Emerging Technologies · PPL

IoT Engineering Certification

An advanced program designed to develop practical IoT engineering skills in connected devices, embedded systems, communication protocols, cloud integration, edge computing, security, and automation.

  • 4 DaysDuration
  • PPLAccredited
  • 3 LanguagesArabic · English · Hindi
  • ₹16,999.00 Per delegate

This course is accredited by PPL

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— The journey

Course Outline

What the programme covers, module by module.

Module 1: Introduction to IoT Engineering

  • IoT engineering fundamentals
  • Connected systems
  • IoT ecosystem
  • IoT applications
  • Engineering challenges
  • IoT solution lifecycle

Module 2: IoT Architecture

  • Device layer
  • Connectivity layer
  • Edge layer
  • Platform layer
  • Application layer
  • End-to-end architecture

Module 3: Embedded Systems Fundamentals

  • Embedded architecture
  • Microprocessors
  • Microcontrollers
  • Memory
  • Input and output
  • Embedded applications

Module 4: Sensors & Transducers

  • Sensor principles
  • Temperature sensors
  • Humidity sensors
  • Pressure sensors
  • Motion sensors
  • Environmental sensors

Module 5: Actuators & Control Devices

  • Actuator fundamentals
  • Relays
  • Motors
  • Solenoids
  • Control signals
  • Device automation

Module 6: Microcontroller Programming

  • Microcontroller architecture
  • GPIO
  • Digital input/output
  • Analog input
  • PWM
  • Device programming

Module 7: Arduino for IoT

  • Arduino architecture
  • Development environment
  • Sensor interfacing
  • Actuator control
  • Serial communication
  • IoT prototyping

Module 8: ESP32 for IoT

  • ESP32 architecture
  • Wi-Fi connectivity
  • Bluetooth
  • GPIO
  • Sensor integration
  • Connected applications

Module 9: Raspberry Pi for IoT

  • Raspberry Pi architecture
  • Operating system
  • GPIO
  • Python integration
  • Device connectivity
  • Edge applications

Module 10: IoT Networking

  • TCP/IP fundamentals
  • IP addressing
  • Wi-Fi
  • Bluetooth
  • Cellular networks
  • Network selection

Module 11: Low-Power IoT Connectivity

  • Low-power networking
  • Zigbee concepts
  • LoRaWAN concepts
  • NB-IoT concepts
  • Power considerations
  • Connectivity selection

Module 12: MQTT

  • MQTT architecture
  • Publishers
  • Subscribers
  • Brokers
  • Topics
  • Quality of Service

Module 13: IoT Communication Protocols

  • HTTP and HTTPS
  • REST
  • CoAP concepts
  • WebSockets
  • Protocol comparison
  • Protocol selection

Module 14: IoT Gateways

  • Gateway architecture
  • Device aggregation
  • Protocol translation
  • Local processing
  • Data filtering
  • Cloud connectivity

Module 15: Edge Computing for IoT

  • Edge architecture
  • Local processing
  • Edge nodes
  • Latency reduction
  • Offline operation
  • Edge-cloud workflows

Module 16: IoT Data Acquisition

  • Sensor data collection
  • Sampling
  • Data filtering
  • Signal processing
  • Data transformation
  • Data quality

Module 17: IoT Data Storage

  • Time-series data
  • Local storage
  • Cloud storage
  • Databases
  • Data retention
  • Data lifecycle

Module 18: Cloud Platforms for IoT

  • Cloud IoT architecture
  • Device connectivity
  • Data ingestion
  • Message processing
  • Cloud storage
  • Cloud applications

Module 19: IoT APIs & Application Integration

  • REST APIs
  • Device APIs
  • Application services
  • Data exchange
  • Backend integration
  • API-based workflows

Module 20: IoT Dashboards & Visualisation

  • Dashboard design
  • Real-time data
  • Charts
  • Device status
  • Alerts
  • Operational monitoring

Module 21: IoT Device Management

  • Device registration
  • Provisioning
  • Configuration
  • Remote monitoring
  • Firmware updates
  • Device lifecycle

Module 22: Over-the-Air Updates

  • OTA concepts
  • Firmware distribution
  • Update workflows
  • Version management
  • Rollback
  • Update security

Module 23: IoT Security

  • Device security
  • Network security
  • Authentication
  • Authorisation
  • Encryption
  • Secure communication

Module 24: IoT Identity & Access Management

  • Device identities
  • Credentials
  • Certificates
  • Access policies
  • Key management
  • Secure provisioning

Module 25: IoT Analytics

  • IoT data analytics
  • Trend analysis
  • Anomaly detection
  • Operational metrics
  • Event analysis
  • Data-driven insights

Module 26: AI & Machine Learning for IoT

  • AIoT concepts
  • Machine learning inference
  • Edge AI
  • Predictive models
  • Intelligent devices
  • AI-enabled automation

Module 27: IoT Automation

  • Event-driven automation
  • Rules
  • Triggers
  • Device control
  • Automated responses
  • Workflow integration

Module 28: IoT Reliability & Scalability

  • Device scalability
  • Message scalability
  • Fault tolerance
  • Connectivity resilience
  • High availability
  • Performance planning

Module 29: IoT Monitoring & Troubleshooting

  • Device diagnostics
  • Network troubleshooting
  • Protocol debugging
  • Gateway issues
  • Cloud connectivity
  • Performance monitoring

Module 30: Integrated IoT Engineering Project

  • Device and sensor integration
  • MQTT communication
  • Gateway configuration
  • Edge processing
  • Cloud integration
  • Dashboard and monitoring
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • Live instructor on-site
  • Printed workbook & materials
  • Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • Live instructor via video call
  • Digital workbook & resources
  • Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • On-demand video lessons
  • Interactive quizzes
  • 24/7 access on any device
— What you will master

Course Objectives

01

Design advanced IoT architectures integrating devices, networks, edge systems, and cloud services.

02

Interface sensors, actuators, microcontrollers, and embedded devices for connected applications.

03

Implement IoT networking and communication using MQTT, HTTP, REST, and related technologies.

04

Develop IoT gateway and edge computing workflows for local data processing.

05

Integrate connected devices with cloud platforms, APIs, storage, and dashboards.

06

Implement device provisioning, remote management, and OTA update workflows.

07

Apply security, identity management, reliability, and scalability principles to IoT environments.

08

Develop intelligent IoT solutions using analytics, automation, and Edge AI concepts.

— Questions answered

Frequently Asked Questions

What is IoT Engineering?
IoT Engineering involves designing and developing connected systems that integrate sensors, embedded devices, communication networks, edge computing, cloud platforms, and software applications.
Who should attend this course?
The course is suitable for IoT engineers, embedded systems engineers, electronics engineers, software developers, cloud professionals, and technical working professionals.
Do I need programming experience?
Basic programming and electronics knowledge is recommended because this advanced program covers microcontrollers, embedded devices, APIs, cloud integration, and IoT application development.
Which technologies are covered?
The course covers Arduino, ESP32, Raspberry Pi, MQTT, HTTP, REST APIs, IoT gateways, edge computing, cloud platforms, device management, IoT security, analytics, and Edge AI.
What practical skills will I develop?
You will develop skills in sensor integration, embedded programming, IoT communication, gateway development, edge processing, cloud connectivity, device management, security, monitoring, and IoT solution development.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Aarti SharmaSenior Project Manager · TCS
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director · Capgemini
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead · Standard Bank

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

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