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Xolani Mtibe

Member since 2025

Gold League

21253 points
Design Foundations for Streaming with Google Cloud Earned Apr 19, 2026 EDT
Preparing for Your Professional Cloud Network Engineer Journey Earned Mar 31, 2026 EDT
AppSheet Team Hierarchy Earned Mar 26, 2026 EDT
Introduction to Looker Earned Mar 20, 2026 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation Earned Mar 17, 2026 EDT
Manage Kubernetes in Google Cloud Earned Mar 16, 2026 EDT
Cloud Architecture: Design, Implement, and Manage Earned Mar 16, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI Earned Mar 15, 2026 EDT
Preparing for your Professional Cloud Architect Journey Earned Mar 9, 2026 EDT
Security Command Center Fundamentals Earned Feb 23, 2026 EST
Introduction Google Security Operations (SOAR) Earned Feb 23, 2026 EST
Google Security Operations - SOAR Developer Earned Feb 19, 2026 EST
Google Security Operations - SOAR Analyst Earned Feb 19, 2026 EST
Getting Started with Security Command Center Enterprise Earned Feb 19, 2026 EST
Introduction to Responsible AI Earned Feb 18, 2026 EST
Introduction to Large Language Models Earned Feb 18, 2026 EST
Introduction to Generative AI Earned Feb 18, 2026 EST
Google Security Operations - Deep Dive Earned Feb 16, 2026 EST
Google Security Operations - Fundamentals Earned Feb 15, 2026 EST
Set Up an App Dev Environment on Google Cloud Earned Dec 18, 2025 EST
Implement Cloud Security Fundamentals on Google Cloud Earned Dec 18, 2025 EST
Optimize Costs for Google Kubernetes Engine Earned Dec 18, 2025 EST

This course shows learners the benefits of using Google Cloud to stream and broadcast content. The course provides a high-level overview of the infrastructure required for streaming and broadcasting.

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This course helps you structure your preparation for the Professional Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.

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

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In this introductory course, you'll learn how Looker can help you explore, analyze, and visualize your data to drive better decisions. Through a combination of video lectures and demos, you'll discover how to connect to various data sources, build interactive dashboards, and perform effective data analysis. Whether you're a data analyst, BI analyst, data scientist or business user, this course will equip you with the foundational knowledge to start using Looker effectively, regardless of your background.

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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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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.

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Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.

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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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This course helps learners create a study plan for the PCA (Professional Cloud Architect) 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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Learn about the fundamental features of Security Command Center on Google Cloud. Spend time in this course to understand assets, detection and compliance. Security Command Center is a key part of your Google Cloud security journey, complete these modules and quiz to earn a completion badge.

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This course introduces the SOAR component of Google SecOps, guiding learners through setup, response automation, and reporting. With demos, hands-on examples, and quizzes, participants will learn how to simplify investigations and make day-to-day security operations more efficient. The course is designed around short videos, averaging about five minutes each, divided into granular topics to support different learning styles and fit into the time learners have available.

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

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

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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. Fundamental concepts in threat management and vulnerability assessment will also be covered, along with practical demonstrations of how to use SCC Enterprise to identify, investigate, and remediate security risks within your multi-cloud environment.

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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.

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This is an introductory level 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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Take the next steps in working with the Chronicle Security Operations Platform. Build on fundamental knowledge to go deeper on cusotmization and tuning.

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This course covers the baseline skills needed for the Google 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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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.

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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.

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Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge course to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness.

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