The Machine Learning Pipeline on AWS course material links

Please not that this is not a prep course for the “AWS Certified Machine Learning Engineer - Associate”, “AWS Certified Machine Learning - Specialty” or any other certification!

Full name: he Machine Learning Pipeline on AWS

Product code: 200-MLDWTS-15

These links are based on the course version 1.5.7.

Online and classroom course options: Advanced Developing on AWS

The official course material: eVantage Bookshelf (VitalSource)

Course Templates and Exercises:

• Student Project Template.docx
• Example Project.docx
• Problem Formulation Exercise.docx
• Problem Formulation Exercise Solutions.docx

Course surveys:

• Pre-assessment survey
• Checkpoint 1
• Checkpoint 2
• Checkpoint 3
• Post assessment survey

Additional material:

• AWS Skill Builder
• AWS Workshops
• AWS Builder Labs
• AWS Certification exam preparation
• AWS Certification
• AWS Recertification
• Explore all AWS Certification exams
• Schedule an Exam
• AWS Training and Certification
• AWS Online Tech Talks
• AWS Ramp-Up Guides

Module 1: Introduction to Machine Learning and the ML Pipeline

Websites

Books

Videos

Module 2: Introduction to Amazon SageMaker

Websites

Books

Videos

Module 3: Problem Formulation

Websites

• Label Training Data for Machine Learning

Books

Videos

Module 4: Data Preprocessing

Websites

• IO tools (text, CSV, HDF5, etc.
• Pandas DataFrame
• Interquartile range
• Dataset: Breast Cancer Wisconsin (Diagnostic)

Books

Videos

Module 5: Model Training

Websites

• Use Amazon SageMaker Built-in Algorithms or Pre-trained Models
• Common Data Formats for Training

Books

Videos

Module 6: Model Evaluation

Websites

Books

Videos

Module 7: Feature Engineering and Model Tuning

Websites

Books

Videos

Module 8: Model deployment

Websites

Books

Videos

Module 9: Course Wrap-up

Websites

Books

Videos