AWS Certified Machine Learning Engineer – Associate MLA-C01

سرفصل های دوره

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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تولید کننده: Udemy