Artificial intelligence is not just sci-fi anymore. It is big business—one with billions of dollars in global funding. While modern AI has a 60-year history, it is only in the last couple of years that we have seen its introduction to the mainstream, with revolutionary applications in healthcare, sales, manufacturing, and transportation coming online, and widespread adoption just around the corner. What started out as a game of checkers is now responsible for self-driving cars, increasing farmers’ crop yields, and understanding global oil supply.
Despite what dystopian fiction might have us believe, artificial intelligence is expected to create more jobs than it eliminates. Even though there is some mimicry on both sides, humans and computers are inherently different—and excel in different capacities.
Computers and their algorithms are adept at analyzing vast pools of data and unstructured information, while humans have the necessary intuition, imagination, and pattern recognition to point those algorithms in the right direction. As the capabilities of technology increase, the human element is needed to steer AI towards new horizons of applications with real-world impact.
Fortunately, it has never been easier to crack into the field. Artificial intelligence certificate programs, university curriculums, and online learning modules are cropping up with increasing regularity and offering to boost the skill set of engineers and non-engineers alike. It is now possible to learn from the brightest minds in the industry, regardless of physical location and availability. Read on learn how to level up your skills in this rapidly emerging and lucrative field.
AI is widely applicable
One of the buzz phrases of the last two decades was that, “Every company is a software company.” It might not be long before that phrase replaces “software” with “AI.” From banking to agriculture, by way of manufacturing and maritime trade, applications for AI are in virtually every sector of business. Those with the skills to harness the power of AI can pick their industry, changing the world in whichever area interests them most.
AI is future-forward
According to top research and advisory firm Gartner, AI will create 2.3 million jobs in the next two years. PwC also reported that AI firms seized more than $5 billion in venture capital funding over the last two years. The field is ripe for growth and will only continue to do so, notes Deloitte.
AI is location-independent
Like engineering, artificial intelligence is not anchored to a specific location, and neither are the AI experts. Working in AI requires prudent database management, clever algorithmic development, and a keen understanding of which questions to ask—all skills that can be performed from anywhere in the world with a steady connection to the internet.
CMU’s master of science (MS) in artificial intelligence and innovation degree is the first of its kind. The five-class core curriculum, which includes a capstone project, is specifically designed to uncover new AI applications and develop them into a product suitable for development through classes in artificial intelligence for future markets, law and computer technology, competitive engineering, and enterprise development.
The six-class knowledge module involves courses in applied mathematics, machine learning, natural language processing, applied machine learning, and deep learning, as well as a coding boot camp. Students must then choose three electives that dive deeper into nuanced areas. The 192-credit program can be completed in four four-class semesters. Tuition rates for 2018 are $25,000 per semester.
MIT has played a leading role in the prominence of AI across the global stage, and the institute’s professional education arm offers a certificate program in machine learning and artificial intelligence. The goal of the program is to empower businesses and individuals to be able to succeed in the AI-era.
Students take two core courses: one in foundations of machine learning for big data and text processing and one in advanced machine learning for big data and text processing. Students may then choose two electives from advances in imaging (virtual reality and augmented reality, machine learning, and self-driving cars), designing efficient deep learning systems, machine learning for healthcare, or modeling and optimization for machine learning. The program consists of four classes that take place at MIT’s campus in Cambridge, Massachusetts. Each course takes between two and four days to complete, for a total of 11 days. The total fees for the program come to approximately $11,000.
MIT’s Sloan School of Management offers a short online program in artificial intelligence and the associated implications for business strategy. Offered in collaboration with MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), the program is designed to equip business executives with the knowledge they need to understand the organizational and managerial implications of artificial intelligence. As it focuses mainly on the business strategy implications, no significant technical expertise is required. The one-course program lasts six weeks, with approximately six to eight hours of self-paced learning expected per week, and may be completed entirely online. The tuition is a flat fee of $2,600.
Microsoft Academy’s professional program in AI is meant to take aspiring engineers from a basic introduction of AI all the way to building their own deep learning predictive models for AI solutions. The program consists of nine courses and a capstone project. Each class takes approximately eight to 16 hours of work. The required courses comprise an introduction to AI, introduction to Python for data science, essential mathematics for AI, ethics and law in data and analytics, data science research methods, principles of machine learning, deep learning explained, and reinforcement learning explained. Students then select an elective in knowledge graphs, computer vision and image analysis, speech recognition systems, or natural language processing. The program costs $990 in total and may be completed entirely online.
Artificial intelligence is moving faster than traditional academic institutions can keep up. The future of education in the field is online and on-demand. And that is why some of the best educational programs in the area are available through cutting-edge online learning platforms like the ones below.
This elements of AI course, designed by the University of Helsinki, is an excellent place to get started for total beginners. The goal of the course is to explain what AI is, what is and is not possible with it, and how it affects people’s lives. The program consists of six classes, which cover topics like defining AI, solving problems with AI, AI in the real world, machine learning, neural networks, and overall implications. No heavy math or programming skill is required to take this course, and, upon completion, graduates of the course earn a LinkedIn certificate. The classes were developed in partnership with the Finnish Center for AI and The Open University, can be completed entirely online, and tuition is free.
Why not let Google give you a free crash course in AI and machine learning? This 15-hour, 25-lesson class includes lectures from Google researchers, real-world case studies, interactive visualizations, and more than 40 exercises on the subject. Using TensorFlow, students learn about gradient descent, how to build deep neural networks, how to measure a created model’s effectiveness, and how to represent data so that an algorithm to learn from it. While the prerequisites can be intimidating, there is a roadmap available for everyone, regardless their starting point, and a healthy library of resources for self-study and further exploration.
Udacity was founded when two Stanford professors decided to host their introduction to AI course online and offer it to anyone for free. So it is only fitting that Udacity remains a reliable resource for DIY learning in the AI space. The platform offers a three-month nanodegree on the subject spread out over 150 hours. Peter Norvig, a research director at Google, and author of Artificial Intelligence: A Modern Approach, teaches the class alongside Sebastian Thrun, the founder of Udacity who, before starting the online learning company, launched Google’s self-driving car project. In an attempt to make graduates job-ready, the program focuses on four projects: building a Sudoku solver, building a forward planning agent, building an adversarial game playing agent, and performing speech tagging. The program costs $999 and may be completed entirely online.
Coursera is an online learning platform that resembles a library of courses and programs in a wide variety of topic areas. Each module acts as an interactive digital textbook, complete with exercises, quizzes, lectures, and videos. In addition to programming classes that can bring students up to speed on their prerequisites, the platform offer specializations in AI that partner with institutions like Stanford University, New York University, and the University of Toronto.
Founded as a collaboration between MIT and Harvard University, edX offers online MOOCs and learning modules prepared in partnership with some of the best schools from around the globe. As a part of its MicroMasters program, edX offers a 12-week course in artificial intelligence taught by a Columbia University computer science professor. After learning the fundamentals of AI, students design intelligent agents that are capable of solving real-world problems in areas like search, logic, gaming, and constraint satisfaction. The course can either be taken for free, or in the pursuit of a certificate for $199. Massachusetts residents who take the course will be guaranteed an interview in Boston for a full-time job or an internship with GE.