- Course level
- Advanced
- Length
- 15 weeks
- Training hours
- 150
- Certifications
- AWS Machine Learning Engineer Associate
Per Scholas' AWS Machine Learning Engineer program develops specialized engineers who master the complete machine learning lifecycle, from data engineering with AWS Glue to deploying scalable models via Amazon SageMaker and AWS Bedrock.
Graduates drive innovation by automating MLOps pipelines and ensuring robust AI governance and security. Beyond technical prowess, Per Scholas integrates intensive professional readiness training, producing collaborative leaders who integrate instantly into complex corporate cultures.
By sourcing talent from Per Scholas, you're not just filling a vacancy. You're fortifying your organization's technological foundation, ensuring that it stands resilient against challenges, both present and future.
Objectives
- Accelerate ML Innovation: Build and train optimized machine learning models using Amazon SageMaker and AWS Bedrock to solve complex business challenges.
- Streamline MLOps Orchestration: Develop and automate robust machine learning pipelines that integrate CI/CD workflows and versioning for efficient production deployment.
- Ensure Data Governance and Security: Implement secure, scalable architectures using IAM policies and VPC endpoints while monitoring for model bias and performance to ensure ethical AI outcomes.
Employment roles
- AI Solutions Architect
- Data Science Engineer
- Machine Learning Engineer
Software and platforms
- Amazon Athena
- Amazon Augmented AI
- Amazon Bedrock
- Amazon CloudTrail
- Amazon CloudWatch
- Amazon SageMaker
- AWS CloudFormation
- AWS CodeBuild
- AWS CodePipeline
- AWS Glue
- AWS IAM
- AWS Lake Formation
- AWS Lambda
- Microsoft Office 365
- Slack
- Zoom
- AI-enabled Browser
- Amazon EC2
- Amazon Elastic Container Registry (ECR)
- Amazon EMR
- Amazon Kinesis
- Amazon S3
- AWS Batch
- AWS Cloud Development Kit (CDK)
- AWS Glue DataBrew
- AWS Key Management Service (KMS)
- AWS Secrets Manager
- AWS Step Functions
- SageMaker Clarify
- SageMaker Data Wrangler
- SageMaker Feature Store
- SageMaker JumpStart
- SageMaker Model Monitor
- SageMaker Pipelines
- SageMaker Studio
Talent Solutions Partners With You to Deliver:
- A robust pipeline of skilled, diverse professionals. Fill open roles immediately, develop customized talent cohorts for specialty skills, or upskill and reskill current employees.
- Professionals are equipped with skills like communication, presentation of complex ideas, and the ability to collaborate so they add value immediately thanks to our Professional Development courses.
- Through continued training and support for our Professionals, Per Scholas continues supporting alumni in their new roles, building toward your success, and generating higher staff retention for your company.