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Ultimate AWS Machine Learning Engineer Certification 2024

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25:50:25

  • 1 -Welcome!.mp4
    02:13
  • 2 -About the exam & this course.mp4
    07:59
  • 3 -Important tips for this course.mp4
    02:28
  • 4 -All Slides.pdf
  • 4 - All Slides.html
  • 1 -AWS Free Tier Account ML.mp4
    06:18
  • 3 -SageMaker Notebooks.mp4
    06:37
  • 4 -Setting Up SageMaker Notebook Instance.mp4
    06:58
  • 5 -Basic Operations in SageMaker Notebook Instance.mp4
    09:17
  • 6 -SageMaker Studio Setting Up Domain & Users.mp4
    08:08
  • 7 -SageMaker Studio Overview.mp4
    08:56
  • 8 -AWS Budgets Machine Learning.mp4
    06:32
  • 1 -Data Preparation with Data Wrangler.mp4
    04:38
  • 2 -Import data using Data Wrangler.mp4
    07:07
  • 3 -Data Wrangler - Get Insights.mp4
    05:56
  • 4 -Data Wrangler Transform Data.mp4
    09:55
  • 5 -Export Data in Data Wrangler.mp4
    06:58
  • 6 -Stop Running Instances.mp4
    02:08
  • 7 -Understanding Feature Engineering.mp4
    10:21
  • 8 -SageMaker Feature Store.mp4
    05:24
  • 9 -Feature Store - Creating Features & Feature Group.mp4
    09:58
  • 10 -SageMaker Notebooks- Setting up Features.mp4
    09:13
  • 10 -income data.csv
  • 10 -sagemaker feature store notebook with docs.zip
  • 11 -SageMaker Ground Truth.mp4
    06:25
  • 12 -Create Labeling Jobs in Groud Truth.mp4
    14:27
  • 12 -image.zip
  • 13 -Setting up Groud Truth Workforce.mp4
    06:53
  • 14 -Ground Truth Plus.mp4
    01:30
  • 1 -Training with Built-in Algorithms.mp4
    03:08
  • 2 -SageMaker JumpStart.mp4
    06:17
  • 3 -Deploy a Model Using JumpStart.mp4
    11:31
  • 4 -Training Models - Potential Paths.mp4
    09:00
  • 5 -Employee.csv
  • 5 -Prepare The Training Of The Model.mp4
    11:10
  • 5 -sagemaker employee attrition demo.zip
  • 6 -Train Model.mp4
    07:10
  • 7 -Reviewing the Trained Model.mp4
    02:26
  • 8 -Model Tuning & Hyperparameters.mp4
    04:38
  • 9 -Hyperparamter Optimization Techniques.mp4
    05:07
  • 10 -Hyperparameter Tuning.txt
  • 10 -Hyperparameter Tuning in Notebooks.mp4
    08:29
  • 11 -Hyperparameter Tuning in the UI.mp4
    08:29
  • 12 -SageMaker Canvas.mp4
    06:54
  • 14 -SageMaker Canvas Predict & Deploy.mp4
    05:41
  • 15 -Custom Training Script.mp4
    06:49
  • 16 -Custom Docker Containers.mp4
    04:07
  • 17 -Distributed Training.mp4
    06:51
  • 1 -SageMaker Experiments.mp4
    07:55
  • 2 -MLflow.zip
  • 2 -MLflow Setting Up Tracking Server.mp4
    08:05
  • 3 -MLflow Setup Experiment.mp4
    05:08
  • 4 -MLflow Track & Record Experiments.mp4
    11:48
  • 5 -SageMaker Neo.mp4
    05:34
  • 1 -Challenges of Responsible Al.mp4
    04:14
  • 2 -Strategies Against Bias & Variance.mp4
    03:55
  • 3 -SageMaker Clarify.mp4
    06:23
  • 4 -Employee.csv
  • 4 -SageMaker Clarify Pre-Training Analysis.mp4
    10:33
