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Our Courses
Structuring Machine Learning Projects
In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.
By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning.
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Course by
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Self Paced
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7 hours
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English
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- AED 170.99 + VAT
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Google Cloud Fundamentals: Core Infrastructure
Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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Self Paced
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8 hours
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English
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- AED 171 + VAT
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Attitude Control with Momentum Exchange Devices
This course is part 1 of the specialization Advanced Spacecraft Dynamics and Control. It is a direct continuation of the Coursera specialization Spacecraft Dynamics and Control. This first course focuses on nonlinear attitude feedback control using a range of angular momentum devices. The course provides a comprehensive review of prerequisite material. Next it develops equations of motion of a spacecraft with momentum exchange devices such as reaction wheels (RWs), control momentum gyroscopes (CMGs) and variable speed control moment gyroscopes (VSCMGs).
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Course by
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Self Paced
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45 hours
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English
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Introduction to Chemistry: Structures and Solutions
This is an introductory course for students with limited background in chemistry; basic concepts such as atomic and molecular structure, solutions, phases of matter, and quantitative problem solving will be emphasized wi…
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Self Paced
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17 hours
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English
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Introduction to Electronics
This course introduces students to the basic components of electronics: diodes, transistors, and op amps. It covers the basic operation and some common applications.
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Self Paced
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46 hours
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English
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Build Basic Generative Adversarial Networks (GANs)
In this course, you will:
- Learn about GANs and their applications
- Understand the intuition behind the fundamental components of GANs
- Explore and implement multiple GAN architectures
- Build conditional GANs capable of generating examples from determined categories
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Course by
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Self Paced
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30 hours
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English
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Genomics: Decoding the Universal Language of Life
What is a genome? A genome contains all of the information that a cell needs to develop, function, and reproduce itself, and all the information needed for those cells to come together to form a person, plant, or animal. Genomes contain an organism’s complete set of genes, and also the even tinier genetic structures that help regulate when and how those genes are used.
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Course by
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Self Paced
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37 hours
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English
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Getting Started with Google Kubernetes Engine
Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.
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Self Paced
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6 hours
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English
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- AED 171 + VAT
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Advanced Capstone Spacecraft Dynamics and Control Project
This capstone course is the 3rd and final course of the specialization Advanced Spacecraft Dynamics and Control. It assumes you have completed the prior courses on "Attitude Control with Momentum Exchange Devices" and "Analytical Mechanics for Spacecraft Dynamics". This project course investigates the dynamics of a complex spacecraft system where there is a rigid hub onto which a hinged panel is attached. This simulates a spacecraft with a time varying geometry.
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Course by
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Self Paced
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16 hours
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English
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Digital Business Models
Digital business models are disrupting 50-year old companies in telecommunications, transportation, advertising, e-commerce, automotive, insurance and many other industries. This course will explore the business models of software disruptors of the west such as Apple, Google, Facebook and Amazon, and the east such as Xiaomi and weChat. The class uses a structured framework for analysing business models with numerous examples so that students can apply it to their own business or case study.
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Course by
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Self Paced
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11 hours
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English
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Computer Vision Fundamentals with Google Cloud
This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models.
The course shows how to improve a model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting the data.
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Course by
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Self Paced
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19 hours
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English
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Launching into Machine Learning
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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Course by
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Self Paced
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14 hours
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English
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Understanding the Music Business: What is Music Worth?
This course will examine the music industry in the United States, with the unique perspective gained by Vanderbilt University’s location in Nashville, TN. Nashville is a major center of music in the United States, and the music created here has a global reach, particularly in the country, rock, pop, singer-songwriter, and Americana genres. However, students will learn that the basic principles of recording, marketing, copyright, licensing, and live performance are the same, regardless of musical style or genre.
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Course by
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Self Paced
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18 hours
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English
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Lactation Biology
Lactation and especially milk, which is the product of that unique mammalian process, are routinely encountered within our daily lives. Nevertheless, they often are poorly understood by many, even including many who are engaged in the business of producing milk. The overall course goal is to introduce fundamental concepts that form the basis for understanding the biology of lactation, the biology of the mammary gland, and the products of that important physiological process.
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Course by
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Self Paced
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40 hours
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English
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Writing and Editing: Structure and Organization
This second course in the Good with Words: Writing and Editing series will help you become an effective architect of information, both with your sentences and with your paragraphs. You’ll learn that the traditional advice to “Show, don’t tell” is incomplete and that skilled writers actually switch back and forth between showing and telling.
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Course by
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Self Paced
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15 hours
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English
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Included in- Starter @ AED 99 + VAT
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Regression Models
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated.
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Course by
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Self Paced
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54 hours
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English
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Included in- Starter @ AED 99 + VAT
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Introduction to Social Media Marketing
This course lays the foundation of social media marketing. You’ll learn what social media marketing entails, including the history and the different social media channels that exist. You’ll learn how to select a social media channel that fits your needs, set goals and success metrics, and determine who your target audience is.
By the end of this course, you will be able to:
• Understand the landscape of traditional, digital, and social media marketing
• Understand how to become certified as a Digital Marketing Associate
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Course by
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Self Paced
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33 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
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Data Collection and Processing with Python
This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.
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Course by
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Self Paced
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16 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
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Building Resilient Streaming Analytics Systems on Google Cloud
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud using QwikLabs.
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Course by
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Self Paced
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8 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
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Natural Language Processing with Probabilistic Models
In Course 2 of the Natural Language Processing Specialization, you will:
a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming,
b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is vital for computational linguistics,
c) Write a better auto-complete algorithm using an N-gram language model, and
d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model.
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Course by
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Self Paced
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31 hours
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English
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State Estimation and Localization for Self-Driving Cars
Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course.
This course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car. By the end of this course, you will be able to:
- Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares
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Course by
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Self Paced
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27 hours
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English
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Teach English Now! Technology Enriched Teaching
This course focuses on the key concepts you need in order to effectively integrate technology into your teaching, without letting it overshadow language learning. Discover current and future trends in educational technology, along with strategies for implementing these trends in the classroom and beyond. As technology is continually evolving, learn how to keep up on current technological applications through professional development networks and training opportunities.
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Course by
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Self Paced
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19 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
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Natural Language Processing on Google Cloud
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
- Recognize the NLP products and the solutions on Google Cloud.
- Create an end-to-end NLP workflow by using AutoML with Vertex AI.
- Build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow.
- Recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT.
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Course by
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Self Paced
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13 hours
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English
Monthly Subscription
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Python Data Analysis
This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.
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Course by
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Self Paced
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9 hours
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English
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Introduction to Computer Vision and Image Processing
Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries.
As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection.
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Course by
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Self Paced
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22 hours
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English
Monthly Subscription
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