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

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Curriculum for AWS Certified Machine Learning Engineer - Associate MLA-C01 Certification Video Course

Introduction

1 Lectures

Time 00:07:46

SageMaker: Basics & Setup

8 Lectures

Time 01:00:32

SageMaker: Data Preparation with Data Wrangler

14 Lectures

Time 01:38:43

SageMwker: Training & Hyperparameter Tuning

17 Lectures

Time 01:52:33

SageMaker: Experiment Tracking

5 Lectures

Time 00:33:36

Clarify & Responsible AI

7 Lectures

Time 00:49:59

SageMaker: Debugging & Deployment

12 Lectures

Time 01:13:41

SageMaker Monitoring Models

6 Lectures

Time 00:36:44

SageMaker: Pipelines & Model Registry

5 Lectures

Time 00:27:31

Machine Learning Concepts

11 Lectures

Time 01:09:38

AWS Machine Learning Services

28 Lectures

Time 03:04:45

Data Ingestion

6 Lectures

Time 00:36:02

Querying with Athena

6 Lectures

Time 00:27:52

AWS Data Processing Services

37 Lectures

Time 04:05:25

AWS Storage Solutions

24 Lectures

Time 02:21:51

AWS Security and Compliance

24 Lectures

Time 01:53:52

AWS Deployment and Orchestration Services

8 Lectures

Time 00:51:03

AWS Monitoring and Cost Management Tools

9 Lectures

Time 00:48:09

AWS AI Services

14 Lectures

Time 01:37:48

Practice Exam, Exam Tips & Scheduling

2 Lectures

Time 00:15:26

Name of Video	Time
1. About the exam & this course	7:46

Name of Video	Time
1. AWS Free Tier Account	6:18
2. SageMaker Overview	8:17
3. SageMaker Notebooks	6:14
4. Setting Up SageMaker Notebook Instance	6:58
5. Basic Operations in SageMaker Notebook Instance	9:09
6. SageMaker Studio Setting Up Domain & Users	8:08
7. SageMaker Studio Overview	8:57
8. AWS Budgets	6:31

Name of Video	Time
1. Data Preparation with Data Wrangler	4:38
2. Import data using Data Wrangler	6:51
3. Data Wrangler - Get Insights	5:56
4. Data Wrangler Transform Data	9:54
5. Export Data in Data Wrangler	6:48
6. Stop Running Instances	2:08
7. Understanding Feature Engineering	10:22
8. SageMaker Feature Store	5:24
9. Feature Store - Creating Features & Feature Group	9:58
10. SageMaker Notebooks- Setting up Features	8:59
11. SageMaker Ground Truth	6:25
12. Setting up Groud Truth Workforce	5:25
13. Create Labeling Jobs in Groud Truth	14:25
14. Ground Truth Plus	1:30

Name of Video	Time
1. Training with Built-in Algorithms	3:08
2. SageMaker JumpStart	6:17
3. Deploy a Model Using JumpStart	11:03
4. Training Models - Potential Paths	9:00
5. Prepare The Training Of The Model	10:53
6. Train Model	7:10
7. Reviewing the Trained Model	2:26
8. Model Tuning & Hyperparameters	4:38
9. Hyperparamter Optimization Techniques	5:07
10. Hyperparameter Tuning in Notebooks	8:26
11. Hyperparameter Tuning in the UI	6:03
12. SageMaker Canvas	6:54
13. SageMaker Canvas Using AutoML	8:00
14. SageMaker Canvas Predict & Deploy	5:41
15. Custom Training Script	6:49
16. Custom Docker Containers	4:07
17. Distributed Training	6:51

Name of Video	Time
1. SageMaker Experiments	7:55
2. MLflow Setting Up Tracking Server	7:55
3. MLflow Setup Experiment	4:58
4. MLflow Track & Record Experiments	11:48
5. Delete Tracking Server	1:00

Name of Video	Time
1. Challenges of Responsible Al	4:13
2. Strategies Against Bias & Variance	3:54
3. SageMaker Clarify	6:23
4. SageMaker Clarify Pre-Training Analysis	10:12
5. SageMaker Clarify Review Pre-Training Analysis	6:45
6. SageMaker Clarify Model Bias Analysis	9:25
7. SageMaker Clarify Explainability Report	9:07

Name of Video	Time
1. SageMaker Debugger	4:13
2. SageMaker Debugger (Hands-on)	15:22
3. SageMaker Profiling	6:19
4. Model Deployment Strategies in SageMaker	5:28
5. Deploy Real-Time Inference Endpoint	6:42
6. Deploying Endpoint using Model Artifact	3:20
7. Serverless Inference Endpoint	2:26
8. Deploy Using Batch Transform	5:24
9. Deploy as Asynchronous Inference Endpoint	7:30
10. Multi-Model & Multi-Container Endpoints in SageMaker	4:30
11. Deploying a Multi-Model Endpoint	6:53
12. SageMaker Neo	5:34