  • 4 -sagemaker clarify demo.zip
  • 5 -SageMaker Clarify Review Pre-Training Analysis.mp4
    06:49
  • 6 -SageMaker Clarify Model Bias Analysis.mp4
    09:32
  • 7 -SageMaker Clarify Explainability Report.mp4
    09:07
  • 1 -SageMaker Debugger.mp4
    04:13
  • 2 -SageMaker Debugger (Hands-on).mp4
    15:32
  • 2 -sagemaker debugger demo.zip
  • 3 -Model Deployment Strategies in SageMaker.mp4
    05:28
  • 4 -Deploy Real-Time Inference Endpoint.mp4
    06:46
  • 4 -sagemaker model deployment examples.zip
  • 5 -Deploying Endpoint using Model Artifact.mp4
    03:20
  • 6 -Serverless Inference Endpoint.mp4
    02:26
  • 7 -Deploy Using Batch Transform.mp4
    05:24
  • 8 -Deploy as Asynchronous Inference Endpoint.mp4
    07:30
  • 9 -Multi-Model & Multi-Container Endpoints in SageMaker.mp4
    04:30
  • 10 -Deploying a Multi-Model Endpoint.mp4
    06:53
  • 1 -Monitoring Models.mp4
    04:17
  • 2 -SageMaker Model Monitor.mp4
    02:51
  • 3 -Monitoring Data Quality in SageMaker.mp4
    05:58
  • 4 -Monitor Model Quality with SageMaker.mp4
    05:10
  • 5 -ModelMonitoring.zip
  • 5 -Model Monitoring Create a Baseline.mp4
    10:44
  • 6 -SageMaker Monitor Create a Schedule.mp4
    07:46
  • 1 -SageMaker Pipelines.mp4
    04:58
  • 2 -SageMaker Pipelines (Hands-on).mp4
    11:04
  • 2 -sagemakerpipelines.zip
  • 3 -Model Registry.mp4
    04:40
  • 4 -SageMaker Model Registry.mp4
    04:00
  • 1 -Understanding Machine Learning Models.mp4
    07:48
  • 2 -Supervised Learning.mp4
    09:05
  • 3 -Unsupervised Learning.mp4
    06:17
  • 4 -Text Analysis Algorithms.mp4
    04:46
  • 5 -Image Classification.mp4
    05:31
  • 6 -Reinforcement Learning.mp4
    05:08
  • 7 -Reinforcement Learning with SageMaker.mp4
    03:46
  • 8 -Model Evaluation Concepts.mp4
    04:32
  • 9 -Performance Evaluation Metrics.mp4
    06:24
  • 10 -Machine Learning Development Lifecycle.mp4
    07:59
  • 11 -MLOps.mp4
    08:25
  • 1 -What is Amazon Bedrock.mp4
    08:25
  • 2 -Amazon Bedrock - Architecture.mp4
    04:09
  • 3 -Amazon Bedrock - Use Cases.mp4
    02:17
  • 4 -Hands-on Exploring Amazon Bedrock.mp4
    09:15
  • 5 -Hands-on Installing Visual Studio Code.mp4
    01:47
  • 6 -Hands-on Setting up Visual Studio Code.mp4
    07:12
  • 7 -Hands-on Invoking Amazon Titan Model.mp4
    07:55
  • 8 -Hands-on Image Generation in Bedrock.mp4
    07:11
  • 9 -Amazon Personalize.mp4
    02:28
  • 10 -Dataset.csv
  • 10 -Hands-on Dataset Group (Amazon Personalize).mp4
    13:12
  • 10 -Movies Data with Year.csv
  • 10 -S3Policy.txt
  • 10 -Users Data.csv
  • 11 -Hands-on Training Dataset (Amazon Personalize).mp4
    03:46
  • 12 -Hands-on Train Model (Amazon Personalize).mp4
    06:09
  • 13 -Hands-on Make Predictions (Amazon Personalize).mp4
    07:00
  • 14 -Amazon Fraud Detector.mp4
    06:51
  • 15 -Setup & Event Type (Amazon Fraud Detector).mp4
    12:09
  • 15 -test dataset.csv
  • 15 -train dataset.csv
