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AWS Machine Learning Training Courses
Advance your machine learning skills on AWS through hands-on training courses. Learn to build, train, and deploy models using AWS ML services. Gain knowledge in deep learning, computer vision, NLP, MLOps, and more from industry experts. Start gaining valuable AWS ML skills today.
Course List
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Amazon SageMaker Studio for Data Scientists
AWS-300
Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly . . .
- Duration: 3 Days
- Scheduled Classes : 9 Scheduled Classes
- Delivery Format: Classroom, Virtual
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AWS Certified Machine Learning – Specialty
LQEX-AWS-MLS-C01
The AWS Certified Machine Learning – Specialty exam is intended for individuals who perform an artificial intelligence/machine . . .
- Duration: 1 Day
- Delivery Format: Exam
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Developing Generative AI Applications on AWS
AWS-310
This course is designed to introduce generative AI to software developers interested in leveraging large language models . . .
- Duration: 2 Days
- Scheduled Classes : 9 Scheduled Classes
- Delivery Format: Classroom, Virtual
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Machine Learning Engineering on AWS
AWS-325
Machine Learning (ML) Engineering on Amazon Web Services (AWS) is a 3-day intermediate course designed for ML professionals . . .
- Duration: 3 Days
- Delivery Format: Classroom, Virtual
Coming Soon on May 20, 2025
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MLOps Engineering on AWS
AWS-245
This course builds upon and extends the DevOps methodology prevalent in software development to build, train, and deploy . . .
- Duration: 3 Days
- Scheduled Classes : 6 Scheduled Classes
- Delivery Format: Classroom, Virtual
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Practical Data Science with Amazon SageMaker
AWS-175
You will learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon . . .
- Duration: 1 Day
- Delivery Format: Classroom, Virtual
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We're sorry there are no current courses meeting your filters, but please contact a training advisor who can suggest alternatives aligned with your goals and interests.
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