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AWS Certified Machine Learning Engineer – Associate MLA-C01

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The ONLY course you need to PASS the AWS Certified Machine Learning Engineer Exam | MLA-C01 | Incl. FULL Practice Exam!


1 - Introduction
  • 1 -Welcome!
  • 2 -About the exam & this course
  • 3 -Important tips for this course
  • 4 -All Slides.pdf
  • 4 - All Slides.html

  • 2 - SageMaker Basics & Setup
  • 1 -AWS Free Tier Account ML
  • 3 -SageMaker Notebooks
  • 4 -Setting Up SageMaker Notebook Instance
  • 5 -Basic Operations in SageMaker Notebook Instance
  • 6 -SageMaker Studio Setting Up Domain & Users
  • 7 -SageMaker Studio Overview
  • 8 -AWS Budgets Machine Learning

  • 3 - SageMaker Data Ingestion & Feature Engineering
  • 1 -Data Preparation with Data Wrangler
  • 2 -Import data using Data Wrangler
  • 3 -Data Wrangler - Get Insights
  • 4 -Data Wrangler Transform Data
  • 5 -Export Data in Data Wrangler
  • 6 -Stop Running Instances
  • 7 -Understanding Feature Engineering
  • 8 -SageMaker Feature Store
  • 9 -Feature Store - Creating Features & Feature Group
  • 10 -SageMaker Notebooks- Setting up Features
  • 10 -income data.csv
  • 10 -sagemaker feature store notebook with docs.zip
  • 11 -SageMaker Ground Truth
  • 12 -Create Labeling Jobs in Groud Truth
  • 12 -image.zip
  • 13 -Setting up Groud Truth Workforce
  • 14 -Ground Truth Plus

  • 4 - SageMaker Training & Hyperparameter Tuning
  • 1 -Training with Built-in Algorithms
  • 2 -SageMaker JumpStart
  • 3 -Deploy a Model Using JumpStart
  • 4 -Training Models - Potential Paths
  • 5 -Employee.csv
  • 5 -Prepare The Training Of The Model
  • 5 -sagemaker employee attrition demo.zip
  • 6 -Train Model
  • 7 -Reviewing the Trained Model
  • 8 -Model Tuning & Hyperparameters
  • 9 -Hyperparamter Optimization Techniques
  • 10 -Hyperparameter Tuning.txt
  • 10 -Hyperparameter Tuning in Notebooks
  • 11 -Hyperparameter Tuning in the UI
  • 12 -SageMaker Canvas
  • 14 -SageMaker Canvas Predict & Deploy
  • 15 -Custom Training Script
  • 16 -Custom Docker Containers
  • 17 -Distributed Training

  • 5 - SageMaker Experiment Tracking & Debugging
  • 1 -SageMaker Experiments
  • 2 -MLflow.zip
  • 2 -MLflow Setting Up Tracking Server
  • 3 -MLflow Setup Experiment
  • 4 -MLflow Track & Record Experiments
  • 5 -SageMaker Neo

  • 6 - SageMaker Clarify & Responsible AI
  • 1 -Challenges of Responsible Al
  • 2 -Strategies Against Bias & Variance
  • 3 -SageMaker Clarify
  • 4 -Employee.csv
  • 4 -SageMaker Clarify Pre-Training Analysis
  • 4 -sagemaker clarify demo.zip
  • 5 -SageMaker Clarify Review Pre-Training Analysis
  • 6 -SageMaker Clarify Model Bias Analysis
  • 7 -SageMaker Clarify Explainability Report

  • 7 - SageMaker Debugging & Deployment
  • 1 -SageMaker Debugger
  • 2 -SageMaker Debugger (Hands-on)
  • 2 -sagemaker debugger demo.zip
  • 3 -Model Deployment Strategies in SageMaker
  • 4 -Deploy Real-Time Inference Endpoint
  • 4 -sagemaker model deployment examples.zip
  • 5 -Deploying Endpoint using Model Artifact
  • 6 -Serverless Inference Endpoint
  • 7 -Deploy Using Batch Transform
  • 8 -Deploy as Asynchronous Inference Endpoint
  • 9 -Multi-Model & Multi-Container Endpoints in SageMaker
  • 10 -Deploying a Multi-Model Endpoint

  • 8 - SageMaker Monitoring Models
  • 1 -Monitoring Models
  • 2 -SageMaker Model Monitor
  • 3 -Monitoring Data Quality in SageMaker
  • 4 -Monitor Model Quality with SageMaker
  • 5 -ModelMonitoring.zip
  • 5 -Model Monitoring Create a Baseline
  • 6 -SageMaker Monitor Create a Schedule

  • 9 - SageMaker Pipelines & Model Registry
  • 1 -SageMaker Pipelines
  • 2 -SageMaker Pipelines (Hands-on)
  • 2 -sagemakerpipelines.zip
  • 3 -Model Registry
  • 4 -SageMaker Model Registry

