Introduction to Responsible AI
Earned mai 22, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mai 22, 2024 EDT
Introduction to Large Language Models
Earned mai 22, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned mai 22, 2024 EDT
Introduction to Generative AI
Earned mai 20, 2024 EDT
Introduction to Data Analytics on Google Cloud
Earned mai 17, 2024 EDT
Prompt Design in Vertex AI
Earned mai 16, 2024 EDT
Level 3: GenAIus Registries
Earned mai 15, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 15, 2024 EDT
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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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 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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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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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 beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started. Almost anyone who performs or uses data analysis in their work can benefit from this course.
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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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Today, developers need all the tools to shine. Artifact Registry is your one-stop shop for storing and managing your code. Learn how to start building your dream code and earn a Google Cloud Credential along the way!- No prior experience needed!
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Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run.
Introduction to Responsible AI
Earned mai 22, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mai 22, 2024 EDT
Introduction to Large Language Models
Earned mai 22, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned mai 22, 2024 EDT
Introduction to Generative AI
Earned mai 20, 2024 EDT
Introduction to Data Analytics on Google Cloud
Earned mai 17, 2024 EDT
Prompt Design in Vertex AI
Earned mai 16, 2024 EDT
Level 3: GenAIus Registries
Earned mai 15, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 15, 2024 EDT