Implement Load Balancing on Compute Engine
Earned Feb 8, 2025 EST
Analyze Sentiment with Natural Language API
Earned Jan 26, 2025 EST
Store, Process, and Manage Data on Google Cloud - Console
Earned Jan 25, 2025 EST
Store, Process, and Manage Data on Google Cloud - Command Line
Earned Jan 18, 2025 EST
Vector Search and Embeddings
Earned Jan 18, 2025 EST
App Building with AppSheet
Earned Jan 5, 2025 EST
Build Real World AI Applications with Gemini and Imagen
Earned Jan 4, 2025 EST
Prompt Design in Vertex AI
Earned Jan 3, 2025 EST
Introduction to Data Analytics on Google Cloud
Earned Dec 30, 2024 EST
Transformer Models and BERT Model
Earned Dec 25, 2024 EST
Encoder-Decoder Architecture
Earned Dec 25, 2024 EST
Create Image Captioning Models
Earned Dec 25, 2024 EST
Machine Learning Operations (MLOps) for Generative AI
Earned Jul 25, 2024 EDT
Attention Mechanism
Earned Jul 10, 2024 EDT
Introduction to Image Generation
Earned Jul 5, 2024 EDT
Planetary Scale Earth Observation with Google Earth Engine
Earned Feb 26, 2024 EST
Analyze BigQuery Data in Connected Sheets
Earned Feb 26, 2024 EST
Building No-Code Apps with AppSheet: Foundations
Earned Feb 22, 2024 EST
Site Reliability Engineering: Measuring and Managing Reliability
Earned Feb 17, 2024 EST
Use Functions, Formulas, and Charts in Google Sheets
Earned Feb 17, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned Feb 15, 2024 EST
Google Sheets - Advanced Topics
Earned Feb 14, 2024 EST
Generative AI Fundamentals
Earned Feb 13, 2024 EST
Introduction to Vertex AI Studio
Earned Feb 13, 2024 EST
Google Security Operations - SOAR Developer
Earned Feb 13, 2024 EST
Gemini in Google Meet
Earned Feb 13, 2024 EST
Gemini in Google Sheets
Earned Feb 13, 2024 EST
Gemini in Google Slides
Earned Feb 13, 2024 EST
Gemini in Google Docs
Earned Feb 13, 2024 EST
Gemini in Gmail
Earned Feb 13, 2024 EST
Introduction to Gemini for Google Workspace
Earned Feb 12, 2024 EST
Infrastructure and Application Modernization with Google Cloud
Earned Feb 12, 2024 EST
Trust and Security with Google Cloud
Earned Feb 9, 2024 EST
Innovating with Google Cloud Artificial Intelligence
Earned Feb 8, 2024 EST
Scaling with Google Cloud Operations
Earned Feb 7, 2024 EST
Prepare Data for Looker Dashboards and Reports
Earned Jan 30, 2024 EST
Exploring Data Transformation with Google Cloud - Locales
Earned Jan 28, 2024 EST
Analyzing and Visualizing Data in Looker
Earned Jan 28, 2024 EST
Introduction to Large Language Models
Earned Jan 27, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned Jan 25, 2024 EST
Introduction to Responsible AI
Earned Jan 24, 2024 EST
Introduction to Generative AI
Earned Jan 14, 2024 EST
Developing a Google SRE Culture
Earned Jan 13, 2024 EST
Exploring Data Transformation with Google Cloud
Earned Nov 21, 2023 EST
Digital Transformation with Google Cloud
Earned Nov 5, 2023 EST
Gemini for Google Workspace provides users with access to generative AI features. This course delves into the capabilities of Gemini in Google Drive using video lessons, hands-on activities and practical examples. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Drive to improve your workflows.
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Complete the introductory Implement Load Balancing on Compute Engine skill badge to demonstrate skills in the following: writing gcloud commands and using Cloud Shell, creating and deploying virtual machines in Compute Engine, and configuring network and HTTP load balancers. 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 this skill badge, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you will learn how the API derrives sentiment from text. 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 this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you will use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you will use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.
