AWS MLOps Course – Enterprise Ready –
AWS Enterprise MLOps Mastery: Build, Deploy, and Scale ML Models
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date 2024-12-16 09:59:26
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AWS Enterprise MLOps Mastery: Build, Deploy, and Scale ML Models
The course aims to equip learners with expert-level skills in building, deploying, and scaling machine learning (ML) models using AWS Enterprise MLOps practices. The 35-hour program consists of 9 modules, covering topics such as:
- Introduction to AWS Enterprise MLOps practices and services
- MLOps pipeline automation with AWS
- Deployment and orchestration of ML models
- Building machine learning models on AWS
- Data engineering and feature management
- Monitoring and governance of ML models
- Infrastructure as code with AWS CDK
- Advanced model life cycle management
- End-to-end project implementation and certification guidance
The course provides hands-on training in implementing MLOps practices using AWS services such as SageMaker, Lambda, Step Functions, and more. Learners will gain expertise in automating ML pipelines, deploying scalable models, and monitoring model performance and governance.
Key benefits:
- Master the art of building, deploying, and scaling ML models on AWS
- Learn to implement MLOps practices using AWS services
- Gain practical skills in automating ML pipelines, deployment, and monitoring
- Prepare for the AWS Machine Learning Specialty certification
Enrollment details:
- Duration: 35 hours
- Schedule: 2.5 hours, Saturday and Sunday, 10:00 PM – 12:30 AM IST
- Prerequisites: AWS account and basic knowledge of machine learning
- Includes lifetime access to the portal, session recordings, and new batch upgrades
Join the course and elevate your skills in MLOps, machine learning, and cloud computing.
