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Our Courses
The Art of Music Production
Explore the art of record production and how to make recordings that other people will love listening to. This course will teach you how to make emotionally moving recordings on almost any recording equipment, including your phone or laptop. The emphasis is on mastering tangible artistic concepts; the gear you use is up to you. You will learn to develop the most important tool in the recording studio: your ears. You will learn to enhance every aspect of your own productions, both sonically and musically, by employing deeper listening skills.
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Course by
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Self Paced
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13 hours
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English
English for Business and Entrepreneurship
Welcome to English for Business and Entrepreneurship, a course created by the University of Pennsylvania, and funded by the U.S. Department of State Bureau of Educational and Cultural Affairs, Office of English Language Programs. To enroll in this course for free, click on “Enroll now” and then select "Full Course. No certificate." This course is designed for non-native English speakers who are interested in learning more about the global business economy. In this course, you will learn about topics and language necessary to succeed in the international workplace.
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Course by
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Self Paced
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32 hours
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English
Data Analysis with R Programming
This course is the seventh course in the Google Data Analytics Certificate. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways.
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Course by
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Self Paced
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37 hours
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English
Version Control
Learn how modern software developers collaborate across the world without messing up each other's code. You will look at the different version control systems and how to create an effective software development workflow. You will be introduced to some of the most commonly used Linux commands that you can use to work with files on your hard drive and create powerful workflows that will automate your work, saving you time and effort. Finally, you will see how Git can be used in software development projects to manage team files. And you will create a repository that can manage code revisions.
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Course by
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Self Paced
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13 hours
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English
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.
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Course by
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Self Paced
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7 hours
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English
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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Course by
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Self Paced
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8 hours
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English
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
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 with the goal of preparing students for further study in chemistry.
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Course by
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Self Paced
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17 hours
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English
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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Course by
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Self Paced
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46 hours
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English
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 The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach.
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Course by
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Self Paced
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30 hours
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English
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. The ability to regrow a torn ligament, the clues that might predict the onset of mental illness, the nutritional potential of crops, and even the history of life itself, are all encoded in genomes.
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Course by
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Self Paced
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37 hours
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English
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. The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud.
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Course by
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Self Paced
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6 hours
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English
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. First, the three-dimensional kinematics of this system are explored.
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Course by
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Self Paced
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16 hours
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English
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.
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Course by
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Self Paced
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11 hours
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English
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
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
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.
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Course by
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Self Paced
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18 hours
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English
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.
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Course by
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Self Paced
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40 hours
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English
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.
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Course by
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Self Paced
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15 hours
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English
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
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.
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Course by
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Self Paced
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33 hours
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English
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.
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Course by
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Self Paced
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16 hours
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English
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 Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using Google Cloud Skills Boost.
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Course by
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Self Paced
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8 hours
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English
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. By the end of this Specialization, you will have designed NLP applications that perform question-answering and se
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Course by
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Self Paced
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31 hours
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English
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.
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Course by
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Self Paced
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27 hours
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English