Put It All Together: Prepare for a Cloud Data Analyst Job
Earned oct. 28, 2025 EDT
The Power of Storytelling: How to Visualize Data in the Cloud
Earned oct. 28, 2025 EDT
Data Transformation in the Cloud
Earned oct. 28, 2025 EDT
Data Management and Storage in the Cloud
Earned oct. 28, 2025 EDT
Introduction to Data Analytics in Google Cloud
Earned oct. 28, 2025 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned mai 31, 2024 EDT
The Power of Storytelling: How to Visualize Data in the Cloud
Earned mai 30, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned mai 29, 2024 EDT
Data Transformation in the Cloud
Earned mai 29, 2024 EDT
Data Management and Storage in the Cloud
Earned mai 28, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned mai 27, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mai 22, 2024 EDT
Introduction to Responsible AI
Earned mai 22, 2024 EDT
Introduction to Large Language Models
Earned mai 22, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 1, 2024 EDT
Introduction to Generative AI
Earned mai 1, 2024 EDT
Prompt Design in Vertex AI
Earned mai 1, 2024 EDT
Level 3: GenAIus Registries
Earned mai 1, 2024 EDT
This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
En savoir plus
This is the fourth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll focus on developing skills in the five key stages of visualizing data in the cloud: storytelling, planning, exploring data, building visualizations, and sharing data with others. You’ll also gain experience using UI/UX skills to wireframe impactful, cloud-native visualizations and work with cloud-native data visualization tools to explore datasets, create reports, and build dashboards that drive decisions and foster collaboration.
En savoir plus
This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.
En savoir plus
This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
En savoir plus
This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
En savoir plus
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.
En savoir plus
This is the fourth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll focus on developing skills in the five key stages of visualizing data in the cloud: storytelling, planning, exploring data, building visualizations, and sharing data with others. You’ll also gain experience using UI/UX skills to wireframe impactful, cloud-native visualizations and work with cloud-native data visualization tools to explore datasets, create reports, and build dashboards that drive decisions and foster collaboration.
En savoir plus
This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
En savoir plus
This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.
En savoir plus
This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
En savoir plus
This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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!
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned oct. 28, 2025 EDT
The Power of Storytelling: How to Visualize Data in the Cloud
Earned oct. 28, 2025 EDT
Data Transformation in the Cloud
Earned oct. 28, 2025 EDT
Data Management and Storage in the Cloud
Earned oct. 28, 2025 EDT
Introduction to Data Analytics in Google Cloud
Earned oct. 28, 2025 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned mai 31, 2024 EDT
The Power of Storytelling: How to Visualize Data in the Cloud
Earned mai 30, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned mai 29, 2024 EDT
Data Transformation in the Cloud
Earned mai 29, 2024 EDT
Data Management and Storage in the Cloud
Earned mai 28, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned mai 27, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mai 22, 2024 EDT
Introduction to Responsible AI
Earned mai 22, 2024 EDT
Introduction to Large Language Models
Earned mai 22, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 1, 2024 EDT
Introduction to Generative AI
Earned mai 1, 2024 EDT
Prompt Design in Vertex AI
Earned mai 1, 2024 EDT
Level 3: GenAIus Registries
Earned mai 1, 2024 EDT