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Jared Parr

Member since 2024

Diamond League

141675 points
Extends to Keep LookML DRY Earned فبراير 10, 2025 EST
Migrating VMware to Google Cloud VMware Engine Earned فبراير 2, 2025 EST
Serverless Data Processing with Dataflow: Develop Pipelines Earned فبراير 1, 2025 EST
Webhook fundamentals Earned فبراير 1, 2025 EST
Conversation Design Fundamentals Earned فبراير 1, 2025 EST
Advanced Performance Measurement Earned فبراير 1, 2025 EST
Workspace Transformation Earned فبراير 1, 2025 EST
Analytics for SAP on Google Cloud Earned يناير 23, 2025 EST
Gemini in Google Drive Earned يناير 15, 2025 EST
Gemini in Google Meet Earned يناير 15, 2025 EST
Gemini in Google Slides Earned يناير 15, 2025 EST
Create Engaging Video with Google Vids Earned يناير 15, 2025 EST
Snowflake to BigQuery Migration Earned ديسمبر 31, 2024 EST
Inside Track: DORA Earned ديسمبر 31, 2024 EST
Managing Change for Google Workspace Earned ديسمبر 31, 2024 EST
DFCX Virtual Agent Delivery Framework Earned ديسمبر 30, 2024 EST
Intro to Conversational AI and Conversational AI Engagement Framework Earned ديسمبر 30, 2024 EST
Gemini in Google Docs Earned ديسمبر 30, 2024 EST
Partner Pre-Sales Readiness Training Earned ديسمبر 30, 2024 EST
Security Practices with Google Security Operations - SIEM Earned ديسمبر 29, 2024 EST
Google Security Operations - Fundamentals Earned ديسمبر 29, 2024 EST
DEPRECATED Google Threat Intelligence Earned ديسمبر 29, 2024 EST
Quiz: GDC Air-Gapped Security Operator Fundamentals Earned ديسمبر 23, 2024 EST
SecOps on GDC for Tier 1 and Tier 2 Analysts Earned ديسمبر 23, 2024 EST
Introduction to Security in the World of AI Earned ديسمبر 22, 2024 EST
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation Earned ديسمبر 22, 2024 EST
Delivery Navigator for Partners Earned ديسمبر 19, 2024 EST
Data Warehousing for Partners: Enable Google Cloud Customers Earned ديسمبر 19, 2024 EST
Elastic Cloud Infrastructure: Scaling and Automation Earned ديسمبر 14, 2024 EST
Accelerate Your Creativity with Text-to-Image using Imagen Earned ديسمبر 13, 2024 EST
SecOps on GDC for Tier 3 Analysts Earned ديسمبر 13, 2024 EST
Google Cloud: Prompt Engineering Guide Earned ديسمبر 13, 2024 EST
SOAR Fundamentals Earned ديسمبر 12, 2024 EST
Cloud Foundations: Customer Onboarding Best Practices Earned ديسمبر 11, 2024 EST
Scaling with Google Cloud Operations Earned نوفمبر 30, 2024 EST
Trust and Security with Google Cloud Earned نوفمبر 30, 2024 EST
Rapid Migration & Modernization Program Earned نوفمبر 30, 2024 EST
Modernize Infrastructure and Applications with Google Cloud Earned نوفمبر 29, 2024 EST
Migrating Backing Up and Disaster Recovery in Google Cloud VMware Engine Earned نوفمبر 9, 2024 EST
Serverless Data Processing with Dataflow: Operations Earned نوفمبر 9, 2024 EST
Serverless Data Processing with Dataflow: Foundations Earned نوفمبر 8, 2024 EST
Implementing Generative AI with Vertex AI Earned نوفمبر 1, 2024 EDT
Generative AI for Business Leaders Earned نوفمبر 1, 2024 EDT
Google Security Operations - SOAR Analyst Earned أكتوبر 26, 2024 EDT
Teradata to BigQuery Earned أكتوبر 25, 2024 EDT
Preparing for your Professional Data Engineer Journey Earned أكتوبر 25, 2024 EDT
Modernizing Mainframe Applications with Google Cloud Earned أكتوبر 23, 2024 EDT
