Prepare Data for Looker Dashboards and Reports
Earned ינו 15, 2026 EST
Introduction to AI and Machine Learning on Google Cloud
Earned ינו 15, 2026 EST
Implement Cloud Security Fundamentals on Google Cloud
Earned ינו 14, 2026 EST
Baseline: Infrastructure
Earned ינו 14, 2026 EST
Derive Insights from BigQuery Data
Earned ינו 12, 2026 EST
Data Migration Tool
Earned ינו 9, 2026 EST
Introduction to Data Engineering on Google Cloud
Earned ינו 9, 2026 EST
Analyze patterns in conversational data with Customer Experience Insights
Earned נוב 29, 2025 EST
Deploy a RAG application with vector search in Firestore
Earned נוב 29, 2025 EST
Extend Gemini with controlled generation and Tool use
Earned נוב 28, 2025 EST
Create media search and media recommendations applications with AI Applications
Earned נוב 24, 2025 EST
Build search and recommendations applications with AI Applications
Earned נוב 24, 2025 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned נוב 5, 2025 EST
Introduction to Generative AI - בעברית
Earned נוב 4, 2025 EST
Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.
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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.
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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this course is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Monitoring and Cloud Functions. You will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
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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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This workload aims to upskill Google Cloud partners to perform specific tasks associated with migrating from an Enterprise Data Warehouse (EDW) to BigQuery using the DMT tool and sample data. Learners will complete a lab that uses the DMT tool to transfer schema and data from Teradata to BigQuery.
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In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.
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Complete the Analyze patterns in conversational data with Customer Experience Insights skill badge to demonstrate your proficiency in analysing customer conversations with Cx Insights. After completing this challenge, you will be ready to deploy Cx Insights to improve customer service performance, and create better customer experiences.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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This lab tests your ability to develop a real-world Generative AI Q&A solution using a RAG framework. You will use Firestore as a vector database and deploy a Flask app as a user interface to query a food safety knowledge base.
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Complete the Extend Gemini with controlled generation and Tool use skill badge to demonstrate your proficiency in connecting models to external tools and APIs. This allows models to augment their knowledge, extend their capabilities and interact with external systems to take actions such as sending an email.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!"
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Complete the Create media search and media recommendations applications with AI Applications skill badge to demonstrate your ability to create, configure, and access media search and recommendations applications using AI Applications.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Learn more
Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Learn more
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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זהו קורס מבוא ממוקד שמטרתו להסביר מהי בינה מלאכותית גנרטיבית, איך משתמשים בה ובמה היא שונה משיטות מסורתיות של למידת מכונה. הוא גם כולל הסבר על הכלים של Google שיעזרו לכם לפתח אפליקציות בינה מלאכותית גנרטיבית משלכם.
Prepare Data for Looker Dashboards and Reports
Earned ינו 15, 2026 EST
Introduction to AI and Machine Learning on Google Cloud
Earned ינו 15, 2026 EST
Implement Cloud Security Fundamentals on Google Cloud
Earned ינו 14, 2026 EST
Baseline: Infrastructure
Earned ינו 14, 2026 EST
Derive Insights from BigQuery Data
Earned ינו 12, 2026 EST
Data Migration Tool
Earned ינו 9, 2026 EST
Introduction to Data Engineering on Google Cloud
Earned ינו 9, 2026 EST
Analyze patterns in conversational data with Customer Experience Insights
Earned נוב 29, 2025 EST
Deploy a RAG application with vector search in Firestore
Earned נוב 29, 2025 EST
Extend Gemini with controlled generation and Tool use
Earned נוב 28, 2025 EST
Create media search and media recommendations applications with AI Applications
Earned נוב 24, 2025 EST
Build search and recommendations applications with AI Applications
Earned נוב 24, 2025 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned נוב 5, 2025 EST
Introduction to Generative AI - בעברית
Earned נוב 4, 2025 EST