  • 10 - Machine Learning Concepts
  • 1 -Understanding Machine Learning Models
  • 2 -Supervised Learning
  • 3 -Unsupervised Learning
  • 4 -Text Analysis Algorithms
  • 5 -Image Classification
  • 6 -Reinforcement Learning
  • 7 -Reinforcement Learning with SageMaker
  • 8 -Model Evaluation Concepts
  • 9 -Performance Evaluation Metrics
  • 10 -Machine Learning Development Lifecycle
  • 11 -MLOps

  • 11 - AWS Machine Learning Services
  • 1 -What is Amazon Bedrock
  • 2 -Amazon Bedrock - Architecture
  • 3 -Amazon Bedrock - Use Cases
  • 4 -Hands-on Exploring Amazon Bedrock
  • 5 -Hands-on Installing Visual Studio Code
  • 6 -Hands-on Setting up Visual Studio Code
  • 7 -Hands-on Invoking Amazon Titan Model
  • 8 -Hands-on Image Generation in Bedrock
  • 9 -Amazon Personalize
  • 10 -Dataset.csv
  • 10 -Hands-on Dataset Group (Amazon Personalize)
  • 10 -Movies Data with Year.csv
  • 10 -S3Policy.txt
  • 10 -Users Data.csv
  • 11 -Hands-on Training Dataset (Amazon Personalize)
  • 12 -Hands-on Train Model (Amazon Personalize)
  • 13 -Hands-on Make Predictions (Amazon Personalize)
  • 14 -Amazon Fraud Detector
  • 15 -Setup & Event Type (Amazon Fraud Detector)
  • 15 -test dataset.csv
  • 15 -train dataset.csv
  • 16 -Build & Train Model (Amazon Fraud Detector)
  • 17 -Evaluate our Model (Amazon Fraud Detector)
  • 18 -Create Detector & Make Predictions (Amazon Fraud Detector)
  • 19 -Cleaning up Resources (Amazon Fraud Detector)
  • 20 -Amazon Augmented AI
  • 21 -Amazon Comprehend
  • 22 -Hands-on Amazon Comprehend
  • 23 -Amazon Comprehend Medical Hands on
  • 24 -Amazon Rekognition
  • 25 -Hands-on Amazon Rekognition
  • 26 -Hands-on Using Rekognition in Lambda Function
  • 27 -Amazon Textract
  • 28 -Hands-on Amazon Textract
  • 29 -Amazon Kendra
  • 30 -Employee Onboarding Guide.pdf
  • 30 -Hands-on Create an Index & Sync (Amazon Kendra)
  • 31 -Hands-on Create Experience (Amazon Kendra)

  • 12 - Data Ingestion
  • 1 -AWS S3 - Basics
  • 2 -Create a Bucket in S3 (Hands-on)
  • 3 -Uploading files to S3 (Hands-on)
  • 3 -customers.csv
  • 4 -Streaming vs Batch Ingestion
  • 6 -Setting Up Crawlers (Hands-on)

  • 13 - Querying with Athena
  • 1 -AWS Athena - Overview
  • 2 -Query data using Athena (Hands-on)
  • 3 -Federated Queries
  • 4 -Performance & Cost
  • 5 -Workgroups
  • 6 -Workgroups (Hands-on)

  • 14 - AWS Data Processing Services
  • 1 -Glue Costs
  • 2 -Run Glue ETL Jobs (Hands-on)
  • 3 -Scheduling Crawlers & ETL Jobs (Hands-on)
  • 4 -Stateful vs Stateless
  • 5 -Stateless Data Ingestion in Glue (Hands-on)
  • 5 -customers2.csv
  • 6 -Stateful Ingestion with Bookmarks (Hands-on)
  • 6 -customers2.csv
  • 7 -Glue Transformations (ETL)
  • 8 -Glue Data Quality (Hands-on)
  • 9 -Glue Workflows
  • 10 -Glue Workflows - (Hands-on)
  • 11 -Glue Job Types
  • 12 -Glue Job Types (Hands-on)
  • 13 -Partitioning
  • 14 -AWS Glue DataBrew
  • 15 -AWS Glue DataBrew - Transformations
  • 16 -AWS Glue DataBrew (Hands-On)
  • 17 -AWS Lambda
  • 18 -Event Lambda Function.txt
  • 18 -Event-Driven Ingestion with AWS Lambda (Hands-on)
  • 18 -customers.csv
  • 19 -Lambda Layers
  • 20 -Replayability
  • 21 -Amazon Kinesis for Streaming Data
  • 22 -Amazon Kinesis Data Streams
  • 23 -Throughput and Latency
  • 24 -Creating a Data Stream (Hands-on)
  • 25 -Enhanced Fan-Out for Kinesis Consumers
  • 26 -KinesisStream.txt
  • 26 -Pull and Consume Data From Stream (Hands-on)
  • 27 -Calling a Lambda Function From Amazon Kinesis (Hands-on)
  • 27 -LambdaFunctionKinesis.txt
  • 28 -Common Issues & Troubleshooting
  • 29 -Kinesis Firehose
  • 30 -Creating Data Firehose Stream (Hands-on)
  • 31 -Data Firehose - Transformations with Lambda (Hands-on)
  • 32 -Amazon Managed Service for Apache Flink
  • 33 -Amazon MSK
  • 34 -MSK Connect & MSK Serverless
  • 35 -Amazon EMR
  • 36 -AWS EMR Cluster Types & Storage
  • 37 -AWS EMR Storage & Scaling
  • 38 -AWS EMR Deployment Options

