AWS Machine Learning

Become the kind of machine learning expert today’s organizations are seeking.

Organizations are struggling to find experienced machine learning talent, especially in the highly technical roles of data scientist and developer.

To meet these needs, training programs are now available across the essential areas of machine learning, equipping developers and data scientists with the skills most in demand by the market. Beyond training, professionals can formally validate their credentials and elevate their reputations by getting machine learning-certified in their respective specialties.

The message is simple: Getting trained and certified in machine learning allows you to advance your career—and your business to advance its projects.

Start training on machine learning with AWS.

Get an edge and develop the most in-demand machine learning skills. Whether you’re just getting started with machine learning or already have some experience, AWS can help you and your colleagues learn today’s most in-demand machine learning skills.

AWS Training and Certification offers guided learning paths of curated courses designed to fit the unique needs of different roles. We also offer a variety of other learning paths to help develop the skills of your larger  team.

Developer:

Providing deep insights into the issues facing today’s developers, this path will help you learn to integrate machine learning across your existing tools and applications, as well as foster better partnerships with data scientists to innovate on machine learning technologies.

Data Scientist:

Our learning path for data scientists is closely aligned for individuals killed  in math, statistics, and analysis who want to become machine learning  subject matter experts. This path will allow you to dig deep into the  numbers behind machine learning.

After completing this series of timely courses, you’ll better understand how machine learning will change data ingestion, system requirements and performance, and customer experiences for your organization.

AWS offers the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner. AWS is helping more than one hundred thousand customers accelerate their machine learning journey.

Explore machine learning services that fit your business needs, and learn how to get started.

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy ML models at scale. It removes the complexity from each step of the ML workflow so you can more easily deploy your ML use cases, anything from predictive maintenance to computer vision to predicting customer behaviors.

AI Services provide ready-made intelligence for your applications and workflows to help you improve business outcomes – based on the same technology used to power Amazon’s own businesses. You can build AI-powered applications without any machine learning expertise.

WS provides the broadest and deepest portfolio of ML infrastructure services with a choice of processors and accelerators to meet your unique performance and budget needs. Amazon EC2 P4d instances provide the highest performance for ML training in the cloud with the latest NVIDIA A100 Tensor Core GPUs coupled with first in the cloud 400 Gbps instance networking. P4d instances are deployed in hyper scale clusters, called EC2 UltraClusters, offering supercomputer-class performance for the most complex ML training jobs.

Frequently Asked Questions

What are AWS Machine Learning Training courses?
The AWS Machine Learning Training courses are comprehensive programs designed to equip learners with the knowledge and skills necessary to apply machine learning, artificial intelligence, and deep learning to their business operations. It’s ideal for individuals looking to understand how to build, train, and deploy ML models using the AWS Cloud.

Who should take the AWS Machine Learning Training courses?
These courses are perfect for professionals in data science, software engineering, and IT leadership roles, along with students and enthusiasts aiming to understand and implement machine learning concepts. Some prior knowledge of basic statistics, data analysis, and Python programming can be beneficial.

How are the AWS Machine Learning Training course structured?
These courses comprises a series of modules, each focusing on key areas such as AI, ML, DL, and practical applications. It includes real-world examples, hands-on labs, and is based on problems that Amazon has previously solved using ML.

How long does it take to complete the AWS Machine Learning Training courses?
The course duration varies depending on the specific training chosen and your personal learning pace. These courses range from 1-4 days depending on the expertise level.

What kind of certification will I receive at the end of the course?
After successfully completing the courses and passing the exam, you’ll receive the AWS Certified Machine Learning – Specialty certification. This credential demonstrates your knowledge and skills in designing and implementing ML solutions using AWS.