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: Feature Store Online Store
   Lesson 1 uses Feature Store Online Store to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
2. Lesson 2: Feature Store Offline Store
   Lesson 2 uses Feature Store Offline Store to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
3. Lesson 3: Reusable Feature Definitions
   Lesson 3 uses Reusable Feature Definitions to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
4. Lesson 4: Training-Serving Feature Consistency
   Lesson 4 uses Training-Serving Feature Consistency to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
5. Lesson 5: Feature Store Training Data
   Lesson 5 uses Feature Store Training Data to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
6. Lesson 6: Feature Store Offline Partitioning
   Lesson 6 uses Feature Store Offline Partitioning to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
7. Lesson 7: Point-in-Time Feature Queries
   Lesson 7 uses Point-in-Time Feature Queries to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
8. Lesson 8: SageMaker Clarify Bias Analysis
   Lesson 8 uses SageMaker Clarify Bias Analysis to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
9. Lesson 9: EMR Serverless Feature Engineering
   Lesson 9 uses EMR Serverless Feature Engineering to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).
10. Lesson 10: Feature Store Online Write Capacity
    Lesson 10 uses Feature Store Online Write Capacity to connect Data Prep & Feature Engineering with Data Preparation and Feature Engineering (MLEA-01).