PostgreSQL to Cloud SQL Earned أكتوبر 23, 2024 EDT
VM Migration for Partners Earned أكتوبر 23, 2024 EDT
Cloudera to Google Cloud Earned أكتوبر 23, 2024 EDT
Microsoft SQL Server to Cloud SQL Earned أكتوبر 23, 2024 EDT
MySQL to Cloud Spanner Earned أكتوبر 23, 2024 EDT
MySQL to Cloud SQL Earned أكتوبر 23, 2024 EDT
PostgreSQL to AlloyDB Earned أكتوبر 23, 2024 EDT
Redshift to BigQuery Earned أكتوبر 23, 2024 EDT
BigQuery Migration Service Earned أكتوبر 23, 2024 EDT
Migrate to Containers using the Migration Assessment Tool Earned أكتوبر 23, 2024 EDT
BI Reporting: Looker Visualization on BigQuery Earned أكتوبر 23, 2024 EDT
Migrating Hadoop Workloads Earned أكتوبر 23, 2024 EDT
AWS EC2 to Compute Engine Earned أكتوبر 23, 2024 EDT
On-Premises VMware to Compute Engine Earned أكتوبر 23, 2024 EDT
Generative AI Fundamentals Earned أكتوبر 23, 2024 EDT
Selling the Platform & Building Client Trust Earned أكتوبر 23, 2024 EDT
Unlocking the Power of Google Cloud Generative AI for Partners Earned أكتوبر 23, 2024 EDT
Gemini for end-to-end SDLC Earned أكتوبر 23, 2024 EDT
Technology + Beyond the UI Earned أكتوبر 15, 2024 EDT
Innovating with Google Cloud Artificial Intelligence Earned أكتوبر 15, 2024 EDT
Mandiant Fundamentals Earned أكتوبر 15, 2024 EDT
Chronicle SIEM Fundamentals Earned أكتوبر 15, 2024 EDT
Google Cloud Generative AI Trailblazer Earned أكتوبر 14, 2024 EDT
Customer Engagement Suite with Google AI Architecture Earned أكتوبر 14, 2024 EDT
Google Security Operations - SOAR Developer Earned أكتوبر 14, 2024 EDT
Digital Transformation with Google Cloud Earned أكتوبر 11, 2024 EDT
Create Image Captioning Models Earned أكتوبر 10, 2024 EDT
Encoder-Decoder Architecture Earned أكتوبر 10, 2024 EDT
Attention Mechanism Earned أكتوبر 10, 2024 EDT
Introduction to Image Generation Earned أكتوبر 10, 2024 EDT
Transformer Models and BERT Model Earned أكتوبر 10, 2024 EDT
Exploring Data Transformation with Google Cloud Earned أكتوبر 9, 2024 EDT
Modernization of Applications using Openshift on Google Cloud Earned أكتوبر 9, 2024 EDT
Migrating Pivotal Cloud Foundry (PCF) to Google Cloud Earned أكتوبر 9, 2024 EDT
Azure Virtual Machines to Compute Engine Earned أكتوبر 9, 2024 EDT
Migrating Oracle Workloads to Google Cloud Earned أكتوبر 9, 2024 EDT
Networking in Google Cloud VMware Engine Earned أكتوبر 9, 2024 EDT
Google Backup and Disaster Recovery Earned أكتوبر 9, 2024 EDT
.NET Modernization Earned أكتوبر 9, 2024 EDT
Google API products: A key to modern application development Earned أكتوبر 9, 2024 EDT
Modernization of Java Applications for Google Cloud Earned أكتوبر 9, 2024 EDT
Document AI: Building a Custom Document Extractor Earned أكتوبر 9, 2024 EDT
Getting Started with Google Cloud VMware Engine Earned أكتوبر 9, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI Earned أكتوبر 9, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud Earned سبتمبر 22, 2024 EDT
Gemini for Security Engineers Earned أغسطس 31, 2024 EDT
Gemini in Google Sheets Earned أغسطس 31, 2024 EDT
Gemini in Gmail Earned أغسطس 31, 2024 EDT
Introduction to Gemini for Google Workspace Earned أغسطس 31, 2024 EDT
Introduction to Responsible AI Earned أغسطس 23, 2024 EDT
Gemini for Cloud Architects Earned أغسطس 23, 2024 EDT
Introduction to Large Language Models Earned أغسطس 23, 2024 EDT
Introduction to Generative AI Earned أغسطس 23, 2024 EDT

