Приєднатися Увійти

Yassine Rakibi

Учасник із 2024

Діамантова ліга

Кількість балів: 45669
Generative AI for Document Processing Earned жовт. 31, 2025 EDT
Boost Productivity with Gemini in BigQuery Earned жовт. 10, 2025 EDT
Streaming Analytics into BigQuery Earned лист. 6, 2024 EST
Automate Data Migrations to BigQuery Earned лист. 6, 2024 EST
Monitor and Manage Data in BigQuery Earned жовт. 31, 2024 EDT
Perform Predictive Data Analysis in BigQuery Earned жовт. 29, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML Earned жовт. 28, 2024 EDT
Create ML Models with BigQuery ML Earned жовт. 25, 2024 EDT
Build a Data Warehouse with BigQuery Earned жовт. 24, 2024 EDT
Create a Secure Data Lake on Cloud Storage Earned жовт. 22, 2024 EDT
Tag and Discover BigLake Data Earned жовт. 22, 2024 EDT
Підготовка даних для інтерфейсів API машинного навчання в Google Cloud Earned жовт. 21, 2024 EDT
Derive Insights from BigQuery Data Earned жовт. 21, 2024 EDT
Create Image Captioning Models Earned жовт. 18, 2024 EDT
Introduction to Image Generation Earned жовт. 18, 2024 EDT
Security & Identity Fundamentals Earned жовт. 18, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud Earned жовт. 15, 2024 EDT
Scaling with Google Cloud Operations Earned жовт. 15, 2024 EDT
Trust and Security with Google Cloud Earned жовт. 15, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud Earned жовт. 15, 2024 EDT
Innovating with Google Cloud Artificial Intelligence Earned жовт. 7, 2024 EDT
Exploring Data Transformation with Google Cloud Earned жовт. 7, 2024 EDT
Digital Transformation with Google Cloud Earned жовт. 7, 2024 EDT
Transformer Models and BERT Model Earned жовт. 3, 2024 EDT
Encoder-Decoder Architecture Earned жовт. 2, 2024 EDT
Text Prompt Engineering Techniques Earned жовт. 1, 2024 EDT
Generative AI Fundamentals Earned жовт. 1, 2024 EDT
Introduction to Vertex AI Studio Earned вер. 30, 2024 EDT
Data Lake Modernization on Google Cloud Earned вер. 30, 2024 EDT
Data Catalog Fundamentals Earned вер. 27, 2024 EDT
Get Started with Sensitive Data Protection Earned вер. 24, 2024 EDT
Secure BigLake Data Earned вер. 23, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud - Yкраїнська Earned вер. 21, 2024 EDT
Introduction to Responsible AI - Українська Earned вер. 20, 2024 EDT
Generative AI for Business Leaders Earned вер. 20, 2024 EDT
Створення сітки даних за допомогою Dataplex Earned вер. 19, 2024 EDT
Get Started with Dataplex Earned вер. 12, 2024 EDT
Attention Mechanism Earned вер. 9, 2024 EDT

Explore how to use AI to automate document processing tasks, such as classifying documents, extracting data from documents, and summarizing documents. Learn how to use the Document AI Workbench to create custom document extractors and summarizers. Upload documents, define fields, create versions, and call endpoints to get structured data and summaries back. Discover a new service called Document AI Warehouse, which is a fully managed service to search, store, govern, and manage documents and their extracted metadata. You will also learn about how it integrates with other Google Cloud services like Document AI, BigQuery, and Cloud Storage.

Докладніше

This course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization. Through conceptual explanations, a practical use case, and hands-on labs, the course empowers data practitioners to boost their productivity and expedite the development pipeline.

Докладніше

Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.

Докладніше

This skill badge aims to provide partners an introduction to BigQuery Data Transfer Service and Migration Service, two powerful tools for managing and migrating data in the cloud. Learners will learn how to leverage these tools to efficiently migrate and manage data, and gain hands-on experience through labs.

Докладніше

This skill badge aims to evaluate a partner's ability to utilize BigQuery's features and capabilities to manage and analyze large datasets. Learners will gain hands-on experience through labs and achieve solid understanding of BigQuery's foundational concepts and features.

Докладніше

Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.

Докладніше

Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.

Докладніше

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.

Докладніше

Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.

Докладніше

Complete the introductory Create a Secure Data Lake on Cloud Storage skill badge course to demonstrate skills in the following: securing and configuring a Cloud Storage bucket, using Gemini for text generation, managing IAM access control, and establishing a Dataplex lake for data governance.

Докладніше

Earn a skill badge by completing the Tag and Discover BigLake Data skill badge course, where you use BigQuery, BigLake, and Data Catalog within Dataplex to create, tag, and discover BigLake tables.

Докладніше

Пройдіть вступний кваліфікаційний курс Підготовка даних для інтерфейсів API машинного навчання в Google Cloud, щоб продемонструвати свої навички щодо очистки даних за допомогою сервісу Dataprep by Trifacta, запуску конвеєрів даних у Dataflow, створення кластерів і запуску завдань Apache Spark у Dataproc, а також виклику API машинного навчання, зокрема Cloud Natural Language API, Google Cloud Speech-to-Text API і Video Intelligence API.

Докладніше

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.

Докладніше

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

Докладніше

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.

Докладніше

Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections.

Докладніше

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.

Докладніше

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.

Докладніше

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.

Докладніше

Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. 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.

Докладніше

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.

Докладніше

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.

Докладніше

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.

Докладніше

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.

Докладніше

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.

Докладніше

Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.

Докладніше

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.

Докладніше

This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.

Докладніше

This course focuses on how you can bring your on-premises data lakes and workloads to Google Cloud to unlock cost savings and scale.

Докладніше

Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.

Докладніше

Complete the introductory Get Started with Sensitive Data Protection skill badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.

Докладніше

Complete the introductory Secure BigLake Data skill badge course to demonstrate skills with IAM, BigQuery, BigLake, and Dataplex to create and secure BigLake tables.

Докладніше

Що більше штучний інтелект і машинне навчання використовуються в корпоративних середовищах, то нагальнішою стає потреба розробити принципи відповідального ставлення до них. Однак говорити про принципи відповідального використання штучного інтелекту легше, ніж застосовувати їх на практиці. Цей курс допоможе вам дізнатись, як запровадити відповідальну роботу зі штучним інтелектом у вашій організації. У цьому курсі ви дізнаєтеся про підхід Google Cloud до відповідального використання ШІ, а також отримаєте практичні поради й набудете досвіду, який допоможе вам розробити власний підхід до цього завдання.

Докладніше

Це ознайомлювальний курс мікронавчання, який має пояснити, що таке відповідальне використання штучного інтелекту, чому воно важливе і як компанія Google реалізує його у своїх продуктах. Крім того, у цьому курсі викладено 7 принципів Google щодо штучного інтелекту.

Докладніше

A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.

Докладніше

Пройдіть вступний кваліфікаційний курс Створення сітки даних за допомогою Dataplex, щоб продемонструвати свої навички створення такої сітки для покращеної безпеки даних, керування ними й пошуку в Google Cloud. Ви потренуєтеся й перевірите свої навички щодо позначення тегами об’єктів, призначення ролей IAM і перевірки якості даних у Dataplex.

Докладніше

Complete the introductory Get Started with Dataplex skill badge to demonstrate skills in the following: creating Dataplex assets, creating aspect types, and applying aspects to entries in Dataplex.

Докладніше

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.

Докладніше