Our Courses

Machine Learning with ChatGPT: Image Classification Model

Machine Learning with ChatGPT: Image Classification Model

In this 1-hour project, you will learn how to build a machine learning model using ChatGPT.

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  • 3 hours
  • English
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Professional Selling: Step 1 - Think Like a High-Performer

Professional Selling: Step 1 - Think Like a High-Performer

Foundational Skills and Knowledge Required of High Performing Salespeople. This course takes the mystery out of sales and the sales process. Learners will gain a clear understanding of the sales process and the fundamental skills required to build lasting, long-term, trusting relationships with customers. Participants in Course One will be provided “The Road Map” to the sales process and learn how the highest performing salespeople think about sales and sales activity.

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  • 8 hours
  • English
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Creative Artifacts

Creative Artifacts

Creative Artifacts explores how different tools and structures can be used to increase creativity through a multidisciplinary lens. You will see how renowned artists use machine learning to expand their creative capacities, and you will gain experience collaborating with creative AI tools yourself. On a macro scale, you will examine the business strategies and economic policies that make organizations and regions more creative. As you progress, you will reflect on how these tools and structures can enhance your creativity and how they might impact the larger society.

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  • 21 hours
  • English
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Simple Parallel Coordinates Plot using d3 js

Simple Parallel Coordinates Plot using d3 js

Throughout this guided project we are going to create a simple Parallel Coordinates Plot (PCP) using d3 js.

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  • 3 hours
  • English
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Deep Neural Networks with PyTorch

Deep Neural Networks with PyTorch

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered.

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  • 31 hours
  • English
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Write a Mini Reservation Application with Kotlin

Write a Mini Reservation Application with Kotlin

In this 1.5 hours project-based course, you will complete and improve a mini airline reservation application and learn more advanced concepts of Kotlin such as higher order functions, lambda expressions, infix notation, Java interoperability, and many more.

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  • 3 hours
  • English
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Getting Started with Facebook Pixel

Getting Started with Facebook Pixel

In this 1 hour long project, you will create a Facebook Pixel, learn various integration methods, create a custom audience using Facebook Pixel and then learn about creating Facebook ads using the Facebook Pixel.

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  • 3 hours
  • English
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User Experience & Interaction Design for AR/VR/MR/XR

User Experience & Interaction Design for AR/VR/MR/XR

This second course in the XR for Everybody specialization looks at how to design new user experiences for XR technologies. The course provides learners with a design thinking mindset and equips them with a fundamental toolbox for creating XR applications using rapid prototyping. It starts with a broad overview of the complete XR design process, discussing different paths to becoming an XR creator, what is generally involved in making XR experiences, and how to best get started.

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  • 28 hours
  • English
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Measuring Stock Liquidity

Measuring Stock Liquidity

In this 1-hour long project-based course, you will learn how to use Average Daily Traded Volume and Share Turnover to measure liquidity, use Depth of Market (DOM) and Bid-Ask Spread to compare liquidity, and use Variance Ratio to quantify liquidity.

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  • 2 hours
  • English
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Build a Fast Typing Game using Java Swing

Build a Fast Typing Game using Java Swing

By the end of this project, you will create a fully functioning fast typing game using Java Swing in Eclipse.

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  • 2 hours
  • English
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FIFA20 Data Exploration using Python

FIFA20 Data Exploration using Python

By the end of this project, you will learn to use data Exploration techniques in order to uncover some initial patterns, insights and interesting points in your dataset.

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  • 2 hours
  • English
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Structured Query Language (SQL) using SAS

Structured Query Language (SQL) using SAS

Course Description
In this course, you learn about Structured Query Language (SQL) and how it can be used in SAS programs to create reports and query your data.
“By the end of this course, a learner will be able to…”
●\tQuery and subset data.
●\tSummarize and present data.
●\tCombine tables using joins and set operators.
●\tCreate and modify tables and views.
●\tCreate data-driven macro variables using a query.
●\tAccess DBMS data with SAS/ACCESS technology.

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  • 27 hours
  • English
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Marketing Analytics with Meta

Marketing Analytics with Meta

This course explores Meta Marketing Analytics Tools. You'll learn how to create ads using Meta Ads Manager, utilize Meta experiments, optimize ads through A/B testing, integrate data from campaigns and perform an analysis to evaluate the results.
By the end of this course you will be able to:
• Create an ad in Meta Ads Manager
• Evaluate campaign results
• Conduct an A/B Test to compare ad campaigns and see which performs best
• Conduct a Brand Lift test to measure how your ads impact brand awareness or recall

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  • 13 hours
  • English
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Calculus through Data & Modelling: Techniques of Integration

Calculus through Data & Modelling: Techniques of Integration

In this course, we build on previously defined notions of the integral of a single-variable function over an interval. Now, we will extend our understanding of integrals to work with functions of more than one variable. First, we will learn how to integrate a real-valued multivariable function over different regions in the plane. Then, we will introduce vector functions, which assigns a point to a vector. This will prepare us for our final course in the specialization on vector calculus.