Hands on course covering the main uses of extends and the three primary LookML objects extends are used on as well as some advanced usage of extends.

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This course educates partners on key concepts around deploying Google Cloud VMware Engine (GCVE) and leveraging HCX to migrate VMs from on-premises VMware to GCVE.

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In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs. We move onto reviewing best practices that help maximize your pipeline performance. Towards the end of the course, we introduce SQL and Dataframes to represent your business logic in Beam and how to iteratively develop pipelines using Beam notebooks.

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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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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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In this course, you will learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents. 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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This course on workspace transformation guides participants through modules designed to optimize and transform business environments using Google Workspace. It covers the Google Workspace Customer Success Methodology, provisioning processes, authentication and system access, mail routing, migration strategies, and coexistence planning to ensure a seamless transition and effective implementation.

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This course focuses on how you can leverage the Google Cloud Analytics and AI/ML offerings to integrate and innovate with SAP

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Gemini for Google Workspace provides users with access to generative AI features. This course delves into the capabilities of Gemini in Google Drive using video lessons, hands-on activities and practical examples. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Drive to improve your workflows.

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Gemini for Google Workspace provides customers with access to generative AI features. This course delves into the capabilities of Gemini in Google Meet. Through video lessons, hands-on activities and practical examples, you will gain a comprehensive understanding of the Gemini features in Google Meet. You learn how to use Gemini to generate background images, improve your video quality, and translate captions. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Meet to maximize the effectiveness of your video conferences.

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Gemini for Google Workspace provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Slides.

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In this course, you'll learn about Google Vids, an online video creation and editing app available to select Google Workspace users. Through lessons and demos, you'll learn how to build and tell compelling stories through video at work. You'll also discover how to seamlessly incorporate media, audio and video clips, customize styles, and easily share your creations. Some Vids features use generative AI to help you work more efficiently. Remember, generative AI tools including Gemini, may suggest inaccurate or inappropriate information. Don’t rely on Gemini features as medical, legal, financial or other professional advice. It’s also important to remember that the Gemini feature suggestions don’t represent Google’s views, and should not be attributed to Google.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from Snowflake to BigQuery. Sample data will be used during the migration. Learners will complete several labs that focus on the process of transferring schema, data and related processes to corresponding Google Cloud products.There will be one or more challenge labs that will test the learners' understanding of the topics. "This learning path aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from Snowflake to BigQuery.

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DORA (DevOps Research & Assessment) is a research program, an assessment tool, a report publisher, and more. Together, these products create a compelling customer story that defines the industry standard for successful DevOps and technology transformation, and provides personalized steps to accelerate the customer journey. DORA enables Googlers and Partners to bring DevOps research and practices to Google Cloud Customers. This course provides an introduction to DORA and a guide on how to successfully complete a DORA assessment for your customer. Engaging customers in DORA assessment provides invaluable insights into the customer’s organization, and helps you better support your customer. The DORA training was originally designed for and only made available to Google Teams, however we’ve recognized how beneficial it would be for our Partners and are now offering our Partners exclusive access to the DORA training and products, so they can benefit from DORA’s research and practices …

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This course is for deployment personnel of Google Cloud and its partner organizations who are tasked with managing cultural change and skill gaps of customers adopting Google Workspace, engaging sponsors and enlisting the support of customer stakeholders, communicating the anticipated changes to the customer and their users. It will guide you through the Workspace change management methodology and all phases of the customer journey.