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Earn a skill badge by completing the App Building with AppSheet quest, where you learn how to build, configure, and publish apps using AppSheet. 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 this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Vertex AI platform.
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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. 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 this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, this course demonstrates how to go from raw 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.
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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.
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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
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Learn how public sector agencies and academic researchers leverage Google Earth Engine to distill meaningful insights from petabytes of Earth Observation at planetary scale. Google Earth Engine is a fully managed geospatial platform that has enabled research for more than a decade in environmental areas such as forestry, agriculture, water, and sustainability.
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With Connected Sheets, you can access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet. In this skill badge you will learn how use Google Sheets, BigQuery, and bring it all together with Connected Sheets.
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In this course you will learn the fundamentals of no-code app development and recognize use cases for no-code apps. The course provides an overview of the AppSheet no-code app development platform and its capabilities. You learn how to create an app with data from spreadsheets, create the app’s user experience using AppSheet views and publish the app to end users.
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Service level indicators (SLIs) and service level objectives (SLOs) are fundamental tools for measuring and managing reliability. In this course, students learn approaches for devising appropriate SLIs and SLOs and managing reliability through the use of an error budget.
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Earn a skill badge by completing the Use Functions, Formulas and Charts in Google Sheets quest, where you analyze data with functions and visualize data using charts. In this intermediate-level quest, you learn to search, validate, format and display data. 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 skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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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 course builds on some of the concepts covered in the earlier Google Sheets course.
In this course, you will learn how to apply and customize themes In Google Sheets, and explore conditional formatting options.
You will learn about some of Google Sheets’ advanced formulas and functions. You will explore how to create formulas using functions, and you will also learn how to reference and validate your data in a Google Sheet.
Spreadsheets can hold millions of numbers, formulas, and text. Making sense of all of that data can be difficult without a summary or visualization. This course explores the data visualization options in Google Sheets, such as charts and pivot tables.
Google Forms are online surveys used to collect data and provide the opportunity for quick data analysis. You will explore how Forms and Sheets work together by connecting collected Form data to a spreadsheet, or by creating a Form from an existing spreadsheet.
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Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. 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 course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models. Through immersive lessons, engaging demos, and a hands-on lab, you'll explore the generative AI workflow and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, and model tuning. The aim is to enable you to unlock the potentials of these models in your projects with Vertex AI Studio.
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This course helps developers customize Chronicle and augment its abilities with third party integrations.
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Gemini for Google Workspace provides users with access to generative AI features. This course delves into the capabilities of Gemini in Google Meet. Through video lessons, hands-on activities and practical examples, you will gain a comprehensive understanding of the Gemini features in Google Meet. You learn how to use Gemini to generate background images, improve your video quality, and translate captions. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Meet to maximize the effectiveness of your video conferences.
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Gemini for Google Workspace provides users with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Sheets.
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Gemini for Google Workspace provides users with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Slides.
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Gemini for Google Workspace provides users with access to generative AI features. This course delves into the capabilities of Gemini in Google Docs using video lessons, hands-on activities and practical examples. You learn how to use Gemini to generate written content based on prompts. You also explore using Gemini to edit text you’ve already written, helping you improve your overall productivity. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Docs to improve your writing.
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Gemini for Google Workspace provides users with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Gmail.
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Gemini for Google Workspace provides users with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
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Many traditional enterprises use legacy systems and applications that often struggle to achieve the scale and speed needed to meet modern customer expectations. Business leaders and IT decision makers constantly have to choose between maintenance of legacy systems and investing in innovative new products and services.
This course explores the challenges of an outdated IT infrastructure and how businesses can modernize it using cloud technology. It begins by exploring the different compute options available in the cloud and the benefits of each, before turning to application modernization and Application Programming Interfaces (APIs). The course also considers a range of Google Cloud solutions that can help businesses to better develop and manage their systems, such as Compute Engine, App Engine, and Apigee.
