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 the 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. As a result, it is now possible to learn from the brightest minds in the industry, regardless of physical location and availability. Read on to 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, deep learning, and 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.
MIT’s Sloan School of Management offers a short online program in artificial intelligence and its 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.
The Microsoft Certified Azure AI Fundamentals certification proves an individual’s AI skills and is recommended for those with general programming knowledge or experience. Courses teach the basics of machine learning and AI concepts and related Azure services to build deep learning predictive models for AI solutions.
After passing the exam, credential holders can share their certification badge and skills on social media platforms such as LinkedIn. Free and paid preparation courses are available to prepare for this exam which professionals can complete online.
The artificial intelligence group at the University of Washington Computer Science and Engineering (UW CSE) studies the computational mechanisms underlying intelligent behavior. Their research areas include machine learning, natural language processing, probabilistic reasoning, automated planning, machine reading, and intelligent user interfaces.
UW CSE is one of the world’s leading centers for AI research, as demonstrated by its track record at the top conferences in their field, individual student and faculty honors, and high-profile research collaborations such as its work with the Allen Institute for Artificial Intelligence (AI2).
The Allen School’s campus-wide leadership in data science is also worth mentioning. This burgeoning field intersects with AI in many ways; data science is concerned with all aspects of data management, analysis, and understanding. While the department doesn’t offer a degree, it does offer several undergraduate and graduate-level courses in AI.
The College of Computing at Georgia Tech has an extensive faculty and research interest in artificial intelligence (AI) and machine learning (ML). AI and ML are used to solve various problems, such as constructing top-to-bottom and bottom-to-top models of human-level intelligence, creating adaptive and intelligent entertainment systems, making systems that understand their behavior, modeling and predicting
human behavior, automating creativity, and addressing a variety of other problems.
At the undergraduate and graduate levels, AI and ML are mainly found in two threads: Intelligence and Devices. Commonly taken courses include Introduction to Artificial Intelligence, Machine Learning, Natural Language Understanding, Knowledge-based AI, Game AI and Pattern Recognition. In addition, several robotics and computational perception courses also have an AI or ML aspect. At the graduate level, Georgia Tech advises PhD and master’s thesis candidates researching AI.
The Berkeley Artificial Intelligence Research (BAIR) Lab at UC Berkeley focuses on computer vision, machine learning, natural language processing, planning, control, and robotics. The lab has over 50 faculty members and 300 graduate students and postdoctoral researchers pursuing research in these areas.
Starting this year, the AI admissions committee will not consider GRE Scores in making decisions. The committee believes diversity leads to better research and decision-making, so they welcome applicants from all backgrounds to apply.
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 course aims 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; 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 AI and machine learning crash course? 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 can learn from it.
While the prerequisites can be intimidating, there is a roadmap available for everyone, regardless of 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 provides 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. 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 offers 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. For example, 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 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.