As we all know that in this digital era of Artificial Intelligence AI and MI, people need to learn new skills about this advanced technology for that case here is another scholarship program launched the name of the program is Active Collaboration of Udacity and Intel and the name of the program is AWS Machine Learning Scholarship 2024 Under this, students who are looking forward to learning about it will get financial support so that they can carry on their education. In this article, we are going to provide you with all the important details about this scholarship program and also get information about its benefits, eligibility criteria, features, registration procedure, and much more.
AWS Machine Learning Scholarship 2024
The Active Collaboration of Udacity and Intel has launched the latest scholarship program for students of the age group of 18 to provide them the opportunity and financial support so that they can carry technical education without facing any financial constraints. Under this, each scholar will get financial aid of $4000 for machine learning foundation courses. This immersive program provides access to top-notch learning resources, interactive courses, and hands-on projects, all delivered by industry-leading AI experts and educators. Scholars will gain a comprehensive understanding of fundamental concepts, explore advanced techniques, and learn to leverage the power of AWS cloud services to build and deploy sophisticated machine-learning models.
Key Highlights of AWS Machine Learning Scholarship 2024
| Name Of The Scholarship | AWS Machine Learning Scholarship 2024 |
| 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 |
| 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 Transferral | 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 | udacity.com |
Objective of AWS Machine Learning Scholarship 2024
The main objective of this scholarship program is to empower and equip aspiring learning enthusiasts with the knowledge, skills, and practical experience which is required to thrive in the evolving world of AI and cloud computing. This scholarship program, offered by Amazon Web Services (AWS), aims to foster a diverse and inclusive community of learners, nurturing their passion for machine learning while fostering innovation and promoting the adoption of cutting-edge AI technologies. Through this initiative, all the candidates will gain proficiency in AWS machine-learning tools and other services, enabling them to tackle real-world challenges and make a contribution to the advancement of AI applications across various industries.
Benefits of AWS Machine Learning Scholarship
- Under this, scholars will gain high-quality and latest learning materials curated by AWS experts, which include online courses, tutorials, and hands-on labs that will cover a huge range of machine learning topics and applications.
- Under this program, the authorities will provide an opportunity to earn an industry-recognized certification upon the successful completion of the program, which will enhance a scholar’s resume and demonstrate their expertise in machine learning.
- Throughout the program, all the candidates will get guidance and support from the AWS authorities experts and instructors, and it will also offer valuable insights and personalized advice to help scholars to enhance their studies and projects.
- Under this, all the candidates will also get a chance to connect with like-minded candidates who share a passion for machine learning, which creates networking opportunities and fosters a community of learners where knowledge-sharing and collaboration can thrive.
List of Covered Udacity Schools
| School of Artificial Intelligence | School of Autonomous Systems |
| School of Business | School of Cloud Computing |
| School of Cybersecurity | School of Data Science |
| School of Programming | School of Product Management |
Eligibility Criteria
- Those candidates who are underrepresented or underserved groups are eligible for this scholarship program.
- For this scholarship initiative candidate should be 18 is necessary.
- Those candidates who are residing in the US trade are also considered to be eligible.
- Those candidates who are employees of Udacity are not eligible.
Required Documents List
- Personal Information
- Resume/Curriculum Vitae (CV)
- Statement of Purpose (SOP) or Cover Letter
- Educational Transcripts
- Proof of Enrollment/Academic Status
- Academic Achievements and Awards
- Work Experience (if applicable)
- Machine Learning Projects
- GitHub or Portfolio (optional but recommended)
- Letters of Recommendation (optional but recommended)
- English Language Proficiency (if applicable)
- Identification Documents
Registration Procedure Under AWS Machine Learning Scholarship 2024
- Those candidates are required to go to the Official Website of the program.
- After that, you are required to go to the Scholarships section and then find the AWS Machine Learning Scholarship option.
- After tapping on that link scholarship’s instructions will appear on your screen.
- Read all the instructions carefully and tap on Apply Now option.
- After tapping on it the application form will appear on your screen.
- Now fill all the necessary details on it and attach the documents that are asked.
- Last, recheck the details and then submit the application form.