The Machine Learning Pipeline on AWS
About This Program
The Machine Learning Pipeline on AWS is a four-day instructor-led course that provides hands-on experience in building, training, evaluating, tuning, and deploying machine learning models using Amazon SageMaker. Participants will learn how to solve real-world business problems with machine learning.
What You Will Learn
- Build a machine learning pipeline on AWS using Amazon SageMaker
- Train, evaluate, and tune machine learning models
- Scale and automate the machine learning pipeline using AWS services
- Deploy machine learning models in a production environment
- Solve real-world business problems using machine learning
Who This Course Is For
This course is designed for intermediate-level data scientists, data engineers, software developers, and IT professionals who want to learn how to build, train, and deploy machine learning models on AWS.
Requirements
- Basic understanding of machine learning concepts
- Familiarity with AWS services such as Amazon S3 and AWS IAM
- Laptop required
Course Syllabus
Benefits
- Machine learning pipeline expertise
- Real-world problem-solving skills
- Deployment and scaling proficiency
Frequently Asked Questions
The course will focus on Amazon SageMaker, but will also cover other AWS services such as Amazon S3 and AWS IAM.
Basic knowledge of AWS services such as Amazon S3 and AWS IAM is recommended.
Yes, participants are required to bring their own laptops.
