About this Course

Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model in Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete

Outline

Day 1 Module 0: Introduction Module 1: Introduction to Machine Learning and the ML Pipeline Module 2: Introduction to Amazon SageMaker Module 3: Problem Formulation

Day 2 Module 3: Problem Formulation (continued) Module 4: Preprocessing

Day 3 Module 5: Model Training Module 6: Model Evaluation

Day 4 Module 7: Feature Engineering and Model Tuning Module 8: Deployment

Exam Details

AWS Exam: MLA - C01 - AWS Certified Machine Learning Engineer - Associate

Exam Pass Guarantee

At Microtrain we are committed to your success! Let us show you the return you get from great tech training. We will personally guarantee that if you take our class and follow our program you will be successfully certified!

Raves & Praise

Connect with MicroTrain

Begin building a successful long-term career pathway.

(630) 981-0200

Back to Top