AWS Certified Machine Learning

Synopsis

ICT369 AWS Certified Machine Learning aims to equip students with the skills and practical experience needed to select and apply machine learning services to resolve business problems. Students will learn to label, build, train, and deploy a custom machine learning model through a guided, hands-on approach. The labs and learning resources provide students with hands-on experience implementing a machine learning pipeline, using managed machine learning services for forecasting, computer vision and natural language processing. This course will prepare students to take the AWS Certified Machine Learning - Specialty Certification exam.

Level: 3
Credit Units: 5
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

Introducing Machine Learning
Implementing a Machine Learning pipeline with Amazon SageMaker
Introducing Forecasting
Introducing Computer Vision
Preparing custom datasets for computer vision
Introducing Natural Language Processing
Processing Text for NLP
Implementing Sentiment Analysis
Introducing Information Extraction
Introducing Topic Modeling
Working with Languages
Transcribing and vocalizing text with AWS services

Learning Outcome

Describe machine learning (ML) concepts.
Illustrate managed Amazon ML services for forecasting, computer vision, and natural language processing.
Evaluate various algorithms and approaches for a given NLP problem.
Create a machine learning pipeline using Amazon SageMaker.
Implement solutions to different NLP problems using AWS ML services.
Build and run an ML pipeline on AWS for an NLP-specific business problem.

Part-time Programmes / CET Courses

Singapore University of Social Sciences

AWS Certified Machine Learning