About this course

This course, part of the Cloud Computing MicroMasters program, focuses on components of Infrastructure as a Service (IaaS) cloud service model. These components include: compute, storage, network, and auxiliary services. The class will also discuss most popular cloud IaaS deployment architectures.

You will examine these IaaS issues in depth, and then apply the acquired knowledge in 2 lab projects to migrate a website to the Amazon Web Services (AWS) IaaS environment, deploy the necessary infrastructure, install and configure the web server, set up the website, and monitor the deployment in action.

Students get up to $600 AWS credits for the entire program.

Verified students receive $100 AWS educate starter account credit, when they sign up. Students who complete and use up their $100 will receive additional credits after completing the course. See Frequently Asked Questions below for further information.

This course is part of the Cloud Computing MicroMaster’s program from UMGC. Upon completion of the program and receipt of the verified MicroMaster’s certificate, learners may then transition into the full UMGC Master’s Program in Cloud Computing Architecture. See the MicroMasters program page for more.

What you’ll learn

  • Cloud service models
  • Compute, storage, network, and auxiliary services in IaaS offerings
  • Typical Iaas deployment architectures
  • Deploying, configuring, and monitoring a website in AWS

Meet your instructors

Patrick Appiah-Kubi

Patrick is the Program Director of Cloud Computing and Networking at University of Maryland Global Campus. He has over 13 years on industry and teaching experience in networks and cloud computing.

Charif El MaMouni

Charif El MaMouni is a Cloud Computing professional with more than fifteen years experience in the Telecommunications and Finance industries with solid technical background in SDLC applied to DevOps, Automation and CICD, coupled with in-depth knowledge of public and private Cloud Infrastructure Architectures and Implementations. He holds a Master of Science in Computer Engineering from the University of Central Florida in addition to AWS Certified Solution Architect, DevOps Architect and PMP.

Frequently asked questions

How long does a student have to apply to and complete the full UMGC degree?

To ensure that your program remains relevant and up-to-date, UMGC sets time limits for completing a program. Students have five (5) consecutive years from the start of the graduate degree to complete their degree. For students who start with a MicroMasters, their “time clock” begins on the date that they complete their last course in the MicroMasters program and receive their Verified Certificate. This means that students should apply to UMGC promptly to begin the degree and have as much time as possible to complete it.

AWS Educate

$25 AWS promotional credit for all students; additional $100 AWS promotional credit for students who purchase a Verified Certificate and pass the course IT Fundamentals for Business Professionals: Enterprise Systems.

Is this offer just for students who purchase a Verified Certificate? 

No, all students are eligible for the $25 promotional AWS credit in IT Fundamentals for Business Professionals: Enterprise Systems. If you purchase a Verified Certificate you will receive an additional $100 promotional AWS credit upon successfully passing the course.

How do I receive my AWS promotional credit? 

To take advantage of this benefit, you must first create an AWS Educate account by clicking on the link located in lesson 3 before the exams. Once registered, you will be provided with a $25 promotional credit code.

What is the AWS exercise? 

This optional activity, which does not count towards the course’s final grade, will introduce you to the world of cloud computing through the creation of a WordPress site on a cloud-based web server.

If I don’t finish the course do I get to keep the AWS promotional credit? 

Yes.

How do I receive my $100 AWS promotional credit? 

Learners in the verified track who pass the course will receive an additional $100 in AWS Promotional Credit. This extra credit can be accessed through a link that will appear in the course after the subsection of the final exam.

If I am having issues accessing the AWS promotional credits, whom do I contact? 

Please contact AWS Educate at the following link: https://aws.amazon.com/education/awseducate/contact-us/. Should there be any issues with the course itself or with the AWS exercise, contact the course team via the course discussion forum.

Are there any geography restrictions for this offer? 

No.

Can I use the credits on anything? 

The credits can be used for most AWS services, but there are some exclusions. See https://aws.amazon.com/awscredits/ for restrictions and limitations.

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

About MIT horizon

MIT Horizon is an expansive content library built to help you explore emerging technologies. Through easy-to-understand lessons, you’ll be guided through the complexities of the latest technologies and simplified expert-level concepts. Designed for both technical and non-technical learners, you can examine bite-size content that can lead to maximum career outcomes.

For a limited time, gain access to the complete MIT Horizon library.

Register today for exclusive entry.

