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Tobiloba Adeyemo

Учасник із 2025

Діамантова ліга

Кількість балів: 10654
Looker Services Knowledge Test Earned черв. 11, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK) Earned бер. 14, 2026 EDT
Build Infrastructure with Terraform on Google Cloud Earned лют. 16, 2026 EST
Налаштування мережі Google Cloud Earned лют. 16, 2026 EST
Налаштування середовища для розробки додатка в Google Cloud Earned лют. 16, 2026 EST
Налаштування Cloud Load Balancing для Compute Engine Earned лют. 16, 2026 EST
Logging and Monitoring in Google Cloud Earned лют. 15, 2026 EST
Build a Certification Study Guide: ACE Exam Prep Earned лют. 15, 2026 EST
Getting Started with Google Kubernetes Engine Earned лют. 14, 2026 EST
Elastic Google Cloud Infrastructure: Scaling and Automation Earned лют. 14, 2026 EST
Select a Google Cloud Database for Your Applications Earned лют. 13, 2026 EST
Observability in Google Cloud Earned лют. 12, 2026 EST
Developing Applications with Cloud Run on Google Cloud: Fundamentals Earned лют. 12, 2026 EST
Essential Google Cloud Infrastructure: Core Services Earned лют. 12, 2026 EST
Essential Google Cloud Infrastructure: Foundation Earned лют. 9, 2026 EST
AppSheet Team Hierarchy Earned січ. 28, 2026 EST
Reliable Google Cloud Infrastructure: Design and Process Earned груд. 15, 2025 EST

IMPORTANT NOTE: There are only 2 attempts allowed for the knowledge test. If you don't pass you have to wait 14 days before your second and final attempt. Preparation and study are essential. Looker Services Knowledge Test: This comprehensive test validates advanced proficiency in Looker administration and development. Candidates will demonstrate their ability to: Administer and Maintain Looker Instances: Provision and configure Looker Cloud Core, establish database connections, manage authentication and authorization, analyze performance, and integrate with Google Cloud services. Develop and Optimize LookML Models: Design and implement complex LookML models, create derived tables, optimize performance, utilize Looker Marketplace blocks, manage Git deployments, and troubleshoot LookML and SQL errors. This advanced certification requires existing badge holders to re-validate their skills on the updated LookML content. For learners familiar with Looker: If you're familiar with Looker t…

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Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK). In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces. You’ll also learn the core parameters that define agent behavior, taking what you learned in course 1 and applying it to working code.

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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.

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Щоб отримати кваліфікаційний значок, пройдіть курс Налаштування мережі Google Cloud. У ньому ви дізнаєтеся про різні способи розгортання й моніторингу додатків, зокрема навчитеся визначати ролі керування ідентифікацією і доступом, надавати або вилучати доступ до проектів, створювати мережі VPC, розгортати й відстежувати віртуальні машини Compute Engine, писати запити SQL, а також по-різному вводити додатки в дію за допомогою Kubernetes.

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Щоб отримати кваліфікаційний значок, пройдіть курс Налаштування середовища для розробки додатка в Google Cloud. У ньому ви навчитеся створювати й підключати хмарну інфраструктуру, спрямовану на зберігання даних, за допомогою базових можливостей таких технологій, як Cloud Storage, система керування ідентифікацією і доступом, Cloud Functions та Pub/Sub.

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Пройдіть вступний кваліфікаційний курс Налаштування Cloud Load Balancing для Compute Engine, щоб продемонструвати свої навички: створення й розгортання віртуальних машин у Compute Engine; налаштування мережі й розподілювачів навантаження додатків.

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Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.

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Learn how to use NotebookLM to create a personalized study guide for the Associate Cloud Engineer certification exam. You'll review NotebookLM features, create a notebook in NotebookLM, and learn how to use a study guide to practice for a certification exam.

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Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud. The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.

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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.

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In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud. You explore relational and NoSQL databases, dive into Cloud SQL, AlloyDB, and Spanner, and learn how to align database strengths with your application requirements, including those of generative AI. Gain hands-on experience configuring Vector Search and migrating applications to the cloud.

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Welcome to Observability in Google Cloud, the second part of a two-part course series. It is suggested that you complete part 1, Logging and Monitoring in Google Cloud, prior to taking this course. This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.

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This course introduces the Cloud Run serverless platform for running applications. In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle. You learn about service identities, how to control access to services, and how to develop and test your application locally before deploying it to Cloud Run. The course also teaches you how to integrate with other services on Google Cloud so you can build full-featured applications.

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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.

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A short course on defining and managing teams and organizations in Google AppSheet.

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This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.

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