AWS Machine Learning Scholarship 2023 : Apply, Course & Last Date :

The AWS AI & ML Scholarship Program is a collaboration between AWS and Udacity that provides scholarships to students who are underrepresented and underserved in technology. The program aims to make the future tech workforce more diverse by removing financial barriers, providing training for careers in tech, and offering mentorship support to individuals who are underserved or underrepresented in tech.

The 2023 AWS AI & ML Scholarship Program is open to students who are 18 years of age or older and who identify as underrepresented in technology. Students must also be enrolled in a full-time undergraduate or graduate program at an accredited institution.

The scholarship program provides a full scholarship to the Udacity AI Programming with Python Nanodegree program. The Nanodegree program is a 6-month program that teaches students the skills they need to become machine learning engineers. The program covers topics such as machine learning fundamentals, data analysis, and deep learning.

In addition to the Nanodegree program, scholarship recipients will also receive:

• Access to the AWS DeepRacer Student League
• One-on-one mentorship from AWS experts
• Career development support

The application deadline for the 2023 AWS AI & ML Scholarship Program is September 30, 2023. To apply, students must complete the scholarship prerequisites on AWS DeepRacer Student and then submit an application through Udacity.

Overview Of AWS Machine Learning Scholarship Scheme

Name Of The Scholarship	AWS Machine Learning Scholarship
Known As	Amazon Web Services Machine Learning Scholarship
Launched By	Active collaboration of Udacity and Intel
Delegated Bodies	Udacity Intel
No. of Delegated Bodies	2
Sponsored By	Amazon Web Services
Delegated Ministry	Ministry of Electronics & Information Technology
Allocated Portal	Udacity Portal
Objective	To provide career paths to the students in the machine learning aspects
Benefit	Students will be able to start their careers in the fastest-growing field
Beneficiaries	Students
Age Limit	Students of 18 Years
Beneficiary Category	Students of underrepresented and underserved groups
Mode Of Transfer	DBT (Direct Benefit Transfer)
Payment Mechanism	e-payment mechanism
Form of Benefit	Scholarship amount
Scholarship Transferal	Monthly Basis
Amount of benefit	$4,000
Offered Course	Machine Learning Foundation Course  (AWS DeepRacer)
Duration of Course	4 Months
Schedule	3 to 5 hours per week
Beneficiary Limit	2000
Hosting Site	National Information Center (NIC)
Mode Of Application	Online
Official Website	www.udacity.com

Objectives of AWS Machine Learning Scholarship

The objectives of the AWS Machine Learning Scholarship are to:

• Remove financial barriers to learning machine learning. The scholarship provides a full scholarship to the Udacity AI Programming with Python Nanodegree program, which is worth $2,000 USD. This will help students who are underrepresented and underserved in technology to learn the skills they need to become machine learning engineers without having to worry about the cost of tuition.
• Provide training for careers in machine learning. The Udacity AI Programming with Python Nanodegree program is a comprehensive program that teaches students the skills they need to become machine learning engineers. The program covers topics such as machine learning fundamentals, data analysis, and deep learning. This training will help students to prepare for a career in machine learning.
• Offer mentorship support to individuals who are underrepresented and underserved in technology. Scholarship recipients will have access to one-on-one mentorship from AWS experts. This mentorship will provide students with the support they need to succeed in the Nanodegree program and in their career in machine learning.
• Cultivate the next generation of machine learning leaders. The AWS Machine Learning Scholarship is designed to cultivate the next generation of machine learning leaders. By providing scholarships to students who are underrepresented and underserved in technology, the scholarship program is helping to ensure that the future of machine learning is diverse and inclusive.

In addition to the objectives listed above, the AWS Machine Learning Scholarship also aims to:

• Increase awareness of the opportunities in machine learning. The scholarship program aims to raise awareness of the opportunities in machine learning and to encourage students who are underrepresented and underserved in technology to consider a career in this field.
• Promote diversity and inclusion in the tech industry. The AWS Machine Learning Scholarship is designed to promote diversity and inclusion in the tech industry. By providing scholarships to students from underrepresented groups, the scholarship program is helping to create a more diverse and inclusive tech workforce.

