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Certified course
AWS Certified Machine Learning - Specialty Training
Expert
50-hour training for Machine Learning Specialty certification. Master SageMaker and AWS ML services, data preparation, and model training. Learn feature engineering, hyperparameter optimization, and deployment. Covers model monitoring, performance tracking, and maintenance. Certification for AWS data scientists and ML engineers.
999 €
- Format
- Présentiel
- Duration
- 50hours
- Provider
- Amazon Web Services
- Deadline
- 31/12/2026
Target audience
Public concerné
- Data scientists
- ML engineers
- Analytics engineers
- Data engineers
- AI specialists
- Data scientists
- ML engineers
- Analytics engineers
- Data engineers
- AI specialists
Prerequisites
Experience
- 2 years minimum ML/AI
- Python programming
- Statistics and ML knowledge
- AWS experience
Skills
- Machine learning
- Python/R
- Statistics
- AWS services
- 2 years minimum ML/AI
- Python programming
- Statistics and ML knowledge
- AWS experience
Skills
- Machine learning
- Python/R
- Statistics
- AWS services
Module 1: SageMaker
- Overview of SageMaker
- Instances of notebooks
- Integrated algorithms
Module 2: Data preparation
- Engineering of features
- Transformation of data
- Quality of data
Module 3: Training
- Selection of algorithms
- Optimization of hyperparameters
- Evaluation metrics
Module 4: Deployment
- Deployment of models
- Optimization of inferences
- Management of endpoints
Module 5: Operations
- Monitoring of models
- Tracking of performance
- Management of costs
- Overview of SageMaker
- Instances of notebooks
- Integrated algorithms
Module 2: Data preparation
- Engineering of features
- Transformation of data
- Quality of data
Module 3: Training
- Selection of algorithms
- Optimization of hyperparameters
- Evaluation metrics
Module 4: Deployment
- Deployment of models
- Optimization of inferences
- Management of endpoints
Module 5: Operations
- Monitoring of models
- Tracking of performance
- Management of costs
Practical information
- Enrolment terms and lead time
- Enrolment online or by email, up to 21 days before the session starts and subject to available seats — this lead time lets us send your joining instructions, then your access details for remote sessions. After that, write to us: we consider every request. For a tailored or on-site session, we reply within 48 working hours.
- Contact
- contact@caplogy.com — Contact us
- Accessibility and disability
- Our disability officer is available from enrolment through to the end of the course, to discuss the arrangements you need. Write to contact@caplogy.com.