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Master key skills to ace the MLA-C01 exam and build cloud-based machine learning solutions with AWS
This focused course offers:
Designed for software developers, data scientists, ML engineers, and DevOps professionals, the course combines hands-on projects with theoretical knowledge to help you confidently design, deploy, and manage scalable ML solutions. Gain practical experience and earn the AWS MLA-C01 certification to boost your career in cloud-based machine learning systems.
You will also get project files in the course to further enhance your hands-on knowledge.
Related Learning:
Skill Level:
Intermediate to advanced
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Module 1: Data Preparation for Machine Learning
Lesson 1: Data Ingestion and Storage Basics
Lesson 2: Data Transformation and Feature Engineering with SageMaker
Lesson 3: Preparing Data for Modeling
Module 2: ML Model Development
Lesson 4: Choosing and Training Models in SageMaker
Lesson 5: Model Evaluation and Bias Detection
Module 3: Deployment and Orchestration of ML Workflows
Lesson 6: Deploying Models with SageMaker
Lesson 7: Automating ML Workflows with SageMaker Pipelines
Module 4: ML Solution Monitoring, Maintenance, and Security
Lesson 8: Monitoring and Optimizing ML Solutions
Lesson 9: Securing ML Models and Data in SageMaker
Module 5: Exam Preparation and Strategy
Lesson 10: Exam Strategies and Practice