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Our Courses
Blue Prism Foundation Training
Blue Prism is the global leader in robotic process automation (RPA) and intelligent automation for the enterprise, transforming the way work is done by empowering businesses to automate time-intensive, mundane tasks and to help free-up their employees to be more creative and innovative.
In this course, Blue Prism Foundation Training provides a comprehensive introduction to all of the key concepts and activities associated with configuring a Blue Prism Process Solution.
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Course by
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Self Paced
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20 hours
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English
Armv8-M Architecture Fundamentals
The course includes fundamental architecture topics that are key to understanding how any Cortex-M processor functions internally. The course focuses specifically on the Armv8-M version of the Arm Architecture, which processors like the Cortex-M33 and Cortex-M55 are based on. However, even if you're working with older processors based on earlier versions of the architecture, like Armv6-M or Armv7-M, a lot of the information is mostly still very relevant and useful.
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Course by
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Self Paced
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14 hours
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English
Public Health in Humanitarian Crises 1
This course, Public Health in Humanitarian Crises 1, introduces discussions about the public health approach to problems experienced by people affected by disasters, both natural and related to conflict. The course discusses the many changes which occur in people’s lives when they are uprooted by a disaster, ranging from changes in disease patterns, access to health care, livelihoods, shelter, sanitary conditions, nutritional status, etceteras. We will explore what humanitarian interventions could look like if we want to mitigate the effects of disasters.
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Course by
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Self Paced
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17 hours
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English
C++ Data Structures in the STL
In this project you will read weather data from a file and populate a C++ Vector with the file data.
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Course by
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Self Paced
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3 hours
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English
ML Algorithms
ML Algorithms is the fourth Course in the AWS Certified Machine Learning Specialty specialization. This Course enables learners to deep dive Machine Learning Algorithms. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:00-2:30 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
Module 1: ML Algorithms- Part 1
Module 2: ML Algorithms- Part 2
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Course by
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Self Paced
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5 hours
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English
Meditation: A way to achieve your goals in your life
Do we truly think that we have lived for ourselves? Perhaps we have lived for money, love, fame, family and pride etc.? Therefore, we don’t seem to be satisfied even though we are full of those things. It is because that we don’t know ourselves.
Eric Fromm talked about human nature as two modes of being: “To Have” and “To Be”. If we are “Having” the nature of possessions, we are not satisfied, and feel empty and futile. Then, how can we be “Being” the nature of our inner-selves?
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Course by
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Self Paced
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13 hours
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English
Digital Content Planning and Management
The evolution of digital technology has vastly impacted the way we communicate, live and work. Whether you’re a content creator, a content manager or a brand account manager, digital content management plays a crucial role in an advertising campaign’s success. Learn what it takes to successfully inventory, create, analyze, and manage content for companies of any scale, as well as the process of implementing these systems across organizations.
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Course by
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Self Paced
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13 hours
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English
Sneak Peek: Dartmouth's Digital Transformation Certificate
This course introduces you to Dartmouth’s Digital Transformation Certificate Program.
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Course by
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Self Paced
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10 hours
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English
Coding Interview Preparation
The final course in this program will help prepare you for the unique aspects of a coding job interview, with approaches to problem-solving and computer science foundations needed to land the job. Ultimately you’ll gain strategic insights and tips for successful interviewing.
By the end of this course, you'll have knowledge of:
• Appropriate communication during a coding interview
• Successful interviewing strategies
• Using pseudocode
• The fundamentals of computer science
• The capabilities of data structures and how to implement them
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Course by
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Self Paced
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12 hours
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English
Database Design with SQL Server Management Studio (SSMS)
In this 1-hour 40-minutes long project-based course, you will learn how to design a database system by identifying the entities and their attributes as well as the relations between these entities.
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Course by
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Self Paced
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3 hours
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English
Shared Drives: Getting Started
This is a Google Cloud Self-Paced Lab. Use Team Drives to set up a shared space for teams to store, search, and access files anywhere, from any device. You can complete this lab in 10-15 minutes or use the extra time to explore the features of Team Drives.
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Course by
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Self Paced
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1 hour
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English
Master How to Manage Linux Applications
In this 1-hour long project-based course, you will learn how to Print, manage and kill Linux processes using the terminal, Use job control to postpone the execution of jobs and regain it, and automate the specific script at a specific time using crontab.
