In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider—it is a truly disruptive force, one that promises to deliver an entirely new level of results for all aspects of the business.

Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf.

For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words.

In this course, students will learn general strategies for planning, designing, developing, implementing, and maintaining an IoT system through various case studies and by assembling and configuring an IoT device to work in a sensor network. Students will create an IoT device based on an ESP8266 microcontroller, implementing various common IoT features, such as analog and digital sensors, a web-based interface.

The Internet of Things (IoT) enables data to be collected and analyzed on a massive scale, enabling well-informed decisions to be made quickly. However, the deluge of data handled by IoT systems is often acquired, processed, and presented using new technologies that are rapidly evolving and in some cases being rushed to market, creating new concerns for data privacy and cybersecurity. Securing IoT systems can be a complicated proposition, involving hazards that many IT workers have never had to deal with.

The Internet of Things (IoT) allows organization to collect an extraordinary volume of data and new analysis tools can enable you to use this data to make well-informed decisions to be made quickly. But before you can successfully plan and implement an IoT solution, you must understand the various factors that will drive your decisions. Putting IoT systems into place can be a complicated proposition with unique considerations distinctly different from traditional IT solutions.

The stakes for software security are very high, and yet many development teams deal with software security only after the code has been developed and the software is being prepared for delivery. As with any aspect of software quality, to ensure successful implementation, security and privacy issues should be managed throughout the entire software development lifecycle.

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improve

This course covers incident response methods and procedures are taught in alignment with industry frameworks such as US-CERT’s NCISP (National Cyber Incident Response Plan), and Presidential Policy Directive (PPD) 41 on Cyber Incident Coordination Policy. It is ideal for candidates who have been tasked with managing compliance with state legislation and other regulatory requirements regarding incident response, and for executing standardized responses to such incidents. The course introduces procedures.