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AWS Certified Machine Learning Engineer - Associate MLA-C01 Certification Video Training Course
The complete solution to prepare for for your exam with AWS Certified Machine Learning Engineer - Associate MLA-C01 certification video training course. The AWS Certified Machine Learning Engineer - Associate MLA-C01 certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Amazon AWS Certified Machine Learning Engineer - Associate MLA-C01 exam dumps, study guide & practice test questions and answers.
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01:32:56 Hours
AWS Certified Machine Learning Engineer - Associate MLA-C01 Certification Video Training Course Exam Curriculum
1
Introduction
1 Lectures
Time 00:07:46
2
SageMaker: Basics & Setup
8 Lectures
Time 01:00:32
3
SageMaker: Data Preparation with Data Wrangler
14 Lectures
Time 01:38:43
4
SageMwker: Training & Hyperparameter Tuning
17 Lectures
Time 01:52:33
5
SageMaker: Experiment Tracking
5 Lectures
Time 00:33:36
6
Clarify & Responsible AI
7 Lectures
Time 00:49:59
7
SageMaker: Debugging & Deployment
12 Lectures
Time 01:13:41
8
SageMaker Monitoring Models
6 Lectures
Time 00:36:44
9
SageMaker: Pipelines & Model Registry
5 Lectures
Time 00:27:31
10
Machine Learning Concepts
11 Lectures
Time 01:09:38
11
AWS Machine Learning Services
28 Lectures
Time 03:04:45
12
Data Ingestion
6 Lectures
Time 00:36:02
13
Querying with Athena
6 Lectures
Time 00:27:52
14
AWS Data Processing Services
37 Lectures
Time 04:05:25
15
AWS Storage Solutions
24 Lectures
Time 02:21:51
16
AWS Security and Compliance
24 Lectures
Time 01:53:52
17
AWS Deployment and Orchestration Services
8 Lectures
Time 00:51:03
18
AWS Monitoring and Cost Management Tools
9 Lectures
Time 00:48:09
19
AWS AI Services
14 Lectures
Time 01:37:48
20
Practice Exam, Exam Tips & Scheduling
2 Lectures
Time 00:15:26
Introduction
-
7:46
1. About the exam & this course
SageMaker: Basics & Setup
-
6:18
1. AWS Free Tier Account
-
8:17
2. SageMaker Overview
-
6:14
3. SageMaker Notebooks
-
6:58
4. Setting Up SageMaker Notebook Instance
-
9:09
5. Basic Operations in SageMaker Notebook Instance
-
8:08
6. SageMaker Studio Setting Up Domain & Users
-
8:57
7. SageMaker Studio Overview
-
6:31
8. AWS Budgets
SageMaker: Data Preparation with Data Wrangler
-
4:38
1. Data Preparation with Data Wrangler
-
6:51
2. Import data using Data Wrangler
-
5:56
3. Data Wrangler - Get Insights
-
9:54
4. Data Wrangler Transform Data
-
6:48
5. Export Data in Data Wrangler
-
2:08
6. Stop Running Instances
-
10:22
7. Understanding Feature Engineering
-
5:24
8. SageMaker Feature Store
-
9:58
9. Feature Store - Creating Features & Feature Group
-
8:59
10. SageMaker Notebooks- Setting up Features
-
6:25
11. SageMaker Ground Truth
-
5:25
12. Setting up Groud Truth Workforce
-
14:25
13. Create Labeling Jobs in Groud Truth
-
1:30
14. Ground Truth Plus
SageMwker: Training & Hyperparameter Tuning
-
3:08
1. Training with Built-in Algorithms
-
6:17
2. SageMaker JumpStart
-
11:03
3. Deploy a Model Using JumpStart
-
9:00
4. Training Models - Potential Paths
-
10:53
5. Prepare The Training Of The Model
-
7:10
6. Train Model
