Practical Data Science with
Amazon SageMaker
In this intermediate-level, 1-day course, you will discover ways to solve a real-world use case with machine learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for machine learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. A real-life use case includes customer retention analysis to inform customer loyalty programs.
Gain an understanding in:
- Prepare a dataset for training
- Train and evaluate a machine learning model
- Automatically tune a machine learning model
- Prepare a machine learning model for production
- And much more.
Level: Intermediate | Duration: 1 Day | Mode: Live Virtual
Date: 11 Dec 2021
Fee: RM 1,200
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Who is this course for?
- Developers
- Data scientists
What experience you require:
- Familiarity with Python programming language
- Basic understanding of machine learning
Associated Certification:
AWS Certified Machine Learning – Specialty
The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.
You will be validate in your ability to:
- Select and justify the appropriate ML approach for a given business problem
- Identify appropriate AWS services to implement ML solutions
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions
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