AWS Certified Machine Learning: Specialty (MLS-C01) Training in Wellington
 
                    Enroll in or hire us to teach our AWS Certified Machine Learning: Specialty (MLS-C01) class in Wellington,  Florida by calling us @303.377.6176.  Like all HSG
                    classes, AWS Certified Machine Learning: Specialty (MLS-C01) may be offered either onsite or via instructor led virtual training.  Consider looking at our public training schedule to see if it
                    is scheduled:  Public Training Classes
                    
                
                        Provided there are enough attendees, AWS Certified Machine Learning: Specialty (MLS-C01) may be taught at one of our local training facilities.  
                    
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                	 We offer private customized training for groups of 3 or more attendees.
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| Course Description | ||
| The AWS Certified Machine Learning - Specialty certification validates your understanding of foundational ML concepts, foundations of statistics, data analysis, exploration, feature engineering, and common ML algorithms. In addition to this, this certification focuses on your ability to deploy those solutions on AWS and to be able to architect an end-to-end solution on AWS from data ingestion to model deployment and monitoring using a host of relevant AWS services for a given business use case. 
                        Course Length: 5 Days Course Tuition: $2100 (US) | ||
| Prerequisites | |
| Course Outline | 
| 
	Lessons 1: Introduction 
	Lessons 2: AWS AI ML Stack 
	Lessons 3: Supporting Services from the AWS Stack 
	Lessons 4: Business Understanding 
	Lessons 5: Framing a Machine Learning Problem 
	Lessons 6: Data Collection 
	Lessons 7: Data Preparation 
	Lessons 8: Feature Engineering 
	Lessons 9: Model Training 
	Lessons 10: Model Evaluation 
	Lessons 11: Model Deployment and Inference 
	Lessons 12: Application Integration 
	Lessons 13: Operational Excellence Pillar for ML 
	Lessons 14: Security Pillar 
	Lessons 15: Reliability Pillar 
	Lessons 16: Performance Efficiency Pillar for ML 
	Lessons 17: Cost Optimization Pillar for ML 
	Lessons 18: Recent Updates in the AWS AI/ML Stack | 
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