Assist can improve coding efficiency, reduce errors, and accelerate the software delivery lifecycle through intelligent code completion, advanced code generation, and powerful smart actions.
Gemini Enterprise and NotebookLM Essentials
This course provides an introduction to Gemini Enterprise and NotebookLM Enterprise, AI-powered tools designed to enhance information discovery, knowledge management, and productivity within organizations.
Gemini Enterprise and NotebookLM Essentials for Business Users
This course equips business professionals with essential skills for leveraging Gemini Enterprise and NotebookLM, covering generative AI basics, effective prompting, and enterprise-wide search and assistance.
Gemini for Google Workspace
Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this course, you learn about the main features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
Gemini for Google Workspace (Scaled)
Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this course, you learn about the main features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
Gemini in BigQuery for Data Practitioners
This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.
Generative AI Explorer
This hands-on experience equips you with Vertex AI suite of tools for building and deploying custom models. Leverage BigQuery for data preparation and train TensorFlow models locally. Master prompt design best practices within Vertex AI Studio and explore cutting-edge Gemini models.
Generative AI in Production
In this course, you learn about the different challenges that arise when productionizing generative AI-powered applications versus traditional ML. You will learn how to manage experimentation and tuning of your LLMs, then you will discuss how to deploy, test, and maintain your LLM-powered applications.
Generative AI Leader
In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.
Generative AI Leader (Scaled)
In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.
Getting Started with FinOps on Google Cloud
Interactive learning experience providing actionable steps to implement Cloud Financial Management strategy to maximize cloud investment with Google Cloud.
Getting Started with Google Kubernetes Engine
This course covers an introduction to Kubernetes, a software layer that sits between your applications and your hardware infrastructure. Google Kubernetes Engine (GKE) brings you Kubernetes as a managed service on Google Cloud.
Getting Started with Google Kubernetes Engine (Scaled)
This course covers an introduction to Kubernetes, a software layer that sits between your applications and your hardware infrastructure. Google Kubernetes Engine (GKE) brings you Kubernetes as a managed service on Google Cloud. This course teaches the basics of GKE and how to get applications containerized and running in Google Cloud.
Getting Started with Terraform for Google Cloud
This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Getting Started with Terraform for Google Cloud (Scaled)
This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building Google Cloud resources using Terraform.
Google AI Integration for Financial Services
This course equips Financial Services professionals with the skills to leverage Google AI tools, including Gemini and NotebookLM Enterprise, to enhance financial analysis, reporting, and client communication.
Google AI Integration for General Workflows
This course equips professionals with skills to leverage Google AI tools—Gemini, NotebookLM, and Gemini Enterprise—to transform daily workflows through enhanced communication, secure information synthesis, and automated task management.
Google AI Integration for Human Resources
This course equips HR professionals with the skills to leverage Google AI tools, including Gemini and NotebookLM Enterprise, to draft clear communications, enhance linguistic quality with Gemini Gems, and synthesize policies using trusted sources.
Google AI Integration for Legal
This course equips legal professionals with the skills to leverage Google AI tools (Gemini, NotebookLM, and Gemini Enterprise) to transform daily legal workflows, enhancing legal research, communication, and document analysis.
Google AI Integration for Marketing
This course equips Marketing professionals with the skills to leverage Google AI tools, including Gemini and NotebookLM Enterprise, to create engaging campaign content, optimize marketing copy with Gemini Gems, and synthesize market research for strategy.
Google AI Integration for Media and Entertainment
This course equips media and entertainment professionals with the skills to leverage Google AI tools (Gemini and NotebookLM) to transform the entire creative production pipeline, from ideation to asset creation.
Google AI Integration for Operations
This course equips Operations professionals with the skills to leverage Google AI tools, including Gemini and NotebookLM Enterprise, to document operational processes, enhance internal communications, analyze performance data, and automate workflow management.
Google AI Integration for Sales
This course equips Sales professionals with the skills to leverage Google AI tools, including Gemini and NotebookLM Enterprise, to draft personalized outreach, refine client communications, analyze sales data, and automate lead qualification and follow-up processes.
Google Cloud Fundamentals for Researchers
Learn how to use various tools in Google Cloud to ingest, manage and leverage your data to derive insights in your research.
Google Cloud Fundamentals: Core Infrastructure
This course uses lectures and labs to give you an overview of Google Cloud products and services. You learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.
Google Cloud Fundamentals: Core Infrastructure (Scaled)
This course uses lectures and labs to give you an overview of Google Cloud products and services. You learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.
Google Cloud Infrastructure for AWS Professionals
This is a course for cloud architects and engineers with existing AWS knowledge that compares Google Cloud solutions with AWS and guides professionals on their use. In this course, you'll apply the concepts and technologies knowledge in AWS to explore the similarities and differences with concepts and technologies in Google Cloud. You'll get hands-on practice building and managing Google Cloud resources.
Google Cloud Infrastructure for Azure Professionals
This is a course for cloud architects and engineers with existing Azure knowledge that compares Google Cloud solutions with Azure and guides professionals on their use. In this course, you'll apply the concepts and technologies knowledge in Azure to explore the similarities and differences with concepts and technologies in Google Cloud. You'll get hands-on practice building and managing Google Cloud resources.
