The AWS Machine Learning Scholarship, a collaboration between Udacity and Intel, is aimed at providing opportunities for students from underserved communities to pursue machine learning courses. This scholarship equips students with essential knowledge and conceptual clarity in the field of Machine Learning.
This article aims to provide comprehensive information about the AWS Machine Learning Scholarship 2023, including its purpose, eligibility criteria, benefits, features, and required documents. Additionally, it will guide readers through the process of applying online for this scholarship initiative.
AWS Machine Learning Scholarship 2023
The AWS Machine Learning Scholarship offers a golden opportunity for students interested in starting their education in Machine Learning or Artificial Intelligence. Successful applicants will receive scholarship funds to cover their course fees, enabling them to delve into the realms of AI and MI.
|Students of 18 Years
|Students of underrepresented and underserved groups
|Mode Of Transfer
|DBT (Direct Benefit Transfer)
|Form of Benefit
|Amount of benefit
|Machine Learning Foundation Course (AWS DeepRacer)
|Duration of Course
|3 to 5 hours per week
This scholarship is exclusively available to students belonging to underrepresented and underserved groups who wish to pursue courses in Machine Learning and Artificial Intelligence. Around 2000 students will have the chance to be selected as beneficiaries and receive scholarship support.
Objectives of AWS Machine Learning Scholarship
The primary objective of the AWS Machine Learning Scholarship Scheme is to empower students with inadequate representation in the field of machine learning. By offering comprehensive knowledge, this scholarship aims to enable students to kickstart their careers in this domain.
Another key objective is to provide scholarships to students who possess a deep interest in machine learning and artificial intelligence but lack the financial means to pursue their career aspirations.
AWS Machine Learning Scholarship Beneficiary Category
Applicants must belong to underrepresented or underserved communities and must be at least 18 years old to be eligible for this scholarship. Only those meeting both criteria will be considered for enrollment.
Rate of Scholarship and Mentorship Opportunities
The scholarship covers a 4-month course, the Python Nanodegree program. Selected students will receive $4,000 in the summer and winter cohorts. Among the beneficiaries, the top 500 students will be given mentorship opportunities for 12 months, providing them with valuable career advice and guidance.
AWS Scholarship Featured Programs
Apart from the primary Machine Learning course, the scholarship also includes various featured programs such as Business Analytics, SQL, Data Engineer, Data Analyst, Intro to Programming, Digital Marketing, and Self-Driving Car Engineer.
Udacity is a global learning community with a mission to democratize education, preparing the next generation for technical jobs.
List of Covered Facilities
The scholarship covers various facilities, including convenient part-time online learning, a flexible schedule requiring only a few hours per week, availability on a global scale, free training, and access to mentors for guidance.
Organizing Mentorship & Career Guidance
Beneficiaries will receive mentorship and career guidance sessions or seminars to resolve their doubts and seek advice. Only the top 500 students will have the opportunity to participate in these sessions.
AWS Scholarship Beneficiary Limitation and Course Duration
The scholarship aims to benefit around 2000 students, and the course duration spans 3 to 4 months, covering 124 days. Students are expected to invest 6 to 7 hours per week in their studies.
Facilitation of Assessment Tool
Students will have access to Amazon’s assessment tools to evaluate their performance and track their progress throughout the course.
Benefits of AWS Machine Learning Scholarship Scheme
The benefits of this scholarship include:
- Providing thousands of students the opportunity to start their careers in Machine Learning and Artificial Intelligence.
- Prioritizing underrepresented and underserved groups in the application process.
- Offering free mentorship services to eligible students for 12 months.
- Providing scholarships to cover the cost of the Machine Learning Foundation Course.
- Enabling students to learn and understand the concepts of machine learning.
Features of AWS Machine Learning Scholarship
The key features of this scholarship are:
- Collaboration between Udacity and Intel to launch the AWS Machine Learning Scholarship.
- Available exclusively to students from underrepresented and underserved groups.
- Scholarship for students aspiring to pursue careers in Machine Learning and Artificial Intelligence.
- Scholarship amount of $4,000 for students undertaking the Python Nanodegree program.
- Top 500 students receive free mentorship for 12 months.
- Access to a cloud-based 3D car racing simulator for learning ML and Reinforcement Learning.
- Targeting around 2000 students for the AWS Machine Learning Scholarship.
AWS Machine Learning Scholarship Eligibility Criteria
To be eligible for this scholarship, applicants must:
- Belong to underrepresented or underserved groups.
- Be above 18 years of age.
- Not reside in the US trade.
- Not be Udacity employees.
- Be able to invest 6 to 7 hours per week in the program.
AWS Machine Learning Scholarship 2023 Documents
The following documents are required for the scholarship application:
- Recommendation Letters
- CV or Resume
- Date of Birth Certificate
- Scanned Copy of the Passport
- Any other relevant documents
AWS Machine Learning Scholarship 2023 Online application
To apply online for the AWS Machine Learning Scholarship, follow these steps:
- Visit the Official Website.
- Scroll down to the “Resources” section.
- Click on “Scholarships.”
- Look for “AWS AI & ML Scholarship Program” and click on “Get Started.”
- Click on “Submit Your Application.”
- Sign in with your credentials or create a new account to register online.
By following these steps, interested students can apply for the AWS Machine Learning Scholarship and embark on an enriching educational journey in the field of Machine Learning and Artificial Intelligence.