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Our Courses
Rapid Prototyping of Embedded Interface Designs
This course can also be taken for academic credit as ECEA 5347, part of CU Boulder’s Master of Science in Electrical Engineering degree.
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Course by
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Self Paced
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10 hours
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English
Internet of Things: Communication Technologies
Have you wondered how “Things” talk to each other and the cloud? Do you understand the alternatives for conveying latency-sensitive real time data versus reliable signaling data? Building on the skills from the Sensing and Actuation course, we will explore protocols to exchange information between processors.
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Course by
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Self Paced
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6 hours
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English
How to Write a Resume (Project-Centered Course)
What you’ll achieve:
In this project-centered course*, you will craft an essential cornerstone of the modern-day job or internship search: the resume. You’ll review resume best practices and explore current trends with guidance from a professional career counselor and recruiter, and you’ll exchange structured feedback with your peers as you work to polish your own resume. When you complete the course, you’ll have an eye-catching resume that lets your professional strengths shine.
What you’ll need to get started:
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Course by
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Self Paced
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5 hours
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English
Introduction to Vertex Forecasting and Time Series in Practice
This course is an introduction to building forecasting solutions with Google Cloud. You start with sequence models and time series foundations. You then walk through an end-to-end workflow: from data preparation to model development and deployment with Vertex AI. Finally, you learn the lessons and tips from a retail use case and apply the knowledge by building your own forecasting models.
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Course by
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Self Paced
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15 hours
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English
FPGA Softcore Processors and IP Acquisition
This course will introduce you to all aspects of development of Soft Processors and Intellectual Property (IP) in FPGA design. You will learn the extent of Soft Processor types and capabilities, how to make your own Soft Processor in and FPGA, including how to design the hardware and the software for a Soft Processor. You will learn how to add IP blocks and custom instructions to your Soft Processor. After the Soft Processor is made, you learn how to verify the design using simulation and an internal logic analyzer.
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Course by
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Self Paced
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10 hours
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English
Regression Analysis with Yellowbrick
Welcome to this project-based course on Regression Analysis with Yellowbrick.
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Course by
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Self Paced
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3 hours
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English
Hiring Practices
Welcome to Hiring Practices. In this course, you will learn how to develop a strategic plan to attract, recruit and retain employees at every level, from those just entering the workforce through those at the executive level. We will explore each step of the recruitment, selection, and onboarding process, providing a thorough explanation of the uniqueness of the step and its fit and importance within the entire talent lifecycle. Special attention is paid to diversity and inclusion as it relates to each of these steps and how we can successfully harness these most valued practices.
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Course by
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Self Paced
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15 hours
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English
Retail Customer Service
The Retail Customer Service course examines the day-to-day tasks that will be tackled in a retail customer service setting, including advanced skills such as returns and exchanges. You will apply guidelines for transactions such as sales, returns, exchanges, and data entry for customer information in real simulations. You will also observe the skills within a retail community location, evaluating the types of tasks observed and shared with a group of peers.
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Course by
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Self Paced
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22 hours
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English
Oracle Cloud Data Management Foundations Workshop
In this course you will learn how Oracle's cloud data platform extends and complements its core databases. Understand how to architect data management platforms that work together to simplify and maximize productivity, while reducing cost and improving performance, reliability, and security.
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Course by
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Self Paced
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9 hours
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English
Essentials in Clinical Simulations Across the Health Professions
This 7-week course provides you with key strategies to help understand the foundation of Clinical Simulations. During each module, you will learn about 7 key components of Clinical Simulation Across the Health Professions and its' impact in your current position as a healthcare professional. Please utilize all of the Resources provided by each of the modules to support and enhance your understanding of each concept. You will learn about the following topics in this course:
Module 1: Getting Started in Clinical Simulation-the Fundamentals
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Course by
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Self Paced
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12 hours
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English
Create a Syllabus using Libre Writer
In this project, you will learn how to create a visually appealing course syllabus in Libre Writer.
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Course by
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Self Paced
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3 hours
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English
Designing for Sustainment: Keeping Improvement Work on Track (Patient Safety IV)
Keeping patient safety and quality improvement projects on track, on time, and on budget is critical to ensuring their success. In this course, students will be introduced and given the opportunity to apply a series of tools to guide and manage patient safety and quality initiatives. These include tools for defining what success looks like, developing a change management plan, and conducting a pre-mortem to identify risks for project failure. This course will also provide tools for engaging stakeholders to ensure key players are invested in your project’s success.
