Master mla-c01 with our Classroom and Online AWS Certified Machine Learning Engineer - Associate Training at WebAsha Technologies. It builds the knowledge and skills validated by the AWS AWS Certified Machine Learning Engineer - Associate exam.
Training Overview:
validates the skills to build, deploy, operationalize and maintain machine-learning solutions and pipelines on AWS. It covers data preparation, model development and training, ML deployment and orchestration (MLOps), and monitoring, security and maintenance - using Amazon SageMaker and related services - preparing you for the MLA-C01 exam.
Intended Audience:
This course is ideal for aspiring and practising ML engineers, data scientists and MLOps engineers who want to build and operationalize ML on AWS.
Topics Covered:
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Data Preparation: Ingest and engineer features.
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Model Development: Train and tune models.
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SageMaker: Build with Amazon SageMaker.
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ML Deployment: Deploy models to production.
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MLOps: Orchestrate ML pipelines.
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Monitoring: Monitor model performance and drift.
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Security: Secure ML workloads.
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Maintenance: Maintain ML systems.
Requirements:
A stable internet connection and a laptop/desktop are recommended for online participants; the program includes expert-led sessions and practice tests.
Pre-Requisites:
AWS recommends about one year of ML and AWS experience; Cloud Practitioner or AI Practitioner knowledge and Python help before MLA.
Career Benefits:
ML engineering is booming. In India, AWS ML Engineer certified professionals typically earn ₹6 LPA to ₹42+ LPA.