Build with Raspberry Pi
From zero to IoT pro. Master hardware programming, Linux, Python GPIO, edge AI, and real-world embedded systems at INFONEXUS IT Institute, Indore.
What is Raspberry Pi?
Raspberry Pi is a low-cost, credit-card-sized computer that plugs into a monitor and uses a standard keyboard and mouse. Used by millions worldwide for IoT, robotics, edge AI, home automation, and industrial monitoring.
At INFONEXUS, our Raspberry Pi course takes you from hardware setup to deploying production IoT systems — with real sensors, real dashboards, and real-world projects.
- Linux OS setup, terminal & shell scripting
- Python GPIO programming with sensors
- MQTT, Node-RED & IoT cloud platforms
- Camera, computer vision & edge AI (TensorFlow Lite)
- Docker, networking & security hardening
- 12+ real-world project builds
Choose Your Learning Track
Three structured tracks for every level — from total beginners to aspiring IoT engineers.
Introduction to Raspberry Pi
- What is Raspberry Pi? Models comparison (Pi 4, Pi 5, Zero)
- Hardware tour: GPIO pins, ports, connectors
- Setting up Raspberry Pi OS (Raspbian)
- First boot, display, keyboard & network setup
Linux Fundamentals
- Linux terminal: navigation, files, directories
- Users, permissions, sudo & package management
- Shell scripting basics (bash)
- SSH remote access & file transfer (SCP/SFTP)
Python for Hardware
- Python basics: variables, loops, functions
- Introduction to RPi.GPIO library
- Digital input & output (LEDs, buttons)
- PWM for LED brightness & motor speed control
Sensors & Actuators
- Temperature & humidity (DHT11/DHT22)
- Ultrasonic distance sensor (HC-SR04)
- PIR motion detection sensor
- Servo motor & relay module control
Networking Basics
- Wi-Fi & Ethernet configuration
- Setting a static IP address
- Ping, ifconfig, netstat commands
- Connecting to internet & APIs with Python
Mini Project: Smart Room
- Temperature & motion monitoring system
- Automatic light control with relay
- LCD display for live sensor data
- Email alert on motion detection
IoT Communication Protocols
- MQTT protocol: publish, subscribe, broker setup
- HTTP REST API calls from Raspberry Pi
- WebSockets for real-time communication
- I2C, SPI, UART serial communication
Node-RED & IoT Dashboards
- Node-RED installation & flow programming
- Building live sensor dashboards
- MQTT integration with Node-RED
- Telegram & email notification nodes
Cloud IoT Platforms
- AWS IoT Core — device registration & shadow
- ThingSpeak for sensor data visualization
- Google Firebase Realtime Database
- Adafruit IO for rapid prototyping
Camera & Image Processing
- Raspberry Pi Camera Module setup
- Image capture, video streaming (FFmpeg)
- OpenCV basics: face & object detection
- QR code & barcode scanning
Database & Storage
- SQLite & MySQL on Raspberry Pi
- Storing sensor data at intervals (cron jobs)
- Data export: CSV, JSON for analysis
- InfluxDB + Grafana monitoring stack
Project: Smart Surveillance System
- Motion-triggered camera capture & alert
- Live MJPEG stream on local network
- Telegram bot for remote viewing
- Data logging to cloud dashboard
Edge AI & Machine Learning
- TensorFlow Lite model deployment on Pi
- Real-time object detection (YOLO-lite)
- Speech recognition on edge device
- Coral USB Accelerator for AI inference
Docker & Containerization
- Docker on ARM (Raspberry Pi) setup
- Docker Compose for multi-service IoT apps
- Portainer for container management
- Building & deploying custom Docker images
Industrial IoT (IIoT)
- Modbus RTU/TCP communication
- OPC-UA server on Raspberry Pi
- Industrial sensor interfacing (4-20mA, RS485)
- SCADA integration basics
Security & Hardening
- Firewall (UFW) & fail2ban setup
- VPN server (WireGuard) on Pi
- TLS/SSL for MQTT & web services
- Secure boot & encrypted storage
Fleet Management & OTA Updates
- Balena Cloud for device fleet management
- Over-the-Air (OTA) firmware & software updates
- Remote monitoring & diagnostics
- CI/CD pipeline for IoT deployments
Capstone: Industrial IoT System
- Full IoT pipeline from sensor to cloud
- Edge AI inference + cloud analytics
- Real-time dashboard + mobile alerts
- Deployment, documentation & portfolio
Hands-On Lab Sessions
The INFONEXUS Edge
Everything designed to get you from idea to deployed IoT product, fast.
Hardware Kit Included
Every student works with a dedicated Raspberry Pi kit — sensors, LEDs, motors, cameras, and breadboards — throughout the course.
Industry Expert Trainers
Learn from IoT engineers with 5+ years of real embedded systems and industrial automation project experience.
Cloud IoT Integration
Go beyond local hardware — connect your Pi to AWS IoT, Google Firebase, and ThingSpeak for full-stack IoT deployment.
Edge AI Training
Deploy TensorFlow Lite models on Raspberry Pi for real-time object detection, speech recognition, and gesture control.
100% Placement Support
Dedicated career services: resume reviews, LinkedIn optimization, mock technical interviews, and direct company referrals.
Flexible Schedules
Morning, evening, and weekend batches. Online + offline hybrid learning available for maximum convenience.
Jobs & Salaries After This Course
IoT and embedded systems engineers are among the fastest-growing roles in India's tech industry.
| Job Role | Experience | Avg. Salary (India) | Key Skills Used |
|---|---|---|---|
| IoT Developer (Junior) | 0–1 Year | 3–5 LPA | Python, GPIO, MQTT, Linux |
| Embedded Systems Engineer | 1–3 Years | 5–9 LPA | Raspberry Pi, Arduino, C, Python |
| IoT Solutions Architect | 3–5 Years | 8–15 LPA | Cloud IoT, Docker, Security |
| Edge AI / ML Engineer | 2–4 Years | 9–18 LPA | TF Lite, OpenCV, Edge Devices |
| IIoT / Automation Engineer | 3–6 Years | 10–20 LPA | Modbus, OPC-UA, SCADA, Linux |
| Freelance IoT Consultant | 1+ Year | ₹800–3000/hr | Pi, Sensors, Cloud, Dashboards |
What Our Graduates Say
"The Raspberry Pi course at INFONEXUS changed my career trajectory completely. I went from a mechanical background to landing an IoT Engineer role at an automation startup. The hands-on hardware sessions are unmatched!"
"Incredible depth of content — from basic GPIO to deploying edge AI on the Pi. The cloud IoT module helped me build a complete smart farming system for my final year project. Highly recommend!"
"The Professional track gave me skills that are rare in the market — IIoT, Docker on ARM, and Balena Cloud. I got placed with 8 LPA package just 45 days after completing the course. INFONEXUS delivers!"
Common Questions
Everything you need to know before enrolling in our Raspberry Pi course.