  • 16 -Build & Train Model (Amazon Fraud Detector).mp4
    05:23
  • 17 -Evaluate our Model (Amazon Fraud Detector).mp4
    09:07
  • 18 -Create Detector & Make Predictions (Amazon Fraud Detector).mp4
    10:03
  • 19 -Cleaning up Resources (Amazon Fraud Detector).mp4
    06:52
  • 20 -Amazon Augmented AI.mp4
    04:12
  • 21 -Amazon Comprehend.mp4
    07:17
  • 22 -Hands-on Amazon Comprehend.mp4
    06:42
  • 23 -Amazon Comprehend Medical Hands on.mp4
    05:18
  • 24 -Amazon Rekognition.mp4
    03:06
  • 25 -Hands-on Amazon Rekognition.mp4
    05:14
  • 26 -Hands-on Using Rekognition in Lambda Function.mp4
    10:11
  • 27 -Amazon Textract.mp4
    06:35
  • 28 -Hands-on Amazon Textract.mp4
    08:15
  • 29 -Amazon Kendra.mp4
    06:27
  • 30 -Employee Onboarding Guide.pdf
  • 30 -Hands-on Create an Index & Sync (Amazon Kendra).mp4
    10:42
  • 31 -Hands-on Create Experience (Amazon Kendra).mp4
    08:33
  • 1 -AWS S3 - Basics.mp4
    08:44
  • 2 -Create a Bucket in S3 (Hands-on).mp4
    04:19
  • 3 -Uploading files to S3 (Hands-on).mp4
    02:16
  • 3 -customers.csv
  • 4 -Streaming vs Batch Ingestion.mp4
    02:56
  • 6 -Setting Up Crawlers (Hands-on).mp4
    11:08
  • 1 -AWS Athena - Overview.mp4
    04:20
  • 2 -Query data using Athena (Hands-on).mp4
    05:16
  • 3 -Federated Queries.mp4
    02:18
  • 4 -Performance & Cost.mp4
    10:06
  • 5 -Workgroups.mp4
    03:04
  • 6 -Workgroups (Hands-on).mp4
    02:49
  • 1 -Glue Costs.mp4
    07:34
  • 2 -Run Glue ETL Jobs (Hands-on).mp4
    13:19
  • 3 -Scheduling Crawlers & ETL Jobs (Hands-on).mp4
    03:36
  • 4 -Stateful vs Stateless.mp4
    05:10
  • 5 -Stateless Data Ingestion in Glue (Hands-on).mp4
    03:49
  • 5 -customers2.csv
  • 6 -Stateful Ingestion with Bookmarks (Hands-on).mp4
    05:10
  • 6 -customers2.csv
  • 7 -Glue Transformations (ETL).mp4
    05:09
  • 8 -Glue Data Quality (Hands-on).mp4
    05:45
  • 9 -Glue Workflows.mp4
    04:33
  • 10 -Glue Workflows - (Hands-on).mp4
    07:33
  • 11 -Glue Job Types.mp4
    06:43
  • 12 -Glue Job Types (Hands-on).mp4
    02:32
  • 13 -Partitioning.mp4
    02:55
  • 14 -AWS Glue DataBrew.mp4
    06:17
  • 15 -AWS Glue DataBrew - Transformations.mp4
    07:43
  • 16 -AWS Glue DataBrew (Hands-On).mp4
    10:09
  • 17 -AWS Lambda.mp4
    07:07
  • 18 -Event Lambda Function.txt
  • 18 -Event-Driven Ingestion with AWS Lambda (Hands-on).mp4
    10:07
  • 18 -customers.csv
  • 19 -Lambda Layers.mp4
    04:13
  • 20 -Replayability.mp4
    05:57
  • 21 -Amazon Kinesis for Streaming Data.mp4
    03:34
  • 22 -Amazon Kinesis Data Streams.mp4
    12:11
  • 23 -Throughput and Latency.mp4
    04:20
  • 24 -Creating a Data Stream (Hands-on).mp4
    05:05
  • 25 -Enhanced Fan-Out for Kinesis Consumers.mp4
    05:25
  • 26 -KinesisStream.txt
  • 26 -Pull and Consume Data From Stream (Hands-on).mp4
    08:53
  • 27 -Calling a Lambda Function From Amazon Kinesis (Hands-on).mp4
    08:53
  • 27 -LambdaFunctionKinesis.txt
