Amazon Internet Companies and Udacity are partnering to supply free providers to coach builders of all ability ranges on machine studying (ML) ideas with the AWS Machine Studying Engineer Scholarship program. This system affords free enrollment to the AWS Machine Studying Foundations course and 325 scholarships awarded to the AWS Machine Studying Engineer Nanodegree, a $2,000 USD worth, powered via Udacity.
Machine studying is not going to solely change the best way we work and dwell, but in addition open pathways to thousands and thousands of recent jobs, with the World Financial Discussion board estimating 97 million new roles could also be created by 2025 in AI and ML. Getting access to the job-ready expertise to interrupt into an ML profession encounters excessive price to conventional training and rigorous content material, with an absence of real-world software from concept into observe. AWS is invested in addressing these challenges by offering free instructional content material and hands-on studying, comparable to exploring reinforcement studying ideas with AWS DeepRacer, in addition to a neighborhood of learner assist with technical specialists and like-minded friends.
“The AWS Machine Studying Engineer Nanodegree Program gave me a stable footing in understanding the foundational constructing blocks of Machine Studying workflows,” stated Jikmyan Mangut Sunday, AWS Machine Studying Scholarship Alumni. “This formed my data of the elemental ideas in constructing state-of-the-art Machine Studying fashions. Udacity curated studying supplies that had been simple to understand and relevant to each area of endeavor, my studying expertise was difficult and fun-filled.”
AWS can also be collaborating with Girls in Tech and National Society for Black Engineers, to supply scholarships to ladies and underrepresented teams in tech. Organizations like these goals to encourage, assist, prepare, and empower individuals from underrepresented teams to pursue careers in tech. In partnership, AWS will help in offering entry and sources to applications such because the AWS Machine Studying Engineer Scholarship Program to extend the variety and expertise in technical roles.
“Tech wants illustration from ladies, BIPOC, and different marginalized communities in each side of our trade,” says Adriana Gascoigne, founder and CEO of Ladies in Tech. “Ladies in Tech applauds our collaborator AWS, in addition to Udacity, for breaking down the obstacles that so usually go away ladies behind in tech. Collectively, we goal to provide everybody a seat on the desk.”
Open pathways to new profession alternatives
Learners in this system are capable of apply concept into fingers on software to a set of AWS ML providers together with AWS DeepRacer, Amazon SageMaker, and AWS DeepComposer. As many wrestle to get began with machine studying, the scholarship program supplies simple to study, self-paced modules to supply the pliability at a self-guided tempo. All through the course journey, learners may have entry to a supportive on-line neighborhood for technical help via Udacity tutors.
“Earlier than taking this system, the various instruments supplied by AWS appeared irritating however now I’ve a great grasp of them. I discovered learn how to arrange my code and work in knowledgeable setting,” stated Kariem Gazer AWS Machine Studying Scholarship Alumni. “The organized modules, comply with up quizzes, and customized suggestions all made the educational expertise smoother and concrete.”
Acquire ML expertise past the classroom
The AWS Machine Studying Engineer Scholarship program is open to all builders focused on increasing their ML expertise and experience via AWS curated content material and providers. Candidates 18 years of age or older are invited to register for this system. All candidates may have instant classroom entry to the free AWS ML Foundations course upon software completion.
Section 1: AWS Machine Studying Foundations Course
- Be taught object-oriented programming expertise, together with writing clear and modularized code and understanding the elemental points of ML.
- Be taught reinforcement studying with AWS DeepRacer and generative AI with AWS DeepComposer.
- Benefit from assist via the Discourse Tech neighborhood with technical moderators.
- Obtain a certificates for course completion and take a web-based evaluation quiz to obtain a full scholarship to the AWS Machine Studying Engineer Nanodegree program.
- Dedicate 3–5 hours per week on the course and work in the direction of incomes one of many follow-up Nanodegree program scholarships.
Section 2: Full scholarship to the AWS Machine Studying Engineer Udacity Nanodegree ($2,000 USD worth)
- Be taught superior ML strategies and algorithms, together with learn how to bundle and deploy your fashions to a manufacturing atmosphere.
- Purchase sensible expertise comparable to utilizing Amazon SageMaker to arrange you for a profession in ML.
- Benefit from neighborhood assist via a learner join program for technical help and learner engagement.
- Dedicate 5–10 hours per week on the course to earn an Udacity Nanodegree certificates.
June 21, 2022 Scholarship functions open and college students are robotically enrolled within the AWS Machine Studying Foundations Course (Section 1)
|July 21, 2022||Scholarship functions shut|
|November 23, 2022||AWS Machine Studying Foundations Course (Section 1) ends|
|December 6, 2022||AWS Machine Studying Engineer Scholarship winners introduced|
|December 8, 2022||AWS Machine Studying Engineer Nanodegree (Section 2) opens|
|March 22, 2023||AWS Machine Studying Engineer Nanodegree (Section 2) closes|
Join with the ML neighborhood and take the following step
Join with specialists and like-minded aspiring ML builders on the AWS Machine Learning Discord and enroll right now within the AWS Machine Studying Engineer Scholarship program.
Concerning the Creator
Anastacia Padilla is a Product Advertising and marketing Supervisor for AWS AI & ML Training. She spends her time constructing and evangelizing choices for the aspiring ML developer neighborhood to upskill college students and underrepresented teams in tech. She is concentrated on democratizing AI & ML training to be accessible to all who need to study.