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Ihre Kompetenzen in der Google Cloud Console anwenden

Oyebola Flora Olawuyi

Mitglied seit 2024

Gold League

4001 Punkte
GCC Technical Specialty Learning Packs - AI/ML Foundations Earned Nov 18, 2025 EST
Scaling with Google Cloud Operations Earned Nov 13, 2025 EST
Trust and Security with Google Cloud Earned Nov 13, 2025 EST
Modernize Infrastructure and Applications with Google Cloud Earned Nov 13, 2025 EST
Digital Transformation with Google Cloud Earned Nov 13, 2025 EST
Networking Basics for AI Earned Okt 30, 2025 EDT
CE Virtual AI Infra Bootcamp On-demand Earned Okt 2, 2025 EDT
Machine Learning Operations (MLOps) für generative KI Earned Okt 2, 2025 EDT
Innovating with Google Cloud Artificial Intelligence Earned Okt 2, 2025 EDT
AI Boost Bites: Project Notebooks Earned Okt 2, 2025 EDT
Exploring Data Transformation with Google Cloud Earned Okt 2, 2025 EDT

This course is intended for technical sales and AI practitioners willing to get a better understanding of AI/ML foundations. You can find all of our technical learning packs on go/techlearningpacks and industry learning packs on go/industrylearningpacks. Brought to you by the CLS Tech Specialization Team (gcc-enablement-tech@). Share your request/feedback on go/learningpacks-feedback!

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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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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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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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Summary This hands-on enablement training empowers participants to effectively leverage Google's cutting-edge AI tools, specifically Vertex AI and Cloud Armor for Networking basics, through practical exercises and real-world scenarios. Participants will gain proficiency in building, deploying, and securing machine learning models using Google APIs with emphasis in Networking use cases. Learning Objectives: Vertex AI Proficiency: Learn to utilize Vertex AI's managed services for model training, deployment, and monitoring. Gain hands-on experience with Vertex AI's pre-built models and custom training capabilities. Practice deploying models to Vertex AI Endpoints for online and batch predictions. Google API Integration: Explore and integrate various Google APIs relevant to AI workflows (e.g., Cloud Run, BigQuery). Learn to authenticate and authorize API requests within Vertex AI environments. Understand how to use client libraries to interact with Google APIs. Practical Application a…

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This course provides an overview of Google's AI infrastructure offerings, distinguishing between Google-managed (Vertex AI, Cloud Run) and self-managed (GKE, GCE) solutions. It discusses various GPU/TPU consumption models like DWS, Spot, and Reservations, and highlights key differentiators of GKE for AI workloads, including Cluster Director, AI Inference Gateway, and Custom Compute Classes. It also touches upon identifying customer personas and use cases for each product.   Learning Objectives Articulate the fundamental technical concepts underpinning modern cloud infrastructure and AI workloads. Differentiate between various cloud runtimes beyond Kubernetes, and explain their respective strengths and use cases. Identify and describe the capabilities of Google Compute Engine (GCE) resources, specifically TPUs and GPUs, for accelerating computational tasks. Design and propose practical AI infrastructure solutions, including inference workloads, supported by relevant use cases and imple…

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Dieser Kurs vermittelt Ihnen das Wissen und die nötigen Tools, um die speziellen Herausforderungen zu erkennen, mit denen MLOps-Teams bei der Bereitstellung und Verwaltung von Modellen basierend auf generativer KI konfrontiert sind. Sie erfahren, wie KI-Teams durch Vertex AI dabei unterstützt werden, MLOps-Prozesse zu optimieren und mit Projekten erfolgreich zu sein, in denen generative KI zum Einsatz kommt.

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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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This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.

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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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