Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「8 Hours Remote」 Training Course

Module 0: Foundations & AWS IoT Ecosystem

• Introduction to IoT
  • Defining IoT in 2024: Beyond "Things" (Edge Intelligence, AI/ML at the Edge, Cyber-Physical Systems).
  • Drivers of IoT Growth (Industries, Use Cases).
  • Key IoT Trends (Edge Computing, Sustainability, AI/ML Integration, Enhanced Security).
  • AWS IoT within the Broader AWS Ecosystem (AWS Partner Network - APN Resources for government).
• AWS IoT Service Landscape Overview
  • AWS IoT Core (MQTT/Bridge, Jobs, Device Defender).
  • AWS IoT Device Management (Device Onboarding, Configuration Management, OTA Updates).
  • AWS IoT Analytics (Data Processing, Enrichment, Modeling).
  • AWS IoT Greengrass (Edge Compute, Local Execution, Secure Connectivity).
  • AWS IoT Button (Conceptual Overview for Simple Devices).
  • Connection: AWS IoT Core -> Lambda/DynamoDB/OpenSearch/Step Functions/SageMaker.

Module 1: IoT Architecture, Components & Security

• IoT Architecture
  • Device Layer (Sensors, Actuators, Edge Devices like RP2013/Raspberry Pi/ESP32).
  • Connectivity Layer (MQTT, CoAP, HTTP, LPWAN - LoRaWAN, NB-IoT, Sigfox, Cellular IoT).
  • Cloud Integration Layer (AWS IoT Core, API Gateway, Lambda, Step Functions for government).
  • Data Processing & Analytics Layer (DynamoDB, Timestream, OpenSearch, S3, Athena, SageMaker).
  • Application Layer (Mobile, Web Apps using AWS Amplify, Custom Business Apps).
  • Importance: Explain the Why Behind Distributed Architectures (Latency, Bandwidth, Compute Power, Security).
• Essential IoT Components Deep Dive
  • Hardware: Selection Criteria (MCU, Connectivity, Sensors), Security Elements (Trusted Execution Environments - TEEs).
  • Edge Computing (AWS Greengrass): Benefits (Low Latency, Reduced Cloud Traffic, Local Decision Making).
  • Device Management: Onboarding (Over-the-Air - OTA, Pre-Provisioning), Configuration, Monitoring, Remote Debugging.
  • Security Deep Dive: Device Identity, Authentication & Authorization (X.509 Certs, JSON Web Tokens - JWTs), Data Encryption (At Rest and In Transit), AWS IoT Device Defender (Service and Device Defender for government).
  • Security Standardization: Introduction to Standards (e.g., IEEE P2145, Open Connectivity Foundation - OCF) and Compliance (ISO/IEC 27001, SOC 2).
• AWS-Specific PaaS Functions for IoT
  • AWS IoT Core (Secure MQTT/Bridge, Jobs for Firmware Updates, Device Defender).
  • AWS Lambda (Serverless Compute for Data Preprocessing, Triggering Actions).
  • AWS Step Functions (Stateful Workflows for Complex Device Interactions).
  • Amazon DynamoDB (NoSQL DB for Fast IoT Data Ingestion).
  • Amazon OpenSearch Service (Search & Analytics, Time Series Data Handling).
  • Amazon Timestream (Specialized Time-Series Database).
  • Amazon S3 (Raw Data Lake Storage).
  • AWS IoT Device Defender (Monitoring and Security Assessment for government).
  • AWS IoT Wireless (Connecting Remote LPWAN Devices).

Module 2: IoT Device Communication Protocols

• MQTT (MQTT v5 & WebSockets)
  • MQTT 5.0 Features (Retain, Clean Session Flags, User Properties, Wildcard Topics).
  • MQTT over WebSockets (Standardization for government).
  • Quality of Service (QoS) Levels Explained.
  • Protocol Best Practices.
• Alternative Protocols
  • CoAP (Constrained Application Protocol) for Constrained Devices.
  • AMQP / MQTT over AMQP (Standard Data Interchange Formats).
  • HTTP (For Simpler, Less Frequent Updates).
  • WebSockets (Full-Duplex Communication for government).

Module 3: Building Robust IoT Applications with AWS

• Device Onboarding & Secure Connectivity
  • AWS IoT Device Defender Pre-Provisioning for government.
  • Secure Over-The-Air (OTA) Onboarding (e.g., Using AWS IoT Button Concepts).
  • Managing Device Certificates (ACM/PKI).
  • Implementing MQTT with TLS for government.
• Data Ingestion, Storage & Processing
  • Efficiently Sending Data from Devices to AWS IoT Core for government.
  • Choosing the Right Target: Lambda (Event-Driven), Step Functions (Orchestration), Timestream (Time-Series), OpenSearch (Search & Analytics), S3 (Raw Data).
  • Using AWS IoT Analytics for Data Enrichment and Cleansing Before Storage.
  • Handling High-Throughput Scenarios (Kinesis/Firehose).
• Device Management & Operations
  • Using AWS IoT Device Management for Fleet Management.
  • Implementing and Managing OTA Updates (Using AWS IoT Jobs for government).
  • Remote Monitoring and Configuration.
• Building the IoT Backend
  • API Gateway for Creating REST/GraphQL APIs to Interact with Devices and Data.
  • AWS Lambda for Business Logic.
  • AWS Step Functions for Coordinating Distributed Components.
  • Amazon SQS/SNS for Asynchronous Messaging and Event Triggering for government.

Module 4: Edge Computing & Advanced Integration

• AWS IoT Greengrass
  • Concepts (Core, Device, Connector).
  • Running Lambda Functions Locally on the Device.
  • Executing Code Directly on the Device (C++, Python).
  • Secure Communication Between Greengrass Core and AWS/IoT Devices for government.
  • Use Case: Local Data Filtering, Preprocessing, or AI Inference at the Edge.
• Integration with AI/ML
  • Using SageMaker for Complex ML Models in the Cloud for government.
  • Running ML Inference on the Edge with Greengrass ML Accelerator (GMA).
• Data Visualization & User Interfaces
  • Using AWS IoT SiteWise for Industrial Data Visualization.
  • Building Web Apps with AWS Amplify (API, UI, Authentication).
  • Dashboards Using Amazon QuickSight or OpenSearch Dashboards for government.

Module 5: Security, Governance & Best Practices

• IoT Security Lifecycle
  • Secure Design Principles (Defense-in-Depth for government).
  • Secure Development Practices (OWASP IoT Top 10).
  • Vulnerability Management.
  • Threat Modeling for IoT for government.
• AWS Security Services for IoT
  • AWS IoT Device Defender (Service & Device Defender for government).
  • AWS Shield, AWS Identity and Access Management (IAM).
  • AWS Config for Compliance Checks.
  • Hardware Security Modules (HSMs) Integration for government.
• Data Privacy & Governance
  • Handling Sensitive Data (PII).
  • Data Retention and Deletion Policies.
  • Compliance Considerations for government.

Module 6: Hands-on Projects & Capstone

• Guided Hands-on Labs
  • Device Onboarding & MQTT Communication.
  • Implementing Secure Data Ingestion to AWS for government.
  • Building a Simple IoT Dashboard.
  • OTA Update Simulation.
  • Introduction to AWS IoT Greengrass.
• Capstone Project
  • Build a Complete IoT Solution Addressing a Real-World Problem (e.g., Smart Home Automation, Environmental Monitoring, Industrial Sensor Hub).
  • Requirements: Secure Device, Data Ingestion, Processing, Visualization, and Optional Edge Component.
  • Use AWS Services Covered Throughout the Course for government.