Aws Certified Machine Learning Engineer Associate Complete
Date: 12 July 2025 | Posted by: AD-TEAM
Aws Certified Machine Learning Engineer Associate - Complete
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 13.55 GB | Duration: 33h 22m
Master AWS Machine Learning with hands-on lectures covering SageMaker, data prep, deployment pipelines, and monitoring.
What you'll learn
Master key AWS ML services including SageMaker, Bedrock, and Comprehend through hands-on demonstrations and practical implementation.
Design, deploy, and monitor machine learning pipelines on AWS using services like CloudWatch, CloudTrail, and SageMaker Model Monitor.
Implement data preparation workflows using AWS analytics services including Glue, EMR, and Athena for effective ML model development.
Develop secure and cost-effective ML solutions by implementing best practices in IAM policies, encryption, and resource optimization.
Requirements
Basic cloud computing knowledge is helpful but not required. This course is designed for IT professionals with some programming experience in Python, Java, or similar languages. Familiarity with data concepts and AWS fundamentals is beneficial, but comprehensive hands-on demonstrations will guide you through each service. You'll need an AWS account (free tier is sufficient) and a computer with internet access to follow along with the practical exercises.
Description
Are you ready to master AWS Machine Learning and earn your certification? This comprehensive course prepares you for the AWS Certified Machine Learning Engineer Associate exam while building practical, hands-on skills you can apply immediately.What This Course OffersThrough a perfect balance of theory and practice, you'll master all services covered in the MLA-C01 exam. Each section includes conceptual lectures followed by hands-on demonstrations where you'll implement what you've learned in real AWS environments.Course HighlightsComplete Coverage: Learn all essential AWS services required for the certification, including Amazon SageMaker, Bedrock, Comprehend, Rekognition, and many more.Hands-On Learning: Follow along with practical demonstrations for each key service, reinforcing theoretical concepts with real implementation experience.Data Preparation Mastery: Develop expertise in AWS analytics services like Glue, EMR, Athena, and Kinesis to prepare data for machine learning workflows.Deployment & Orchestration: Learn to deploy ML models using various AWS services and build automated CI/CD pipelines for ML workflows.Monitoring & Security: Implement best practices for monitoring ML solutions, optimizing costs, and securing ML infrastructure using IAM, KMS, and other security services.Beyond CertificationWhile this course thoroughly prepares you for the AWS Certified Machine Learning Engineer Associate exam, it goes beyond theoretical knowledge. You'll develop practical skills in designing, implementing, and maintaining ML solutions on AWS that you can apply in real-world projects.Whether you're new to machine learning on AWS or looking to formalize your knowledge with certification, this course provides everything you need to succeed as an AWS Machine Learning Engineer.Join now and take the next step in your cloud and machine learning career!
Overview
Section 1: Introduction
Lecture 1 About The Instructor
Section 2: Analytics
Lecture 2 Amazon Athena
Lecture 3 Amazon Athena - Hands-On Demo
Lecture 4 Amazon Data Firehose
Lecture 5 Amazon EMR
Lecture 6 Amazon EMR - Hands-On Demo
Lecture 7 AWS Glue
Lecture 8 AWS Glue - Hands-On Demo
Lecture 9 Amazon Kinesis
Lecture 10 Amazon Kinesis - Hands-On Demo
Lecture 11 AWS Lake Formation
Lecture 12 AWS Lake Formation - Hands-On Demo
Lecture 13 Amazon Managed Service for Apache Flink
Lecture 14 Amazon OpenSearch Service
Lecture 15 Amazon OpenSearch Service - Hands-On Demo
Lecture 16 Amazon QuickSight
Lecture 17 Amazon QuickSight - Hands-On Demo
Lecture 18 Amazon Redshift
Lecture 19 Amazon Redshift- Hands-On Demo
Section 3: Application Integration
Lecture 20 Amazon EventBridge
Lecture 21 Amazon EventBridge - Hands-On Demo
Lecture 22 Amazon Simple Notification Service (Amazon SNS)
Lecture 23 Amazon Simple Notification Service (Amazon SNS) - Hands-On Demo
Lecture 24 Amazon Simple Queue Service (Amazon SQS)
Lecture 25 Amazon Simple Queue Service (Amazon SQS) - Hands-On Demo
Lecture 26 AWS Step Functions
Lecture 27 AWS Step Functions - Hands-On Demo
Section 4: Cloud Financial Management
Lecture 28 AWS Billing and Cost Management
