The Machine Learning Pipeline On AWS
Instructor-led AWS-aligned training in The Machine Learning Pipeline On AWS. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
This course provides an in-depth exploration of the machine learning pipeline using Amazon Web Services (AWS). Participants will learn how to build, train, and deploy machine learning models in a scalable and efficient manner, leveraging the powerful tools and services offered by AWS.
What you'll learn
- You will be able to design a machine learning pipeline using AWS services.
- You will be able to preprocess and clean data for machine learning applications.
- You will be able to select appropriate machine learning algorithms based on business requirements.
- You will be able to train and evaluate machine learning models using AWS SageMaker.
- You will be able to deploy machine learning models to production environments on AWS.
- You will be able to monitor and optimize the performance of deployed models.
Curriculum
6 modules · outline is indicative and can be tailored to your team.
1Introduction to Machine Learning on AWS
- Overview of machine learning concepts
- Key AWS services for machine learning
- Understanding the machine learning lifecycle
2Data Preparation and Preprocessing
- Data collection and storage on AWS
- Data cleaning techniques
- Feature engineering and selection
3Building Machine Learning Models
- Introduction to AWS SageMaker
- Choosing the right algorithms
- Model training and validation
4Model Deployment and Management
- Deploying models using SageMaker endpoints
- Setting up model monitoring
- Versioning and updating models
5Advanced Topics in Machine Learning
- Hyperparameter tuning
- Using AutoML features in SageMaker
- Integrating with other AWS services
6Case Studies and Real-world Applications
- Analyzing successful machine learning projects
- Industry-specific use cases
- Best practices and lessons learned
Prerequisites
Basic understanding of machine learning concepts is recommended.
Who should attend
This course is designed for data scientists, machine learning engineers, and IT professionals looking to enhance their skills in AWS machine learning.
Certification
Prepares you for the official AWS certification exam.
Skilvi is an independent training provider and is not affiliated with, or endorsed by, AWS. Trademarks are the property of their respective owners.
Frequently asked questions
What is the format of the course?
The course is delivered in a live-online format, allowing for interactive participation.
How long is the course?
The course spans 5 sessions, each lasting 2 hours.
Will I receive a certificate upon completion?
Yes, participants will receive an Skilvi course-completion certificate.
Are exam vouchers included?
Exam vouchers are available through authorized channels on request.
Do I need prior experience with AWS?
No prior experience required, but familiarity with basic AWS services is beneficial.
Pricing on request
- Live online (VILT)
- 24–32 hours
- Hands-on labs & assignments
- Skilvi completion certificate
- Exam voucher on request
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