AWS ML Engineer Associate Guided Course

This guided course is for learners who want a structured path through AWS Certified Machine Learning Engineer - Associate. Start with ordered lessons, answer exam-style questions, review explanations, and use Practice Mode afterward to test retention.

• Follow an ordered AWS ML Engineer Associate course path instead of starting with random questions.
• Use source-backed scenarios to connect concepts to practical administration decisions.
• Review why the correct answer fits and why the distractors do not.
• Track course progress on this device and return to the next lesson later.
• Move from guided learning into Practice Mode when you are ready to check retention and speed.

The full course continues in order. These early lessons are crawlable here so you can see the shape of the path before the interactive course loads.

1. Lesson 1: The online store
   Lesson 1 uses The online store to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
2. Lesson 2: The offline store
   Lesson 2 uses The offline store to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
3. Lesson 3: A shared Feature Store repository for reusable feat
   Lesson 3 uses A shared Feature Store repository for reusable feat to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
4. Lesson 4: Use the same managed feature definitions for both o
   Lesson 4 uses Use the same managed feature definitions for both o to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
5. Lesson 5: The Feature Store offline store
   Lesson 5 uses The Feature Store offline store to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
6. Lesson 6: Configure the Feature Group with an S3 storage path
   Lesson 6 uses Configure the Feature Group with an S3 storage path to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
7. Lesson 7: Query the offline store S3 data using Athena with a
   Lesson 7 uses Query the offline store S3 data using Athena with a to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
8. Lesson 8: Run an Amazon SageMaker Clarify processing job on t
   Lesson 8 uses Run an Amazon SageMaker Clarify processing job on t to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
9. Lesson 9: Amazon EMR Serverless
   Lesson 9 uses Amazon EMR Serverless to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
10. Lesson 10: Increase the provisioned write capacity units (WCUs
    Lesson 10 uses Increase the provisioned write capacity units (WCUs to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).