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

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  • 127 Students Enrolled
  • 244 Lectures
  • 1 Hours
  • 5.0 Rating
$27.49
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Curriculum For This Course

  • Introduction

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

  • SageMaker: Basics & Setup

    Video Name 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

  • SageMaker: Data Preparation with Data Wrangler

    Video Name 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

  • SageMwker: Training & Hyperparameter Tuning

    Video Name 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

  • SageMaker: Experiment Tracking

    Video Name 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

  • Clarify & Responsible AI

    Video Name 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

  • SageMaker: Debugging & Deployment

    Video Name 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

  • SageMaker Monitoring Models

    Video Name 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

  • SageMaker: Pipelines & Model Registry

    Video Name 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

  • Machine Learning Concepts

    Video Name 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

  • AWS Machine Learning Services

    Video Name 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

  • Data Ingestion

    Video Name 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

  • Querying with Athena

    Video Name 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

  • AWS Data Processing Services

    Video Name 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

  • AWS Storage Solutions

    Video Name 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

  • AWS Security and Compliance

    Video Name 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

  • AWS Deployment and Orchestration Services

    Video Name 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

  • AWS Monitoring and Cost Management Tools

    Video Name 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

  • AWS AI Services

    Video Name 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

  • Practice Exam, Exam Tips & Scheduling

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

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