Beneficiary Category

The beneficiary category for the AWS Machine Learning Scholarship is students who are underrepresented and underserved in technology. This includes students from groups such as:

• Women
• People of color
• LGBTQ+ individuals
• Students from low-income families
• Students with disabilities

To be eligible for the scholarship, students must meet the following criteria:

• Be 18 years of age or older
• Be enrolled in a full-time undergraduate or graduate program at an accredited institution
• Identify as underrepresented in technology

In addition to meeting the eligibility criteria, students must also complete the scholarship prerequisites on AWS DeepRacer Student. These prerequisites include:

• Creating an AWS account
• Completing the AWS DeepRacer Student Introduction course
• Achieving a passing score on the AWS DeepRacer Student assessment quiz

Students who meet the eligibility criteria and complete the scholarship prerequisites will be eligible to apply for the scholarship. Scholarship recipients will be selected based on their academic achievement, their commitment to diversity and inclusion, and their potential to succeed in the Udacity AI Programming with Python Nanodegree program.

The application deadline for the 2023 AWS Machine Learning Scholarship is September 30, 2023. To apply, students must complete the scholarship prerequisites on AWS DeepRacer Student and then submit an application through Udacity.

Age Limit

The age limit for the AWS Machine Learning Scholarship is 18 years of age or older. Students who are younger than 18 years of age are not eligible to apply for the scholarship.

The age limit is in place to ensure that scholarship recipients are mature enough to handle the academic rigor of the Udacity AI Programming with Python Nanodegree program. The program is a 6-month program that covers a lot of material, and students need to be able to dedicate a significant amount of time and effort to the program in order to be successful.

If you are interested in the AWS Machine Learning Scholarship but are under the age of 18, you can still learn about machine learning and prepare for a career in this field. There are many online resources and courses available that can teach you the basics of machine learning. You can also find mentorship opportunities through organizations such as Girls Who Code and Black Girls Code.

Rate of Scholarship

The AWS Machine Learning Scholarship provides a full scholarship to the Udacity AI Programming with Python Nanodegree program. The Nanodegree program is worth $4,000 USD, so the scholarship covers the full cost of tuition.

In addition to the scholarship, recipients will also receive access to the AWS DeepRacer Student League, one-on-one mentorship from AWS experts, and career development support.

The AWS Machine Learning Scholarship is a great opportunity for students who are underrepresented and underserved in technology to learn the skills they need to become machine learning engineers without having to worry about the cost of tuition. If you are eligible for the scholarship, I encourage you to apply.

Here are the steps on how to apply for the AWS Machine Learning Scholarship:

1. Go to the AWS Machine Learning Scholarship website.
2. Click on the “Apply Now” button.
3. Create an AWS account if you do not already have one.
4. Complete the scholarship application form.
5. Submit your application.

The application deadline for the 2023 AWS Machine Learning Scholarship is September 30, 2023.

Some Other Featured Programs 

Some other featured programs of this scholarship are as follows:- 

• Business Analytics 
• SQL
• Data Engineer 
• Data Analyst 
• Intro to Programming
• Digital Marketing
• Self-Driving Car Engineer

About Udacity

Udacity is a global, online, lifelong learning platform connecting education to jobs. Udacity offers Nanodegree programs, which are project-based online learning programs that teach students the skills they need to get started in high-demand fields like artificial intelligence, data science, and cloud computing.

Udacity was founded in 2011 by Sebastian Thrun, David Stavens, and Mike Sokolsky. Thrun is a computer science professor who is known for his work on the Stanford University Artificial Intelligence course that was made available online for free in 2011. The course was a huge success, with over 160,000 students from over 190 countries enrolling.