Google Kubernetes Engine for Developers Essentials
This course provides a comprehensive introduction to Google Kubernetes Engine (GKE) and its essential concepts for cloud developers, covering containerization with Docker, Kubernetes architecture, and GKE deployment best practices.
Industry Use Cases for Generative AI
This course explores generative AI use cases across specific industries using Google Cloud. After discussing generative AI in general, participants will deep dive into two generative AI use cases and then explore their own use case within the same framework.
Introduction to AI and Machine Learning on Google Cloud
Introduces Google Cloud AI and ML capabilities, focusing on developing both generative and predictive AI projects through data-to-AI lifecycle exploration.
Introduction to AI and Machine Learning on Google Cloud (Scaled)
This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
Introduction to Data Analytics on Google Cloud
Introduction to data analytics on Google Cloud covering basics of data analysis including collection, storage, exploration, visualization, and sharing for learners with no prior experience.
Introduction to Data Analytics on Google Cloud (Scaled)
Introduction to data analytics on Google Cloud covering collection, storage, exploration, visualization, and sharing. Demonstrates how to go from raw data to impactful visualizations and dashboards using BigQuery, Looker, and Looker Studio.
Introduction to Data Engineering on Google Cloud
Learn about data engineering on Google Cloud, roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud.
Introduction to Data Engineering on Google Cloud (Scaled)
In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.
Introduction to Developer Efficiency on Google Cloud
Introduces how generative AI can make developers more efficient at writing code with Gemini Code Assist and implementing new features into applications, exploring Gemini Cloud Assist for application architecture and issue investigation.
Introduction to Gemini Enterprise
This course introduces Gemini Enterprise, a powerful platform that brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges.
Introduction to Generative AI for Decision Makers
This course is designed for business users, business leaders, and decision makers seeking to gain a comprehensive understanding of generative AI and its potential impact on their businesses, including generative AI services on Google Cloud.
Introduction to Vertex AI Search for Commerce
In this course you will explore Vertex AI Search for commerce and how it can be used to improve customer experience. You will explore the core functionalities of Vertex AI Search for commerce with a discussion on common use cases and solutions before implementing a basic search app in Vertex AI Search for commerce. Afterwards, you will discuss how to manage data ingestion and quality for your search app, optimize recommendations with personalization, deploy your search app, monitor and analyze search performance, and discuss advanced features and general best practices.
Introduction to Vertex Forecasting and Time Series in Practice
Introduction to building forecasting solutions with Google Cloud covering sequence models, time series foundations, and end-to-end workflow from data preparation to model development and deployment with Vertex AI.
Logging, Monitoring, and Observability in Google Cloud
This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud. Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.
Looker Developer Deep Dive
LookML not only serves as the foundation for visualization assets in Looker, but is also capable of dynamic aggregations, incrementally refreshed persistent derived tables, and more. In this course you will practice the skills to be an advanced Looker Developer through guided lectures and independent exercises using sample data.
Machine Learning on Google Cloud
This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project. You learn how to build AutoML models without writing a single line of code; build BigQuery ML models using SQL, and build Vertex AI custom training jobs by using Keras and TensorFlow. You also explore data preprocessing techniques and feature engineering.
Manage Scalable Workloads in GKE Enterprise
Discover how to modernize, manage, and observe applications at scale using Google Kubernetes Engine. This course uses lectures and hands-on labs to help you explore and deploy using Google Kubernetes Engine (GKE), GKE fleets, Cloud Service Mesh, and config controller capabilities that will enable you to work with modern applications, even when they are split among multiple clusters hosted by multiple providers.
Managing a Data Mesh with Dataplex
Dataplex is an intelligent data fabric that enables organizations to centrally discover, manage, monitor, and govern their data across data lakes, data warehouses, and data marts. You can use Dataplex to build a data mesh architecture to decentralize data ownership among domain data owners. In this course, you will learn how to discover, manage, monitor, and govern your data across data lakes, data warehouses, and data marts through guided lectures and independent exercises using sample data.
Managing Google Cloud's Apigee API Platform for Hybrid Cloud
Learn how to install and manage Google Cloud's Apigee API Platform in a hybrid cloud. This course uses lectures and a lab to show you how to install, manage, and scale your Apigee hybrid API Platform.
Migrating Amazon Redshift Users to BigQuery
Learn how to translate various concepts in Amazon Redshift to analogous concepts in BigQuery, including architecture comparisons, configuring datasets and tables, mapping data types and schemas, and SQL dialect translation.
Migrating Snowflake Users to BigQuery
Learn how to translate various concepts in Snowflake to analogous concepts in BigQuery, including architecture comparisons, configuring datasets and tables, mapping data types and schemas, and SQL dialect translation.
Migrating Teradata Users to BigQuery
Learn how to translate various concepts in Teradata to analogous concepts in BigQuery, including architecture comparisons, configuring datasets and tables, mapping data types and schemas, and SQL dialect translation.
