AWS Machine Learning Engineer Course (Beginner to Advanced, 2025 Edition)

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AWS Machine Learning Engineer Course (Beginner to Advanced, 2025 Edition)

Master Machine Learning on AWS with this up-to-date 2025 curriculum. Learn end-to-end ML workflows using Amazon SageMaker, automate MLOps, and scale deep learning models. Explore the latest GenAI services like Amazon Bedrock, Agents, RAG, and integrate modern AI tools like Amazon Q and Kiro AI IDE. Includes multiple real-world projects covering predictive analytics and AI-powered applications.

  • 8 Phases
  • 22 Lessons
  • 3.6 Hrs
  • Beginner Advanced
Category Cloud computing
AWS Machine Learning Engineer Course (Beginner to Advanced, 2025 Edition)
Learning Path 22 Lessons 3.6 Hrs

Start Phase
  • What is Machine Learning? AWS ML Services Overview 5

Start Phase
  • Amazon S3 for ML Data Storage 10
  • AWS Glue for Data Preparation 6
  • Feature Engineering with SageMaker Processing ≈ 8

Start Phase
  • Introduction to Amazon SageMaker 10
  • Training and Tuning Models in SageMaker ≈ 5 (Note: actual video may be longer than preview estimates)
  • Experiment Tracking and Model Registry 15

Start Phase
  • Deep Learning AMIs & Containers 5
  • Image Classification with TensorFlow on SageMaker 10:47
  • NLP with Hugging Face and SageMaker 18:04

Start Phase
  • Deploying Models with SageMaker Endpoints ≈ 11
  • CI/CD for ML Models with SageMaker Pipelines ≈ 17
  • Model Monitoring and Drift Detection 9

Start Phase
  • Introduction to Amazon Bedrock 10
  • RAG (Retrieval-Augmented Generation) with Bedrock + OpenSearch 21:33
  • Building AI Agents with Amazon Bedrock 10

Start Phase
  • Getting Started with Amazon Q Developer 8
  • Kiro AI IDE: Building and Testing ML Apps Faster 12

Start Phase
  • Project 1: Setting up AWS Account and IAM for ML 9
  • Project 2: End-to-End Machine Learning Pipeline on AWS SageMaker 13
  • Project 3: RAG-powered Intelligent Search Assistant with Bedrock + OpenSearch 20
  • Project 4: AI Agentic Workflow using Bedrock Agents + Kiro IDE + Amazon Q 22

Start your AWS Machine Learning Engineer Course (Beginner to Advanced, 2025 Edition) journey

Learn at your own pace. Total estimated time 3.6 hours

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