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Riska Saputra

Date d'abonnement : 2024

Ligue de bronze

6070 points
Google Certified Educator Level 2 Exam (A) Earned mai 28, 2026 EDT
Google Certified Educator Level 1 Exam (A) Earned mai 28, 2026 EDT
Responsible AI: Applying AI Principles with Google Cloud Earned déc. 4, 2024 EST
[DEPRECATED]Introduction to Responsible AI Earned déc. 4, 2024 EST
Introduction to Large Language Models Earned déc. 4, 2024 EST
Introduction to Generative AI Earned déc. 4, 2024 EST
Prompt Design in Agent Platform Earned déc. 4, 2024 EST
Conversational AI Voice and Chat Integrations Earned août 19, 2024 EDT

Validate your expertise with Google tools and advanced technology integration skills! Complete the quiz and labs below to complete the Google Certified Educator Level 2 Exam (A).

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Demonstrate your mastery of Google tools in your classroom! Complete the quiz and labs below to complete the Google Certified Educator Level 1 Exam (A).

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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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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. Explore other content in the Gemini Agent Ready (GEAR) program.

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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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Complete the introductory Prompt Design in Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.

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