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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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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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Gemini for Google Workspace provides customers with access to generative AI features. This course delves into the capabilities of Gemini in Google Docs using video lessons, hands-on activities and practical examples. You learn how to use Gemini to generate written content based on prompts. You also explore using Gemini to edit text you’ve already written, helping you improve your overall productivity. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Docs to improve your writing.

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Want to learn more about Google Cloud? Grow your Google Cloud knowledge, strengthen your skills to win with customers, and scale your Google Cloud business. Find it here in one handy location.

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Learn the technical aspects you need to know about Chronicle and how it can help you detect and action threats.

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This course covers the basline skills needed for the Chronicle Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.

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Google Threat Intelligence provides unmatched visibility into threats by delivering detailed and timely threat intelligence to security teams around the world. This course covers the various capabilities of Google Threat Intelligence and common ways that organizations use this product to proactively mitigate threats.

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This quiz tests your GDC Air-Gapped Security Operator Fundamental knowledge.

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This course gives you a deep dive into the workflows of Tier 1 and Tier 2 security analysts.

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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.

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This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production. Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.

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This training aims to up-skill Google Cloud partners to deliver customer engagements through Delivery Navigator for available technical practice offerings. Learners will be able to navigate around the Delivery Navigator platform, select the desired method(s), and export the project WBS to a desired work management tool and Shared Google Drive. Sample artefacts are available through the Delivery Navigator methods and will be provided for reference. Contents of this course will be updated as new features are released for the Delivery Navigator platform.

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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.

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This course has been updated, please enroll in the new Elastic Google Cloud Infrastructure: Scaling and Automation.

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Imagen provides a suite of generative AI tools to help you accelerate your creative workflows. This course provides you with demonstrations of all the key features currently found in Imagen.

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This course gives you a deep dive into the workflows of Tier 3 analysts.

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Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.

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This course will familiarize you with the core functionality of Chronicle, including the user interface, connections, and settings.

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The Cloud Foundations Customer Onboarding: Best Practices course enables partners to onboard customers on Google Cloud efficiently and in minimum time, by imparting knowledge, IP, and best practices from the Technical Onboarding Center (TOC) team at Global Delivery Center (GDC). The course explores Cloud Identity and organization, users and groups, administrative access, and resource hierarchy. It also examines network configuration, hybrid connectivity, logging and monitoring, and organizational security.

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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The Google Cloud Rapid Migration & Modernization Program (RaMP) is a holistic, end-to-end migration/modernization program that helps customers & partners leverage expertise and best practices, lower risk, control costs, and simplify a customer's path to cloud success. This course will give an overview of the program and some of the tools and best practices available to support customer migrations & modernizations.

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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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This workload aims to upskill Google Cloud partners to explore various VM migration types and their implications, including Backup and DR services, GCVE-Protected, and other backup, restore, and disaster recovery options available. They will explore when Backup and Restore can be used for VM migration. They will also identify common Disaster Recovery options and explore the use cases, capabilities, license levels, and components of VMware HCX. Additionally, learners will demonstrate installing, upgrading, and configuring VMware HCX and using HCX for live or bulk VM migrations.

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In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.

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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.

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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.

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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.

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This course helps you understand how to use Chronicle to properly handle security incidents.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of Migration from Teradata to BigQuery using the Data Transfer Service and the Teradata TPT Export Utility. Sample Data will be used during both methods. Learners will complete a challenge lab that focuses on the process of transferring both schema, data and SQL from a Teradata data warehouse to BigQuery.

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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

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This course enables system integrators and partners to understand the principles of automated migrations, plan legacy system migrations to Google Cloud leveraging G4 Platform, and execute a trial code conversion.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from PostgreSQL to CloudSQL using the Database Migration Service.

