Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Google Cloud Storage - Bucket Lock
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to use Google Cloud Storage Bucket Lock to manage object retention.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Version Control in Java: Update Your App with Git
This Guided project "Version Control in Java: Update Your App with Git" is for Java developers trying to efficiently track and handle changes in their projects. In this 2-hour long project-based course, you will learn how to:
* Create and manage repository for Java applications using Git Version Control
* Utilize Git CLI commands to manage changes in project files and resolve merge conflicts
* Set up and use main Git workflows in repositories
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Fixing Healthcare Delivery
Isn’t it time to end the loss of life from preventable medical errors? Each year 100,000 patients die from preventable errors in the U.S. How can you help to change this intractable problem? Knowledge is power, and this course will provide you with a deep understanding of the problems and the solutions. You can become part of the solution.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Term-Structure and Credit Derivatives
This course will focus on capturing the evolution of interest rates and providing deep insight into credit derivatives. In the first module we discuss the term structure lattice models and cash account, and then analyze fixed income derivatives, such as Options, Futures, Caplets and Floorlets, Swaps and Swaptions. In the second module, we will examine model calibration in the context of fixed income securities and extend it to other asset classes and instruments. Learners will operate model calibration using Excel and apply it to price a payer swaption in a Black-Derman-Toy (BDT) model.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Teamwork and Creativity
In this course, you will enhance your ability and opportunity to work creatively within any organization, learn to understand the importance and role of teamwork within the organization, and develop skills that differentiate yourself as a team player. The professional business skills related to teamwork and creativity gained through this course will help you to succeed working in any organization.
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Course by
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Self Paced
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24 ساعات
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الإنجليزية
Selenium WebDriver with Python
“Selenium WebDriver with Python” is a foundational course that aims to provide a comprehensive understanding of Selenium and its components. It also helps in understanding how Selenium WebDriver Operates. This course begins by demonstrating an environment setup for Selenium WebDriver with Python. A brief description of locating Web elements and web Interactions is provided in this course. This course covers an overview of testing frameworks with Selenium WebDriver.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Speaking to a Technical Group
Great speakers focus on voice, nonverbals, eye contact, body language, and storytelling to captivate their audiences. Moreover, as a leader, it is possible to communicate in such a manner and in such a tone of voice so as to inspire in others nothing but an intense desire to excel, making this form, potentially, the most powerful leadership-communication skill of all.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
Designing and Formatting a Presentation in PowerPoint
PowerPoint 365 can be an effective tool to enhance your presentations. Learn how to design and format a presentation that will engage your audience and make your presentations stand out from the rest. This project will walk you step by step through the process of creating a presentation in PowerPoint 365. You will learn how to select a theme that is appropriate for your presentation. Then, you will learn to add and format text and insert visual images or photos into the presentation.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
ML Pipelines on Google Cloud
In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. You will learn about pipeline components and pipeline orchestration with TFX.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Capstone Project: Predicting Safety Stock
In this course, we'll make predictions on product usage and calculate optimal safety stock storage. We'll start with a time series of shoe sales across multiple stores on three different continents. To begin, we'll look for unique insights and other interesting things we can find in the data by performing groupings and comparing products within each store. Then, we'll use a seasonal autoregressive integrated moving average (SARIMA) model to make predictions on future sales.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Awwvision: Cloud Vision API from a Kubernetes Cluster
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Full Stack Cloud Development Capstone Project
Show your mastery of full stack and cloud native application development by completing this capstone project! In this course, you will apply your knowledge and skills to a real-life inspired challenge and use your expertise to develop a successful solution.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Developing Innovative Ideas for Product Leaders
For product leaders, creating new new products and improving existing products are imperatives for success. Maturing technologies and aging product portfolios are requiring companies to discover, develop, and deliver products that customers love. This course is focused on the first step of this journey, identifying and evaluating new product opportunities. This course is primarily aimed at professionals who are inspired, or tasked, to develop and lead products. This include aspiring and active product managers, product designers, product developers, and others in the product arena.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Intermediate Object-Oriented Programming for Unreal Games
This course is the fourth and final course in the Specialization about learning how to develop video games using the C++ programming language and the Unreal game engine on Windows or Mac. This course assumes you have the prerequisite knowledge from the previous three courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Exploring Renewable Energy Schemes
What do you picture when you hear the term “renewable energy?” Do you imagine fields of solar panels, giant windmills, or huge hydroelectric dams? Those are all examples of large-scale, grid-tied systems. In this course, we’ll go much smaller and focus on off-grid, stand-alone systems. We will explore the key components of photovoltaic, wind, and hydroelectric systems. We will examine photovoltaic, or PV, system components, and the scientific laws essential to understanding how renewable energy systems work.
