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."
Consider this:
- The
global machine learning (ML) market is estimated to grow from $1.4 billion
in 2017 to $8.8 billion by 2022.
- AI
is projected to create 2.3 million jobs by 2020.
- From
2015 to 2018, the number of AI-related job postings on Indeed increased by
119 percent.
- Machine
learning is the most in-demand AI skill.
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.