Udacity’s mission is to democratize education and make it accessible to everyone, regardless of their background or financial resources. The company’s Nanodegree programs are designed to be affordable and flexible, so that students can learn the skills they need to get ahead, without having to quit their jobs or go into debt.

Udacity has partnered with over 200 companies, including Google, Facebook, and Amazon, to create Nanodegree programs that are aligned with the skills that employers are looking for. These partnerships give Udacity students access to exclusive job opportunities and career support.

Udacity has also launched a number of initiatives to make education more affordable and accessible. For example, the company offers scholarships to students who are underrepresented in technology. Udacity also offers a “pay-what-you-can” program, which allows students to pay for their Nanodegree programs based on their income.

Udacity is a leading provider of online education, and its Nanodegree programs are a great way to learn the skills you need to get started in a high-demand field. If you’re looking for a way to upskill or change careers, Udacity is a great option.

Here are some of the benefits of learning with Udacity:

• Affordable and flexible Nanodegree programs
• Partnerships with over 200 companies
• Exclusive job opportunities and career support
• Scholarships for students who are underrepresented in technology
• “Pay-what-you-can” program

List of Covered Udacity Schools

Here is a list of the schools covered by Udacity:

• School of Artificial Intelligence
  • AI Programming with Python Nanodegree
  • Applied AI for Healthcare Nanodegree
  • Computer Vision Nanodegree
  • Deep Learning Nanodegree
  • Natural Language Processing Nanodegree
• School of Business
  • Business Fundamentals Nanodegree
  • Data Analyst Nanodegree
  • Digital Marketing Nanodegree
  • Product Management Nanodegree
  • Project Management Nanodegree
• School of Cloud Computing
  • Cloud Computing Nanodegree
  • Data Engineering with AWS Nanodegree
  • Machine Learning Engineer Nanodegree
  • Self-Driving Car Engineer Nanodegree
• School of Cybersecurity
  • Cybersecurity Nanodegree
  • Ethical Hacking Nanodegree
  • Incident Response and Forensics Nanodegree
• School of Programming and Development
  • C++ Nanodegree
  • Front-End Development Nanodegree
  • Full-Stack Web Development Nanodegree
  • Java Nanodegree
  • JavaScript Nanodegree
  • Python Nanodegree
  • React Nanodegree
  • Swift Nanodegree
• School of Autonomous Systems
  • Flying Car and Autonomous Flight Engineer Nanodegree
  • Self-Driving Car Engineer Nanodegree

Udacity also offers a number of other Nanodegree programs, such as the Data Scientist Nanodegree and the Robotics Software Engineer Nanodegree. You can find a full list of Udacity Nanodegree programs on the Udacity website.

List of Covered Facilities

Udacity does not have any physical campuses or facilities. All of its courses and programs are offered online.

However, Udacity does have a number of partners that offer physical facilities where Udacity students can take exams, attend workshops, and network with other students and professionals. These partners include:

• Googleplex in Mountain View, California
• Facebook’s Menlo Park campus in California
• Amazon’s Seattle campus in Washington
• Udacity’s own office in San Francisco, California

Udacity also has a number of virtual labs that students can use to learn and practice the skills they need for their Nanodegree programs. These labs are hosted on Google Cloud Platform and offer students access to a variety of computing resources, including virtual machines, GPUs, and storage.

Organizing Mentorship & Career Guidance

Here are some tips on how to organize mentorship and career guidance:

