Course: Disruptive Technologies

Machine learning (ML) is a type of artificial intelligence that's having a profound impact on computing and its uses. Machine learning in business can provide your organization with a competitive edge, now that the use of analytics has become more prevalent. It has the power to transform the ways businesses operate. But often, organizations aren't clear how they can leverage it to help achieve their goals. In this course, you'll learn what machine learning is, its potential benefits, and associated considerations. You'll also learn high-level steps your organization can take to identify opportunities for machine learning, determine their feasibility, and implement machine learning solutions.

Artificial Intelligence (AI) is the most important general-purpose technology of the 21st century. Much like electricity at the turn of the 20th century, it has the potential to transform the way businesses and industries operate. This course will help you grasp AI's potential so you can transform your business. You'll learn about AI in business. You'll examine common cognitive technologies that utilize AI, the effects of its applications in the workplace, and what to consider when identifying AI opportunities and benefits for your business. You'll also learn about some of the ethical considerations, challenges, and risks associated with adopting AI.

The Internet of Things (IoT) promises to revolutionize the way businesses provide value to their customers. It allows objects to be sensed and controlled remotely across an existing network infrastructure. In this course, you will learn about IoT in business, its applications, and its challenges. You will also explore how it can help you transform information into value, generate revenue, and better connect with your customers. And you'll explore its application to customers, organizations, and everyday life.

With current advances in technology, robots are no longer science fiction. They might well be your coworkers! Robots, whether physical or RPA (robotic process automation) software, are fast becoming an integral part of the workplace. Robots and employees need to work well together to succeed. In this course, you'll learn about the characteristics of both physical and software robots. You'll explore how to distinguish between them and how they are being integrated in the workplace. You'll also learn best practices for implementing and managing robots. And you'll learn the considerations for using physical robots and software robots in the workplace and how to optimize the human-robot relationship.

Additive manufacturing, also known as 3D printing, is a revolutionary set of manufacturing technologies. Properly understood and applied, it may have significant benefits for companies and their customers. Incorporating additive manufacturing can revolutionize a company's productivity. In this course, you'll learn about the characteristics of additive manufacturing, including the seven main techniques for using it, its advantages, and its associated challenges. You'll also get an understanding of the common applications and techniques of additive manufacturing. And case studies will illustrate the various benefits it provides.

Just as the Internet revolutionized the way companies do business, digital innovation and blockchain technology are redefining transactions. In fact, blockchain has the potential to provide its own far-reaching business revolution. Perhaps the best-known application of blockchain is bitcoin. But blockchain is much more than that! In this course, you'll learn about blockchain technology, how it changes the way business transactions take place, and the differences between public and private versions. You'll also learn about smart contracts, and how they enable innovation, as well as the key challenges that blockchain technology currently faces. And you'll learn about the trust paradigm and how it's being used in business today.

Virtual reality (VR) isn't new, so why all the attention now? Major strides in artificial intelligence and the 3D environment have brought VR renewed attention. In this course, you'll learn about the characteristics of VR and the broad range of uses for VR in the business cyberspace. You'll explore the factors affecting a VR participant's sense of presence and how to distinguish between different levels of the immersive environment. Finally, you'll learn about the equipment typically used for both mobile and high-powered VR experiences.

When used effectively, augmented reality, or AR, can transform everything from how an organization trains its workforce to the kind of experience it offers to its customers, and in the process, can improve the bottom line. In this course, you'll learn about the characteristics, technical components, and different types of augmented reality. You'll explore the benefits and best practices for using AR to increase business value and identify key considerations when planning AR implementations. Finally, you'll learn to recognize current trends in AR that may yield new opportunities for your organization.

With the use of artificial intelligence and smart devices on the rise, business networks are strained under the heavy load of data. Edge computing seeks to move data processing, collection, and delivery closer to the end user - to the so-called edge of the network. Edge data and local processing are fast becoming standard features in modern business networks. Edge computing can reduce costs and latency issues, improve data management and data warehousing, and enhance business continuity. In this course, you'll learn about the benefits and challenges of edge computing. You'll also learn how to properly utilize a data warehouse and plan for implementing it into your business operation. And you'll examine the considerations and best practices for implementing and utilizing edge computing in your organization.

Virtual assistants are an expanding technology that can enable artificial intelligence to assist your workforce. However, many companies have yet to realize the full potential this technology has for improving growth and competitive advantage. Virtual assistant technology can help position your organization for smart growth and future-proofing strategies that will allow it to flourish in the digital marketplace. This course covers benefits, best practice, and trends in virtual assistant technology.

• Data science methods are used across several industries to

• deliver value to businesses. Machine learning (ML) is a data
• science method that uses prediction algorithms that find patterns
• in massive amounts of data, allowing machines to predict future
• results and make decisions with minimal human intervention. Through
• this course, learn foundational methods for using machine learning.
• Examine what machine learning is, how it is categorized, and common
• machine learning challenges. Next, learn about common types of
• machine learning tasks, such as clustering, classification, and
• regression. Finally, explore the types of regression, including
• simple and multiple linear regression. Upon completion, you'll be
• able to define machine learning and methods for using it.

In data science, many statistical and analytical techniques can be used to pull meaningful insights from data. Additionally, some advanced data science methods rely on other foundation data science methods, such as the case of text mining. Through this course, learn about advanced data science methods and their use cases. Explore advanced machine learning (ML) methods such as text mining and graph analysis and their uses. Next, learn about the anomaly and novelty detection processes. Finally, examine association rule mining and neural networks and their use cases across industries. After course completion, you'll be able to outline advanced methods for data science.