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Certificate in Machine Learning on AWS

2025 NEW INTAKE |  CENTEXS Mukah

Certificate in Machine Learning on AWS equips trainees with cloud-based deep learning solutions, from building, training, and deploying ML models featuring real-life use case involving customer retention analysis. The trainees will also be exposed

Learning Outcome

Upon completion of this programme, the trainees will be able to:

  • Define and differentiate between machine learning and deep learning concepts and ecosystem
  • Prepare, train, and evaluate datasets for machine learning models
  • Automate model tuning and preparation for production and critically evaluate machine learning model results
  • Select appropriate ML approaches for specific business problems
  • Utilize the ML pipeline for problem-solving, train, evaluate, deploy, and optimize ML models using Amazon SageMaker
  • Apply machine learning to real-life business scenarios
  • Understand and implement machine learning operations
  • Build automated ML processes for model development, training, testing, and deployment
  • Recognize key aspects of model deployment, scaling, interference, and monitoring
  • Address challenges like bias detection, resource consumption, and latency in ML models
Entry Requirement

Bachelor Degree in Information Technology, Computer Science or related fields, or equivalent.

Career Pathway
  • AI Engineer
  • Machine Learning Engineer
Course Structure

This course is divided into twenty four (24) main modules as following:

Module 1
Introduction to Amazon Web Services
Module 2
Compute in the Cloud
Module 3
Global Infrastructure and Reliability
Module 4
Networking 1
Module 5
Storage and Databases
Module 6
Security
Module 7
Monitoring and Analytics
Module 8
Pricing and Support
Module 9
Migration and Innovation
Module 10
The Cloud Journey
Module 11
AWS Certified Cloud Practitioner Basics
Module 12
Architecting Fundamentals
Module 13
Account Security
Module 14
Networking 2
Module 15
Compute
Module 16
Storage
Module 17
Database Services
Module 18
Monitoring and Scaling
Module 19
Automation
Module 20
Containers
Module 21
Networking 3
Module 22
Serverless Architecture
Module 23
Edge Services
Module 24
Backup and Recovery
Training Duration
Training Duration
1.5 months
Delivery Method
Delivery Method
Hybrid (Physical/Online)
Course Fee
Course Fee
TBA
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