The Internet of Things now connects billions of devices across manufacturing, healthcare, energy, and logistics, and AWS remains the dominant cloud platform powering that connectivity. This AWS IoT Training walks you through device provisioning, the IoT Core rules engine, Greengrass edge runtimes, Device Defender security, and digital twins with IoT TwinMaker. You will work on live projects that mirror real deployments, building the practical expertise employers expect from IoT engineers, cloud developers, and solutions architects working with connected devices today.
Prerequisites
This course is designed to be accessible to learners from both software and hardware backgrounds. Before you begin, it helps to have:
- A basic understanding of cloud computing concepts (an AWS account is enough to start).
- Familiarity with Python or JavaScript for writing simple scripts and Lambda functions.
- A general awareness of networking concepts such as IP addresses, ports, and TCP/IP.
- No prior AWS certification is required – this course is also suitable for absolute beginners.
Course Objectives
- Understand core IoT architecture patterns and how AWS IoT services fit together end to end.
- Provision, connect, and authenticate IoT devices securely using X.509 certificates and IoT policies.
- Build and deploy edge applications using AWS IoT Greengrass for local processing and offline resilience.
- Process and route device telemetry using the IoT Core rules engine, Kinesis, Lambda, and Athena.
- Implement device fleet monitoring, auditing, and threat detection with AWS IoT Device Defender.
- Visualize industrial data and build digital twins using IoT SiteWise and IoT TwinMaker.
- Apply AWS Well-Architected IoT Lens principles to design secure, cost-optimized IoT workloads.
What You Will Learn
- How AWS IoT Core handles device connectivity over MQTT, HTTPS, and LoRaWAN.
- Device provisioning at scale using Just-in-Time Provisioning and Fleet Provisioning templates.
- Writing rules-engine SQL statements to filter, transform, and route incoming device data.
- Deploying containerized and Lambda-based components to edge devices with Greengrass v2.
- Running local machine learning inference at the edge using SageMaker-optimized models.
- Setting up Device Defender audits, detect profiles, and mitigation actions for compromised devices.
- Building industrial data pipelines with IoT SiteWise asset models and IoT TwinMaker scenes.
- Tracking connected vehicle and fleet telemetry using AWS IoT FleetWise.
- Cost governance and monitoring practices for large-scale IoT deployments.
Who Should Enroll in This Course?
This AWS IoT Certification Course is built for professionals who want to design, build, or secure connected-device solutions on AWS.
- Cloud engineers and developers moving into IoT-focused roles.
- Embedded systems engineers who want to extend device firmware into the AWS cloud.
- Solutions architects designing connected products for manufacturing, healthcare, or logistics.
- IT and networking professionals responsible for device fleets and edge infrastructure.
- Data engineers who need to ingest and process high-volume telemetry streams.
- Students and career switchers looking for AWS IoT for beginners with no prior cloud experience.
Skills You Will Gain
- IoT device provisioning and X.509 certificate-based authentication
- MQTT messaging and rules-engine data routing
- Edge computing and offline-first application design with Greengrass
- IoT security auditing and anomaly detection
- Industrial asset modeling and digital twin creation
- Serverless data pipelines using Lambda, Kinesis, and Athena
- Fleet-scale monitoring, OTA updates, and device shadow management
- Cost optimization and architecture review using the AWS IoT Lens
Tools Covered
- AWS IoT Core (device gateway, rules engine, device shadow)
- AWS IoT Greengrass v2 (edge runtime and components)
- AWS IoT Device Defender and Device Management / Fleet Hub
- AWS IoT SiteWise and AWS IoT TwinMaker
- AWS IoT FleetWise
- Amazon Kinesis, AWS Lambda, Amazon DynamoDB, and Amazon Athena
- Amazon S3 for data lake storage
- AWS IoT Core Device Location with Amazon Sidewalk
- AWS Skill Builder digital labs for guided, sandboxed practice
Career Outcomes
Completing this AWS IoT Course positions you for roles across manufacturing, energy, healthcare, and connected-product companies.
- IoT Solutions Architect
- IoT Developer / Cloud IoT Engineer
- Industrial IoT (IIoT) Engineer
- IoT Security Engineer
- Embedded Systems Engineer (cloud-connected devices)
- IoT Data Engineer
- Connected Product / IoT Program Manager
Why Choose kodestree?
kodestree has trained professionals across cloud, data, and emerging technologies, and this AWS IoT Online Training is designed around that same practical, project-first approach.
- Live, instructor-led sessions with recordings for flexible revisiting
- Hands-on labs on a real AWS sandbox environment, not simulations
- Two real-world capstone projects reviewed by an instructor
- Lifetime access to session recordings and course materials
- Resume and interview preparation support
- Small batch sizes for direct instructor interaction
- Flexible weekday and weekend batch options