  • 15 - AWS Storage Solutions
  • 1 -Importance of Partitioning
  • 2 -Partitioning with Glue (Hands-on)
  • 2 -sales data files.zip
  • 3 -Lifecycle Management & Storage Classes
  • 4 -Using Lifecycle Rules
  • 5 -Storage Classes (Hands-on)
  • 5 -gpt-4.pdf
  • 6 -Intelligent Tiering (Hands-on)
  • 7 -Lifecycle Rules (Hands-on)
  • 8 -Versioning in S3
  • 9 -FilesUsed.zip
  • 9 -Versioning (Hands-on)
  • 10 -Replication
  • 11 -Replication (Hands-on)
  • 11 -sensor data.zip
  • 11 -supermarket sales.csv
  • 12 -Security in S3
  • 13 -Security (Hands-on)
  • 14 -Bucket Policies
  • 15 -Access Points in S3
  • 16 -Object Lambda
  • 17 -S3 Event Notifications
  • 17 -bucketpolicy.zip
  • 18 -S3 Event Notifications (Hands-on)
  • 19 -S3 Select & Glacier Select
  • 19 -customers.csv
  • 19 -customers2.csv
  • 20 -S3 Select (Hands-on)
  • 21 -Data Mesh
  • 22 -Data Exchange
  • 23 -Amazon Elastic Block Store (EBS)
  • 24 -EBS Provisioning
  • 25 -EBS Volumes (Hands-on)
  • 26 -Amazon Elastic File System (EFS)

  • 16 - AWS Security and Compliance
  • 1 -IAM Overview
  • 2 -IAM Users, Groups & Role
  • 3 -IAM Policies
  • 5 -IAM Policies (Hands-on)
  • 6 -IAM Create Groups & Roles (Hands-on)
  • 7 -AWS KMS Overview
  • 8 -AWS KMS Key Management & Pricing
  • 9 -AWS KMS Cross-Region & Cross-Account
  • 10 -AWS Macie
  • 11 -AWS Secrets
  • 12 -AWS Secrets (Hands-on)
  • 13 -AWS Shield
  • 14 -Virtual Private Cloud & Subnets
  • 15 -Gateways
  • 16 -VPN & VPC Peering
  • 17 -Security Groups & NACLs
  • 18 -Additional VPC features
  • 19 -AWS CloudTrail
  • 20 -AWS CloudTrail Lake
  • 21 -AWS Config
  • 22 -AWS Config (Hands-on)
  • 23 -AWS Well-Architected Framework
  • 24 -AWS Well-Architected Tool

  • 17 - AWS Deployment and Orchestration Services
  • 1 -AWS CloudFormation
  • 2 -AWS CloudFormation (Hands-on)
  • 2 -example.zip
  • 3 -Docker Containers
  • 4 -Amazon ECS
  • 5 -Amazon ECS - Launch Types
  • 6 -Amazon ECS - IAM Roles
  • 7 -Amazon ECR
  • 8 -Amazon EKS

  • 18 - AWS Monitoring and Cost Management Tools
  • 1 -Amazon CloudWatch Overview
  • 2 -Amazon CloudWatch Metrics (Hands-on)
  • 3 -Amazon CloudWatch Metrics Stream
  • 4 -Amazon CloudWatch Alarms
  • 5 -CloudWatch Alarms (Hands-on)
  • 6 -Amazon CloudWatch Logs
  • 7 -CloudWatch Logs (Hands-on)
  • 8 -Amazon CloudWatch Log Filtering & Subscription
  • 9 -Amazon CloudWatch Logs Agent

  • 19 - AWS AI Services
  • 1 -What is Amazon Q Business
  • 2 -Hands-on Create Amazon Q Business Application
  • 2 -Sample Employee Dataset.csv
  • 3 -Hands-on Assign Users & Test Application
  • 4 -Hands-on Using Global Controls
  • 5 -Hands-on Blocking Words
  • 6 -Hands-on Topic Controls
  • 7 -Amazon Transcribe
  • 8 -Hands-on Amazon Transcribe
  • 9 -Amazon Polly
  • 10 -Hands-on Pricing & Models (Amazon Polly)
  • 11 -Hands-on Text-to-Speech (Amazon Polly)
  • 12 -Hands-on SSML to modify speech output (Amazon Polly)
  • 13 -Hands-on Real-time translation (Amazon Translate)
  • 14 -Hands-on Batch job translation (Amazon Translate)
  • 14 -Translate.zip

  • 20 - Practice Exam, Exam Tips & Scheduling
  • 1 -Exam Signup & Get 30min more time!
  • 2 -Final Exam Tips
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    تاریخ انتشار: ۱۹ آذر ۱۴۰۳
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