AWS IoT Application Development Course (Beginner to Advanced, 2025 Edition)

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AWS IoT Application Development Course (Beginner to Advanced, 2025 Edition)

Learn to build end-to-end AWS IoT applications with hands-on labs and projects. Covers IoT Core, Greengrass, Lambda, API Gateway, DynamoDB, Timestream, S3, SQS, SNS, Kinesis, Kafka/MSK, real-time processing, edge computing, security, and AI/ML integration.

  • 9 Phases
  • 25 Lessons
  • 5.5 Hrs
  • Beginner Advanced
Category Cloud computing
AWS IoT Application Development Course (Beginner to Advanced, 2025 Edition)
Learning Path 25 Lessons 5.5 Hrs

Start Phase
  • AWS IoT Overview & Engineer Role 6
  • IoT Architecture and AWS Services Overview 5

Start Phase
  • AWS IoT Core: Device Connection & MQTT Basics 13
  • IoT Device Shadows & Device Management 7
  • Secure Device Authentication with X.509 Certificates 8

Start Phase
  • AWS IoT Greengrass Basics & Deployment 13
  • Lambda@Edge for IoT Applications 14

Start Phase
  • Real-Time IoT Data Processing with Kinesis & DynamoDB 12
  • Using Amazon Timestream for IoT Time-Series Data 12
  • Storing Raw IoT Data in Amazon S3 10

Start Phase
  • Amazon SQS & SNS for IoT Messaging 10
  • Real-Time Streaming with Kinesis & Kafka/MSK 12

Start Phase
  • Device Authentication & IAM Policies 12
  • Encrypting IoT Data with KMS & TLS 14
  • Monitoring IoT Security 15

Start Phase
  • AWS SageMaker with IoT Data 6
  • Predictive Analytics for IoT Devices 60
  • GenAI for IoT Insights & Automation 11

Start Phase
  • Smart Home App with DynamoDB & Timestream Integration 13
  • Fleet Monitoring Dashboard with Lambda + DynamoDB + Kinesis 13
  • Mobile IoT App Integration with S3 + SNS + Cognito 23

Start Phase
  • Project 1: Secure IoT Device Fleet with IoT Core & Device Shadows 6
  • Project 2: Edge Processing with Greengrass & Lambda@Edge 6
  • Project 3: Real-Time Analytics & Predictive AI using Kinesis/Kafka 12
  • Project 4: IoT Smart Home App Development with Serverless & Messaging 15

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