Hey there! Are you interested in becoming a machine learning engineer? Well, the AWS Machine Learning Engineer Scholarship Program might just be what you’re looking for!
This scholarship, offered by Amazon Web Services (AWS), is designed to give you the knowledge and skills you need to succeed in the field of machine learning. The program covers everything from data preparation to modeling, evaluation, deployment, and more.
As an AWS Machine Learning Engineer Scholar, you’ll have access to a user-friendly curriculum that’s easy to understand. You don’t need to be a tech genius to join the program. You just have to have a passion for machine learning and a willingness to learn.
So, why not give it a try? With the AWS Machine Learning Engineer Scholarship Program, you can take the first step towards a fulfilling career in machine learning.
AWS Machine Learning Engineer Scholarship Program Benefits
- The program provides free access to a comprehensive curriculum that covers all aspects of machine learning. This curriculum includes instructional videos, quizzes, and hands-on projects that will help you gain a deep understanding of the subject matter.
- You’ll have access to expert guidance from AWS machine learning engineers, who will provide feedback on your projects and answer any questions you may have.
- The skills you’ll learn in the program are highly valued in the tech industry. By completing the program, you’ll be well-positioned to pursue a career in machine learning.
- The program provides opportunities to network with other machine learning enthusiasts, which can help you build valuable connections in the industry.
- For participants who excel in the program, there may be opportunities for further education, such as advanced machine learning courses or internships at AWS.
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AWS Machine Learning Engineer Scholarship Program Eligibility
To be eligible for the AWS Machine Learning Engineer Scholarship Program, you need to meet the following criteria:
- You must be at least 18 years old at the time of application.
- You must have at least a high school diploma or equivalent. While a background in computer science or a related field is not required, it can be helpful.
- You do not need any prior experience in machine learning to apply, but having a basic understanding of programming concepts and mathematics can be helpful.
- The program is currently offered in English, so you must have strong proficiency in English to participate.
- The AWS Machine Learning Engineer Scholarship Program is open to individuals from around the world, but some restrictions may apply depending on your country of residence.
Required Documents
To apply for the AWS Machine Learning Engineer Scholarship Program, you’ll need to submit the following documents:
- Resume or CV: Your resume or CV should outline your educational background, work experience, and any relevant skills or certifications.
- Personal statement: You’ll be asked to provide a personal statement that outlines your interest in machine learning and your goals for the future. This statement should be no more than 500 words.
- Two references: You’ll need to provide the names and contact information of two references who can speak to your skills and character. These references can be former professors, employers, or other professionals who know you well.
- Transcripts: You’ll need to provide transcripts from any post-secondary institutions you’ve attended. If you’re currently enrolled in a program, you can provide unofficial transcripts.
- Language proficiency: Depending on the program’s requirements, you may need to provide proof of your English language proficiency, such as a TOEFL or IELTS score.
These documents will be used to assess your eligibility for the program and determine your suitability for the scholarship. Make sure to review the application guidelines carefully and submit all required documents before the deadline. Good luck!
How To Apply Online
To apply for the AWS Machine Learning Engineer Scholarship Program, follow these steps:
- Visit the AWS training and certification website to learn more about the scholarship program and ensure that you meet the eligibility criteria.
- Create an account on the AWS training and certification website if you don’t have one already.
- Navigate to the scholarship program’s webpage and click the “Apply Now” button.
- Fill out the online application form, providing all the required information and documents, such as your resume or CV, personal statement, references, and transcripts.
- Double-check your application carefully before submitting it. Make sure all the information you’ve provided is correct and complete.
- Once you’ve submitted your application, you’ll receive an email confirming its receipt. AWS will review your application and notify you of their decision by email.
Note: If you’re accepted into the scholarship program, you’ll receive instructions on how to access the curriculum and other resources.
If you’re not accepted, don’t be discouraged; there may be other opportunities to pursue your machine learning education and career goals.
Deadline
November 2023