1. Define your goals. What do you hope to achieve through mentorship and career guidance? Do you want to learn new skills, get advice on your career path, or simply connect with someone who can offer you support? Once you know your goals, you can start to develop a plan to achieve them.
2. Identify potential mentors. There are many different ways to find potential mentors. You can ask your friends, family, or colleagues for recommendations. You can also search online for mentors who specialize in your field of interest. Once you have a list of potential mentors, reach out to them and express your interest in being mentored.
3. Set up regular meetings. Once you have found a mentor, it is important to set up regular meetings so that you can get the most out of the relationship. These meetings can be in person, over the phone, or online. The frequency of your meetings will depend on your needs and your mentor’s availability.
4. Be prepared for your meetings. It is important to be prepared for your meetings with your mentor. This means coming up with questions that you want to ask, and being ready to share your goals and aspirations. It is also helpful to take notes during your meetings so that you can remember the advice that your mentor gives you.
5. Be open to feedback. One of the benefits of mentorship is that you get the opportunity to receive feedback from someone who has more experience than you. Be open to your mentor’s feedback, even if it is not what you want to hear. Remember that their goal is to help you succeed.
6. Be appreciative. It is important to be appreciative of your mentor’s time and expertise. Thank them for their willingness to help you, and let them know how much you are learning from them.

Here are some additional tips for organizing mentorship and career guidance:

• Create a mentorship agreement. A mentorship agreement is a document that outlines the goals of the mentorship, the responsibilities of the mentor and mentee, and the expectations of both parties. This can help to ensure that the mentorship is successful.
• Provide training for mentors. Mentors should receive training on how to be effective mentors. This training can cover topics such as communication, active listening, and giving feedback.
• Provide support for mentees. Mentees should also receive support from the organization that is facilitating the mentorship program. This support can come in the form of workshops, webinars, or one-on-one coaching.

Mentorship and career guidance can be a valuable resource for anyone who is looking to advance their career. By following these tips, you can organize a mentorship program that is successful for both mentors and mentees.

Beneficiary Limitation

There are a few beneficiary limitations for the AWS Machine Learning Scholarship:

• Age: Scholarship recipients must be 18 years of age or older.
• Enrollment: Scholarship recipients must be enrolled in a full-time undergraduate or graduate program at an accredited institution.
• Underrepresented: Scholarship recipients must identify as underrepresented in technology. This includes students from groups such as:
  • Women
  • People of color
  • LGBTQ+ individuals
  • Students from low-income families
  • Students with disabilities

The AWS Machine Learning Scholarship is a great opportunity for students who are underrepresented and underserved in technology to learn the skills they need to become machine learning engineers without having to worry about the cost of tuition. If you are eligible for the scholarship, I encourage you to apply.

Here are the steps on how to apply for the AWS Machine Learning Scholarship:

1. Go to the AWS Machine Learning Scholarship website.
2. Click on the “Apply Now” button.
3. Create an AWS account if you do not already have one.
4. Complete the scholarship application form.
5. Submit your application.

The application deadline for the 2023 AWS Machine Learning Scholarship is September 30, 2023.

Course Duration

The course duration for the AWS Machine Learning Scholarship is 4 months. The scholarship program provides a full scholarship to the Udacity AI Programming with Python Nanodegree program, which is a 6-month program. However, scholarship recipients are only required to complete the first 4 months of the program.

The first 4 months of the Udacity AI Programming with Python Nanodegree program cover the following topics:

• Machine learning fundamentals
• Data analysis
• Deep learning

Scholarship recipients who complete the first 4 months of the program will be eligible to receive a certificate of completion from Udacity. They will also be eligible to apply for the AWS Machine Learning Engineer Nanodegree program, which is a 6-month program that covers more advanced topics in machine learning.

The AWS Machine Learning Engineer Nanodegree program is not part of the AWS Machine Learning Scholarship. Scholarship recipients who are interested in pursuing the AWS Machine Learning Engineer Nanodegree program will need to pay for the program themselves.