Name of Video	Time
1. Monitoring Models	4:17
2. SageMaker Model Monitor	2:50
3. Monitoring Data Quality in SageMaker	5:58
4. Monitor Model Quality with SageMaker	5:10
5. Model Monitoring Create a Baseline	10:43
6. SageMaker Monitor Create a Schedule	7:46

Name of Video	Time
1. SageMaker Pipelines	4:58
2. SageMaker Pipelines (Hands-on)	11:04
3. Model Registry	4:40
4. SageMaker Model Registry	4:00
5. Cleaning Up Resources	2:49

Name of Video	Time
1. Understanding Machine Learning Models	7:48
2. Supervised Learning	9:05
3. Unsupervised Learning	6:17
4. Text Analysis Algorithms	4:46
5. Image Classification	5:31
6. Reinforcement Learning	5:08
7. Reinforcement Learning with SageMaker	3:46
8. Model Evaluation Concepts	4:31
9. Performance Evaluation Metrics	6:24
10. Machine Learning Development Lifecycle	7:57
11. MLOps	8:25

Name of Video	Time
1. What is Amazon Bedrock?	8:16
2. Amazon Bedrock - Architecture	4:05
3. Amazon Bedrock - Use Cases	1:49
4. Hands-on: Exploring Amazon Bedrock	8:53
5. Hands-on: Installing Visual Studio Code	1:40
6. Amazon Personalize	2:28
7. Hands-on: Dataset Group (Amazon Personalize)	10:51
8. Hands-on: Training Dataset (Amazon Personalize)	3:08
9. Hands-on: Train Model (Amazon Personalize)	6:08
10. Hands-on: Make Predictions (Amazon Personalize)	6:59
11. Amazon Fraud Detector	6:50
12. Setup & Event Type (Amazon Fraud Detector)	11:51
13. Build & Train Model (Amazon Fraud Detector)	5:23
14. Evaluate our Model (Amazon Fraud Detector)	9:07
15. Create Detector & Make Predictions (Amazon Fraud Detector)	10:03
16. Cleaning up Resources (Amazon Fraud Detector)	6:52
17. Amazon Augmented AI	4:12
18. Amazon Comprehend	7:17
19. Hands-on: Amazon Comprehend	6:42
20. Amazon Comprehend Medical Hands on	5:17
21. Amazon Rekognition	3:06
22. Hands-on: Amazon Rekognition	5:10
23. Hands-on: Using Rekognition in Lambda Function	9:38
24. Amazon Textract	6:35
25. Hands-on: Amazon Textract	7:58
26. Amazon Kendra	6:27
27. Hands-on: Create an Index & Sync (Amazon Kendra)	9:27
28. Hands-on: Create Experience (Amazon Kendra)	8:33

Name of Video	Time
1. AWS S3 - Basics	8:44
2. Create a Bucket in S3 (Hands-on)	4:19
3. Uploading files to S3 (Hands-on)	2:10
4. Streaming vs Batch Ingestion	2:56
5. AWS Glue	6:46
6. Setting Up Crawlers (Hands-on)	11:07

Name of Video	Time
1. AWS Athena - Overview	4:20
2. Query data using Athena (Hands-on)	5:16
3. Federated Queries	2:18
4. Performance & Cost	10:05
5. Workgroups	3:04
6. Workgroups (Hands-on)	2:49

Name of Video	Time
1. Glue Costs	7:34
2. Run Glue ETL Jobs (Hands-on)	13:19
3. Scheduling Crawlers & ETL Jobs (Hands-on)	3:36
4. Stateful vs Stateless	5:10
5. Stateless Data Ingestion in Glue (Hands-on)	3:40
6. Stateful Ingestion with Bookmarks (Hands-on)	5:03
7. Glue Transformations (ETL)	5:09
8. Glue Data Quality (Hands-on)	5:45
9. Glue Workflows	4:33
10. Glue Workflows - (Hands-on)	7:33
11. Glue Job Types	6:43
12. Glue Job Types (Hands-on)	2:32
13. Partitioning	2:55
14. AWS Glue DataBrew	6:16
15. AWS Glue DataBrew - Transformations	7:43
16. AWS Glue DataBrew (Hands-On)	10:09
17. AWS Lambda	7:07
18. Event-Driven Ingestion with AWS Lambda (Hands-on)	10:07
19. Lambda Layers	4:13
20. Reability	5:57
21. Amazon Kinesis for Streaming Data	3:34
22. Amazon Kinesis Data Streams	9:57
23. Throughput and Latency	4:20
24. Creating a Data Stream (Hands-on)	5:05
25. Enhanced Fan-Out for Kinesis Consumers	5:25
26. Calling a Lambda Function From Amazon Kinesis (Hands-on)	7:59
27. Common Issues & Troubleshooting	10:53
28. Kinesis Firehose	12:32
29. Creating Data Firehose Stream (Hands-on)	7:02
30. Data Firehose - Transformations with Lambda (Hands-on)	7:43
31. Amazon Managed Service for Apache Flink	8:31
32. Amazon MSK	9:07
33. MSK Connect & MSK Serverless	2:49
34. Amazon EMR	12:11
35. AWS EMR Cluster Types & Storage	5:54
36. AWS EMR Storage & Scaling	3:47
37. AWS EMR Deployment Options	3:32

