This course explores the quality assurance best practices and the tools available in Dialogflow CX to ensure production grade quality during Virtual Agent development, as well as the key tenets for the creation of a robust end to end deployment lifecycle
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Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to use them to create conversational agents. Explore other content in the Gemini Agent Ready (GEAR) program.
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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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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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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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[DEPRECATED] DFCX Bot Building Quality Assurance and Deployment Lifecycle
Earned mars 20, 2025 EDT
Create Conversational Agents with Stateful Flows
Earned mars 14, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned mars 4, 2025 EST
Prompt Design in Agent Platform
Earned jan. 19, 2025 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned jan. 11, 2025 EST
[DEPRECATED]Introduction to Responsible AI
Earned jan. 11, 2025 EST
Introduction to Large Language Models
Earned jan. 11, 2025 EST
Introduction to Generative AI
Earned jan. 11, 2025 EST