About this course

In this course, you will learn about the general information security risk management framework and its practices and how to identify and model information security risks and apply both qualitative and quantitative risk assessment methods. Understanding this framework will enable you to articulate the business consequences of identified information security risks. These skills are essential for any successful information security professional.

The goal of this course is to teach students the risk management framework with both qualitative and quantitative assessment methods that concentrate on the information security (IS) aspect of IT risks. The relationship between the IT risk and business value will be discussed through several industry case studies.

First, you will learn about the principles of risk management and its three key elements: risk analysis, risk assessment and risk mitigation. You will learn to identify information security related threats, vulnerability, determine the risk level, define controls and safeguards, and conduct cost-benefit analysis or business impact analysis.

Second, we will introduce the qualitative and quantitative frameworks and discuss the differences between these two frameworks. You will learn the details of how to apply these frameworks in assessing information security risk.

Third, we will extend the quantitative framework with data mining and machine learning approaches that are applicable for data-driven risk analytics. You will explore the intersection of information security, big data and artificial intelligence.

Finally, you will analyze a series of extended case studies, which will help you to comprehend and generalize the principles, frameworks and analytical methods in actual examples.

This offering is part of the RITx Cybersecurity MicroMasters Program that prepares students to enter and advance in the field of computing security.

What you will learn

  • Information security risk management framework and methodologies
  • Identifying and modeling information security risks
  • Qualitative and quantitative risk assessment methods
  • Articulating information security risks as business consequences

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

Course requirements

Successful completion of Cybersecurity Fundamentals

Meet your instructor

Tong Sun - Pearson Advance

Tong Sun

Adjunct Professor, Computing Security at RIT

Dr. Tong Sun is an adjunct professor at Department of Computer Science, Rochester Institute of Technology. She is leading data analytics research lab at PARC, Xerox Company. She received her Ph.D. in Electrical & Computer Engineering from University of Rhode Island, MS in Artificial Intelligence from Huazhong University of Science and Technology in China.

About MIT horizon

MIT Horizon is an expansive content library built to help you explore emerging technologies. Through easy-to-understand lessons, you’ll be guided through the complexities of the latest technologies and simplified expert-level concepts. Designed for both technical and non-technical learners, you can examine bite-size content that can lead to maximum career outcomes.

For a limited time, gain access to the complete MIT Horizon library.

Register today for exclusive entry.

About this course

In this introduction to the field of computing security, you will be given an extensive overview of the various branches of computing security. You will learn cybersecurity concepts, issues, and tools that are critical in solving problems in the computing security domain.

You will have opportunities to learn essential techniques in protecting systems and network infrastructures, analyzing and monitoring potential threats and attacks, devising and implementing security solutions for organizations large or small.

This offering is part of the RITx Cybersecurity MicroMasters® Program that prepares students to enter and advance in the field of computing security.

What you will learn

  • Network and system administration fundamentals
  • Information assurance fundamentals such as confidentiality, integrity and availability, etc.
  • Basic cryptography concepts

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all our courses to everyone, no matter where they live.

Meet your instructor

https://twitter.com/cscprof

Jonathan S. Weissman

Senior Lecturer, Computing Security at Rochester Institute of Technology

Jonathan S. Weissman is a senior lecturer in the Department of Computing Security at Rochester Institute of Technology, where he was awarded the RIT Outstanding Teaching Award in 2014, the RIT GCCIS Outstanding Educator Award in 2018, and the RIT Distinguished Teacher Recognition Program Honors in 2019. He was also awarded the RIT Disability Services Office Kudos in 2014 and the RIT GCCIS Parking Pass for March 2018. In total, he's the recipient of 8 teaching honors and awards.

About MIT horizon

MIT Horizon is an expansive content library built to help you explore emerging technologies. Through easy-to-understand lessons, you’ll be guided through the complexities of the latest technologies and simplified expert-level concepts. Designed for both technical and non-technical learners, you can examine bite-size content that can lead to maximum career outcomes.

For a limited time, gain access to the complete MIT Horizon library.

Register today for exclusive entry.

What is a bootcamp?

Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:

  • Live kick-off event
  • Instructor facilitated Q&A for expert feedback and coaching
  • Learner Success Support: welcome call, advising sessions, personalized pace reminders
  • 24/7 help desk

About This Course:

In this bootcamp you will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.

This course can be used towards completion of a Professional Certificate in Data Science for Executives.

