CertNexus Certified Internet of Things Practitioner ITP-110

Explore the physical components of IoT and edge computing, including sensors, actuators, power options, and signal conversion, and learn how GPS and location services interact with cloud and edge networks.

Explore IoT network components for edge computing, including wired ethernet, wireless options, and protocols like MQTT, AMQP, and HTTPS. Understand broker-publish-subscribe models, topics, IP addressing, and encryption.

Understand cloud computing components, including deployment models (private, public, hybrid), service models (IaaS, PaaS, SaaS), virtualization types, Docker containers, and analytics and AI in the cloud.

Explore IoT market sectors and how devices transform agriculture, security, retail, transportation, manufacturing, healthcare, energy, and city management. See practical examples like livestock tracking, warehousing, and remote monitoring.

Explores IoT security and privacy concerns, including malware, botnets, ddos, man-in-the-middle, social engineering, default passwords, and injection attacks.

Learn high-level IoT security and privacy countermeasures, including confidentiality with encryption and certificates, integrity with checksums, availability through replicated cloud services, and ongoing updates and vulnerability assessments.

Explore IoT safety concerns across physical risks, including loss of life and assets, and failures in medical devices and infrastructure. Understand personal health information, misdiagnosis, and supply chain vulnerabilities.

Assess IoT safety risk management by front-loading analysis of possible hazards, implementing quality control, taking corrective actions, and employing third-party certification to meet industry safety standards.

Explore the IoT software development life cycle, from initiation and planning through requirements analysis, design, development, integration testing, deployment, maintenance, and security considerations.

Initiate the project by defining a simple goal within the development life cycle, plan staffing, and launch a proof-of-concept to automate plant watering based on moisture needs.

Plan the project by comparing flood-and-drain and drip irrigation, analyzing costs, and choosing a simple IoT-driven flood-and-drain setup for one plant with sensors and a pump.

Analyze and gather requirements for an IoT watering project, identifying functional needs (soil moisture sensing, pump control, delivery) and security considerations (network sequestering, updates), plus sensor and controller trade-offs.

Design a self-watering plant system using a soil moisture sensor, a submersible pump, tubing, a tote for nutrient water, and an ESP 82 66 microcontroller for simple moisture-based control.

Develop environment setup by configuring the Arduino IDE for ESP32 and ESP8266, choosing local installations, and preparing to upload sketches via the Boards Manager.

Wire an ESP8266 with a soil moisture sensor and a relay on a breadboard to read moisture levels and automate a water pump.

Teaches programming a microcontroller to read a soil moisture sensor, map the reading to a percentage, and drive a relay to water automatically, using Arduino IDE, setup and loop.

Test the integrated IoT watering solution by cycling the pump, validating soil moisture controls, and using a moisture sensor to manage irrigation cycles, with hardware and circuit inspections before deployment.

Learn deployment and maintenance for an IoT solution, including weatherproofing, production-ready sensors, and a maintenance schedule to prevent corrosion and ensure reliable long-term operation.