The mainstream adoption of AI-driven products coupled with ever-bigger bets by tech and tech-adjacent companies has led to an AI talent shortage that won't be alleviated for years. We are uniquely positioned to bridge that gap
SAN FRANCISCO (PRWEB) November 29, 2018
Springboard, a fast-growing online education provider with a mission to bridge the world’s skills gap, has launched its AI / Machine Learning Career Track, aimed at helping professionals with software engineering backgrounds become machine learning engineers.
"Our courses are focused on skills-gap industries where demand for talent is outstripping supply," said Springboard CEO and co-founder Gautam Tambay. "The mainstream adoption of AI-driven products coupled with ever-bigger bets by tech and tech-adjacent companies has led to an AI talent shortage that won't be alleviated for years. We are uniquely positioned to bridge that gap."
- The global machine learning (ML) market is estimated to grow from $1.4 billion in 2017 to $8.8 billion by 2022. (Source: Research and Markets)
- AI is projected to create 2.3 million jobs by 2020. (Source: Gartner)
- From 2015 to 2018, the number of AI-related job postings on Indeed increased by 119 percent. (Source: Indeed)
- Machine learning is the most in-demand AI skill. (Source: Indeed)
All of that is driving AI pay sky high. Machine learning engineers earn an average salary between $125,000 and $175,000. Salaries at the 10 highest-paying companies for AI engineers start above $200,000 a year.
Springboard’s new AI / Machine Learning Career Track is an intensive course that will equip students to transition into these exciting, in-demand, highly compensated roles.
What makes this program unique? It is the first AI/ML course with a job guarantee. With support from Springboard’s career services team (including mock interviews and career-focused curriculum modules), graduates will find a job within six months of completing the course—or their tuition will be refunded. (Springboard has long offered this to graduates of its flagship Data Science Career Track course and has yet to issue a refund.)
And while graduate programs and other online courses focus on AI/ML concepts, Springboard emphasizes hands-on learning. Of the estimated 400 hours of work it takes to complete the course, more than 100 hours go toward capstone projects (with many other smaller projects throughout). During this program, students will build and deploy large-scale AI systems.
All of Springboard’s courses include one-on-one mentoring from a professional in the field. In this case, that means AI experts from companies like Google, Facebook, and Airbnb. In addition to project guidance, students get insight into the AI/ML interview process and the day-to-day responsibilities of a machine learning engineer.
Springboard has educated thousands of students in its intensive three-to-six-month courses in data science and business analytics and has students, alumni, and mentors in nearly 100 countries.
Springboard is a human-centric online school that offers extensive mentor-led learning for early- and mid-level professionals in data science and other new-economy fields where demand for talent exceeds supply. Springboard students receive one-on-one mentorship, individualized career counseling, and a uniquely human experience that leads to higher completion rates and job placements. Learn more on our website or join our rapidly growing team.