  • 28 -Common Issues & Troubleshooting.mp4
    10:53
  • 29 -Kinesis Firehose.mp4
    12:32
  • 30 -Creating Data Firehose Stream (Hands-on).mp4
    07:02
  • 31 -Data Firehose - Transformations with Lambda (Hands-on).mp4
    07:54
  • 32 -Amazon Managed Service for Apache Flink.mp4
    08:31
  • 33 -Amazon MSK.mp4
    09:07
  • 34 -MSK Connect & MSK Serverless.mp4
    02:49
  • 35 -Amazon EMR.mp4
    12:11
  • 36 -AWS EMR Cluster Types & Storage.mp4
    05:54
  • 37 -AWS EMR Storage & Scaling.mp4
    03:48
  • 38 -AWS EMR Deployment Options.mp4
    03:33
  • 1 -Importance of Partitioning.mp4
    03:07
  • 2 -Partitioning with Glue (Hands-on).mp4
    11:46
  • 2 -sales data files.zip
  • 3 -Lifecycle Management & Storage Classes.mp4
    10:18
  • 4 -Using Lifecycle Rules.mp4
    01:37
  • 5 -Storage Classes (Hands-on).mp4
    05:03
  • 5 -gpt-4.pdf
  • 6 -Intelligent Tiering (Hands-on).mp4
    04:13
  • 7 -Lifecycle Rules (Hands-on).mp4
    04:39
  • 8 -Versioning in S3.mp4
    05:56
  • 9 -FilesUsed.zip
  • 9 -Versioning (Hands-on).mp4
    10:08
  • 10 -Replication.mp4
    06:37
  • 11 -Replication (Hands-on).mp4
    06:38
  • 11 -sensor data.zip
  • 11 -supermarket sales.csv
  • 12 -Security in S3.mp4
    06:28
  • 13 -Security (Hands-on).mp4
    04:12
  • 14 -Bucket Policies.mp4
    02:26
  • 15 -Access Points in S3.mp4
    02:32
  • 16 -Object Lambda.mp4
    03:30
  • 17 -S3 Event Notifications.mp4
    04:49
  • 17 -bucketpolicy.zip
  • 18 -S3 Event Notifications (Hands-on).mp4
    08:49
  • 19 -S3 Select & Glacier Select.mp4
    03:57
  • 19 -customers.csv
  • 19 -customers2.csv
  • 20 -S3 Select (Hands-on).mp4
    04:55
  • 21 -Data Mesh.mp4
    03:51
  • 22 -Data Exchange.mp4
    02:34
  • 23 -Amazon Elastic Block Store (EBS).mp4
    06:41
  • 24 -EBS Provisioning.mp4
    09:24
  • 25 -EBS Volumes (Hands-on).mp4
    09:01
  • 26 -Amazon Elastic File System (EFS).mp4
    07:51
  • 1 -IAM Overview.mp4
    02:33
  • 2 -IAM Users, Groups & Role.mp4
    05:11
  • 3 -IAM Policies.mp4
    08:30
  • 5 -IAM Policies (Hands-on).mp4
    06:00
  • 6 -IAM Create Groups & Roles (Hands-on).mp4
    05:14
  • 7 -AWS KMS Overview.mp4
    08:54
  • 8 -AWS KMS Key Management & Pricing.mp4
    04:25
  • 9 -AWS KMS Cross-Region & Cross-Account.mp4
    08:00
  • 10 -AWS Macie.mp4
    02:45
  • 11 -AWS Secrets.mp4
    05:36
  • 12 -AWS Secrets (Hands-on).mp4
    05:20
  • 13 -AWS Shield.mp4
    03:13
  • 14 -Virtual Private Cloud & Subnets.mp4
    02:58
  • 15 -Gateways.mp4
    02:26
  • 16 -VPN & VPC Peering.mp4
    02:33
  • 17 -Security Groups & NACLs.mp4
    01:19
  • 18 -Additional VPC features.mp4
    01:23
  • 19 -AWS CloudTrail.mp4
    08:09
  • 20 -AWS CloudTrail Lake.mp4
    01:41
  • 21 -AWS Config.mp4
    06:26
  • 22 -AWS Config (Hands-on).mp4
    07:19
  • 23 -AWS Well-Architected Framework.mp4
    04:54
  • 24 -AWS Well-Architected Tool.mp4
    04:47
  • 1 -AWS CloudFormation.mp4
    05:11
