Tallulah Jones
Member since 2023
Develop Gen AI Apps with Gemini and Streamlit
Earned Haz 8, 2026 EDT
Create Generative AI Apps on Google Cloud
Earned Haz 8, 2026 EDT
Build a Smart Cloud Application with Vibe Coding and MCP
Earned Haz 5, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned May 26, 2026 EDT
Üretken Yapay Zeka İçin Makine Öğrenimi Operasyonları (MLOps)
Earned May 26, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned May 19, 2026 EDT
Agent Platform'da İstem Tasarımı
Earned May 19, 2026 EDT
Deutsche Bank: Prompt Engineering Fundamentals
Earned Kas 1, 2024 EDT
Build Infrastructure with Terraform on Google Cloud
Earned Haz 8, 2023 EDT
Compute Engine İçin Cloud Load Balancing'i Uygulama
Earned May 9, 2023 EDT
Google Cloud Ağınızı Geliştirme
Earned Nis 27, 2023 EDT
Using the Cloud SDK Command Line
Earned Nis 26, 2023 EDT
Implement Cloud Security Fundamentals on Google Cloud
Earned Nis 6, 2023 EDT
Deploy Kubernetes Applications on Google Cloud
Earned Nis 6, 2023 EDT
Güvenli Bir Google Cloud Ağı Oluşturma
Earned Mar 30, 2023 EDT
Essential Google Cloud Infrastructure: Foundation
Earned Mar 21, 2023 EDT
Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma
Earned Mar 15, 2023 EDT
Google Cloud'un Temel Özellikleri
Earned Mar 13, 2023 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned Mar 10, 2023 EST
Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Generative AI applications can create new user experiences that were nearly impossible before the invention of large language models (LLMs). As an application developer, how can you use generative AI to build engaging, powerful apps on Google Cloud?
In this course, you'll learn about generative AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs. You'll learn about a production-ready architecture that can be used for generative AI applications and you'll build an LLM and RAG-based chat application. Explore other content in the Gemini Agent Ready (GEAR) program.
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Earn a skill badge by completing the Build a Smart Cloud Application with Vibe Coding and MCP course, where you will learn to leverage the power of Google's AI coding assistant and MCP servers. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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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Bu kurs, MLOps ekiplerinin üretken yapay zeka modellerini dağıtırken ve yönetirken karşılaştığı zorlukların üstesinden gelmek için gereken bilgi ve araçları sağlamaktadır. Ayrıca yapay zeka ekiplerinin, MLOps süreçlerini kolaylaştırıp üretken yapay zeka projelerinde başarıya ulaşması için Vertex AI'ın nasıl yardımcı olduğunu öğrenmenizi amaçlamaktadır.
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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.
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Agent Platform'da istem mühendisliği, görüntü analizi ve çok modlu üretken teknikler gibi becerileri göstermek için Agent Platform'da İstem Tasarımı beceri rozetini tamamlayın. Etkili istemlerin nasıl oluşturulacağını, üretken yapay zeka çıktılarına nasıl rehberlik edileceğini ve Gemini modellerinin gerçek dünyadaki pazarlama senaryolarına nasıl uygulanacağını keşfedin.
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Master your Gen AI skills through hands-on labs!
Embark on a dynamic learning experience with Prompt Engineering Fundamentals, where you'll learn the art of designing effective prompts that harness the full power of Generative AI. Dive into the essentials of crafting clear and compelling prompts while exploring advanced techniques such as few-shot and Free-form prompting. Through hands-on labs, you'll apply your newfound skills to creatively analyze images, design prompts, and generate conversations directly on the Google Cloud console.
Upon completion, you'll earn a digital badge showcasing your newly acquired skills, perfect for highlighting on your LinkedIn profile and email signature. Remember to click "End" after finishing each lab to claim your well-deserved points.
This course is OPTIONAL, nevertheless HIGHLY recommended.
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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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Giriş düzeyindeki Compute Engine İçin Cloud Load Balancing'i Uygulama beceri rozetini tamamlayarak şu konulardaki becerilerinizi gösterin: Compute Engine'de sanal makineler oluşturma ve dağıtma. Ağ ve uygulama yük dengeleyicileri yapılandırma.
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Google Cloud Ağınızı Geliştirme kursunu tamamlayarak bir beceri rozeti kazanın. IAM rollerini keşfetme ve proje erişimi ekleme/kaldırma, VPC ağları oluşturma, Compute Engine sanal makinelerini dağıtma ve izleme, SQL sorguları yazma ve çeşitli dağıtım yaklaşımlarıyla Kubernetes'i kullanarak uygulama dağıtma gibi uygulamaları dağıtıp izlemeyle ilgili birden çok yöntemi öğreneceksiniz.
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For everyone using Google Cloud Platform for the first time, getting familar with gcloud, Google Cloud's command line, will help you get up to speed faster. In this quest, you'll learn how to install and configure Cloud SDK, then use gcloud to perform some basic operations like creating VMs, networks, using BigQuery, and using gsutil to perform operations.
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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 Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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Güvenli Bir Google Cloud Ağı Oluşturma kursunu tamamlayarak beceri rozeti kazanın. Bu kursta, Google Cloud'da uygulamalarınızı derlemek, ölçeklendirmek ve korumak için ağla ilgili birden fazla kaynak hakkında bilgi edineceksiniz.
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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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Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma kursunu tamamlayarak beceri rozeti kazanın. Bu kursta Cloud Storage, Identity and Access Management, Cloud Functions ve Pub/Sub gibi teknolojilerin temel özelliklerini kullanarak depolama odaklı bulut altyapısı oluşturma ve bu altyapıyla bağlantı kurmayı öğreneceksiniz.
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Bu giriş düzeyindeki kursta, Google Cloud'un temel araçları ve hizmetleri hakkında uygulamalı alıştırmalar yapacaksınız. Laboratuvarlarda işlenen kavramlara ilişkin daha fazla bağlam bilgisi ve inceleme sunmak amacıyla isteğe bağlı videolar paylaşılmaktadır. Google Cloud'un Temel Özellikleri, Google Cloud'u kullanmayı öğrenenler için önerilen ilk kurslardandır. Bulut teknolojisi konusunda çok az bilginiz olsa ya da hiç bilginiz olmasa bile bu kursa katılabilir ve ilk Google Cloud projenizde uygulayabileceğiniz pratik deneyimler kazanabilirsiniz. Cloud Shell komutları yazmak ve ilk sanal makinenizi dağıtmaktan Kubernetes Engine üzerinde veya yük dengelemeyi kullanarak uygulama çalıştırmaya kadar birçok konuyu kapsayan Google Cloud'un Temel Özellikleri, platformun temel özelliklerine dair mükemmel bir giriş niteliğindedir.
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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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