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Course by
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Self Paced
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15 ساعات
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الإنجليزية
Build an expense tracker app in Django
In this project, you’ll develop a web app for Rumi Press, a book distribution company, that helps the company manage its distribution expenses. You’ll use Python and Django to build data models, scaffold an application using Django Admin, and create visual reports. Upon completion, you’ll publish your project on GitHub and showcase your work with a compelling project overview. There isn’t just one right approach or solution in this scenario, which means you can create a truly unique project that helps you stand out to employers.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Importing Data into R
In this 1-hour long project-based course, you will learn how to read all sorts of data and import them into R, including CSV files, Excel files, data from other statistical software, the web and from relational databases. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Predict Taxi Fare with a BigQuery ML Forecasting Model
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create an ML model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Seeking Investment Alpha
In this 1-hour long project-based course, you will learn how to use beta to compare stock’s exposure to the systematic risk and use alpha to quantify the investment’s return over the market return. ATTENTION: To take this course, it is required that you are familiar basic financial risk management concepts. You can gain them by taking the guided project Compare Stock Returns with Google Sheets. Note: This course works best for learners who are based in the North America region.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Intermediate Relational Database and SQL
In this 1-hour long project-based course, you will gain hands-on experience and learn how to create and maintain relational databases such as MySQL, Oracle and MS Access. Concepts covered include database and table creation, primary keys and foreign keys. If you have some experience with end-user level SQL and want to advance to a designer or database administrator role, this course is for you!
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Interpretable Machine Learning Applications: Part 2
By the end of this project, you will be able to develop intepretable machine learning applications explaining individual predictions rather than explaining the behavior of the prediction model as a whole. This will be done via the well known Local Interpretable Model-agnostic Explanations (LIME) as a machine learning interpretation and explanation model. In particular, in this project, you will learn how to go beyond the development and use of machine learning (ML) models, such as regression classifiers, in that we add on explainability and interpretation aspects for individual predictions.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Image Segmentation, Filtering, and Region Analysis
In this course, you will build on the skills learned in Introduction to Image Processing to work through common complications such as noise. You’ll use spatial filters to deal with different types of artifacts. You’ll learn new approaches to segmentation such as edge detection and clustering. You’ll also analyze regions of interest and calculate properties such as size, orientation, and location. By the end of this course, you’ll be able to separate and analyze regions in your own images. You’ll apply your skills to segment an MRI image of a brain to separate different tissues.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Introduction to Seaweeds
This course was produced by the Algae Technology Educational Consortium and UC San Diego with funding from the Algae Foundation, the National Renewable Energy Lab, and the U.S. Department of Energy.
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Course by
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Self Paced
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27 ساعات
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الإنجليزية
Siamese Network with Triplet Loss in Keras
In this 2-hour long project-based course, you will learn how to implement a Triplet Loss function, create a Siamese Network, and train the network with the Triplet Loss function. With this training process, the network will learn to produce Embedding of different classes from a given dataset in a way that Embedding of examples from different classes will start to move away from each other in the vector space.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Attention Mechanism - Italiano
Questo corso ti introdurrà al meccanismo di attenzione, una potente tecnica che consente alle reti neurali di concentrarsi su parti specifiche di una sequenza di input. Imparerai come funziona l'attenzione e come può essere utilizzata per migliorare le prestazioni di molte attività di machine learning, come la traduzione automatica, il compendio di testi e la risposta alle domande.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية