Our Courses

3D Models for Virtual Reality

3D Models for Virtual Reality

This course will begin your journey to creating Virtual Reality experiences. A Virtual Reality experience is a new world that you step into and are entirely immersed in. Creating a VR experience means creating that world and all the objects in it.

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  • 16 hours
  • English
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Production Machine Learning Systems

Production Machine Learning Systems

In this course, we dive into the components and best practices of building high-performing ML systems in production environments. \n\nWe cover some of the most common considerations behind building these systems, e.g. static training, dynamic training, static inference, dynamic inference, distributed TensorFlow, and TPUs. \n\nThis course is devoted to exploring the characteristics that make for a good ML system beyond its ability to make good predictions.

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  • 19 hours
  • English
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The Finite Element Method for Problems in Physics

The Finite Element Method for Problems in Physics

This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently.\n\nThe course includes about 45 hours of lectures covering the material I normally teach in an\nintroductory graduate class at University of Michigan.

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  • 62 hours
  • English
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Knowing the Universe: History and Philosophy of Astronomy

Knowing the Universe: History and Philosophy of Astronomy

This is an introductory level course about the history and philosophy of astronomy, the oldest science. We'll look at how humans learned to ask questions about the universe, and even before the invention of modern instruments like the telescope, learned some amazing things about their place in nature. We will start with prehistoric cultures who kept accurate calendars and move through the time of the Greek philosophers who laid down the rudiments of logic and mathematics and the modern scientific method.

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  • 32 hours
  • English
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Reproducible Research

Reproducible Research

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations.

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  • 8 hours
  • English
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Anatomy: Musculoskeletal and Integumentary Systems

Anatomy: Musculoskeletal and Integumentary Systems

In this anatomy course, part of the Anatomy Specialization, you will learn how the components of the integumentary system help protect our body (epidermis, dermis, hair, nails, and glands), and how the musculoskeletal system (bones, joints, and skeletal muscles) protects and allows the body to move.\n\nYou will engage with fascinating videos, lectures, and anatomical visual materials (illustrations and cadaveric images) to learn about these properties and functions.

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  • 26 hours
  • English
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Musicianship: Chord Charts, Diatonic Chords, and Minor Keys

Musicianship: Chord Charts, Diatonic Chords, and Minor Keys

After a tremendous response from learners on Coursera, Berklee Online has created a Developing Your Musicianship specialization, and this course is the second course in the series. If you have a basic knowledge of music theory or if you have completed Developing Your Musicianship I, this course will continue to help you understand key musical concepts, enabling you to create and perform contemporary music. Taught by Berklee College of Music professor George W. Russell, Jr., the course includes four lessons that delve into the next level of harmony and ear training.

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  • 12 hours
  • English
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Statistical Inference

Statistical Inference

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance.

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  • 54 hours
  • English
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Smart Analytics, Machine Learning, and AI on Google Cloud

Smart Analytics, Machine Learning, and AI on Google Cloud

Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Vertex AI.

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  • 7 hours
  • English
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Reliable Google Cloud Infrastructure: Design and Process

Reliable Google Cloud Infrastructure: Design and Process

This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.

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  • 8 hours
  • English
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Django Web Framework

Django Web Framework

It's time to build something bigger. In this course, you will use the Django web framework to build, secure and administer a web server. You will have the opportunity to create, design and configure a web app using the Django framework in-line with best practices. \n\nExplore the usage of models in Django and their relationship to databases. Use views to render requested data to meaningful template structures for a composed user interface (UI).

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  • 45 hours
  • English
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Object Tracking and Motion Detection with Computer Vision

Object Tracking and Motion Detection with Computer Vision

In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to track objects and detect motion in videos. Tracking objects and detecting motion are difficult tasks but are required for applications as varied as microbiology and autonomous systems. To track objects, you first need to detect them. You’ll use pre-trained deep neural networks to perform object detection.

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  • 14 hours
  • English
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R Programming

R Programming

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.

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  • 57 hours
  • English
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From Likes to Leads: Interact with Customers Online

From Likes to Leads: Interact with Customers Online

From Likes to Leads: Interact with Customers Online is the third of seven courses in the Google Digital Marketing & E-commerce Certificate. This course will help you develop social media marketing strategies. Social media is a key digital marketing channel for many businesses because of the large number of people who use social platforms to socialize, interact with businesses, and share content. No digital marketing strategy is complete without an online brand presence where customers can engage with a brand.

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  • 27 hours
  • English
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Introduction to Containers w/ Docker, Kubernetes & OpenShift

Introduction to Containers w/ Docker, Kubernetes & OpenShift

Take the next step in your software engineering career by getting skilled in container tools and technologies! The average salary for jobs that require container skills is $137,000 in the US according to salary.com, making Devops professionals and developers with these skills highly in demand. More than 70 percent of Fortune 100 companies are running containerized applications. But why?
Using containerization, organizations can move applications quickly and seamlessly among desktop, on-premises, and cloud platforms.

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  • 13 hours
  • English
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Personality Types at Work

Personality Types at Work

Knowing yourself, your team, your manager, and your organization are keys to personal and business success. What were once labeled soft skills are now modern requirements in today's workplace - especially if you are trying to get in the door or are already leading a team. This course is specifically designed for the:
-Job Seeker: You will create a usable cover letter with feedback from your peers as well as develop exceptional responses to some of the most common, yet challenging interview questions. We will get you the skills to help get in the door!

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  • 21 hours
  • English
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Bioinformatic Methods I

Bioinformatic Methods I

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

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  • 20 hours
  • English
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Healthcare Organizations and the Health System

Healthcare Organizations and the Health System

Have you ever been in a healthcare waiting room and thought about how the organization could be more efficient? For example, have you found yourself thinking about how to reduce the amount of time spent waiting? Or do you work in a healthcare organization and find yourself thinking about how to improve the organization? If you have, this course is for you. Course content includes an overview of healthcare organizations, their administration and management, and their governance.

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  • 18 hours
  • English
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C++ For C Programmers, Part B

C++ For C Programmers, Part B

This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.

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  • 15 hours
  • English
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Mindfulness and Well-being: Foundations

Mindfulness and Well-being: Foundations

This course provides a broad overview of the fundamental concepts, principles, and practices of mindfulness. With interactive exercises to help students explore their own attitudes, mental habits and behaviors, Foundations of Mindfulness offers a pathway for living with more freedom, authenticity and ease. Featured components of the course include experiential exercises, guided meditations, personal reflection and interactive discussions.

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  • 16 hours
  • English
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Foundations: Data, Data, Everywhere

Foundations: Data, Data, Everywhere

This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google.

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  • 22 hours
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English for Media Literacy

English for Media Literacy

Welcome to English for Media Literacy, 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."

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  • 42 hours
  • English
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The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

It's the age of machine learning. Companies are seizing upon the power of this technology to combat risk, boost sales, cut costs, block fraud, streamline manufacturing, conquer spam, toughen crime fighting, and win elections.\n\nWant to tap that potential? It's best to start with a holistic, business-oriented course on machine learning – no matter whether you’re more on the tech or the business side. After all, successfully deploying machine learning relies on savvy business leadership just as much as it relies on technical skill.

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  • 14 hours
  • English
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Piano Techniques for Modern Music

Piano Techniques for Modern Music

If you have always dreamed of playing the piano or keyboard but did not know where to start, this is the course for you. This course will take you through the fundamental skills necessary to build your playing capability quickly and healthily. In addition to the fundamentals, you will learn from exercises and examples from popular music so that you can start playing in multiple styles. You will start by focusing on posture, breathing, movement, and sound production that will help you strengthen your finger independence and control over dynamics, phrasing, articulation, tempo, and pulse.

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  • 12 hours
  • English
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TensorFlow on Google Cloud

TensorFlow on Google Cloud

This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.

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  • 13 hours
  • English
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