AWS AI & ML Scholarship Program On Udacity 2024
Udacity has partnered with Amazon Web Services (AWS) to launch the AWS AI/ML Scholarship Program
In the fast-evolving landscape of technology, artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces, revolutionizing industries and reshaping the way we approach problem-solving. Recognizing the importance of nurturing talent in these cutting-edge fields, Udacity has partnered with Amazon Web Services (AWS) to launch the AWS AI/ML Scholarship Program. This initiative aims to provide aspiring learners with the skills and knowledge needed to excel in the dynamic realms of AI and ML.
Eligibility:
Any student over the age of 16 who self-identifies as underserved or underrepresented in technology and is currently enrolled in high school or college may apply (subject to terms and conditions).
How does it work?
Enroll in AWS DeepRacer Student: This free program teaches you the basics of machine learning through fun racing challenges.
Complete prerequisites: Show your skills and understanding by completing two tasks within the program.
Apply for the scholarship: Once you’ve completed the prerequisites, you’ll be eligible to apply for the scholarship using a unique code.
Nanodegree program: 2,000 students will receive scholarships for the 4-month AI Programming with Python Nanodegree program.
Top scholar opportunity: The top 500 students in the Nanodegree program can apply for an additional scholarship to an even more advanced program.
How to enroll?
Start by signing up for AWS DeepRacer Student and opt in to the AI & ML Scholarship program. There are currently over 20 hours of free content available to start learning today. Track your progress for the AI & ML scholarship program requirements on AWS DeepRacer Student. Once you complete the prerequisites, you’ll get a unique code via email that you can use to submit your application.
What will you learn in AWS Generative AI course?
Lesson 1: Understand AI in societal and historical contexts, exploring Eliza Chatbot, AWS Alexa, and AWS Sagemaker.
Lesson 2: Introduce key concepts and principles of AI and machine learning.
Lesson 3: Explore Large Language Models (LLMs), their evolution, architectures, and practical applications using AWS Bedrock, Prompt engineering, and Datasets.
Lesson 4: Anchor foundational technical knowledge by examining how generative AI can be used responsibly and inclusively in society.
Final Project: Fine-tune a foundation model for domain adaptation using AWS Sagemaker and unstructured text.
Timeline:
February 1 — May 31, 2024: Application open.
May 31, 2024: Last day to complete prerequisites on the AWS DeepRacer Student website to earn scholarship access on Udacity.
June 14, 2024: AWS AI & ML Scholarship recipients notified.
June 19, 2024: AWS AI & ML Scholarship Nanodegree program begins.
You can apply here.
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