This is the third course in the Cloud Digital Leader series. At the end of this course, enroll in the Understanding Google Cloud Security and Operations course.
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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task.
Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge 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. 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 this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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This course, Exploring Data Transformation with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Exploring Data Transformation with Google Cloud.
Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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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 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 helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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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 7 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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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
Gemini in Google Drive
Earned Feb 13, 2025 EST
Implement Load Balancing on Compute Engine
Earned Feb 8, 2025 EST
Analyze Sentiment with Natural Language API
Earned Jan 26, 2025 EST
Store, Process, and Manage Data on Google Cloud - Console
Earned Jan 25, 2025 EST
Store, Process, and Manage Data on Google Cloud - Command Line
Earned Jan 18, 2025 EST
Vector Search and Embeddings
Earned Jan 18, 2025 EST
App Building with AppSheet
Earned Jan 5, 2025 EST
Build Real World AI Applications with Gemini and Imagen
Earned Jan 4, 2025 EST
Prompt Design in Vertex AI
Earned Jan 3, 2025 EST
Introduction to Data Analytics on Google Cloud
Earned Dec 30, 2024 EST
Transformer Models and BERT Model
Earned Dec 25, 2024 EST
Encoder-Decoder Architecture
Earned Dec 25, 2024 EST
Create Image Captioning Models
Earned Dec 25, 2024 EST
Machine Learning Operations (MLOps) for Generative AI
Earned Jul 25, 2024 EDT
Attention Mechanism
Earned Jul 10, 2024 EDT
Introduction to Image Generation
Earned Jul 5, 2024 EDT
Planetary Scale Earth Observation with Google Earth Engine
Earned Feb 26, 2024 EST
Analyze BigQuery Data in Connected Sheets
Earned Feb 26, 2024 EST
Building No-Code Apps with AppSheet: Foundations
Earned Feb 22, 2024 EST
Site Reliability Engineering: Measuring and Managing Reliability
Earned Feb 17, 2024 EST
Use Functions, Formulas, and Charts in Google Sheets
Earned Feb 17, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned Feb 15, 2024 EST
Google Sheets - Advanced Topics
Earned Feb 14, 2024 EST
Generative AI Fundamentals
Earned Feb 13, 2024 EST
Introduction to Vertex AI Studio
Earned Feb 13, 2024 EST
Google Security Operations - SOAR Developer
Earned Feb 13, 2024 EST
Gemini in Google Meet
Earned Feb 13, 2024 EST
Gemini in Google Sheets
Earned Feb 13, 2024 EST
Gemini in Google Slides
Earned Feb 13, 2024 EST
Gemini in Google Docs
Earned Feb 13, 2024 EST
Gemini in Gmail
Earned Feb 13, 2024 EST
Introduction to Gemini for Google Workspace
Earned Feb 12, 2024 EST
Infrastructure and Application Modernization with Google Cloud
Earned Feb 12, 2024 EST
Trust and Security with Google Cloud
Earned Feb 9, 2024 EST
Innovating with Google Cloud Artificial Intelligence
Earned Feb 8, 2024 EST
Scaling with Google Cloud Operations
Earned Feb 7, 2024 EST
Prepare Data for Looker Dashboards and Reports
Earned Jan 30, 2024 EST
Exploring Data Transformation with Google Cloud - Locales
Earned Jan 28, 2024 EST
Analyzing and Visualizing Data in Looker
Earned Jan 28, 2024 EST
Introduction to Large Language Models
Earned Jan 27, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned Jan 25, 2024 EST
Introduction to Responsible AI
Earned Jan 24, 2024 EST
Introduction to Generative AI
Earned Jan 14, 2024 EST
Developing a Google SRE Culture
Earned Jan 13, 2024 EST
Exploring Data Transformation with Google Cloud
Earned Nov 21, 2023 EST
Digital Transformation with Google Cloud
Earned Nov 5, 2023 EST