Facilitation of Assessment Tool

Here are some tips on how to facilitate an assessment tool:

1. Planning: Before you begin facilitating the assessment tool, it is important to plan carefully. This includes deciding on the following:
   • The purpose of the assessment tool
   • The target audience
   • The format of the assessment tool
   • The questions or tasks that will be asked
   • The scoring rubric
2. Introduction: Once you have planned your assessment tool, you need to introduce it to the participants. This includes explaining the purpose of the assessment tool, the format of the assessment tool, and how the participants will be scored.
3. Administration: Once the participants have been introduced to the assessment tool, you need to administer it. This includes handing out the assessment tool, giving instructions, and answering any questions that the participants may have.
4. Monitoring: While the participants are taking the assessment tool, you need to monitor their progress. This includes making sure that they are following the instructions, that they are not cheating, and that they are not having any difficulty with the assessment tool.
5. Collection: Once the participants have finished taking the assessment tool, you need to collect their responses. This includes collecting the assessment tools, checking them for completeness, and storing them in a safe place.
6. Scoring: Once you have collected the assessment tools, you need to score them. This involves using the scoring rubric to determine how many points each participant has earned.
7. Reporting: Once you have scored the assessment tools, you need to report the results. This includes summarizing the results, identifying any trends, and making recommendations.

Benefits of AWS Machine Learning Scholarship Scheme

Here are some of the benefits of the AWS Machine Learning Scholarship Scheme:

• Free tuition: The AWS Machine Learning Scholarship Scheme provides full tuition for the Udacity AI Programming with Python Nanodegree program, which is worth $4,000 USD.
• Access to AWS DeepRacer Student League: Scholarship recipients will have access to the AWS DeepRacer Student League, a global autonomous racing competition for students who are learning about machine learning and artificial intelligence.
• One-on-one mentorship: Scholarship recipients will have access to one-on-one mentorship from AWS experts. This mentorship will provide students with the support they need to succeed in the Nanodegree program and in their career in machine learning.
• Career development support: Scholarship recipients will have access to career development support from AWS. This support will help students to prepare for a career in machine learning, including providing guidance on job search strategies, resume writing, and interview skills.
• Community: Scholarship recipients will be part of a community of students who are learning about machine learning and artificial intelligence. This community can provide support and motivation as students work through the Nanodegree program.

The AWS Machine Learning Scholarship Scheme is a great opportunity for students who are interested in learning about machine learning and artificial intelligence. The scholarship provides financial support, mentorship, and career development support, which can help students to succeed in their studies and in their career.

Features of AWS Machine Learning Scholarship

The AWS Machine Learning Scholarship has the following features:

• Eligibility: The scholarship is open to students who are 18 years of age or older and who are enrolled in a full-time undergraduate or graduate program at an accredited institution. Students must also identify as underrepresented in technology. This includes students from groups such as:
  • Women
  • People of color
  • LGBTQ+ individuals
  • Students from low-income families
  • Students with disabilities
• Benefits: The scholarship provides full tuition for the Udacity AI Programming with Python Nanodegree program, which is worth $4,000 USD. Scholarship recipients will also have access to the AWS DeepRacer Student League, one-on-one mentorship from AWS experts, and career development support from AWS.
• Application Process: The application process for the AWS Machine Learning Scholarship is open from February 1, 2023 to September 30, 2023. To apply, students must complete an online application form and provide the following information:
  • Name
  • Email address
  • Phone number
  • Date of birth
  • Current educational institution
  • Program of study
  • Reason for applying for the scholarship
  • Resume
  • Letter of recommendation
• Selection Criteria: Scholarship recipients will be selected based on the following criteria:
  • Academic achievement
  • Commitment to diversity and inclusion
  • Potential to succeed in the Udacity AI Programming with Python Nanodegree program
• Notification: Scholarship recipients will be notified of their selection in early October 2023.
• Deadline: The deadline for applying for the AWS Machine Learning Scholarship is September 30, 2023.

Eligibility Criteria

Here are the eligibility criteria for the AWS Machine Learning Scholarship:

• Age: Scholarship recipients must be 18 years of age or older.
• Enrollment: Scholarship recipients must be enrolled in a full-time undergraduate or graduate program at an accredited institution.
• Underrepresented: Scholarship recipients must identify as underrepresented in technology. This includes students from groups such as:
  • Women
  • People of color
  • LGBTQ+ individuals
  • Students from low-income families
  • Students with disabilities
• Scholarship Requirements : Scholarship recipients must:
  • Complete the AWS DeepRacer Student League challenge by achieving a minimum lap time of 3 minutes on any single leaderboard.
  • Complete the Udacity AI Programming with Python Nanodegree program with a grade of 80% or higher.
  • Stay enrolled in their full-time undergraduate or graduate program at an accredited institution.

