Create ML Models with BigQuery ML
Earned fév. 1, 2024 EST
BigQuery for Machine Learning
Earned fév. 1, 2024 EST
Exploring and Preparing your Data with BigQuery
Earned jan. 30, 2024 EST
Generative AI Fundamentals
Earned jan. 25, 2024 EST
Introduction to Responsible AI
Earned jan. 25, 2024 EST
Introduction to Generative AI
Earned jan. 24, 2024 EST
Introduction to Large Language Models
Earned jan. 24, 2024 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned jan. 4, 2024 EST
Monitor and Log with Google Cloud Observability
Earned nov. 9, 2023 EST
Implementing Cloud Load Balancing for Compute Engine
Earned nov. 8, 2023 EST
Set Up an App Dev Environment on Google Cloud
Earned nov. 8, 2023 EST
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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Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model.
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In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets.
This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.
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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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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 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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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 course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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Complete the introductory Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
Create ML Models with BigQuery ML
Earned fév. 1, 2024 EST
BigQuery for Machine Learning
Earned fév. 1, 2024 EST
Exploring and Preparing your Data with BigQuery
Earned jan. 30, 2024 EST
Generative AI Fundamentals
Earned jan. 25, 2024 EST
Introduction to Responsible AI
Earned jan. 25, 2024 EST
Introduction to Generative AI
Earned jan. 24, 2024 EST
Introduction to Large Language Models
Earned jan. 24, 2024 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned jan. 4, 2024 EST
Monitor and Log with Google Cloud Observability
Earned nov. 9, 2023 EST
Implementing Cloud Load Balancing for Compute Engine
Earned nov. 8, 2023 EST
Set Up an App Dev Environment on Google Cloud
Earned nov. 8, 2023 EST