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Apply your skills in Google Cloud console

Anand Kumar

Member since 2024

Responsible AI: Applying AI Principles with Google Cloud Earned نوفمبر 16, 2025 EST
Prompt Design in Vertex AI Earned نوفمبر 16, 2025 EST
Introduction to Responsible AI Earned نوفمبر 15, 2025 EST
Introduction to Large Language Models Earned نوفمبر 14, 2025 EST
Introduction to Generative AI Earned نوفمبر 14, 2025 EST
Advanced Conversation Design Earned نوفمبر 30, 2024 EST
Conversation Design Fundamentals Earned نوفمبر 30, 2024 EST
Customer Experience with Google AI Architecture Earned نوفمبر 30, 2024 EST
Conversational AI Voice and Chat Integrations Earned نوفمبر 30, 2024 EST
[DEPRECATED] Advanced Performance Measurement Earned نوفمبر 30, 2024 EST
[DEPRECATED] Basic Performance Measurement Earned نوفمبر 30, 2024 EST
[Deprecated] Advanced Webhook Concepts Earned نوفمبر 29, 2024 EST
[DEPRECATED] Webhook fundamentals Earned نوفمبر 29, 2024 EST

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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In this course, you will learn the advanced conversational design principles for both the Voice and Caht channels to craft engaging and effective end-to-end experiences that emulate human-like interactions.

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This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences.

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In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions.

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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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In this course, you will learn about advanced methods and tools to monitor the performance of your virtual agents in Dialogflow CX

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This course explores the fundamentals of the feedback loop process for Virtual Agent development and introduces the native capabilities within Dialogflow CX that support it

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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Virtual Agent self-service experiences.

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In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.

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