If you meet all of the eligibility criteria, you can apply for the AWS Machine Learning Scholarship. To apply, you must complete the online application form and provide the following information:

• Name
• Email address
• Phone number
• Date of birth
• Current educational institution
• Program of study
• Reason for applying for the scholarship
• Resume
• Letter of recommendation

The application deadline for the AWS Machine Learning Scholarship is September 30, 2023.

Important Documents

Here are the important documents that you need to apply for the AWS Machine Learning Scholarship:

• Resume: Your resume should highlight your educational background, work experience, and skills. Be sure to tailor your resume to the AWS Machine Learning Scholarship and to highlight your experience in machine learning or artificial intelligence.
• Letter of recommendation: A letter of recommendation from a professor, employer, or mentor can provide the scholarship committee with an additional perspective on your qualifications. Be sure to ask someone who knows you well and who can speak to your skills and potential in machine learning.
• Proof of enrollment: You will need to provide proof of enrollment in a full-time undergraduate or graduate program at an accredited institution. This can be in the form of a transcript, letter from your academic advisor, or other documentation.
• Proof of identity: You will need to provide proof of identity, such as a government-issued ID card or passport.
• AWS DeepRacer Student League Challenge Completion: You will need to provide proof that you have completed the AWS DeepRacer Student League challenge by achieving a minimum lap time of 3 minutes on any single leaderboard. This can be in the form of a screenshot of your leaderboard or other documentation.
• Udacity AI Programming with Python Nanodegree program Completion: You will need to provide proof that you have completed the Udacity AI Programming with Python Nanodegree program with a grade of 80% or higher. This can be in the form of a screenshot of your transcript or other documentation.
• Current educational institution: You will need to provide the name and contact information of your current educational institution.
• Program of study: You will need to provide the name of the program you are enrolled in.
• Reason for applying for the scholarship: You will need to provide a brief explanation of why you are interested in the AWS Machine Learning Scholarship and how you plan to use the scholarship to advance your career in machine learning.

You can submit these documents through the AWS Machine Learning Scholarship application form. The application deadline for the AWS Machine Learning Scholarship is September 30, 2023.

Process to Apply Online Under AWS Machine Learning Scholarship

here are the steps on how to apply for the AWS Machine Learning Scholarship online:

1. Go to the AWS Machine Learning Scholarship website.
2. Click on the “Apply Now” button.
3. Create an AWS account if you do not already have one.
4. Complete the scholarship application form.
5. Submit your application.

Here are the steps in detail:

1. Go to the AWS Machine Learning Scholarship website. You can find the link here: https://aws.amazon.com/machine-learning/scholarship/
2. Click on the “Apply Now” button. This will take you to the scholarship application form.
3. Create an AWS account if you do not already have one. You will need an AWS account to apply for the scholarship.
4. Complete the scholarship application form. The application form will ask you for the following information:
   • Your name
   • Your email address
   • Your phone number
   • Your date of birth
   • The name of your current educational institution
   • The program you are enrolled in
   • Your reason for applying for the scholarship
   • Your resume
   • A letter of recommendation
   • Proof of enrollment
   • Proof of identity
   • Proof that you have completed the AWS DeepRacer Student League challenge by achieving a minimum lap time of 3 minutes on any single leaderboard
   • Proof that you have completed the Udacity AI Programming with Python Nanodegree program with a grade of 80% or higher
5. Submit your application. Once you have completed the application form, click on the “Submit” button.

The application deadline for the AWS Machine Learning Scholarship is September 30, 2023.