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Course by
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Self Paced
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2 hours
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English
Statistical Inference for Estimation in Data Science
This course introduces statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators, method of moments estimation, maximum likelihood estimation, and methods of constructing confidence intervals that will extend to more general settings.
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Course by
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Self Paced
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28 hours
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English
Customer Support digital transformation with HubSpot
In this 1-hour long project-based course, you will learn how to identify the concept of business digital transformation, as well as the different types of business digitization, how to determine the role of customer support in your company and identify the customer support processes, how define Customer Relationship Management (CRM) and interpret the importance of using it in your business context and how to customize your own CRM using the HubSpot CRM tool.
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Course by
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Self Paced
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3 hours
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English
Narrative Economics
Dear Potential Learner,
Please take some time to read through this note before deciding to enroll.
This course, Narrative Economics, is relatively short and proposes a simple concept: we need to incorporate the contagion of narratives into our economic theory. You can think of narratives as stories that shape public beliefs, which in turn influence our decision making. Understanding how people arrived at certain decisions in the past can aid our understanding of the economy today and improve our forecasts of the future.
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Course by
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Self Paced
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6 hours
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English
Work with Components in Figma
Components are popular in engineering and used for building user interfaces and games.
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Course by
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Self Paced
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1 hour
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English
Cloud Computing Law: Data Protection and Cybersecurity
Vast amounts of personal information are processed in the cloud. But who is legally responsible for such ‘personal data’ in cloud environments? What duties do cloud providers like Amazon, Microsoft, and Google have? And what rights can you, as an individual, exercise under data protection law? If you’d like to find out, then this course is for you!
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Course by
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Self Paced
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17 hours
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English
Build a Server Rendered Website with Next.js
By the end of this project, you will use Build a Server Rendered Website with Next.
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Course by
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Self Paced
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3 hours
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English
Introduction to Google Workspace Administration
Introduction to Google Workspace Administration is the first course in the Google Workspace Administration series of courses.
This series will serve as the starting place for any new Google Workspace admin as they begin their journey of managing and establishing Google Workspace best practices for their organization. These courses together will leave you feeling confident to utilize the basic functions of the admin console to manage users, control access to services, configure security settings, and much more.
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Course by
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Self Paced
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5 hours
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English
Medical Diagnosis using Support Vector Machines
In this one hour long project-based course, you will learn the basics of support vector machines using Python and scikit-learn.
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Course by
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Self Paced
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2 hours
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English
Digital Forensics Essentials (DFE)
Digital Forensics Essentials helps learners increase their competency and expertise in digital forensics and information security skills, thereby adding value to their workplace and employer.
This course will introduce learners to Computer Forensics Fundamentals as well as the Computer Forensics Investigation Process. Plan to learn about Dark Web, Windows, Linux, Malware Forensics, and so much more! The interactive labs component of this course ensures that learners receive the hands-on, practical experience required for a future in digital forensics.
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Course by
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Self Paced
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25 hours
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English
Distributed Programming in Java
This course teaches learners (industry professionals and students) the fundamental concepts of Distributed Programming in the context of Java 8. Distributed programming enables developers to use multiple nodes in a data center to increase throughput and/or reduce latency of selected applications.
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Course by
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Self Paced
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18 hours
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English
Communicate UX Research with Empathy Maps in Miro
By the end of this project, you will be able to leverage applied empathy to interpret User Experience research so that it can be effectively communicated within an empathy map visualization.
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Course by
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Self Paced
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2 hours
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English
Analyze Survey Data with Tableau
Surveys are used in a variety of scenarios, both in businesses and in research.
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Course by
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Self Paced
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3 hours
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English
Demand Forecasting Using Time Series
This course is the second in a specialization for Machine Learning for Supply Chain Fundamentals. In this course, we explore all aspects of time series, especially for demand prediction. We'll start by gaining a foothold in the basic concepts surrounding time series, including stationarity, trend (drift), cyclicality, and seasonality. Then, we'll spend some time analyzing correlation methods in relation to time series (autocorrelation). In the 2nd half of the course, we'll focus on methods for demand prediction using time series, such as autoregressive models.
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Course by
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Self Paced
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9 hours
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English