-
2:26
7. Reviewing the Trained Model
-
4:38
8. Model Tuning & Hyperparameters
-
5:07
9. Hyperparamter Optimization Techniques
-
8:26
10. Hyperparameter Tuning in Notebooks
-
6:03
11. Hyperparameter Tuning in the UI
-
6:54
12. SageMaker Canvas
-
8:00
13. SageMaker Canvas Using AutoML
-
5:41
14. SageMaker Canvas Predict & Deploy
-
6:49
15. Custom Training Script
-
4:07
16. Custom Docker Containers
-
6:51
17. Distributed Training
SageMaker: Experiment Tracking
-
7:55
1. SageMaker Experiments
-
7:55
2. MLflow Setting Up Tracking Server
-
4:58
3. MLflow Setup Experiment
-
11:48
4. MLflow Track & Record Experiments
-
1:00
5. Delete Tracking Server
Clarify & Responsible AI
-
4:13
1. Challenges of Responsible Al
-
3:54
2. Strategies Against Bias & Variance
-
6:23
3. SageMaker Clarify
-
10:12
4. SageMaker Clarify Pre-Training Analysis
-
6:45
5. SageMaker Clarify Review Pre-Training Analysis
-
9:25
6. SageMaker Clarify Model Bias Analysis
-
9:07
7. SageMaker Clarify Explainability Report
SageMaker: Debugging & Deployment
-
4:13
1. SageMaker Debugger
-
15:22
2. SageMaker Debugger (Hands-on)
-
6:19
3. SageMaker Profiling
-
5:28
4. Model Deployment Strategies in SageMaker
-
6:42
5. Deploy Real-Time Inference Endpoint
-
3:20
6. Deploying Endpoint using Model Artifact
-
2:26
7. Serverless Inference Endpoint
-
5:24
8. Deploy Using Batch Transform
-
7:30
9. Deploy as Asynchronous Inference Endpoint
-
4:30
10. Multi-Model & Multi-Container Endpoints in SageMaker
-
6:53
11. Deploying a Multi-Model Endpoint
-
5:34
12. SageMaker Neo
SageMaker Monitoring Models
-
4:17
1. Monitoring Models
-
2:50
2. SageMaker Model Monitor
-
5:58
3. Monitoring Data Quality in SageMaker
-
5:10
4. Monitor Model Quality with SageMaker
-
10:43
5. Model Monitoring Create a Baseline
-
7:46
6. SageMaker Monitor Create a Schedule
SageMaker: Pipelines & Model Registry
-
4:58
1. SageMaker Pipelines
-
11:04
2. SageMaker Pipelines (Hands-on)
-
4:40
3. Model Registry
-
4:00
4. SageMaker Model Registry
-
2:49
5. Cleaning Up Resources
Machine Learning Concepts
-
7:48
1. Understanding Machine Learning Models
-
9:05
2. Supervised Learning
-
6:17
3. Unsupervised Learning
-
4:46
4. Text Analysis Algorithms
-
5:31
5. Image Classification
-
5:08
6. Reinforcement Learning
-
3:46
7. Reinforcement Learning with SageMaker
-
4:31
8. Model Evaluation Concepts
-
6:24
9. Performance Evaluation Metrics
-
7:57
10. Machine Learning Development Lifecycle
-
8:25
11. MLOps
AWS Machine Learning Services
-
8:16
1. What is Amazon Bedrock?
-
4:05
2. Amazon Bedrock - Architecture
-
1:49
3. Amazon Bedrock - Use Cases
-
8:53
4. Hands-on: Exploring Amazon Bedrock
-
1:40
5. Hands-on: Installing Visual Studio Code
-
2:28
6. Amazon Personalize
-
10:51
7. Hands-on: Dataset Group (Amazon Personalize)
-
3:08
8. Hands-on: Training Dataset (Amazon Personalize)
-
6:08
9. Hands-on: Train Model (Amazon Personalize)
-
6:59
10. Hands-on: Make Predictions (Amazon Personalize)
-
6:50
11. Amazon Fraud Detector
-
11:51
12. Setup & Event Type (Amazon Fraud Detector)
-
5:23
13. Build & Train Model (Amazon Fraud Detector)
-
9:07
14. Evaluate our Model (Amazon Fraud Detector)
-
10:03