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  • 5 hours
  • English
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Aromatherapy: Clinical Use of Essential Oils

Aromatherapy: Clinical Use of Essential Oils

This course provides an overview of essential oil therapy and current aromatherapy practices in clinical settings and gives you the skills to bring aromatherapy into your own practice. By the end of the course, you will be able to: a) explain what essential oils are to a patient and how they work; b) assess if an essential oil might be beneficial to a patient, considering patient preference and the research evidence, as well as any safety issues or contraindications; and c) suggest a protocol for use in a clinical setting.
Continuing Education Credits

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  • 17 hours
  • English
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Arm Cortex-M Processors Overview

Arm Cortex-M Processors Overview

This course is designed for anyone wishing to learn about the range of Cortex-M processors and the different resources that can help you with your Cortex-M project. The course begins with a bit of history about Arm processors and the Arm architecture, covering the differences between the M-profile and other architecture profiles like A-profile and R-profile. This course is suitable for beginners or people without an engineering or computer science background. The introductory material also sets the scene for the courses 2, 3 and 4.

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  • 2 hours
  • English
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Create a Virtual Machine Using AWS EC2

Create a Virtual Machine Using AWS EC2

By the end of this project, you will have successfully set up two virtual machines using Amazon Web Services and tested a Linux-based virtual machine.

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  • 2 hours
  • English
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Supply Chain of Agriculture

Supply Chain of Agriculture

Learners will be introduced to the production and distribution of agricultural commodities and food products. Topics will cover the full range of the agriculture supply chain, from pre-farm to the consumer, to provide students with a better understanding and appreciation for where and how crops and livestock are produced, and the systems used to distribute products to consumers.

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  • 10 hours
  • English
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Comparative Research Designs and Methods

Comparative Research Designs and Methods

Emile Durkheim, one of the founders of modern empirical social science, once stated that the comparative method is the only one that suits the social sciences. But Descartes already had reminded us that “comparaison n’est pas raison”, which means that comparison is not reason (or theory) by itself.

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  • 10 hours
  • English
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Cognitive and Experiential Diversity

Cognitive and Experiential Diversity

"Cognitive and Experiential Diversity" is the second course in the specialization titled "The Journey to Diversity, Inclusion, and Belonging."
This course takes a novel approach to understanding diversity by exploring the nature of cognitive and experiential diversity. Understanding these "invisible" forms of diversity is essential for an organization to thrive, and fostering this diversity among members of an organization will drive innovation and disruption.
Join us on this course to expand and challenge your understanding of diversity.

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  • 9 hours
  • English
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Particle Physics: an Introduction

Particle Physics: an Introduction

This course introduces you to subatomic physics, i.e. the physics of nuclei and particles.
More specifically, the following questions are addressed:
- What are the concepts of particle physics and how are they implemented?
- What are the properties of atomic nuclei and how can one use them?
- How does one accelerate and detect particles and measure their properties?
- What does one learn from particle reactions at high energies and particle decays?
- How do electromagnetic interactions work and how can one use them?

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  • 41 hours
  • English
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Introduction to Deep Learning & Neural Networks with Keras

Introduction to Deep Learning & Neural Networks with Keras

Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.
After completing this course, learners will be able to:
• Describe what a neural network is, what a deep learning model is, and the difference between them.

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  • 8 hours
  • English
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Get Up and Running with TypeScript

Get Up and Running with TypeScript

In this 1.5 hour class you will learn about TypeScript and start writing code that compile to JavaScript.

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  • 3 hours
  • English
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Dart: Introducing Class Abstraction

Dart: Introducing Class Abstraction

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to work with Classes in Dart. Object oriented programming provides an abstraction of code and Dart is perfectly place…

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  • English
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COVID-19 Contact Tracing

COVID-19 Contact Tracing

The COVID-19 crisis has created an unprecedented need for contact tracing across the country, requiring thousands of people to learn key skills quickly. The job qualifications for contact tracing positions differ throughout the country and the world, with some new positions open to individuals with a high school diploma or equivalent.

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  • 7 hours
  • English
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