Sold by: Lumify Work
Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly. It does this by bringing together a broad set of capabilities purpose-built for ML.
Sold by: Lumify Work
Overview
This three-day, advanced level course prepares experienced data scientists to use the tools that are part of SageMaker Studio to improve productivity at every step of the ML lifecycle.
Duration: 3 Days
What you'll learn:
- Accelerate the preparation, building, training, deployment, and monitoring of ML solutions by using Amazon SageMaker Studio
Course Subjects:
- Amazon SageMaker Setup and Navigation
- Data Processing
- Model Development
- Deployment and Inference
- Monitoring
- Managing SageMaker Studio Resources and Update
- Capstone Lab
Target Audience:
- Experienced data scientists who are proficient in ML and deep learning fundamentals
- Relevant experience includes using ML frameworks, Python programming, and the process of building, training, tuning, and deploying models
Prerequisites:
It is recommended that all attendees have the following prior to attending this course:
- Completed AWS Technical Essentials course
- Experience in Python programming
It is recommended that attendees who are not experienced data scientists also have the following prior to attending this course:
- Completed The Machine Learning Pipeline on AWS course
- Completed Deep Learning on AWS course
Highlights
- Lumify Work is an official AWS Training Partner for the Australian, New Zealand and Philippines region. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.
- This course includes instructor-led training, presentations, demonstrations, practice labs, discussions, and a capstone project.
Details
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Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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