What You Will Learn:

  • Data collection, analysis and inference
  • Data classification to identify key traits and customers
  • Conditional Probability-How to judge the probability of an event, based on certain conditions
  • How to use Bayesian modeling and inference for forecasting and studying public opinion
  • Basics of Linear Regression
  • Data Visualization: How to create use data to create compelling graphics

Meet Your Instructors:

Andrew Gelman

Andrew Gelman is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University. He has received the Outstanding Statistical Application award from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40. Andrew has done research on a wide range of topics, including: why it is rational to vote; why campaign polls are so variable when elections are so predictable; why redistricting is good for democracy; reversals of death sentences; police stops in New York City, the statistical challenges of estimating small effects; the probability that your vote will be decisive; seats and votes in Congress; social network structure; arsenic in Bangladesh; radon in your basement; toxicology; medical imaging; and methods in surveys, experimental design, statistical inference, computation, and graphics.
David Madigan - Pearson Advance

David Madigan

David Madigan received a bachelor’s degree in Mathematical Sciences and a Ph.D. in Statistics, both from Trinity College Dublin. He has previously worked for AT&T Inc., Soliloquy Inc., the University of Washington, Rutgers University, and SkillSoft, Inc. He has over 100 publications in such areas as Bayesian statistics, text mining, Monte Carlo methods, pharmacovigilance and probabilistic graphical models. He is an elected Fellow of the American Statistical Association and of the Institute of Mathematical Statistics. He recently completed a term as Editor-in-Chief of Statistical Science.

Lauren Hannah

Lauren Hannah is an Assistant Professor in the Department of Statistics at Columbia University. Dr. Hannah received a Ph.D. in Operations Research and Financial Engineering from Princeton University, and an A.B. in Classics, again from Princeton University. After completing her Ph.D., Dr. Hannah completed a postdoc at Duke in the Statistical Science Department. Her interests include machine learning, Bayesian statistics, and energy applications.

Eva Ascarza

Eva Ascarza is an Assistant Professor of Marketing at Columbia Business School. She is a marketing modeler who uses tools from statistics and economics to answer marketing questions. Her main research areas are customer analytics and pricing in the context of subscription businesses. She specializes in understanding and predicting changes in customer behavior, such as customer retention and usage. Another stream of her research focuses on developing statistical methodologies to be used by marketing practitioners. She received her PhD from London Business School (UK) and a MS in Economics and Finance from Universidad de Navarra (Spain).

What is a bootcamp?

Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:

  • Live kick-off event
  • Instructor facilitated Q&A for expert feedback and coaching
  • Learner Success Support: welcome call, advising sessions, personalized pace reminders
  • 24/7 help desk

About This Course:

This bootcamp has a focus on learning the most commonly used project management methodologies in the IT field, and why they are effective. This bootcamp introduces you to project management standards and frameworks that increase efficiency and deliver tangible business benefits to IT projects.

Topics include:

  • Relationships among projects, programs and portfolios
  • Organizational culture and project management roles
  • Project management methods and lifecycles and their applications

This course can be used towards completion of a Professional Certificate in IT Project Management.

What You Will Learn:

By the end of this course, you will be able to:

  • Explain why organizations use project management to deliver business value
  • Describe the relationships among projects, programs and portfolios
  • Define the differences between predictive, iterative and Agile-based lifecycles
  • Analyze different project management roles – project manager, sponsor, stakeholder, ScrumMaster, product owner and developer
  • Understand how organizational culture can influence the role of the project manager

Meet Your Instructor:

Debra Hildebrand

Instructor of Project Management at University of Washington
Debra Hildebrand has over 15 years’ experience in project management consulting and training for private firms and public agencies (federal, state and local level). Her specialties include strategic planning and implementation, organizational redesign and restructure, project management, and quality assurance oversight. Certified as a Project Management Professional (PMP) by the Project Management Institute, Debra is an instructor at the University of Washington, Stanford University, and City University of Seattle. She has an MBA from the Columbia Business School and is the principal of Hildebrand Solutions, a project management training and consultation firm.

What is a Bootcamp?

Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:

  • Live kick-off event
  • Instructor facilitated Q&A for expert feedback and coaching
  • Learner Success Support: welcome call, advising sessions, personalized pace reminders
  • 24/7 help desk

About This Course:

In this bootcamp we start by learning the key project management processes, roles, mechanics, and philosophies behind Scrum. This will provide the basis for all understanding Agile in its purest form, exploring Why, Who, How, and finally What Scrum looks like applied in the real world. From understanding the agile team members, like scrum master and product owner, to the important differences in lean and agile processes

Scrum and Agile are often considered synonymous, and there is a good reason. Scrum embodies the simplest and most pure approach to managing project work at the team level. Scrum is employed by over half of all Agile practitioners across all industries. While agile may have started in software development, many industries now use an agile methodology to deliver their work. Development teams around the world are now using Kanban boards and assigning strong product owners to direct self-organizing teams to deliver on prioritized product backlogs. And nearly every new product has some sort of IT component and goes through an agile development lifecycle.

  • Today nearly 100% of IT organizations use Agile and many other industries are quickly following
  • The likelihood of being on a Scrum or Scrum-like project is quickly approaching 50/50 or better over time.

While this course will not make you an agile certified practitioner (PMI-ACP), or certified scrum master (CSM), it offers a more fundamental agile certification based on agile principles and how scaled agile is applied in industry today.

Upon successful completion of this course, learners can earn 10 Professional Development Unit (PDU) credits, which are recognized by the Project Management Institute (PMI). PDU credits are essential to those looking to maintain certification as a Project Management Professional (PMP).

This course can be used towards completion of a Professional Certificate in Agile Project Management.

What You Will Learn:

  • Why Agile is taking over: history, case studies, and proof Agile works better
  • Who uses Agile based on industry scale, stakeholders, and engineering
  • How to run a successful Scrum team for speed, innovation, leadership, and control
  • Scrum team makeup, user story writing, sprint planning, execution, and retro tools
  • What Scrum looks like at scale, its alternatives, and how to avoid pitfalls over time

Meet Your Instructor:

John Johnson

Adjunct Professor, Clarke School of Engineering, College Park; Chief Technology Officer, Softek Enterprises LLC at
Mr. Johnson, serves as the Chief Technology Officer for Softek Enterprises LLC, a minority-owned small business providing technology solutions to government clients since 2007. Softek specializes in evolving business systems using Agile, DevOps, and Cloud technologies to deliver working solutions faster for the government’s most critical IT challenges. He has 10 years of project management, systems engineering, and advanced analytics experience. Prior to joining Softek, Mr. Johnson co-founded Second Nature Software LLC, a data science products company focused on Life Science Research. He helped design and promote their product “Rocketfish,” a data management tool that simplifies preparing data for analysis while automating data tracking and organization. Rocketfish is currently in an organization-wide trial at NCI and NIAID, as well as major universities in the DC Metro Area. Previously, Mr. Johnson was a Senior Agile Project Manager with IBM, where he led multiple development teams building applications for the National Archives Records Administration (NARA). These applications were built on Amazon’s Gov Cloud (AWS) with cutting-edge cloud technologies to process, store, and search the hundreds of petabytes of government records expected at NARA by 2020. This project won “Project of the Year” across all of IBM globally for its success in project management innovation. He also worked as a Management Consultant with Booz Allen Hamilton, where he led projects for the Marine Corps, Air Force, and Navy from optimizing site investments and posture for Reserve forces, to developing award-winning project analysis and portfolio management software to optimize billions in shore energy investments. Mr. Johnson holds a Masters in Systems Engineering and a B.S. in Civil Engineering from the University of Maryland.

What is a Bootcamp?

Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:

  • Live kick-off event
  • Instructor facilitated Q&A for expert feedback and coaching
  • Learner Success Support: welcome call, advising sessions, personalized pace reminders
  • 24/7 help desk

About This Course:

This bootcamp covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and ggplot2; a data visualization package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.

We’ll also be looking at how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care.

The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualization particularly important. The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas. Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws.

This course can be used towards completion of a Professional Certificate in Data Science.

What You Will Learn:

  • Data visualization principles
  • How to communicate data-driven findings
  • How to use ggplot2 to create custom plots
  • The weaknesses of several widely used plots and why you should avoid them

Meet Your Instructors:

Rafael Irizarry

Professor of Biostatistics at Harvard University
Rafael Irizarry is a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and a Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute. For the past 15 years, Dr. Irizarry’s research has focused on the analysis of genomics data. During this time, he has also has taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data. His publications related to these topics have been highly cited and his software implementations widely downloaded.