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This course provides comprehensive skills on VM migration, from the initial assessment through the final implementation through presentations, demonstrations, and whiteboard session.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from five products hosted on Cloudera or Hortonworks to corresponding Google Cloud services and hosted products. The migration solutions addressed will be: HDFS data to Google Cloud Dataproc and Cloud Storage Hive data to Cloud Dataproc and the Cloud Dataproc Metastore Hive data to Google Cloud BigQuery Impala data to Google Cloud BigQuery HBase to Google Cloud Bigtable Sample data will be used during all five migrations. Learners will complete several labs that focus on the process of transferring schema, data and related processes to corresponding Google Cloud products.There will be one or more challenge labs that will test the learners understanding of the topics.

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This course aims to upskill Google Cloud partners to perform specific tasks of migrating data from Microsoft SQL Server to CloudSQL using the built-in replication capabilities of SQL Server. Sample data will be used during the migration. Learners will complete several labs that focus on the process of transferring schema, data, and related processes to corresponding Google Cloud products. One or more challenge labs will test the learner's understanding of the topics.

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Migration from MySQL to Cloud Spanner using Dataflow that includes sample mock data and all necessary steps with initial assessment to validation including taking care of migrating users and grants.

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Migration from MySQL to Cloud SQL using Database Migration Service that includes sample mock data and all necessary steps with initial assessment to validation including taking care of migrating users and grants.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from PostgreSQL to AlloyDB using the Database Migration Service. Sample data will be used during the migration. Learners will complete several labs that focus on the process of transferring schema, data and related processes to corresponding Google Cloud products.There will be one or more challenge labs that will test the learners understanding of the topics.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks for migrating data from AWS Redshift to BigQuery using BigQuery Data Transfer Service, which includes sample mock data. Learners will complete a challenge lab that focuses on the process of transferring both schema and data from a Redshift data warehouse to BigQuery.

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In this course, you explore the four components that make up the BigQuery Migration Service. They are Migration Assessment, SQL Translation, Data Transfer Service, and Data Validation. You will use each of these tools to perform a migration using to BigQuery.

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This course educates partners on key concepts of Google’s Migrate to Containers. It will cover planning, workload fitness for conversion, deployment with a processing cluster, and the migration process.

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This workload aims to upskill Google Cloud partners to perform specific tasks for modernization using LookML on BigQuery. A proof-of-concept will take learners through the process of creating LookML visualizations on BigQuery. During this course, learners will be guided specifically on how to write Looker modeling language, also known as LookML and create semantic data models, and learn how LookML constructs SQL queries against BigQuery. At a high level, this course will focus on basic LookML to create and access BigQuery objects, and optimize BigQuery objects with LookML.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating workloads from Hadoop environments to corresponding Google Cloud services and hosted products. The following will addressed will be: The Hadoop ecosystem and products Hadoop architecture and post migration architectures to Google Cloud Assessment Data transfer options Workload migrations, namely: Spark to Dataproc Serverless, Apache Oozie to Composer (Airflow), and Hive to BigQuery Security and governance Logging and Monitoring

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Migration from AWS EC2 to Google Cloud Compute Engine using Migrate to Virtual Machines (v5) using demo VM(s). It provides a proof-of-concept that walks you through the process of replicating a VM to doing test cutover and final cutover of the VM.

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Migration from on-premises VMware to Google Cloud Compute Engine using Migrate to Virtual Machines (v5) using demo VM(s). It provides a proof-of-concept that walks you through the process of replicating a VM to doing test cutover and final cutover of the VM.

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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI. A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.

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This course is for Partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities, learn to identify high-impact use cases, and develop the skills to demonstrate and integrate these technologies seamlessly into client solutions and operations.

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This course is for Partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC). Duet AI was renamed to Gemini, our next-generation model.

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In this course you will discover additional tools for your toolbox for working with complex deployments, building robust solutions, and delivering even more value.

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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Learn which Mandiant products directly enhance or augment capabilities provided by Chronicle SIEM and SOAR and how those products integrate into our workflow.

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This course will provide you with an overview of SIEM technology to set the stage for the differentiation and expansion of capabilities that Chronicle SIEM provides.

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This course is for Google Cloud’s top partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases. Those who complete the training and assessment will receive the Google Cloud Generative AI Trailblazer badge through Skills Boost.

