Our Courses

Building Cloud Services with the Java Spring Framework

Building Cloud Services with the Java Spring Framework

This MOOC describes by example how to build cloud services via the use of object-oriented design techniques; Java programming language features; Java Servlets, the Java Spring Framework; and cloud computing platforms, such as Amazon Web Services. Due to the importance of building secure and scalable mobile/cloud platforms, this MOOC will not only show you how to build cloud services, but how to do so securely, scalably, and efficiently.

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  • 14 hours
  • English
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Programming in Python

Programming in Python

In this course, you will be introduced to foundational programming skills with basic Python Syntax. You’ll learn how to use code to solve problems. You’ll dive deep into the Python ecosystem and learn popular modules, libraries and tools for Python.
You’ll also get hands-on with objects, classes and methods in Python, and utilize variables, data types, control flow and loops, functions and data structures. You’ll learn how to recognize and handle errors and you’ll write unit tests for your Python code and practice test-driven development.

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  • 45 hours
  • English
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Understanding the Brain: The Neurobiology of Everyday Life

Understanding the Brain: The Neurobiology of Everyday Life

Learn how the nervous system produces behavior, how we use our brain every day, and how neuroscience can explain the common problems afflicting people today. We will study functional human neuroanatomy and neuronal communication, and then use this information to understand how we perceive the outside world, move our bodies voluntarily, stay alive, and play well with others.

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  • 28 hours
  • English
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Hands-on Introduction to Linux Commands and Shell Scripting

Hands-on Introduction to Linux Commands and Shell Scripting

This course provides a practical understanding of common Linux / UNIX shell commands. In this beginner friendly course, you will learn about the Linux basics, Shell commands, and Bash shell scripting.
You will begin this course with an introduction to Linux and explore the Linux architecture. You will interact with the Linux Terminal, execute commands, navigate directories, edit files, as well as install and update software.

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  • 27 hours
  • English
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Foundations of Project Management

Foundations of Project Management

This course is the first in a series of six to equip you with the skills you need to apply to introductory-level roles in project management. Project managers play a key role in leading, planning and implementing critical projects to help their organizations succeed. In this course, you’ll discover foundational project management terminology and gain a deeper understanding of the role and responsibilities of a project manager. We’ll also introduce you to the kinds of jobs you might pursue after completing this program.

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  • 18 hours
  • English
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Natural Language Processing in TensorFlow

Natural Language Processing in TensorFlow

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

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  • 24 hours
  • English
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Improving your statistical inferences

Improving your statistical inferences

This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power.

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  • 28 hours
  • English
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Foundations of Cybersecurity

Foundations of Cybersecurity

This is the first course in the Google Cybersecurity Certificate. These courses will equip you with the skills you need to prepare for an entry-level cybersecurity job.
In this course, you will be introduced to the world of cybersecurity through an interactive curriculum developed by Google. You will identify significant events that led to the development of the cybersecurity field, explain the importance of cybersecurity in today's business operations, and explore the job responsibilities and skills of an entry-level cybersecurity analyst.

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  • 15 hours
  • English
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Algorithms, Data Collection, and Starting to Code

Algorithms, Data Collection, and Starting to Code

This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you!

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  • 15 hours
  • English
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C for Everyone: Structured Programming

C for Everyone: Structured Programming

In the new world we live in, coding is a universally valuable skill, whether you're a scientist, artist, or a humanist. Algorithms are everywhere, and we all have to understand how they work. The C language is particularly well suited as an introduction to coding: It's a tried-and-true language, and it allows you to understand computing processes at a deep level. You will also get an introduction to more advanced programming in C++ in the final module. \nThis is a continuation of C for Everyone: Fundamentals, which you should take before beginning this course.

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  • 10 hours
  • English
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Securing and Integrating Components of your Application

Securing and Integrating Components of your Application

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 develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways.\n\nCompleting one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java.

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  • 14 hours
  • English
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The Data Scientist's Toolbox

The Data Scientist's Toolbox

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.

