AWS AI ML Scholarship Opportunities and Resources

If you're interested in pursuing a career in AI and ML, AWS offers a range of scholarship opportunities to help you get started.

AWS offers a Machine Learning Scholarship program that provides up to $10,000 in funding to students pursuing a degree in a field related to AI and ML.

This program is open to students from around the world and can help you cover the costs of tuition, fees, and living expenses while you focus on your studies.

AWS also offers a range of online courses and tutorials to help you develop your skills in AI and ML, including a free machine learning course that covers the basics of machine learning.

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The AWS DeepRacer is a reinforcement model provided by AWS for learners to apply their machine learning knowledge on a race car model.

It comes with several features that help you learn and train a model, including training and machine learning modules, model creation, and track selection.

You can choose from two training algorithms: Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC).

To train your model, you need to select a reward function, which determines the reward your car receives for certain actions.

The final step is deciding the training duration and parameter values for your model.

Once your model is trained, you can see how it performed using the leaderboard and make any necessary changes.

You can also select a model using the 'create the model' feature and name it as you wish.

The AWS DeepRacer provides different track options for you to choose from for training your model.

Here are the two training algorithms you can choose from:

The AWS DeepRacer is a game-changer for anyone looking to apply their machine learning knowledge in a fun and interactive way.

You can use the AWS DeepRacer to study model training and machine learning from the modules provided in the course. This hands-on experience will help you gain practical knowledge and skills in machine learning.

The program allows you to build a race car model using built-in consoles and algorithms, making it a great way to put your knowledge to use. You can choose from different track options and select a model using the "create the model" feature.

To train the car model, you can choose from two algorithms: Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC). This gives you the flexibility to experiment with different approaches and see what works best for your model.

The AWS DeepRacer also allows you to select a reward function, which is a crucial step in training your model. You can choose a reward function based on how your car performs, such as when it crosses the finish line or completes a lap.

Here are the different phases of the program:

The AWS AI & ML Scholarship program has a clear structure that sets it apart from other opportunities. To get started, you'll need to log in to the AWS DeepRacer Student platform, which is free to access.

The program is divided into several phases, each with its own set of requirements and challenges. You'll need to learn the material provided and start building an autonomous vehicle in a 3D simulated environment using machine learning.

To progress, you'll need to train your model and improve its accuracy to get on the leaderboard. The goal is to get a minimum score of 80% or better on all required assessments on AWS DeepRacer Student learning modules.

Here's an overview of the phases involved in the program:

To prepare for the AWS AI & ML ScholarShip Program, you need to be aware of AWS Deepracer league. You can refer to Deepracer details or the Udacity course to get started.

Brush up on your programming skills, specifically in Python, as it's the preferred language for the program. You should also review basic statistics concepts to build a strong foundation.

To perform well on the leaderboard, familiarize yourself with the AWS DeepRacer console and RL concepts. Carefully review all the modules provided by AWS before attempting the quizzes, and get connected to mentors, friends, and other students on Slack to clear any doubts you may have.

Here are some essential resources to help you prepare:

To prequalify for the scholarship, you'll need to meet two requirements. You must receive 80% or better on all necessary tests in order to be prequalified. These exams are based on different chapters from the AWS DeepRacer Student navigation pane's Learn section.

To pass these tests, you'll need to review your coursework. You can find the necessary tests and chapters in the Learn section of AWS DeepRacer Student.

To achieve the second requirement, you'll need to record a single lap time in any race that is less than two minutes in the AWS DeepRacer League. The league releases a new leaderboard with a new circuit every month from February to September.

Here's a summary of the prequalification requirements:

If you successfully fulfill both requirements, you'll receive an email from AWS with a link to the Udacity Nanodegree scholarship application and a special access code.

To prepare for the AWS AI & ML Scholarship Program, you should start by familiarizing yourself with the AWS Deepracer league. You can do this by referring to the Deepracer details or taking the Udacity course.

To ensure you have a solid foundation in machine learning, refer to the AWS AI resources page, which provides a wealth of information on machine learning topics.

A good understanding of programming basics, particularly Python, is also essential. Brush up on your concepts of basic statistics to give yourself a strong foundation.

Before attempting the quizzes, carefully refer to all the modules provided by AWS to ensure you're well-prepared. Getting connected to mentors, friends, and other students on Slack can also help you clear any doubts you may have.

Here are some key resources to get you started:

Amazon Web Services (AWS) is a great platform for those interested in artificial intelligence (AI) and machine learning (ML). The AWS AI & ML Scholarship program is a fantastic opportunity for students to gain valuable skills.

The scholarship program debuted as part of AWS DeepRacer Student and aims to increase diversity in the fields of AI and ML. It provides successful applicants with the chance to earn up to two Udacity Nanodegrees.

The program is fully funded, with no application deadline mentioned. However, it's worth noting that the application deadline for the 2024 scholarship is September 30, 2024.

Students who are awarded the scholarship will have access to career resources and mentoring, including resume editing, talks with industry professionals, and interview techniques. They'll also have the opportunity to participate in weekly case study activities and office hours with Udacity teachers.

Here are the benefits of the AWS AI & ML Scholarship program:

Overall, the AWS AI & ML Scholarship program is a great way for students to gain valuable skills and knowledge in the fields of AI and ML.

The AWS AI & ML Scholarship program offers a range of benefits and perks to its recipients. You get to be a part of a detailed comprehensive AI training program without any fee. This program is designed to equip you with the skills and knowledge needed to succeed in the field of artificial intelligence and machine learning.

Here are some of the specific benefits you can expect:

The program also offers access to weekly office hours with Udacity teachers, where you can get help with any questions or concerns you may have about the course material. Additionally, you'll have the opportunity to participate in weekly case study activities facilitated by Udacity faculty.

The top 500 students from the AI Programming with Python course will be granted access to a more advanced Nanodegree that covers the principles of deep learning and equips them with the knowledge and abilities needed to work as machine learning engineers.