Are you interested in learning more about artificial intelligence (AI) and machine learning (ML)? Do you want to pursue a career in this exciting and rapidly evolving field? If so, you might be wondering how to get started and what kind of skills you need.
One way to get a solid foundation in AI and ML is to enroll in a scholarship program that offers Nanodegree program worth $4,000 USD value, mentorship from AWS ML experts, and project-based learning. One such program is the Udacity AI and ML Scholarship Program, which is sponsored by AWS DeepRacer.
What is AWS DeepRacer?
AWS DeepRacer is a 3D racing simulator that lets you get hands-on with reinforcement learning (RL), a type of ML that teaches agents to make optimal decisions in complex environments. You can build, train, and test your own RL models using a virtual car and track, and then compete with other learners in the AWS DeepRacer League.
Refer to this article to know more about AWS DeepRacer
How can AWS DeepRacer help you get a Udacity scholarship?
The Udacity AI and ML Scholarship Program is open to anyone who wants to learn AI and ML, regardless of their background or experience. To apply, you need to complete a short quiz and submit a written statement explaining why you want to join the program.
The program consists of two phases:
- Phase 1: You will get access to the AWS Machine Learning Foundations course, which covers the basics of ML, data science, computer vision, natural language processing, and RL. You will also get access to the AWS DeepRacer console, where you can practice your RL skills and join the scholarship challenge.
- Phase 2: The top 325 performers in the scholarship challenge will receive a full scholarship to one of the following Nanodegree programs: Machine Learning Engineer, Computer Vision, or Natural Language Processing.
What to prepare?
If you want to increase your chances of getting into the scholarship program, here are some tips:
- Review the prerequisites for the AWS Machine Learning Foundations course, which include basic Python programming and basic statistics.
- Familiarize yourself with the AWS DeepRacer console and the RL concepts behind it.
- Join the AWS DeepRacer community on Slack, where you can interact with other learners, mentors, and experts.
- Bonus: After completing the two 10-hour courses given by aws on the deep racer student website, you will be ready to give the exam.
Where to apply?
If you are interested in applying for the Udacity AI and ML Scholarship Program, you can do so by visiting this link.
Best Resources and guide to prepare
If you are looking for a comprehensive guide for AWS Deepracer league which will be an essential part to complete your scholarship application do visit this guide:-
Dominate the Student League of AWS DeepRacer
If you want to reduce your lap time on the race track this guide will be really helpful:-
Craft a Powerful Reward Function for AWS DeepRacer Student League