Leonardo Palomera

Leonardo Palomera, through his professional and academic experiences, has become a specialist in data analytics for a variety of subjects including education, statistics, economics, and finance. Currently Leonardo works as a Data Scientist with Pearson Advance to support our goal of personalizing support that leads to high course completion rates. Additionally, Leonardo has held teaching positions at University of Southern California (USC), University of California, Los Angeles (UCLA), University of Colorado, Boulder, University of Denver, and California State University, Long Beach (CSULB). His goal is to empower students to gain the knowledge and skills they need to conduct robust analytics on a host of real-world problems.

Frequently Asked Questions:

Honor code statement
HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

Research statement
By registering as an online learner in our open online courses, you are also participating in research intended to enhance HarvardX’s instructional offerings as well as the quality of learning and related sciences worldwide. In the interest of research, you may be exposed to some variations in the course materials. HarvardX does not use learner data for any purpose beyond the University’s stated missions of education and research. For purposes of research, we may share information we collect from online learning activities, including Personally Identifiable Information, with researchers beyond Harvard. However, your Personally Identifiable Information will only be shared as permitted by applicable law, will be limited to what is necessary to perform the research, and will be subject to an agreement to protect the data. We may also share with the public or third parties aggregated information that does not personally identify you. Similarly, any research findings will be reported at the aggregate level and will not expose your personal identity.

Please read the edX Privacy Policy for more information regarding the processing, transmission, and use of data collected through the edX platform.

Nondiscrimination/anti-harassment statement
Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

What is a Bootcamp?

Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:

  • Live kick-off event
  • Instructor facilitated Q&A for expert feedback and coaching
  • Learner Success Support: welcome call, advising sessions, personalized pace reminders
  • 24/7 help desk

About This Course:

Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python bootcamp will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python.

Upon its completion, you’ll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment.

You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.

What You Will Learn:

  • What Python is and why it is useful
  • The application of Python to Data Science
  • How to define variables in Python
  • Sets and conditional statements in Python
  • The purpose of having functions in Python
  • How to operate on files to read and write data in Python
  • How to use pandas, a must have package for anyone attempting data analysis in Python.

Meet Your Instructor:

Joseph Santarcangelo

PhD., Data Scientist at IBM

Joseph Santarcangelo is currently working as a Data Scientist at IBM. Joseph has a Ph.D. in Electrical Engineering. His research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition.

What is a Bootcamp?

Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:

  • Live kick-off event
  • Instructor facilitated Q&A for expert feedback and coaching
  • Learner Success Support: welcome call, advising sessions, personalized pace reminders
  • 24/7 help desk

About This Course:

This bootcamp will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.

We’ll cover R’s functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data.

We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.

This course can be used towards completion of a Professional Certificate in Data Science .

What You Will Learn:

  • Basic R syntax
  • Foundational R programming concepts such as data types, vectors arithmetic, and indexing
  • How to perform operations in R including sorting, data wrangling using dplyr, and making plots

Meet Your Instructors:

Rafael Irizarry

Professor of Biostatistics at Harvard University
Rafael Irizarry is a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and a Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute. For the past 15 years, Dr. Irizarry’s research has focused on the analysis of genomics data. During this time, he has also has taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data. His publications related to these topics have been highly cited and his software implementations widely downloaded.

Leonardo Palomera

Leonardo Palomera, through his professional and academic experiences, has become a specialist in data analytics for a variety of subjects including education, statistics, economics, and finance. Currently Leonardo works as a Data Scientist with Pearson Advance to support our goal of personalizing support that leads to high course completion rates. Additionally, Leonardo has held teaching positions at University of Southern California (USC), University of California, Los Angeles (UCLA), University of Colorado, Boulder, University of Denver, and California State University, Long Beach (CSULB). His goal is to empower students to gain the knowledge and skills they need to conduct robust analytics on a host of real-world problems.

Frequently Asked Questions:

Honor code statement
HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

Research statement
By registering as an online learner in our open online courses, you are also participating in research intended to enhance HarvardX’s instructional offerings as well as the quality of learning and related sciences worldwide. In the interest of research, you may be exposed to some variations in the course materials. HarvardX does not use learner data for any purpose beyond the University’s stated missions of education and research. For purposes of research, we may share information we collect from online learning activities, including Personally Identifiable Information, with researchers beyond Harvard. However, your Personally Identifiable Information will only be shared as permitted by applicable law, will be limited to what is necessary to perform the research, and will be subject to an agreement to protect the data. We may also share with the public or third parties aggregated information that does not personally identify you. Similarly, any research findings will be reported at the aggregate level and will not expose your personal identity.