15. Create Detector & Make Predictions (Amazon Fraud Detector)
-
6:52
16. Cleaning up Resources (Amazon Fraud Detector)
-
4:12
17. Amazon Augmented AI
-
7:17
18. Amazon Comprehend
-
6:42
19. Hands-on: Amazon Comprehend
-
5:17
20. Amazon Comprehend Medical Hands on
-
3:06
21. Amazon Rekognition
-
5:10
22. Hands-on: Amazon Rekognition
-
9:38
23. Hands-on: Using Rekognition in Lambda Function
-
6:35
24. Amazon Textract
-
7:58
25. Hands-on: Amazon Textract
-
6:27
26. Amazon Kendra
-
9:27
27. Hands-on: Create an Index & Sync (Amazon Kendra)
-
8:33
28. Hands-on: Create Experience (Amazon Kendra)
Data Ingestion
-
8:44
1. AWS S3 - Basics
-
4:19
2. Create a Bucket in S3 (Hands-on)
-
2:10
3. Uploading files to S3 (Hands-on)
-
2:56
4. Streaming vs Batch Ingestion
-
6:46
5. AWS Glue
-
11:07
6. Setting Up Crawlers (Hands-on)
Querying with Athena
-
4:20
1. AWS Athena - Overview
-
5:16
2. Query data using Athena (Hands-on)
-
2:18
3. Federated Queries
-
10:05
4. Performance & Cost
-
3:04
5. Workgroups
-
2:49
6. Workgroups (Hands-on)
AWS Data Processing Services
-
7:34
1. Glue Costs
-
13:19
2. Run Glue ETL Jobs (Hands-on)
-
3:36
3. Scheduling Crawlers & ETL Jobs (Hands-on)
-
5:10
4. Stateful vs Stateless
-
3:40
5. Stateless Data Ingestion in Glue (Hands-on)
-
5:03
6. Stateful Ingestion with Bookmarks (Hands-on)
-
5:09
7. Glue Transformations (ETL)
-
5:45
8. Glue Data Quality (Hands-on)
-
4:33
9. Glue Workflows
-
7:33
10. Glue Workflows - (Hands-on)
-
6:43
11. Glue Job Types
-
2:32
12. Glue Job Types (Hands-on)
-
2:55
13. Partitioning
-
6:16
14. AWS Glue DataBrew
-
7:43
15. AWS Glue DataBrew - Transformations
-
10:09
16. AWS Glue DataBrew (Hands-On)
-
7:07
17. AWS Lambda
-
10:07
18. Event-Driven Ingestion with AWS Lambda (Hands-on)
-
4:13
19. Lambda Layers
-
5:57
20. Reability
-
3:34
21. Amazon Kinesis for Streaming Data
-
9:57
22. Amazon Kinesis Data Streams
-
4:20
23. Throughput and Latency
-
5:05
24. Creating a Data Stream (Hands-on)
-
5:25
25. Enhanced Fan-Out for Kinesis Consumers
-
7:59
26. Calling a Lambda Function From Amazon Kinesis (Hands-on)
-
10:53
27. Common Issues & Troubleshooting
-
12:32
28. Kinesis Firehose
-
7:02
29. Creating Data Firehose Stream (Hands-on)
-
7:43
30. Data Firehose - Transformations with Lambda (Hands-on)
-
8:31
31. Amazon Managed Service for Apache Flink
-
9:07
32. Amazon MSK
-
2:49
33. MSK Connect & MSK Serverless
-
12:11
34. Amazon EMR
-
5:54
35. AWS EMR Cluster Types & Storage
-
3:47
36. AWS EMR Storage & Scaling
-
3:32
37. AWS EMR Deployment Options
AWS Storage Solutions
-
3:06
1. Importance of Partitioning
-
11:42
2. Partitioning with Glue (Hands-on)
-
10:18
3. Lifecycle Management & Storage Classes
-
1:37
4. Using Lifecycle Rules
-
5:02
5. Storage Classes (Hands-on)
-
4:13
6. Intelligent Tiering (Hands-on)
-
4:39
7. Lifecycle Rules (Hands-on)
-
5:56
8. Versioning in S3
-
10:08
9. Versioning (Hands-on)
-
6:36
10. Replication
-
6:38
11. Replication (Hands-on)
-
6:27
12. Security in S3
-
4:11
13. Security (Hands-on)
-
2:26
14. Bucket Policies
-
2:31
15. Access Points in S3
-
3:29
16. Object Lambda
-
4:48
17. S3 Event Notifications
-
8:44
18. S3 Event Notifications (Hands-on)
-
3:50
19. Data Mesh
-
2:33
20. Data Exchange