Lecture 29 AWS Budgets
Lecture 30 AWS Budgets - Hands-On Demo
Lecture 31 AWS Cost Explorer
Lecture 32 AWS Cost Explorer - Hands-On Demo
Section 5: Compute
Lecture 33 AWS Batch
Lecture 34 AWS Batch - Hands-On Demo
Lecture 35 Amazon EC2
Lecture 36 Amazon EC2 - Hands-On Demo
Lecture 37 AWS Lambda
Lecture 38 AWS Lambda - Hands-On Demo
Lecture 39 AWS Serverless Application Repository
Section 6: Containers
Lecture 40 Amazon Elastic Container Registry (Amazon ECR)
Lecture 41 Amazon Elastic Container Registry (Amazon ECR) - Hands-On Demo
Lecture 42 Amazon Elastic Container Service (Amazon ECS)
Lecture 43 Amazon Elastic Container Service (Amazon ECS) - Hands-On Demo
Lecture 44 Amazon Elastic Kubernetes Service (Amazon EKS)
Lecture 45 Amazon Elastic Kubernetes Service (Amazon EKS) - Hands-On Demo
Section 7: Database
Lecture 46 Amazon DocumentDB (with MongoDB compatibility)
Lecture 47 Amazon DynamoDB
Lecture 48 Amazon DynamoDB - Hands-On Demo
Lecture 49 Amazon ElastiCache
Lecture 50 Amazon Neptune
Lecture 51 Amazon RDS
Lecture 52 Amazon RDS - Hands-On Demo
Section 8: Developer Tools
Lecture 53 AWS Cloud Development Kit (AWS CDK)
Lecture 54 AWS CodeArtifact
Lecture 55 AWS CodeBuild
Lecture 56 AWS CodeDeploy
Lecture 57 AWS CodePipeline
Lecture 58 AWS X-Ray
Section 9: Machine Learning
Lecture 59 Amazon Bedrock
Lecture 60 Amazon CodeGuru
Lecture 61 Amazon Comprehend
Lecture 62 Amazon Fraud Detector
Lecture 63 Amazon Kendra
Lecture 64 Amazon Lex
Lecture 65 Amazon Personalize
Lecture 66 Amazon Polly
Lecture 67 Amazon Rekognition
Lecture 68 Amazon SageMaker
Lecture 69 Amazon Textract
Lecture 70 Amazon Transcribe
Lecture 71 Amazon Translate
Section 10: Management and Governance
Lecture 72 AWS Auto Scaling
Lecture 73 AWS CloudFormation
Lecture 74 AWS CloudFormation - Hands-On Demo
Lecture 75 AWS CloudTrail
Lecture 76 AWS CloudTrail - Hands-On Demo
Lecture 77 Amazon CloudWatch
Lecture 78 Amazon CloudWatch - Hands-On Demo
Lecture 79 Amazon CloudWatch Logs
Lecture 80 AWS Compute Optimizer
Lecture 81 AWS Config
Lecture 82 AWS Config - Hands-On Demo
Lecture 83 AWS Config - Hands-On Demo - Clean Up
Lecture 84 AWS Organizations
Lecture 85 AWS Organizations - Hands-On Demo
Lecture 86 AWS Service Catalog
Lecture 87 AWS Systems Manager
Lecture 88 AWS Systems Manager - Hands-On Demo
Lecture 89 AWS Trusted Advisor
Lecture 90 AWS Trusted Advisor - Hands-On Demo
Section 11: Media
Lecture 91 Amazon Kinesis Video Streams
Section 12: Migration and Transfer
Lecture 92 AWS DataSync
Section 13: Networking and Content Delivery
Lecture 93 Amazon API Gateway
Lecture 94 Amazon API Gateway - Hands-On Demo
Lecture 95 Amazon CloudFront
Lecture 96 Amazon CloudFront - Hands-On Demo
Lecture 97 AWS Direct Connect
Lecture 98 Amazon VPC
Lecture 99 Amazon VPC - Part 2
Lecture 100 Amazon VPC - Hands-On Demo
Section 14: Security, Identity, and Compliance
Lecture 101 AWS Identity and Access Management (IAM)
Lecture 102 AWS Identity and Access Management (IAM) - Hands-On Demo
Lecture 103 AWS Key Management Service (AWS KMS)
Lecture 104 AWS Key Management Service (AWS KMS) - Hands-On Demo
Lecture 105 Amazon Macie
Lecture 106 AWS Secrets Manager
Lecture 107 AWS Secrets Manager - Hands-On Demo
Section 15: Storage
Lecture 108 Amazon Elastic Block Store (Amazon EBS)
Lecture 109 Amazon Elastic Block Store (EBS) - Hands-On Demo
Lecture 110 Amazon Elastic File System (Amazon EFS)
Lecture 111 Amazon Elastic File System (EFS) - Hands-On Demo
Lecture 112 Amazon FSx
Lecture 113 Amazon S3 - Part 1
Lecture 114 Amazon S3 - Part 2
Lecture 115 Amazon S3 - Part 3
Lecture 116 Amazon S3 - Part 4
Lecture 117 Amazon S3 - Hands-On Demo
Lecture 118 Amazon S3 Glacier
Lecture 119 AWS Storage Gateway
This course is ideal for IT professionals, software developers, data engineers, and cloud practitioners preparing for the AWS Certified Machine Learning Engineer Associate exam. It's designed for those looking to expand their skills into machine learning on AWS, whether they're currently working with AWS services or planning to transition into machine learning roles. The comprehensive curriculum benefits both certification candidates and professionals seeking to implement practical ML solutions using AWS services. With both theoretical lectures and hands-on demonstrations, this course provides value to learners at various stages in their ML journey, from those with basic AWS knowledge to experienced developers wanting to specialize in AWS machine learning implementation.
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