AWS Certified Machine Learning Engineer Associate Training
About This Course
The WSQ AWS Certified Machine Learning Engineer Associate Training equips you with essential skills to handle machine learning projects on AWS platforms. You will learn to validate and prepare data for ML, ensuring accuracy, cleanliness, and integrity. The course covers key machine learning methodologies and metrics to develop and refine effective ML models. You will also explore AWS tools and software to deploy machine learning workflows, resolve data quality issues, and implement automated CI/CD pipelines.
In addition, this training will help you utilize machine learning for predictive analytics and business solutions, addressing organizational challenges with data-driven insights. You will gain expertise in monitoring, maintaining, and securing ML solutions on AWS, optimizing infrastructure, and managing costs to ensure the successful deployment of machine learning initiatives.
What You'll Learn
LO1: Validate data for machine learning and ensure its accuracy, cleanliness, and integrity.
LO2: Review machine learning (ML) methodologies and key metrics to develop suitable ML models.
LO3: Deploy ML workflows and using AWS software to resolve data quality issues.
LO4: Propose business solutions using ML predictive analytics for solving organizational problems.
Course Outline:
Topic 1: Data Preparation for Machine Learning (ML)
• Ingest and store data.
• Transform data and perform feature engineering.
• Ensure data integrity and prepare data for modeling.
Topic 2: ML Model Development
• Choose a modeling approach.
• Train and refine models.
• Analyze model performance.
Topic 3: Deployment and Orchestration of ML Workflows
• Select deployment infrastructure based on existing architecture and requirements.
• Create and script infrastructure based on existing architecture and requirements.
• Use automated orchestration tools to set up continuous integration and continuous delivery (CI/CD) pipelines.
Topic 4: ML Solution Monitoring, Maintenance, and Security
• Monitor model inference.
• Monitor and optimize infrastructure and costs.
• Secure AWS resources.
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
Target Year Group : 21-65 years old