Our Courses

Teach English Now! Technology Enriched Teaching

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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  • 19 hours
  • English
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Natural Language Processing on Google Cloud

Natural Language Processing on Google Cloud

This course introduces the products and solutions to solve NLP problems on Google Cloud.

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  • 13 hours
  • English
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Python Data Analysis

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.

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  • 9 hours
  • English
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Introduction to Computer Vision and Image Processing

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. This is a hands-on course and involves several labs and exercises.

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  • 22 hours
  • English
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Introduction to Cloud Computing

Introduction to Cloud Computing

Start your cloud computing journey with this self-paced introductory course! Whether you need general cloud computing knowledge for school or business, or you are considering a career change, this beginner-friendly course is right for you. In this course you’ll learn about essential characteristics of cloud computing and emerging technologies supported by cloud. You’ll explore cloud service models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Public, Private, and Hybrid deployment models.

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  • 25 hours
  • English
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Healing with the Arts

Healing with the Arts

Through art projects—including visual arts, dance, writing, and music—along with spiritual practices and guided imagery, Healing With the Arts gives you the tools to heal what you need to heal in your life: physical, mental, emotional, and spiritual.

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  • 13 hours
  • English
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Recommendation Systems on Google Cloud

Recommendation Systems on Google Cloud

In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

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  • 15 hours
  • English
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Hardware Security

Hardware Security

In this course, we will study security and trust from the hardware perspective. Upon completing the course, students will understand the vulnerabilities in current digital system design flow and the physical attacks to these systems. They will learn that security starts from hardware design and be familiar with the tools and skills to build secure and trusted hardware.

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  • 12 hours
  • English
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Blockchain and Cryptocurrency Explained

Blockchain and Cryptocurrency Explained

The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment.

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  • 9 hours
  • English
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Bookkeeping Basics

Bookkeeping Basics

This is the first course in a series of four that will give you the skills needed to start your career in bookkeeping. If you have a passion for helping clients solve problems, this course is for you. In this course, you will be introduced to the role of a bookkeeper and learn what bookkeeping professionals do every day. You will dive into the accounting concepts and terms that will provide the foundation for the next three courses.

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  • 16 hours
  • English
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DevOps Culture and Mindset

DevOps Culture and Mindset

This course gives you the basic foundational principles of DevOps with a particular focus on culture and the DevOps mindset. We’ll learn about how DevOps is grounded in lean principles, and how it can help improve collaboration between developers and operations team members. We'll learn about ideas regarding systems thinking, feedback loops, continuous improvement, loosely coupled architecture and teams, managing risk, and dealing with unplanned work.

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  • 15 hours
  • English
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English for Journalism

English for Journalism

Welcome to English for Journalism, 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 developing the skills needed for a career in modern journalism.

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  • 43 hours
  • English
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Architecting with Google Kubernetes Engine: Workloads

Architecting with Google Kubernetes Engine: Workloads

In "Architecting with Google Kubernetes Engine: Workloads," you'll embark on a comprehensive journey into cloud-native application development. Throughout the learning experience, you'll explore Kubernetes operations, deployment management, GKE networking, and persistent storage. This is the first course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Production course."

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  • 16 hours
  • English
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Getting Started With Application Development

Getting Started With Application Development

In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.

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  • 13 hours
  • English
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Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital

Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital

Hi and welcome to this course! Would you like to learn about the latest valuation methods that may help you to make better business decisions? Then 'Advanced Valuation and Strategy – M&A, Private Equity, and Venture Capital' by Erasmus University Rotterdam is the right course for you! This course is helpful for executives that need to value complete strategies and for all students interested in corporate finance and strategy.

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  • 16 hours
  • English
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Fixing Healthcare Delivery 2.0: Advanced Lean

Fixing Healthcare Delivery 2.0: Advanced Lean

Lean or Toyota Production System (TPS) is responsible for revolutionizing the auto industry by creating highly reliable and safe cars and trucks. In this course healthcare providers, administrators, engineers, and healthcare professional students will be taught how to apply the principles and tools of Lean to health care.

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  • 17 hours
  • English
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Machine Learning in the Enterprise

Machine Learning in the Enterprise

This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing. The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.

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  • 20 hours
  • English
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Advanced System Security Topics

Advanced System Security Topics

In this MOOC, we learn RBAC and ABAC access control to facilitate the specification and management of access policies. We learn examples of how RBAC is supported by modern systems such as Docker and AWS IAM. We learn XACML 3.0 and an ABAC implementation for controling secure access to web documents and network resources with attribute certificates, and XACML architecture components. We show how to exhance the data security with GeoEncryption, Secure Enhanced Geolocking, and R2D2 concepts which deliver data to right places via right path.

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  • 15 hours
  • English
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Interviewing, Negotiating a Job Offer, and Career Planning

Interviewing, Negotiating a Job Offer, and Career Planning

Prepare yourself for interviewing and landing a job in the DS/AI field. In this course, we will discuss what needs to be done before, during, and after the interview process. We will also provide tips and tricks on how to practice for a major component of data science interviews: the technical interview.

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  • 14 hours
  • English
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UX Design: From Concept to Prototype

UX Design: From Concept to Prototype

Great design doesn’t come out of nowhere; it is born, nurtured, and grown--all through a systematic, learnable process. In this UX course, you will explore the process of taking a basic concept, grounded in user needs, and developing it into a design that will address those needs. In the course, you will gain hands-on experience with techniques such as sketching, scenario development, storyboarding, and wireframing that will help you transform your understanding of what your users need into a compelling user experience.

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  • 15 hours
  • English
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Building a Data Science Team

Building a Data Science Team

Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team. Our goal was to make this as convenient as possible for you without sacrificing any essential content.

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  • 6 hours
  • English
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Practical Machine Learning on H2O

Practical Machine Learning on H2O

In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms. You will also be able to evaluate your models and choose the best model to suit not just your data but the other business restraints you may be under.

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  • 24 hours
  • English
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Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

In this project-centered course you will build a modern software hierarchy, designed to enable the translation and execution of object-based, high-level languages on a bare-bone computer hardware platform. In particular, you will implement a virtual machine and a compiler for a simple, Java-like programming language, and you will develop a basic operating system that closes gaps between the high-level language and the underlying hardware platform. In the process, you will gain a deep, hands-on understanding of numerous topics in applied computer science, e.g.

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  • 90 hours
  • English
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Solving Algorithms for Discrete Optimization

Solving Algorithms for Discrete Optimization

Discrete Optimization aims to make good decisions when we have many possibilities to choose from. Its applications are ubiquitous throughout our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions on the use of scarce or expensive resources such as staffing and material resources also allow corporations to improve their profit by millions of dollars.

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  • 22 hours
  • English
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Excel/VBA for Creative Problem Solving, Part 2

Excel/VBA for Creative Problem Solving, Part 2

"Excel/VBA for Creative Problem Solving, Part 2" builds off of knowledge and skills obtained in "Excel/VBA for Creative Problem Solving, Part 1" and is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA). In Part 2 of the course, learners will: 1) learn how to work with arrays and import/export arrays from/to Excel using VBA code; 2) learn how to work with text strings and write data to

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  • 21 hours
  • English
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