Amazon - Machine Learning Engineer Certificate Practice Exam

Amazon - Machine Learning Engineer Certificate Practice Exam free download

Amazon - Machine Learning Engineer Associate Complete Study Course +Practice Test Exams To Help you get Certified

Professionals who complete the AWS Certified Machine Learning Engineer-Associate course will have the knowledge and abilities necessary to create, train, implement, and enhance machine learning models with AWS services. Designed for future machine learning engineers, this program fills the knowledge gap between theory and practice in cloud-based machine learning.

Starting with data engineering, the course covers real-time data processing tools like Amazon Kinesis and storage options like Amazon S3. Participants will gain knowledge of feature engineering, data cleansing, and transformation activities utilizing tools like AWS Glue and SageMaker Data Wrangler.

The course then delves into model construction, instructing learners on how to choose the best algorithms, adjust hyperparameters, and assess models using metrics such as ROC-AUC and F1 score. Students will get experience training and refining models using SageMaker's built-in algorithms and frameworks, such as TensorFlow and PyTorch, through practical experiments.

MLOps are the focus of the deployment phase, which also introduces tools for workflow automation, model deployment with SageMaker endpoints, and CI/CD pipeline integration for scalability. Additionally, version control, cost optimization techniques, and best practices for implementing safe machine learning systems will be taught to participants.

Last but not least, the course covers monitoring and maintenance, emphasizing the use of AWS products such as SageMaker Model Monitor for continuous improvement, managing model performance, and identifying data drift.