Please read the edX Privacy Policy for more information regarding the processing, transmission, and use of data collected through the edX platform.

Nondiscrimination/anti-harassment statement
Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

About This Course:

This course, part of the Cloud Computing MicroMasters program, focuses on components of Infrastructure as a Service (IaaS) cloud service model. These components include: compute, storage, network, and auxiliary services. The class will also discuss most popular cloud IaaS deployment architectures.

You will examine these IaaS issues in depth, and then apply the acquired knowledge in 2 lab projects to migrate a website to the Amazon Web Services (AWS) IaaS environment, deploy the necessary infrastructure, install and configure the web server, set up the website, and monitor the deployment in action.

Students get up to $600 AWS credits for the entire program.

Verified students receive $100 AWS educate starter account credit, when they sign up. Students who complete and use up their $100 will receive additional credits after completing the course. See Frequently Asked Questions below for further information.

This course is part of the Cloud Computing MicroMaster’s program from UMGC. Upon completion of the program and receipt of the verified MicroMaster’s certificate, learners may then transition into the full UMGC Master’s Program in Cloud Computing Architecture. See the MicroMasters program page for more.

What You’ll Learn:

  • Cloud service models
  • Compute, storage, network, and auxiliary services in IaaS offerings
  • Typical Iaas deployment architectures
  • Deploying, configuring, and monitoring a website in AWS

Meet Your Instructors:

Patrick Appiah-Kubi

Patrick is the Program Director of Cloud Computing and Networking at University of Maryland Global Campus. He has over 13 years on industry and teaching experience in networks and cloud computing.

Charif El MaMouni

Charif El MaMouni is a Cloud Computing professional with more than fifteen years experience in the Telecommunications and Finance industries with solid technical background in SDLC applied to DevOps, Automation and CICD, coupled with in-depth knowledge of public and private Cloud Infrastructure Architectures and Implementations. He holds a Master of Science in Computer Engineering from the University of Central Florida in addition to AWS Certified Solution Architect, DevOps Architect and PMP.

Frequently Asked Questions:

How long does a student have to apply to and complete the full UMGC degree?

To ensure that your program remains relevant and up-to-date, UMGC sets time limits for completing a program. Students have five (5) consecutive years from the start of the graduate degree to complete their degree. For students who start with a MicroMasters, their “time clock” begins on the date that they complete their last course in the MicroMasters program and receive their Verified Certificate. This means that students should apply to UMGC promptly to begin the degree and have as much time as possible to complete it.

AWS Educate

$25 AWS promotional credit for all students; additional $100 AWS promotional credit for students who purchase a Verified Certificate and pass the course IT Fundamentals for Business Professionals: Enterprise Systems.

Is this offer just for students who purchase a Verified Certificate? 

No, all students are eligible for the $25 promotional AWS credit in IT Fundamentals for Business Professionals: Enterprise Systems. If you purchase a Verified Certificate you will receive an additional $100 promotional AWS credit upon successfully passing the course.

How do I receive my AWS promotional credit? 

To take advantage of this benefit, you must first create an AWS Educate account by clicking on the link located in lesson 3 before the exams. Once registered, you will be provided with a $25 promotional credit code.

What is the AWS exercise? 

This optional activity, which does not count towards the course’s final grade, will introduce you to the world of cloud computing through the creation of a WordPress site on a cloud-based web server.

If I don’t finish the course do I get to keep the AWS promotional credit? 

Yes.

How do I receive my $100 AWS promotional credit? 

Learners in the verified track who pass the course will receive an additional $100 in AWS Promotional Credit. This extra credit can be accessed through a link that will appear in the course after the subsection of the final exam.

If I am having issues accessing the AWS promotional credits, whom do I contact? 

Please contact AWS Educate at the following link: https://aws.amazon.com/education/awseducate/contact-us/. Should there be any issues with the course itself or with the AWS exercise, contact the course team via the course discussion forum.

Are there any geography restrictions for this offer? 

No.

Can I use the credits on anything? 

The credits can be used for most AWS services, but there are some exclusions. See https://aws.amazon.com/awscredits/ for restrictions and limitations.

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.