AWS Certified Machine Learning Engineer – Associate

Course Overview:

AWS Certified Machine Learning Engineer – Associate verifies the technical proficiency of deploying and operationalizing machine learning workloads in a production environment. Boost your reputation and career profile to put yourself in the best possible position for in-demand machine learning positions.

Prerequisite:

• • Data preparation for ML models
  • Feature engineering
  • Model training
  • Model performance and metrics
  • Model integration and deployment
  • Performance and cost optimization
  • Security

Audience:

Individuals who have 1 year of experience in machine learning engineering or a related field and 1 year of hands-on experience with AWS services

Topic 1: Data preparation for ML models

• Cleaning, transforming, and preparing data to ensure it’s suitable for machine learning model training

Topic 2: Feature engineering

• Selecting and creating features that enhance the predictive power of machine learning models

Topic 3: Model training

• Processes and best practices for training machine learning models using AWS services

Topic 4: Model performance and metrics

• Evaluation of model performance using metrics such as accuracy, precision, recall, and F1-score to assess effectiveness

Topic 5: Model integration and deployment

• Strategies for deploying trained machine learning models into production environments on AWS infrastructure

Topic 6: Performance and cost optimization

• Optimizing both the performance and cost efficiency of machine learning solutions deployed on AWS

Topic 7: Security

• Implementation of security measures and best practices to protect machine learning models, data, and infrastructure on AWS

Topic 8: Exam Preparation: AWS Certified Machine Learning – Associate (MLA-C01)