-
6:41
21. Amazon Elastic Block Store (EBS)
-
9:24
22. EBS Provisioning
-
9:01
23. EBS Volumes (Hands-on)
-
7:51
24. Amazon Elastic File System (EFS)
AWS Security and Compliance
-
2:30
1. IAM Overview
-
5:11
2. IAM Users, Groups & Role
-
8:30
3. IAM Policies
-
4:25
4. IAM Create User (Hands-on)
-
6:00
5. IAM Policies (Hands-on)
-
5:14
6. IAM Create Groups & Roles (Hands-on)
-
8:54
7. AWS KMS Overview
-
4:25
8. AWS KMS Key Management & Pricing
-
8:00
9. AWS KMS Cross-Region & Cross-Account
-
2:45
10. AWS Macie
-
5:36
11. AWS Secrets
-
5:20
12. AWS Secrets (Hands-on)
-
3:12
13. AWS Shield
-
2:58
14. Virtual Private Cloud & Subnets
-
2:25
15. Gateways
-
2:32
16. VPN & VPC Peering
-
1:19
17. Security Groups & NACLs
-
1:22
18. Additional VPC features
-
8:09
19. AWS CloudTrail
-
1:41
20. AWS CloudTrail Lake
-
6:25
21. AWS Config
-
7:19
22. AWS Config (Hands-on)
-
4:53
23. AWS Well-Architected Framework
-
4:47
24. AWS Well-Architected Tool
AWS Deployment and Orchestration Services
-
5:11
1. AWS CloudFormation
-
8:37
2. AWS CloudFormation (Hands-on)
-
8:37
3. Docker Containers
-
5:39
4. Amazon ECS
-
8:40
5. Amazon ECS - Launch Types
-
1:59
6. Amazon ECS - IAM Roles
-
4:46
7. Amazon ECR
-
7:34
8. Amazon EKS
AWS Monitoring and Cost Management Tools
-
5:32
1. Amazon CloudWatch Overview
-
6:22
2. Amazon CloudWatch Metrics (Hands-on)
-
2:36
3. Amazon CloudWatch Metrics Stream
-
4:51
4. Amazon CloudWatch Alarms
-
9:19
5. CloudWatch Alarms (Hands-on)
-
3:31
6. Amazon CloudWatch Logs
-
9:30
7. CloudWatch Logs (Hands-on)
-
4:13
8. Amazon CloudWatch Log Filtering & Subscription
-
2:15
9. Amazon CloudWatch Logs Agent
AWS AI Services
-
8:28
1. What is Amazon Q Business
-
14:06
2. Hands-on: Create Amazon Q Business Application
-
7:40
3. Hands-on: Assign Users & Test Application
-
6:24
4. Hands-on: Using Global Controls
-
2:39
5. Hands-on: Blocking Words
-
6:44
6. Hands-on: Topic Controls
-
8:11
7. Amazon Transcribe
-
11:16
8. Hands-on: Amazon Transcribe
-
3:12
9. Amazon Polly
-
5:09
10. Hands-on: Pricing & Models (Amazon Polly)
-
4:01
11. Hands-on: Text-to-Speech (Amazon Polly)
-
5:15
12. Hands-on: SSML to modify speech output (Amazon Polly)
-
5:31
13. Hands-on: Real-time translation (Amazon Translate)
-
9:12
14. Hands-on: Batch job translation (Amazon Translate)
Practice Exam, Exam Tips & Scheduling
-
8:10
1. Exam Signup & Get 30min more time!
-
7:16
2. Final Exam Tips
About AWS Certified Machine Learning Engineer - Associate MLA-C01 Certification Video Training Course
AWS Certified Machine Learning Engineer - Associate MLA-C01 certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
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AWS Certified Machine Learning Engineer - Associate MLA-C01 Premium Bundle
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- Premium File 270 Questions & Answers. Last update: Jul 30, 2026
- Training Course 244 Video Lectures
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| Free AWS Certified Machine Learning Engineer - Associate MLA-C01 Exam Questions & Amazon AWS Certified Machine Learning Engineer - Associate MLA-C01 Dumps | ||
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