  • 2 -AWS CloudFormation (Hands-on).mp4
    09:03
  • 2 -example.zip
  • 3 -Docker Containers.mp4
    08:38
  • 4 -Amazon ECS.mp4
    05:39
  • 5 -Amazon ECS - Launch Types.mp4
    08:41
  • 6 -Amazon ECS - IAM Roles.mp4
    02:00
  • 7 -Amazon ECR.mp4
    04:46
  • 8 -Amazon EKS.mp4
    07:34
  • 1 -Amazon CloudWatch Overview.mp4
    05:32
  • 2 -Amazon CloudWatch Metrics (Hands-on).mp4
    06:22
  • 3 -Amazon CloudWatch Metrics Stream.mp4
    02:36
  • 4 -Amazon CloudWatch Alarms.mp4
    04:51
  • 5 -CloudWatch Alarms (Hands-on).mp4
    04:51
  • 6 -Amazon CloudWatch Logs.mp4
    03:31
  • 7 -CloudWatch Logs (Hands-on).mp4
    03:31
  • 8 -Amazon CloudWatch Log Filtering & Subscription.mp4
    04:13
  • 9 -Amazon CloudWatch Logs Agent.mp4
    02:15
  • 1 -What is Amazon Q Business.mp4
    08:29
  • 2 -Hands-on Create Amazon Q Business Application.mp4
    14:09
  • 2 -Sample Employee Dataset.csv
  • 3 -Hands-on Assign Users & Test Application.mp4
    07:41
  • 4 -Hands-on Using Global Controls.mp4
    06:24
  • 5 -Hands-on Blocking Words.mp4
    02:40
  • 6 -Hands-on Topic Controls.mp4
    06:45
  • 7 -Amazon Transcribe.mp4
    08:11
  • 8 -Hands-on Amazon Transcribe.mp4
    11:22
  • 9 -Amazon Polly.mp4
    03:13
  • 10 -Hands-on Pricing & Models (Amazon Polly).mp4
    05:10
  • 11 -Hands-on Text-to-Speech (Amazon Polly).mp4
    04:02
  • 12 -Hands-on SSML to modify speech output (Amazon Polly).mp4
    05:16
  • 13 -Hands-on Real-time translation (Amazon Translate).mp4
    06:09
  • 14 -Hands-on Batch job translation (Amazon Translate).mp4
    10:11
  • 14 -Translate.zip
  • 1 -Exam Signup & Get 30min more time!.mp4
    08:10
  • 2 -Final Exam Tips.mp4
    07:26

    • More details

    Course Overview

    Master the AWS Certified Machine Learning Engineer exam (MLA-C01) with this comprehensive course covering SageMaker, data pipelines, model deployment, and real-world ML scenarios on AWS. Includes hands-on demos and full practice exams.

    What You'll Learn

    • Build, train, and deploy ML models in Amazon SageMaker
    • Master data ingestion and preprocessing with SageMaker Data Wrangler
    • Implement full machine learning pipelines and MLOps practices

    Who This Is For

    • Aspiring Machine Learning Engineers seeking AWS certification
    • Data Scientists and Engineers transitioning to AWS cloud
    • IT Professionals expanding their ML skills on AWS

    Key Benefits

    • Full practice exam with detailed explanations
    • Hands-on demos with real-world datasets
    • Covers the complete ML lifecycle on AWS

    Curriculum Highlights

    1. SageMaker Basics & Data Ingestion
    2. Model Training & Hyperparameter Tuning
    3. Deployment Strategies & Monitoring
    Focused display
    Category

    Amazon AWS

    • language english
    • Training sessions 245
    • duration 25:50:25
    • Release Date 2025/06/08

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