Program

IoT & Smart Solutions Engineer

IoT has moved from experimentation to infrastructure. Cities are deploying large-scale sensor networks for parking, lighting, and environmental monitoring. Industries are adopting IoT for predictive maintenance, automation, and asset visibility. Agriculture is increasingly driven by sensor-based decision systems.

The bottleneck is system-level engineering.

Organizations struggle to design IoT solutions that scale beyond pilots—solutions that remain reliable, secure, and cost-effective across cities, industrial parks, or agricultural regions.

Many engineers understand IoT components individually, but struggle to design complete deployments. They know what LoRaWAN and NB-IoT are, yet hesitate when asked to plan coverage, integrate WiFi + LoRaWAN, optimize sensor placement, and architect edge-to-cloud data flows reliably.

Design city-scale LoRaWAN coverage and gateway capacity

Engineer secure device onboarding, management, and data flows

Integrate WiFi for smart buildings and mixed IoT networks

Use GIS to validate coverage, placement, and deployment planning

17 Weeks Solution-driven LoRaWAN · NB-IoT · WiFi 6 GIS Coverage Planning

Book a Free 30-Minute Consultation Watch Teaching Style

First 3 live classes are free to evaluate. Withdraw after session 3 with no payment obligation.

Clear, Measurable Outcomes

By Week 17, you will have designed and documented:

• LoRaWAN network for a 100-acre industrial park (gateway placement, coverage analysis, capacity planning)
• Smart office building deployment (50,000 sq ft, WiFi 6 + IoT sensors, automation architecture)
• Smart parking solution for 200 parking spaces (sensor selection, LoRaWAN connectivity, platform integration)
• Capstone: Smart city deployment (20+ gateways, 500+ lights, 10 monitoring sites, smart parking) with GIS maps, BoM, and ROI analysis

Not a survey course

This is a solution engineering program. You graduate with deployable system designs, documentation, and maps—not disconnected demos.

Target Job Roles

• IoT Solutions Architect
• LoRaWAN Network Engineer
• Smart City Network Planner
• Industrial IoT Engineer
• Sensor Network Designer
• IoT Project Manager

Industries Hiring

• Smart city vendors (Cisco, Ericsson smart city divisions)
• Industrial IoT (manufacturing, energy, utilities)
• Agriculture technology (precision farming)
• System integrators (IoT deployments)
• Startups (IoT platforms and solutions)

Week-by-Week Breakdown

Weeks 1–5: IoT Network Fundamentals

Week 1: IoT Architectures & Protocols

• IoT architectures and design patterns
• Protocols: MQTT, CoAP (where they fit)

Weeks 2–3: LoRaWAN Network Design

• Gateway placement and coverage planning
• Capacity planning and constraints
Practical: LoRaWAN design using simulators + real gateway (if available)

Week 4: NB-IoT & LTE-M

• Cellular IoT overview
• Use cases and design considerations

Week 5: Security & Device Management

• Threat model for IoT
• Device onboarding and lifecycle
• Security controls and operational practices

Weeks 6–9: WiFi for IoT & Smart Buildings

Weeks 6–7: WiFi 6/6E for IoT Devices

• Coverage vs capacity for IoT
• Design constraints for dense device populations

Week 8: Smart Building Applications

• Building automation patterns
• Sensors, gateways, and control layers

Week 9: Integration with IoT Platforms

• Edge-to-cloud data flows
• Platform integration fundamentals
Practical: Design WiFi + IoT sensor network for a 50,000 sq ft office building

Weeks 10–12: Smart City & Applications

Week 10: Smart City Architectures

• Reference architectures
• Reliability, operations, and scaling

Week 11: Smart City Applications

• Lighting, parking, environmental monitoring
• Planning constraints and trade-offs

Week 12: Agriculture IoT & Asset Tracking

• Precision agriculture patterns
• Asset tracking architectures and constraints
Practical: Smart parking solution design (200 spaces)

Weeks 13–14: GIS for IoT Networks

Weeks 13–14: Sensor Placement & Coverage Mapping

• Sensor placement planning
• Coverage mapping and validation
Practical: GIS-based LoRa coverage planning

Weeks 15–17: Capstone + Career Readiness

Weeks 15–16: Capstone Project

Project: Smart City Deployment

• City-wide LoRaWAN network (20+ gateways)
• Smart street lighting (500+ lights)
• Environmental sensors (10 locations)
• WiFi for public spaces
• GIS maps, architecture, BoM, ROI analysis

Week 17: Career Readiness

• CV for IoT / smart city roles
• LinkedIn: IoT projects, LoRaWAN experience
• Job search: vendors, startups, system integrators
Mock interview

All Programs Include

Weekly quizzes (assess understanding)

Problem-solving sessions (troubleshoot real scenarios)

Q&A sessions (clarify doubts)

Access to training materials (PDF notes, video library)

Software/tool access (industry-standard and open-source)

Small class size (5 students maximum)

Flexible delivery (in-person Plano, TX or live online)

Book a Free 30-Minute Consultation

First 3 classes are free to evaluate · Flexible payment plans available