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You are here: Home / Scholarship / Submit Applications for AWS AI & ML Scholarship Program

Submit Applications for AWS AI & ML Scholarship Program

Deadline: 30 September 2024

Whether you’re new to AI or looking to break into the field, the AWS Artificial Intelligence and Machine Learning Scholarship Program, in collaboration with Udacity, helps students globally to learn foundational skills to prepare for careers in technology.

Through a comprehensive AI training program designed by AWS experts, students will get hands-on with real-world projects, learn from industry mentors, and access career resources.

AWS is teaming up with Udacity to award 2,500 students with scholarships in 2024. Students learn in-demand AI/ML training, enabling hands-on skills and career advancement through industry mentorships and support. The Amazon Web Services Artificial Intelligence & Machine Learning Scholarship program aims to help students who are underrepresented and underserved in tech learn foundational machine learning concepts as they prepare for a career in one of today’s hottest and fastest-growing fields.

Courses Covered

  • AI Programming with Python:
    • In this program, learners will build the essential foundations of AI: the programming tools, the math, and the key techniques of neural networks.
    • Learning Objectives:
      • Utilize programming tools like Python, NumPy, and PyTorch
      • Understand Calculus and linear algebra applications
      • Perform key techniques of neural networks, including gradient descent and backpropagation
    • Prerequisites:
      • Learners should have basic calculus knowledge, including how to calculate derivatives. Basic algebra and programming knowledge will shorten the time to mastery.
  • AWS Machine Learning Fundamentals:
    • This course covers the fundamentals of Machine Learning and Deep Learning. Students will learn to build intelligent systems using Python and popular data science libraries and will gain hands-on experience by developing a machine learning workflow on a real-world dataset. By the end of the course, students will have a solid understanding of the basics of Machine Learning and Deep Learning.
    • Prerequisites:
      • Python programming knowledge, including:
      • At least 40 hours of programming experience.
      • Familiarity with data structures like dictionaries and lists.
      • Experience with libraries like NumPy and pandas.
      • Knowledge of functions, variables, loops, and classes.
      • Exposure to Python through Jupyter Notebooks is recommended.
  • Introducing Generative AI with AWS:
    • Introducing Generative AI with AWS, a beginner-level Udacity course, delves into generative AI, focusing on its fundamentals, historical context, and real-world applications. It covers AI and ML foundations, Large Language Models (LLMs) with transformer-based architectures, and the societal impacts of generative AI.
    • Prerequisites:
      • Basic Python

Funding Information

  • 2,000 recipients annually are awarded a scholarship ($4,000 USD value) to work on AI projects and learn programming tools.

Eligibility Criteria

  • This offer is only valid for individuals:
    • 16 years or older, except for individuals from Algeria, Israel, and Portugal, who must be at least 18 years or older,
    • who are actively enrolled students at an accredited high school or undergraduate college, university, or community college,
    • who self identify as part of a demographic that is underrepresented or underserved in technology,
    • have a valid email address, and
    • have Internet access. If you are below the age of majority in your jurisdiction of residence, you must have consent to participate from your parent or legal guardian.
    • Excludes: individuals living in Argentina, Brazil, France, Germany, Italy, Mexico, Quebec, Russia, Spain, Cuba, Iran, North Korea, Syria, and the region of Crimea, and employees of Amazon Web Services, Inc. (“AWS”) and its affiliates and subsidiaries or anyone professionally associated with the Program.

For more information, visit AWS.

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