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Praveen Kumar

Member since 2024

Diamond League

15250 points
Using DevSecOps in your Google Cloud Environment Earned אוק 13, 2026 EDT
Logging and Monitoring in Google Cloud Earned אוק 12, 2026 EDT
Introduction to Application Design Center Earned אוק 10, 2026 EDT
Observability in Google Cloud Earned אוק 10, 2026 EDT
Google Cloud Fundamentals: Core Infrastructure Earned אוק 9, 2026 EDT
Troubleshooting with AI Using Cloud Assist Investigations Earned אוק 8, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation Earned אוק 7, 2026 EDT
Getting Started with Terraform for Google Cloud Earned אוק 2, 2026 EDT
Google Cloud Architecture: Design Principles Earned ספט 29, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI Earned ספט 27, 2026 EDT
Set Up an App Dev Environment on Google Cloud Earned ספט 19, 2026 EDT
Monitor and Log with Google Cloud Observability Earned ספט 14, 2026 EDT
Implement DevOps Workflows in Google Cloud Earned ספט 12, 2026 EDT
Build Infrastructure with Terraform on Google Cloud Earned ספט 5, 2026 EDT
Monitor Environments with Google Cloud Managed Service for Prometheus Earned ספט 5, 2026 EDT
Create Your First Gemini Enterprise Application Earned אוג 27, 2026 EDT
Enterprise Agents and Use Cases Earned אוג 27, 2026 EDT
Agent Fundamentals Earned אוג 27, 2026 EDT
Connecting Cloud Networks with NCC Earned אוג 23, 2026 EDT
Arcade Simulator: Network Security Engineer Earned אוג 23, 2026 EDT
Privileged Access with IAM Earned אוג 18, 2026 EDT
Developing a Google SRE Culture Earned אוג 12, 2026 EDT
Infrastructure and Application Modernization with Google Cloud - בעברית Earned אוג 4, 2026 EDT
Google Cloud Essentials Earned אוג 3, 2026 EDT
The Basics of Google Cloud Compute Earned אוג 2, 2026 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud Earned יול 28, 2026 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals Earned יול 25, 2026 EDT

In this course, you will learn the basic skills to implement secure and efficient DevSecOps practices on Google Cloud. You'll learn how to secure your development pipeline with Google Cloud services like Artifact Registry, Cloud Build, Cloud Deploy, and Binary Authorization. This enables you to build, test, and deploy containerized applications with security controls throughout the CI/CD pipeline.

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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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Application Design Center accelerates app delivery while maintaining governance and security across Google Cloud. It empowers both platform and development teams to visually design, standardize, and deploy production-ready apps in minutes rather than days. By adopting reusable templates that automatically generate infrastructure as code configurations and integrate with App Hub, teams ship secure-by-design apps faster and gain unified visibility across all app workloads. This course teaches you how to use App Design Center to transition from manual, inconsistent app provisioning to automated, resilient app management.

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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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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

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Gemini Cloud Assist investigations is an AI-enabled tool for iterative troubleshooting in Google Cloud environments, and aims to help users troubleshoot common issues to find the root cause of problems that may occur when using Google Cloud services. This course equips DevOps, SRE, and platform engineers with the skills to effectively use Gemini Cloud Assist investigations for streamlined troubleshooting of Google Cloud services. The training focuses on foundational knowledge of Gemini Cloud Assist investigations, with the intent to reduce troubleshooting time and enhance overall operational efficiency for users of Google Cloud.

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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 Agent Platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.

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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 and managing Google Cloud resources using Terraform.

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In this course, you’ll learn how to apply the Google Cloud Well-Architected Framework to design resilient, production-grade cloud environments. You’ll analyze real-world challenges across six distinct industries to balance competing priorities like low-latency performance, ironclad security, and carbon efficiency. By the end, you'll possess a practical architectural playbook and the critical thinking skills needed to lead reviews and optimize cloud workloads in the field.

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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 Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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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 introductory Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.

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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating and managing Git repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.

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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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Earn a skill badge by completing the Monitor Environments with Google Cloud Managed Service for Prometheus skill badge course, where you learn Kubernetes Monitoring with Google Cloud Managed Service for Prometheus.

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Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and Gemini Notebook for focused analysis. Explore other content in the Gemini Agent Ready (GEAR) program.

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Discover how AI agents drive business impact. You’ll map agent types to your KPIs and explore use cases that solve real bottlenecks. Then, learn how Gemini Enterprise empowers you to build and orchestrate the right agents—from no-code to high-code solutions. Explore other content in the Gemini Agent Ready (GEAR) program.

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This course introduces the fundamentals of AI agents and explores where agents add value in the real world. It provides a foundation for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior. Explore other content in the Gemini Agent Ready (GEAR) program.

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Earn the intermediate Skill Badge by completing the Connecting Cloud Networks with NCC where you will learn how to use the Network Connectivity Center to connect your on-premises, cloud enterprise networks, and hybrid networks, and manage them as spokes through a single, centralized hub on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Welcome to this month's Arcade Simulator where you will step into the shoes of a Network Security Engineer. In this simulation, you'll first lock down access control across your infrastructure—crafting custom IAM roles, scripting permissions, and setting up Identity-Aware Proxy to secure user authentication without traditional VPNs. Then, you'll take control of hybrid enterprise topology, using Network Connectivity Center to link multi-cloud networks, VPCs, and site-to-site HA-VPNs. Complete with two realistic challenge labs, this simulation equips you to eliminate access blind spots, secure cross-cloud traffic, and build a fortress-grade network on Google Cloud.

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Complete the intermediate Privileged Access with IAM skill badge to demonstrate skills in the following: custom roles using Identity and Access Management (IAM), the principle of least privilege, Just-in-Time (JIT) temporary elevated access, and security for web applications using Identity-Aware Proxy (IAP).

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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.

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בארגונים מסורתיים רבים משתמשים במערכות ובאפליקציות מדורות קודמים, וקשה לבצע באמצעותן התאמה לעומס ופעולות מהירות הדרושות כדי לעמוד בציפיות מודרניות של לקוחות. מנהיגים עסקיים וקובעי מדיניות IT צריכים כל הזמן לבחור בין תחזוקה של מערכות מדורות קודמים לבין השקעה במוצרים ובשירותים חדשים. בקורס הזה נבחן את האתגרים הנובעים משימוש בתשתית IT מיושנת, ואיך בעלי עסקים יכולים לבצע מודרניזציה של תשתיות בעזרת טכנולוגיית ענן. הקורס מתחיל בהבנה מעמיקה של אפשרויות המחשוב השונות הזמינות בענן ופירוט היתרונות של כל אחת מהאפשרויות. לאחר מכן נבחן את האפשרויות למודרניזציה של האפליקציות ושל ממשקי API (ממשק תכנות יישומים). בקורס מתוארים גם מגוון פתרונות של Google Cloud שיכולים לשפר את תהליך פיתוח המערכות וניהולן בעסקים שונים, כמו Compute Engine,‏ App Engine ו-Apigee.

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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.

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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.

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