Generative AI for Business Leaders
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How Google does Machine Learning
دوراتنا
Sensor Manufacturing and Process Control
"Sensor Manufacturing and Process Control" can also be taken for academic credit as ECEA 5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our fourth course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled "Sensors and Sensor Circuits", our second course entitled "Motor and Motor Control Circuits", and our third course entitled "Pressure, Force, Motion, and Humidity Sensors".
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Course by
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Self Paced
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55 ساعات
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الإنجليزية
Using Cloud Trace on Kubernetes Engine
This is a self-paced lab that takes place in the Google Cloud console. This lab deployings a Kubernetes Engine cluster, then a simple web application fronted by a load balancer is deployed to the cluster. The web app publishes messages provided by the user to a Cloud Pub/Sub topic. You will see the correlated telemetry data from HTTP requests to the app will be available in the Cloud Trace Console.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Reaching Vulnerable Groups through Pandemic Policy
This course aims to provide an in-depth reflection on social work in different contexts, hereby focusing on their needs, the way the contexts have been influenced, and different challenges that have occurred during the last two years.
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Course by
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Self Paced
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6 ساعات
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الإنجليزية
Building R Packages
Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
Internet of Things Capstone: Build a Mobile Surveillance System
In the Capstone project for the Internet of Things specialization, you will design and build your own system that uses at least 2 sensors, at least 1 communication protocol and at least 1 actuator. You will have a chance to revisit and apply what you have learned in our courses to achieve a robust, practical and/or fun-filled project. We absolutely encourage you to design whatever you can think up! This is your chance to be creative or to explore an idea that you have had. But if you don’t have your own idea, we provide the description of a surveillance system, for you to build.
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Course by
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Self Paced
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5 ساعات
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الإنجليزية
Automate an e-commerce web application using Selenium & Java
In this 1-hour long project-based course, you will learn -
1. Writing test automation scripts using Selenium to automation an e-commerce website
2. Interacting with web elements like text box, dropdown select, buttons, lists
3. Performing scroll down operation using Mouse operations (Action Class)
4. Performing scroll down operation using Javascripts via Selenium
5. Writing XPaths for dynamic web elements
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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4 ساعات
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الإنجليزية
Scripting with Python and SQL for Data Engineering
In this third course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will explore techniques to work effectively with Python and SQL. We will go through useful data structures in Python scripting and connect to databases like MySQL. Additionally, you will learn how to use a modern text editor to connect and run SQL queries against a real database, performing operations to load and extract data. Finally, you will use extracted data from websites using scraping techniques.
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Course by
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Self Paced
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18 ساعات
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الإنجليزية
Aruba SD WAN Basics
The Wide Area Network (WAN) is the focal point for connecting different sites of an organization in a global environment. In Aruba SD-WAN Basics, you’ll get an introduction to the Wide Area Network (WAN) and how Software Defined-WAN (SD-WAN) addresses today’s IT challenges. We’ll look at how SD-WAN simplifies network operations with automation and provide greater visibility to manage security challenges. Learn the fundamentals of how the Aruba SD-WAN solution works with EdgeConnect SD-WAN Fabric to simplify deployment, operations, and monitoring.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Blockchain 360: A State of the Art for Professionals
Businesses are currently dealing intensively with digital transformation. Blockchain has a major impact on the design and implementation of digital business processes in many application areas such as the Internet of Things, the Smart Grid, supply chain, and many more.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Data Analysis and Representation, Selection and Iteration
This course is the second course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means! This course assumes you have the prerequisite knowledge from the previous course in the specialization. You should make sure you have that knowledge, either by taking that previous course or from personal experience, before tackling this course.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Configure and Manage Azure Key Vault
In this 1 hour long project-based course, you will learn to configure and manage Azure Key Vault along with the sensitive data stored inside. First, we will learn to create an Azure Key Vault within the Azure portal. Then we will learn to create keys, secrets, and certificates on the Azure Key Vault using PowerShell and the Azure portal. We will also assign a Key Vault contributor role to an existing user.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Techniques for Teaching Adjectives and Adjective Clauses
This is the second course in the Teach English: Intermediate Grammar specialization. In this course, you will learn how to effectively teach adjectives, adjective phrases, and adjective clauses to your students. You will learn what makes this grammar difficult for students and how to make it easier for them. You will also learn a variety of activities and methods for teaching this content in a fun and interesting way. You will have opportunities to practice the skills you learn by creating sample assignments and recording short videos of your teaching demonstrations.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Be Your Best Creative Self