Model Armor: Securing AI Deployments
This course explains how to use Model Armor to protect AI applications, specifically large language models (LLMs). The curriculum covers Model Armor's architecture and its role in mitigating threats like malicious URLs, prompt injection, jailbreaking, sensitive data leaks, and improper output handling. Practical skills include defining floor settings, configuring templates, and enabling various detection types.
Network Security Essentials
This course provides a practical guide to securing networks on Google Cloud. The course covers core network security principles and their application using Google Cloud's managed services. Network security concepts and best practices are explored through practical demonstrations and real-world application scenarios.
Networking in Google Cloud
This training course builds on the networking concepts covered in the Networking Fundamentals in Google Cloud course. Through presentations, demonstrations, and labs, participants explore and deploy Google Cloud networking technologies. These technologies include: Virtual Private Cloud (VPC) networks, subnets, and firewalls; Interconnection among networks; Load balancing; Cloud DNS; Cloud CDN; Cloud NAT. The course will also cover common network design patterns.
Orchestrate BigQuery Workloads with Dataform
Dataform service for data analysts to develop, test, version control, and schedule complex SQL workflows for data transformation in BigQuery, covering core components, table definitions, documentation, security, assertions, and workflow execution.
Preparing for Professional Machine Learning Engineer
Course helps learners create a study plan for the PMLE certification exam, exploring breadth and scope of domains covered in the exam, assessing exam readiness and creating individual study plans.
Productivity with Gemini for Google Workspace Essentials
Gemini for Google Workspace provides customers with generative AI features in Google Workspace. In this course, you learn about the main features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
Security Command Center Enterprise Essentials
This course provides a comprehensive overview of Google Cloud Security Command Center (SCC) Enterprise, a Cloud-Native Application Protection Platform (CNAPP) solution that helps organizations prevent, detect, and respond to threats across Google Cloud services. You will learn about core SCC Enterprise features, including enhanced threat detection, in-depth vulnerability management, and integrated case management.
Security in Google Cloud
This training course gives you a broad study of security controls and techniques in Google Cloud. Through lectures, demonstrations, and labs, you explore and deploy the components of a secure Google Cloud solution. You use services including Cloud Identity, Identity and Access Management (IAM), Cloud Load Balancing, Cloud IDS, Web Security Scanner, BeyondCorp Enterprise, and Cloud DNS.
Serverless Data Processing with Dataflow
This training is intended for big data practitioners who want to further their understanding of Dataflow in order to advance their data processing applications. Beginning with foundations, this training explains how Apache Beam and Dataflow work together to meet your data processing needs without the risk of vendor lock-in. The section on developing pipelines covers how you convert your business logic into data processing applications that can run on Dataflow. This training culminates with a focus on operations, which reviews the most important lessons for operating a data application on Dataflow, including monitoring, troubleshooting, testing, and reliability.
Technical AI Governance Essentials - Foundations
This course provides a comprehensive roadmap for organizations to mature their AI governance capabilities from a hands-on, technical perspective. The course's primary goal is to guide students in establishing, integrating, and orchestrating AI governance platforms, ultimately positioning technical governance as an enabler of speed and innovation.
Technical AI Governance Essentials - Optimization
This course provides a comprehensive roadmap for organizations to mature their AI governance capabilities from a hands-on, technical perspective. The course's primary goal is to guide students in establishing, integrating, and orchestrating AI governance platforms, ultimately positioning technical governance as an enabler of speed and innovation.
Technical Foundations of FinOps on Google Cloud
Dive deep into the technical underpinnings of FinOps and gain the expertise to optimize your cloud spending and drive business value. This comprehensive course is designed for cloud architects, engineers, and technical professionals seeking to master the tools, technologies, and strategies that empower effective cloud financial management.
Understanding Cloud Spanner
In this course, you learn about Cloud Spanner. You will get an introduction to Cloud Spanner and understand how it differs from other database products. You also learn when and how to use Cloud Spanner to solve your relational database needs at scale.
Vertex AI Agent Builder
Vertex AI Agent Builder lets developers, even those with limited machine learning skills, tap into the power of Google's foundation models, search expertise, and conversational AI technologies to create enterprise-grade generative AI applications.
Vertex AI and Generative AI Security
This course is designed to empower your organization to fully harness the transformative potential of Google's Vertex AI and generative AI (gen AI) technologies, with a strong emphasis on security. Tailored for AI practitioners and security engineers, it provides targeted knowledge and hands-on skills to navigate and adopt AI safely and effectively.
Vertex AI for Machine Learning Practitioners
Hands-on course for engineers and data scientists familiar with ML models who want to become proficient in using Vertex AI for custom model workflows. Provides a deep dive into the core functionalities of Vertex AI.
Workflow Orchestration with Cloud Composer
Cloud Composer is a fully managed workflow orchestration service built on Apache Airflow. Composer enables you to create, schedule, monitor, and manage workflow pipelines that span across clouds and on-premises data centers.
Writing Effective Prompts for Generative AI
As generative AI becomes more common, the ability to interact with large language models is shifting from niche knowledge to a necessary skill across many different industries and roles. In this course, you will learn the fundamentals of prompting large language models and exploring further techniques for improving the output from large language models.