Springboard Partners With University of California San Diego
We’re happy to announce that Springboard has partnered with the University of California San Diego Extension, which offers continuing and professional education, certificate, and degree-related programs, to offer a machine learning engineering program that will allow learners to earn a professional certificate of completion from the UC San Diego Extension.
The six-month, self-paced, part-time program is aimed at helping learners advance in their current profession or launch an entirely new career in machine learning engineering. It will be balanced around developing technical machine learning engineering skills through collaborative project-based learning and will include a number of robust career support and mentorship options, which Springboard is well known for.
Why machine learning engineering?
Some of the most exciting and revolutionary technology in the world is powered by machine learning. Think software that detects cancer from image files; steers driverless cars; and recommends products that millions will buy.
The mainstream adoption of AI and machine learning-powered products has led to an AI talent shortage that many experts predict won’t be alleviated for years. From 2015 to 2018, the number of AI-related job postings on Indeed increased by 119%, while the global machine learning market is estimated to reach $8.8 billion by 2022.
Machine learning is one of the most in-demand AI skills right now, something that is driving an increase in compensation. Machine learning engineers earn an average salary between $125,000 and $175,000. AI engineer salaries at the ten highest-paying companies start above $200,000 a year.
The UC San Diego Extension Machine Learning Engineering Bootcamp is designed to address this global employment gap and propel learners with coding experience into new machine learning and artificial intelligence careers.
What will I learn?
The curriculum includes 450+ hours of core and optional content that will teach you the foundations of machine learning and deep learning—and how to implement them at scale. You’ll learn the best practices for working with data, build and scale prototypes of various ML models, deploy these models to production, advanced specializations like NLP and computer vision, all while working on an epic capstone project of your choice.
Of the 450+ hours of core and optional work that it takes to complete this course, some 200 hours are dedicated to projects and hands-on exercises. This means you will get to build and deploy large-scale ML systems—all with 1:1 guidance from your personal mentor, an experienced machine learning engineer currently working in the industry.
You will also learn:
- Machine learning models
- Tools and libraries that are used in both data science and machine learning
- How to collect, clean, and process data
- Essential mathematics and statistics; stats concepts like conditional probability, independence, and Bayes Theorem; probabilistic programming
- Machine learning models at scale and production
- Deep learning and neural networks
- Natural language processing
- Computer vision and image processing
- Deploying ML systems to production
Who is this program for?
This is an advanced course for technically minded students who want to develop their machine learning skills to pursue a career as a machine learning engineer.
It is open to students who are working as software engineers or data scientists, students who have undergraduate degrees in computer science, physics, computational mathematics, statistics, or a similar field.
The course is also open to self-taught programmers who display a high degree of technical savvy.
What does it cost?
The course costs $8,940 when paid upfront. There are also other payment options available.
The course is fully online and features a flexible pace so that you can study anytime, anywhere, even if you have a full-time job. Students can complete the course in 6 months if they dedicate approximately 15 hours of work per week.
You’re welcome to complete in less or more time—you only pay only for the months you’re enrolled.
What support will I receive?
You’ll have your own support team, including a student advisor, mentor, community manager, and career coach.
- A mentor, who will provide feedback on projects, answer questions about the curriculum, and give you career advice and industry insights during 1:1 weekly calls
- A community manager, who can answer questions about the curriculum and machine learning engineering industry
- A career coach, who will help you during your job hunt and can give you tips about how to network, create a strong machine learning engineer resume, and more
- Access to an online community of other students learning the same material so you can share triumphs and trials, get feedback, and attend weekly live Office Hours
- Optional access to career services units that will guide you through your job search, including networking strategies, resume building, interview coaching, and practice and negotiation tips
Where can I sign up?
Enrollment for the UCSD Machine Learning Engineering Bootcamp is open now, with the first cohort of students beginning January 2021. After that, cohorts are accepted monthly.
Once you enroll, you’ll be asked to fill out a profile, which includes questions about your background, your availability during the week, and the skills you want to develop. Your student advisor will use this information to match you with a mentor.
Upon completion of the program, students will earn a certificate of completion, as well as stackable continuing education (CEU) credits that can be used toward future UCSD Extension certificate programs.
To learn more and apply, click right here.
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