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Oyebola Flora Olawuyi
Member since 2024
Gold League
4001 points
GCC Technical Specialty Learning Packs - AI/ML Foundations
Earned Nov 18, 2025 EST
使用 Google Cloud 作業套件調度資源
Earned Nov 13, 2025 EST
Google Cloud 的可靠性與安全性
Earned Nov 13, 2025 EST
運用 Google Cloud 翻新基礎架構和應用程式
Earned Nov 13, 2025 EST
透過 Google Cloud 進行數位轉型
Earned Nov 13, 2025 EST
Networking Basics for AI
Earned Oct 30, 2025 EDT
CE Virtual AI Infra Bootcamp On-demand
Earned Oct 2, 2025 EDT
生成式 AI 適用的機器學習運作 (MLOps)
Earned Oct 2, 2025 EDT
運用 Google Cloud 人工智慧推動創新
Earned Oct 2, 2025 EDT
[DEPRECATED] AI Boost Bites: Project Notebooks
Earned Oct 2, 2025 EDT
運用 Google Cloud 探索資料轉換功能
Earned Oct 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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各種規模的機構都開始運用雲端的強大功能和靈活性，徹底改變營運方式。不過，有效管理及擴充雲端資源可能是相當複雜的工作。本課程將探討在雲端中的現代營運、可靠性和韌性的基礎概念，以及 Google Cloud 如何協助您達成這些目標。本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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組織將資料和應用程式遷移至雲端後，必須因應快速變化的安全性挑戰。本課程將探討雲端安全性的基礎知識、Google Cloud 融入安全考量設計的基礎架構價值，以及縱深防禦策略。此外，還會著重說明如何透過 AI 輔助作業和法規遵循工具，協助組織滿足嚴格的全球法規要求。
本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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許多傳統企業使用舊版系統和應用程式，無法滿足現今客戶的期望。企業主管經常需要在維護老舊的 IT 系統，以及投資新產品/服務之間做出選擇。本課程將探討這些挑戰，並提供解決方案，說明如何運用雲端技術克服難題。
本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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數位轉型是現代組織必經的關鍵旅程，而建立穩固的雲端運算基礎，是跨出有意義創新的第一步。本課程「透過 Google Cloud 進行數位轉型」，將會介紹核心技術和策略框架，協助組織革新營運方式，並探討基本的雲端概念、全球網路基礎架構和共同責任模式，幫助主管在雲端之路上自信前行。本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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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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本課程旨在提供必要的知識和工具，協助您探索機器學習運作團隊在部署及管理生成式 AI 模型時面臨的獨特挑戰，並瞭解 Vertex AI 如何幫 AI 團隊簡化機器學習運作程序，打造成效非凡的生成式 AI 專案。
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人工智慧 (AI) 和機器學習 (ML) 象徵著資訊技術的重大演進，正迅速改變各行各業。在「運用 Google Cloud 人工智慧推動創新」課程中，我們會探討組織如何運用 AI 和機器學習技術，翻轉業務流程。
本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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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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雲端技術是強大的資產，與資料搭配後，將成為創新和提升客戶體驗的催化劑。「運用 Google Cloud 探索資料轉換功能」課程將探討機構如何運用雲端，讓資料更易於存取、做為行動依據和更有價值。
這門課程是 Cloud Digital Leader 學習路徑的一部分，旨在協助個人在職務上成長，並打造企業的未來。
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