Name of Video	Time
1. Importance of Partitioning	3:06
2. Partitioning with Glue (Hands-on)	11:42
3. Lifecycle Management & Storage Classes	10:18
4. Using Lifecycle Rules	1:37
5. Storage Classes (Hands-on)	5:02
6. Intelligent Tiering (Hands-on)	4:13
7. Lifecycle Rules (Hands-on)	4:39
8. Versioning in S3	5:56
9. Versioning (Hands-on)	10:08
10. Replication	6:36
11. Replication (Hands-on)	6:38
12. Security in S3	6:27
13. Security (Hands-on)	4:11
14. Bucket Policies	2:26
15. Access Points in S3	2:31
16. Object Lambda	3:29
17. S3 Event Notifications	4:48
18. S3 Event Notifications (Hands-on)	8:44
19. Data Mesh	3:50
20. Data Exchange	2:33
21. Amazon Elastic Block Store (EBS)	6:41
22. EBS Provisioning	9:24
23. EBS Volumes (Hands-on)	9:01
24. Amazon Elastic File System (EFS)	7:51

Name of Video	Time
1. IAM Overview	2:30
2. IAM Users, Groups & Role	5:11
3. IAM Policies	8:30
4. IAM Create User (Hands-on)	4:25
5. IAM Policies (Hands-on)	6:00
6. IAM Create Groups & Roles (Hands-on)	5:14
7. AWS KMS Overview	8:54
8. AWS KMS Key Management & Pricing	4:25
9. AWS KMS Cross-Region & Cross-Account	8:00
10. AWS Macie	2:45
11. AWS Secrets	5:36
12. AWS Secrets (Hands-on)	5:20
13. AWS Shield	3:12
14. Virtual Private Cloud & Subnets	2:58
15. Gateways	2:25
16. VPN & VPC Peering	2:32
17. Security Groups & NACLs	1:19
18. Additional VPC features	1:22
19. AWS CloudTrail	8:09
20. AWS CloudTrail Lake	1:41
21. AWS Config	6:25
22. AWS Config (Hands-on)	7:19
23. AWS Well-Architected Framework	4:53
24. AWS Well-Architected Tool	4:47

Name of Video	Time
1. AWS CloudFormation	5:11
2. AWS CloudFormation (Hands-on)	8:37
3. Docker Containers	8:37
4. Amazon ECS	5:39
5. Amazon ECS - Launch Types	8:40
6. Amazon ECS - IAM Roles	1:59
7. Amazon ECR	4:46
8. Amazon EKS	7:34

Name of Video	Time
1. Amazon CloudWatch Overview	5:32
2. Amazon CloudWatch Metrics (Hands-on)	6:22
3. Amazon CloudWatch Metrics Stream	2:36
4. Amazon CloudWatch Alarms	4:51
5. CloudWatch Alarms (Hands-on)	9:19
6. Amazon CloudWatch Logs	3:31
7. CloudWatch Logs (Hands-on)	9:30
8. Amazon CloudWatch Log Filtering & Subscription	4:13
9. Amazon CloudWatch Logs Agent	2:15

Name of Video	Time
1. What is Amazon Q Business	8:28
2. Hands-on: Create Amazon Q Business Application	14:06
3. Hands-on: Assign Users & Test Application	7:40
4. Hands-on: Using Global Controls	6:24
5. Hands-on: Blocking Words	2:39
6. Hands-on: Topic Controls	6:44
7. Amazon Transcribe	8:11
8. Hands-on: Amazon Transcribe	11:16
9. Amazon Polly	3:12
10. Hands-on: Pricing & Models (Amazon Polly)	5:09
11. Hands-on: Text-to-Speech (Amazon Polly)	4:01
12. Hands-on: SSML to modify speech output (Amazon Polly)	5:15
13. Hands-on: Real-time translation (Amazon Translate)	5:31
14. Hands-on: Batch job translation (Amazon Translate)	9:12

Name of Video	Time
1. Exam Signup & Get 30min more time!	8:10
2. Final Exam Tips	7:16

Amazon AWS Certified Machine Learning Engineer - Associate MLA-C01 Exam Dumps, Practice Test Questions

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Premium File: 270 Questions & Answers. Last update: Jul 22, 2026
Training Course: 244 Video Lectures
Study Guide: 548 Pages

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AWS Certified Machine Learning Engineer - Associate MLA-C01 Premium Bundle

Premium File: 270 Questions & Answers. Last update: Jul 22, 2026
Training Course: 244 Video Lectures
Study Guide: 548 Pages

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100% Accurate Answers
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$79.97

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Amazon AWS Certified Machine Learning Engineer - Associate MLA-C01 Training Course

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