Table of Contents
About AWS and its scholarship program
Amazon Web Services, a prominent cloud computing platform, aims to empower learners with the expertise required to build intelligent, data-driven applications and solutions. Artificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming industries, driving innovation, and revolutionizing the way we interact with technology. AWS launched the AI & ML Scholarship Program to foster expertise in these fields. Powered by Amazon Web Services (AWS), this scholarship program encompasses hands-on learning, industry-leading instructors, and real-world projects to facilitate a comprehensive understanding of AI and ML concepts. This blog will cover everything you need to know about the AWS AI & ML Scholarship Program, from its objectives and benefits to the application process and curriculum details.
Curriculum and learning experience
The AWS AI & ML Scholarship Program offers a comprehensive curriculum that covers fundamental concepts, advanced techniques, and real-world applications of AI and ML. Students can expect the following components in their learning journey-
Introduction to AI and ML- The program usually begins with an introduction to AI and ML, explaining key concepts, terminology, and the role of AI in various industries.
Machine learning algorithms- Students will learn various ML algorithms, including supervised, unsupervised, and reinforcement learning, understanding how these algorithms function and their practical applications.
Deep learning and neural networks- The program often includes in-depth modules on deep learning and neural networks, exploring topics such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
AI ethics and responsible AI- Students also learn about the ethical considerations and responsible use of AI to ensure they develop AI solutions that align with ethical guidelines.
Capstone projects- To apply their knowledge, learners work on capstone projects that challenge them to solve real-world problems using AI and ML techniques.
Objectives of the AWS Machine Learning Scholarship
The primary goal of launching the AWS Machine Learning Scholarship Scheme is to provide a portal or integrated form of an interface. It provides students with knowledge about various aspects of machine learning and AI. They will be able to understand it completely and begin their career in this field.
Another objective behind launching the AWS Machine Learning Scholarship is to provide funding to students who have a strong interest in the machine learning and artificial intelligence fields but are unable to pursue it due to a lack of funds. These students will be able to receive scholarships to learn the fundamentals of machine learning.
Requirements for AWS AI & ML Scholarship Program
Online applications for AWS ML Scholarship open to students in Machine Learning or AI. Pay after scholarship approval. They will be able to further their studies in the fields of AI and ML(Machine Learning). Students from underrepresented groups can apply for this scholarship to pursue Machine Learning and Artificial Intelligence courses. They can win exciting monetary awards through this program. The selection committee chooses around 2000 applicants to receive scholarship funds.
The grant will award students who are members of underrepresented populations based on the duration of their Python Nanodegree program. The student must be a member of this beneficiary category in order to be eligible for enrolment.
The beneficiary group that the student belongs to and the course of study chosen by the student will not be enough to ensure their selection. It is also necessary for the candidate to be at least 18 years old. Students who are over this age limit cannot apply for the scholarship.
This machine learning or AI course will last four months. Python Nanodegree program participants will get $4,000 in summer and winter cohorts. The top 500 applicants will receive mentorship opportunities. They will receive mentorship or career assistance for a period of 12 months (1 year).
Interested candidates must fill out an application form with personal information, academic background, and an essay or statement expressing their motivation for joining the scholarship program.
The selection process may involve reviewing the application form, assessing the candidate’s passion for AI and ML, and evaluating any prior experience or projects related to the field.
- The AWS AI & ML Scholarship Program is a valuable initiative Amazon Web Services offers to empower learners with subject expertise.
- Students from underrepresented groups have the opportunity to receive scholarships and pursue their studies in the fields of AI and ML.
- Scholarship recipients benefit from mentorship opportunities and career assistance, enhancing their learning journey and future AI and ML industry prospects.
Please share your feedback on this informative blog in the comments section below. If you have any questions or need more information about international courses and scholarships, don’t hesitate to reach out to us. Click here to contact our team, and we’ll be delighted to assist you with any queries you may have.
Liked this blog? Read next: STEM Courses | Discover the Top 10 Universities in Australia
Q1. Is the AWS AI & ML Scholarship a fully funded program?
Ans- The AWS AI & ML Scholarship supports deserving candidates by providing financial assistance. While it may not be a fully funded program, the scholarship covers a substantial portion of the tuition fees, making it a more accessible opportunity for students interested in pursuing AI & ML education.
Q2. Is the AWS AI & ML Scholarship program available globally?
Ans- AWS often aims to make its scholarship programs available to students worldwide. However, program availability may vary based on geographic regions and local regulations.
Q3. Is there any cost associated with applying for the AWS AI & ML Scholarship program?
Ans- No cost is associated with applying for the AWS AI & ML Scholarship program. It is designed to provide an opportunity for students to gain knowledge and skills in AI and ML without financial constraints.