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Mettez en pratique vos compétences dans la console Google Cloud

Denuwan Kalubowila

Date d'abonnement : 2024

Ligue d'Or

10890 points
Level 3: Terraform Essentials Earned août 13, 2025 EDT
Build intelligent agents with Agent Development Kit (ADK) Earned août 8, 2025 EDT
The Skills Challenge at Next 2025 Earned mars 15, 2025 EDT
Google Cloud Fundamentals: Core Infrastructure Earned nov. 15, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud Earned avr. 10, 2024 EDT
Prompt Design in Vertex AI Earned avr. 9, 2024 EDT
Introduction to Responsible AI Earned avr. 3, 2024 EDT
Introduction to Large Language Models Earned avr. 1, 2024 EDT
Introduction to Generative AI Earned mars 31, 2024 EDT

Used by over 70% of DevOps teams globally, Terraform has become the go-to tool for provisioning and managing infrastructure as code. In this hands-on challenge, you'll use Terraform to automate the setup of Google Cloud resources—Firestore, Compute Engine, Cloud Storage, VPCs, and more. You'll also manage secure configurations with Service Accounts, Firewall Rules, and Secret Manager. Build a strong foundation for scalable, repeatable deployments and earn an exclusive Google Cloud Credential!.

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This structured course is for developers interested in building intelligent agents using the Agent Development Kit (ADK). It combines hands-on experience, core concepts, and practical application, to provide a comprehensive guide to using ADK. You can also join our community of Google Cloud experts and peers to ask questions, collaborate on answers, and connect with the Googlers making the products you use every day.

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This Course is utilized to certify completion of The Skills Challenge at Next 2025.

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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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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.

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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.

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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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