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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 course helps developers customize Chronicle and augment its abilities with third party integrations.

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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images

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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.

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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 course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.

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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.

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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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This course focuses on modernizing applications using OpenShift on Google Cloud. Throughout this course, you'll gain the skills necessary to describe and understand OpenShift and successfully re-platform it to Google Cloud.

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Welcome to the course focusing on the Migration from Pivotal Cloud Foundry to Google Cloud. This program offers a practical demonstration that guides you through the step-by-step process of transitioning applications seamlessly between these two platforms. Throughout this course, you'll engage in hands-on exercises and demos, providing a proof-of-concept journey. This course provides insights into Pivotal Cloud Foundry and Tanzu Kubernetes Grid (TKG), and their roles in cloud infrastructure. It includes hands-on sessions for installing Tanzu CLI. You'll also learn to deploy management clusters efficiently, organize cloud resources, and create workload clusters. Additionally, you will perform a workload migration from Tanzu Kubernetes Grid to Google Kubernetes Engine (GKE) and containerize an applications on Google Cloud.

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Migration from Azure to Google Cloud Compute Engine using Migrate to Virtual Machines (v5) using demo VM(s). It provides a proof-of-concept that walks you through the process of replicating a VM to doing test cutover and final cutover of the VM.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of rehosting Oracle Workloads on Google Cloud.

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This workload aims to upskill Google Cloud partners regarding various network configuration tasks related to VMware Engine and its integration with Google Cloud VPC, on-premises connectivity, DNS setup, service subnets, internet access, and overall network interoperability.

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This workload aims to upskill Google Cloud partners to deploy and manage Google Backup and Disaster Recovery (BDR). The following will be addressed: the core components and business value of Google BDR, the prerequisites before installing Google BDR, the initial deployment of Google BDR, creating and configuring components of a Backup Plan, the components of a Backup Plan, discovering VMware and Compute Engine VMs, and protecting, backing up, and restoring VMs.

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This learning path aims to upskill Google Cloud partners to perform the specific tasks associated with the priority workload. Learners will discover the specific tasks in rehosting applications from on-premises to Google Cloud. It also aims to re-platform applications to run in GKE. Learners will perform the tasks of Migrating MySQL, Angular, and .NET applications from their on-premises machines to Google Cloud VM instances. Sample code will be used during the migration. Learners will complete a challenge lab that focuses on the critical steps in a rehosting exercise - copying over code for the back-end, front-end, and middle-tier applications and validating that the applications have been migrated correctly. Learners will also complete a challenge lab that focuses on the critical steps in a re-platforming exercise - creating back-end, front-end, and middle-tier Docker images, deploying the same in the GKE cluster, and validating that the application has been deployed correctly.

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Outline the key steps in publishing an API to deliver selective company information to applications created by external developers.

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This course aims to upskill Google Cloud partners to perform specific tasks in rehosting applications from on-premise to Google Cloud. It also aims to re-platform applications to run in GKE. Learners will perform the tasks of Migrating MySQL, Angular, and Java applications from their on-premise machines to Google Cloud VM instances. Sample code will be used during the migration.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with building a Custom Doc Extractor using the Google Cloud AI solution. The following will be addressed: Service: Document AI Task: Extract fields Processors: Custom Document Extractor and Document Splitter Prediction: Using Endpoint to programmatically extract fields

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This workload aims to upskill Google Cloud Partners about what Google Cloud VMware Engine is, design considerations, and basic implementation. It will also cover interoperability with on-premises vSphere and real world use cases for deployment. Finally, it will cover how VMware Engine compares to other cloud providers' offerings of VMware as a Service and future plans for VMware Engine.

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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture. Duet AI was renamed to Gemini, our next-generation model.

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Gemini for Google Workspace provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Sheets.

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Gemini for Google Workspace provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Gmail.

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Gemini for Google Workspace provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

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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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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow. Duet AI was renamed to Gemini, our next-generation model.

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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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