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Course by
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Self Paced
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7 hours
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English
Infectious Disease Transmission Models for Decision-Makers
During the COVID-19 pandemic, both the promise and perils of using infectious disease transmission models to make public health policy decisions became clearer than ever. Optimal use of modeled output requires that public health policy makers be informed consumers of models, that they understand the strengths and limitations of possible approaches, and they know the right questions to ask about the vulnerabilities of the model results.
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Course by
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Self Paced
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4 hours
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English
Distributed Machine Learning with Google Cloud ML
This is a self-paced lab that takes place in the Google Cloud console.
Learn the process for partitioning a data set into two separate parts: a training set to develop a model, and a test set to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.
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Course by
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Self Paced
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2 hours
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English
Analysis of Algorithms
This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.
All the features of this course are available for free. It does not offer a certificate upon completion.
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Course by
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Self Paced
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21 hours
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English
Artificial Intelligence Data Fairness and Bias
In this course, we will explore fundamental issues of fairness and bias in machine learning. As predictive models begin making important decisions, from college admission to loan decisions, it becomes paramount to keep models from making unfair predictions. From human bias to dataset awareness, we will explore many aspects of building more ethical models.
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Course by
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Self Paced
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7 hours
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English
React Native
React Native es un marco de código abierto para crear aplicaciones multiplataforma mediante React y los recursos nativos de la plataforma. En este curso, pasará de los conceptos básicos de React a una implementación más avanzada mediante React Native. Verá una amplia gama de componentes de React y maneras de aplicarles estilos. Y podrá practicar cómo usar diferentes métodos móviles de interactividad con React Native.
Algunas de las habilidades básicas que aprenderá son:
•\tCrear una aplicación React Native de una sola página y aplicarle un estilo usando componentes básicos
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Course by
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Self Paced
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38 hours
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English
Introduction to C++ Programming and Unreal
This course is all about starting to learn how to develop video games using the C++ programming language and the Unreal Engine on Windows or Mac.
This course assumes you have previous programming experience in some other language. Although we'll start at the very beginning for C++, hardly anybody learns (or teaches) C++ as a first language. Similarly, Unreal Engine is a commercial, industrial strength game engine. With great power comes great ... complexity, so it's important that you have the will to work hard to learn how to use C++ in Unreal Engine.
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Course by
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Self Paced
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20 hours
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English
RF and millimeter-Wave Circuit Design
This unique Master-level course offered by the Center for Wireless Technology Eindhoven (CWT/e) of the Eindhoven University of Technology, The Netherlands, provides students with in-depth knowledge and hands-on experience on RF and mmWave circuit design.
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Course by
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Self Paced
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30 hours
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English
Create a Simple Gantt Chart using Google Sheets
By the end of this project, you will be able to create a simple Gantt Chart using Google Sheets.
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Course by
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Self Paced
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2 hours
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English
Multi-Echelon Inventory Simulation Using R Simmer
Welcome to "Multi Echelon Inventory Simulation Using R Simmer".
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Course by
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Self Paced
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2 hours
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English
Statistical Forecasting Techniques in Google Sheets
We consume forecasted data regularly in our personal and business lives, covering everything from the weather to projected investment returns.
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Course by
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Self Paced
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3 hours
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English
Infrastructure Automation with Terraform
Terraform is one of the most recognized infrastructure automation tools that help in addressing various real-life challenges. Infrastructure automation is a reliable instrument for improving productivity, efficiency, and reduction of operational downtime for enterprises. As a result, you can gain better career opportunities with skills in infrastructure automation with Terraform.
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Course by
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Self Paced
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17 hours
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English
Burp Suite for Beginners: Intro to Penetration Testing
This Guided Project Burp suite for beginners: Intro to Penetration Testing, is for people who wish to start their career in penetration or security testing.
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Course by
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Self Paced
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2 hours
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English
Exploring Beethoven's Piano Sonatas Part 4
Please join us for Part 4 of Exploring Beethoven's Piano Sonatas course, taught by Curtis faculty member and extraordinary concert artist, Jonathan Biss. This course is new and contains separate sets of lectures and sonatas that we not previously discussed. Specifically, in Part 4, we will cover Beethoven's Piano Sonatas Op. 2, No. 2, Op. 10, No. 3, Op. 28 and Op. 110. As with the other three Beethoven courses, it is not necessary to have taken the previous Exploring Beethoven's Piano Sonatas courses.
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Course by
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Self Paced
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5 hours
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English