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  • 18 hours
  • English
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Teaching EFL/ESL Reading: A Task Based Approach

Teaching EFL/ESL Reading: A Task Based Approach

This course explores ways of teaching reading skills in English as Second and Foreign Language (ESL/EFL) using a task-based approach. You will be introduced to the concept of task and the key principles of task-based language teaching (TBLT) and learning. TBLT uses communicative tasks as the key unit for creating language learning activities. You will also examine the role of reading in real-life and in second and foreign language teaching and current thinking about the interface between TBLT and second language reading.

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  • 23 hours
  • English
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AI For Medical Treatment

AI For Medical Treatment

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine.\n\nMedical treatment may impact patients differently based on their existing health conditions. In this third course, you’ll recommend treatments more suited to individual patients using data from randomized control trials.

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  • 22 hours
  • English
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Custom Models, Layers, and Loss Functions with TensorFlow

Custom Models, Layers, and Loss Functions with TensorFlow

In this course, you will:

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  • 31 hours
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Writing and Editing: Drafting

Writing and Editing: Drafting

This third course in the “Good with Words: Writing and Editing” series will give you a number of strategies to help with what is often the most intimidating, even paralyzing part of the writing process: getting started.
You’ll learn about the “planning fallacy” and “temptation bundling.” You’ll get a chance to experiment with “freewriting” and “writing before you are ready.” And you’ll continue to benefit, through our ongoing “Good Sentences” and “Takeaways” segments, from the models and advice of a diverse set of writers.

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  • 14 hours
  • English
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Prepare Data for Exploration

Prepare Data for Exploration

This is the third course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. As you continue to build on your understanding of the topics from the first two courses, you’ll also be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives and how to organize and protect your data.

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  • 26 hours
  • English
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Functions, Methods, and Interfaces in Go

Functions, Methods, and Interfaces in Go

Continue your exploration of the Go programming language as you learn about functions, methods, and interfaces. Topics include the implementation of functions, function types, object-orientation in Go, methods, and class instantiation. As with the first course in this series, you’ll have an opportunity to create your own Go applications so you can practice what you’re learning.

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  • 8 hours
  • English
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Big Data, Artificial Intelligence, and Ethics

Big Data, Artificial Intelligence, and Ethics

This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it.

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  • 12 hours
  • English
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Build Wireframes and Low-Fidelity Prototypes

Build Wireframes and Low-Fidelity Prototypes

Build Wireframes and Low-Fidelity Prototypes is the third course in a certificate program that will equip you with the skills you need to apply to entry-level jobs in user experience (UX) design. In this course, you’ll continue to design a mobile app for your professional UX portfolio. You’ll start by creating storyboards and getting familiar with the basics of drawing. Then, you'll create paper wireframes and digital wireframes using the design tool Figma. You’ll also create a paper prototype and a digital low-fidelity prototype in Figma.

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  • 41 hours
  • English
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Introduction to Microsoft Azure Cloud Services

Introduction to Microsoft Azure Cloud Services

Whether you're just beginning to work with the cloud or you already have cloud experience and are new to Microsoft Azure, this course provides you with everything you need to get started. It introduces you to Microsoft Azure core concepts and services. You’ll learn the basics of cloud computing, its advantages, and how to choose the right Microsoft Azure solution for different business scenarios. You’ll use the Microsoft Azure portal and a sandbox to create and test Microsoft Azure resources at no cost to you.

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  • 10 hours
  • English
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Data Visualization and Dashboards with Excel and Cognos

Data Visualization and Dashboards with Excel and Cognos

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code.

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  • 24 hours
  • English
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

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  • 18 hours
  • English
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Getting started with TensorFlow 2

Getting started with TensorFlow 2

Welcome to this course on Getting started with TensorFlow 2!
In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models.

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  • 26 hours
  • English
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History of Rock, Part Two

History of Rock, Part Two

This course, part 2 of a 2-course sequence, examines the history of rock, primarily as it unfolded in the United States, from the early 1970s to the early 1990s. This course covers the music of Led Zeppelin, the Allman Brothers, Carole King, Bob Marley, the Sex Pistols, Donna Summer, Michael Jackson, Madonna, Prince, Metallica, Run-DMC, and Nirvana, and many more artists, with an emphasis both on cultural context and on the music itself. We will also explore how developments in the music business and in technology helped shape the ways in which styles developed.

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  • 13 hours
  • English
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