Welcome to Be Your Best Creative Self, the second course in the Personal Development for Professional Success Specialization. This course is for creative professionals who want to work more efficiently and at higher levels of both job satisfaction and success.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
Create a Landing Page using Mailchimp
This 2-hour long project-based course is an introduction on how to create and design a landing page using MailChimp. Collecting the details of marketing prospects for marketing purposes online starts with a well designed landing page. This course will take you through creating one on MailChimp. MailChimp is an email service platform and autoresponder for email marketing. By the end of this project, you will create and launch a live-on-the-web page people can sign up on.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
ML Parameters Optimization: GridSearch, Bayesian, Random
Hello everyone and welcome to this new hands-on project on Machine Learning hyperparameters optimization. In this project, we will optimize machine learning regression models parameters using several techniques such as grid search, random search and Bayesian optimization. Hyperparameter optimization is a key step in developing machine learning models and it works by fine tuning ML models so they can optimally perform on a given dataset.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Time Series Data Visualization And Analysis Techniques
By the end of this project we will learn how to analyze time series data. We are going to talk about different visualization techniques for time series datasets and we are going to compare them in terms of the tasks that we can solve using each of them. Tasks such as outlier detection, Key moments detection and overall tren
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
User-Defined Functions in JavaScript
By the end of this project you will have created and used a function in JavaScript. You will use the Notepad++ editor to write both internal and external JavaScript functions and the code to call them from within an HTML file. Through hands-on practice you will compare methods and functions and look at built-in functions versus user-defined functions.
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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2 ساعات
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الإنجليزية
Introduction to User Experience Building Blocks in Miro
By the end of this project, you will be able to leverage User Experience building blocks to map, design, and manage the User Experience.
To do this you will consider the fundamentals of User Experience and User Interface design while gaining hands-on experience exploring, accessing, and installing building block components in the Miro online visual collaboration platform for teamwork.
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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2 ساعات
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الإنجليزية
Analyze Text Data with Yellowbrick
Welcome to this project-based course on Analyzing Text Data with Yellowbrick. Tasks such as assessing document similarity, topic modelling and other text mining endeavors are predicated on the notion of "closeness" or "similarity" between documents. In this course, we define various distance metrics (e.g. Euclidean, Hamming, Cosine, Manhattan, etc) and understand their merits and shortcomings as they relate to document similarity. We will apply these metrics on documents within a specific corpus and visualize our results.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Set up your dev environment for LAMP web developers on Linux
By the end of this project, you will set up your development environment for LAMP web developers on Linux.
Often, a dynamic web application consists of many different technologies and programming languages. Creating a web application with Linux, Apache (or NGINX), MySQL (or MariaDB), and PHP is usually referred to as a LAMP stack of technologies. In this project we will focus on installation and setup, rather that the code itself. This will allow you to use the same scaffolding approach for your future LAMP applications.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Read an Input File with COBOL
In this project you will use COBOL code to read the data records from a sequential file. You will code, compile, and run programs using the PC-based COBOL IDE called OpenCobolIDE. Since COBOL is often used with large amounts of data, the ability to process files—to read the records in them as input and write the records as output—is a critical skill for any COBOL programmer.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Fake News Detection with Machine Learning
In this hands-on project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus. This project could be practically used by any media company to automatically predict whether the circulating news is fake or not. The process could be done automatically without having humans manually review thousands of news related articles. 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
Build a Database from a Relational Model
In this course you will interpret the components of a relational data model, convert that model into a relational database, and then test the database design. The process of database design begins with requirements analysis to determine who will use the new database and how it will be used. The results of the detailed analysis are recorded in an Entity Relationship Diagram (ERD), which documents entities and their attributes, along with the relationships between entities.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Classify Images of Cats and Dogs using Transfer Learning
This is a self-paced lab that takes place in the Google Cloud console. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. This lab uses transfer learning to train your machine. In transfer learning, when you build a new model to classify your original dataset, you reuse the feature extraction part and re-train the classification part with your dataset.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Wind resources for renewable energies
The main goal of this course is to get the necessary knowledge on atmospheric and fluid dynamics in order to quantify the wind resource of a local or regional area. We’ll learn about basic meteorology, the specific dynamics of turbulent boundary layers and some standard techniques to estimate wind resources regardless of the type of turbine used or the level of efficiency achieved. Then, we will see what are the turbines characteristics to consider in order to estimate the electricity production from an isolated turbine or from a turbine farm.
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Course by
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Self Paced
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17 ساعات
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الإنجليزية