Create ML Models with BigQuery ML
Earned juin 20, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juin 20, 2024 EDT
Detect Manufacturing Defects Using Visual Inspection AI
Earned juin 19, 2024 EDT
Analyze Sentiment with Natural Language API
Earned juin 13, 2024 EDT
Analyze Speech and Language with Google APIs
Earned juin 12, 2024 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned juin 11, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned juin 8, 2024 EDT
Prompt Design in Vertex AI
Earned juin 6, 2024 EDT
Level 3: GenAIus Travels
Earned juin 5, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned juin 3, 2024 EDT
Introduction to Responsible AI
Earned mai 31, 2024 EDT
Introduction to Large Language Models
Earned mai 30, 2024 EDT
Introduction to Generative AI
Earned mai 29, 2024 EDT
The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.
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Constant communications are a thing in the Cloud, with networking connecting all your resources and services. Discover how to manage and optimize these communications using Google Cloud's powerful networking tools, and earn an exclusive Google Cloud Credential—no prior experience needed!
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The Cloud hums with constant communication, and the backbone of that connection is networking, linking all your resources and services. Get ready to gain hands-on experience with Google Cloud's powerful networking tools and earn an exclusive Google Cloud Credential—no prior experience needed!
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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.
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Follow your favorite soccer/football stars as they go for glory in Germany with GenAIus Travel Guides and learn how to interact with chat applications, master prompt engineering, understand AI context, and work with Generative AI—all with no prior experience—and earn an exclusive Google Cloud Generative AI Credential to showcase your skills!
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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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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Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.
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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.
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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.
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Earn the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.
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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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Excited to follow your favorite soccer/football stars on their next quest? Use GenAIus Travel Guides to learn how to interact with chat applications, master prompt engineering, understand the importance of context in AI, and work with Generative AI. Earn an exclusive Google Cloud Generative AI Credential and showcase your new skills! No prior experience needed!
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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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.
Generative AI Explorer - Vertex AI
Earned août 21, 2024 EDT
Level 1: Cloud Connections
Earned juil. 9, 2024 EDT
Level 1: Cloud Networking
Earned juil. 4, 2024 EDT
Derive Insights from BigQuery Data
Earned juil. 3, 2024 EDT
Level 3: GenAIus Travel Guides
Earned juil. 2, 2024 EDT
Create ML Models with BigQuery ML
Earned juin 20, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juin 20, 2024 EDT
Detect Manufacturing Defects Using Visual Inspection AI
Earned juin 19, 2024 EDT
Analyze Sentiment with Natural Language API
Earned juin 13, 2024 EDT
Analyze Speech and Language with Google APIs
Earned juin 12, 2024 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned juin 11, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned juin 8, 2024 EDT
Prompt Design in Vertex AI
Earned juin 6, 2024 EDT
Level 3: GenAIus Travels
Earned juin 5, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned juin 3, 2024 EDT
Introduction to Responsible AI
Earned mai 31, 2024 EDT
Introduction to Large Language Models
Earned mai 30, 2024 EDT
Introduction to Generative AI
Earned mai 29, 2024 EDT