Internet of Things

A practical, mentor-driven program covering the essential concepts of IoT with real deployments, industry tools, and IIT COE lab experience. Perfect for anyone aiming to build strong fundamentals and a professional-level portfolio.

45 days
Online + Offline
Beginner friendly
No prior experience required
Industry focused
Learn what industry needs
LOR + IIT internship Certificate
Credentials that boost careers

What you'll learn

Master core IoT architecture with ESP32/Raspberry Pi, sensors & actuators, Communication protocol, and cloud dashboards. Build real, industry-grade smart devices and data driven IoT projects, including a fullscale cloud Mega Project. Strengthen C/Python coding, API integration, visualization tools, and essential career skills.

Skills you'll gain

IoT Architecture Sensor & actuators Ardiuno platform & interfacing Raspberry Pi Platform & interfacing IoT Connectivity & protocols Bluetooth module & WiFi IOT Cloud Platforms Data Processing and Visualization Edge AI & TinyML Project Management Startup Mindset
Week 1 : IoT Foundations & Orientation
Technical Track
  • IoT Architecture, ESP32 basics, Mini Project 1 Kick-off
  • Arduino basics, Arduino Interfacing, Raspberry Pi Introduction, Documentation & Git
  • Sensors & Actuators, Component Selection
Professional & Non-Technical Skills
  • Internship Orientation & Goal Setting
  • Technical Documentation Standards (Thesis Writing & Report Structuring)
Week 2 : IoT Communication & Programming
Technical Track
  • MQTT, HTTP, Network Topology, Mini Project 2: Broker Simulation
  • Programming in C & Python, IDE Setup, Hands-on Coding
  • Embedded Coding, REST API Integration, Dashboard Interaction
Professional & Non-Technical Skills
  • Resume & LinkedIn Optimization Workshop
  • Email Writing for Tech Professionals
  • Storytelling with Tech Projects
Week 3 : Cloud, Data & Visualization
Technical Track
  • IoT Cloud Platforms, Device Registration, Cloud Rules Engine, Mini Project 3
  • JSON Parsing, Visualization Dashboards
  • Mega Project Ideation, Team & Stack Finalization, Thesis Methodology
Professional & Non-Technical Skills
  • Interview Preparation & Confidence Building
  • Business Model Canvas (Startup Planning)
  • Project Risk Management Techniques
Week 4 : Hardware Labs & Edge AI
Technical Track
  • ESP32 Lab Setup, Data Logger, Edge AI Alert System
  • Mega Project Phase 1, Cloud Logging PoC
  • TinyML/Geo-Fencing, Two-Way Communication
Professional & Non-Technical Skills
  • Public Speaking & Presentation Skills
  • Career Guidance & Future Pathways
Week 5 : Integration, Testing & Career Prep
Technical Track
  • Mega Project Integration Phase 2, Optimization & Feature Freeze
  • Deployment & Testing, MVP Prep
  • Thesis Drafting, Demo Rehearsal, Internal Evaluation
Professional & Non-Technical Skills
  • Time Management & Agile Methodology Basics
  • Mock Interviews (Technical + HR)
Week 6 : Finalization, Viva & Certification
Technical Track
  • Mega Project Final Demo & Viva
  • Final Thesis Submission
  • Certification, Career Mapping, Networking & Closure
Professional & Non-Technical Skills
  • Startup Funding & Incubation Guidance
  • Networking & Internship Closure

Learning Outcomes

IoT & Embedded Foundations

Master sensors, actuators, ESP32/Raspberry Pi, and core hardware workflows.

Protocol & Connectivity Skills

Work with MQTT, HTTP, network topology, cloud linking, and device communication.

Embedded & Python Programming

Build firmware-level C code, Python automation, and API-integrated systems.

Cloud & Visualization Expertise

Deploy devices on IoT clouds, configure rules engines, and build real-time dashboards.

Full-Scale IoT Project Development

Create automation systems, data loggers, edge AI tools, and a deployed Mega Project.

Career & Documentation Readiness

Graduate with a thesis, project portfolio, certification, and LOR from PHN Technology.

Certificate

Certificate Preview

Prepare for a Career in IoT & Embedded Systems

  • Learn core IoT skills with sensors, microcontrollers, ESP32/Raspberry Pi, and cloud.
  • Build real-world automation, data logging, and edge AI projects.
  • Gain strong hardware–software integration and embedded coding skills.
  • Earn an IIT internship certificate, LOR and a portfolio to boost your career.

6 Weeks

Hands-on learning with industry mentors

8 Projects

7 Mini projects + a full-scale IoT Mega Project

100% Practical

Real-world IoT, cloud, MQTT & embedded implementation

Industry Recognition

Certificate + thesis reviewed by experts