Smart City and Environmental Monitoring
Learn IoT for urban and environmental monitoring: air quality, noise, water and waste use cases, sensor networks and open-data dashboards.
- Level
- Intermediate
- Duration
- Confirmed at enquiry
- Mode
- Online across India; confirm batch
- Fee
- Enquire for current fee
About this course
Smart-city applications use distributed sensing to understand traffic, air quality, noise, water, waste and energy. They share common technical challenges: many nodes, limited power, uneven connectivity, and the need to turn noisy measurements into decisions that are trustworthy.
This course covers environmental sensing, network design for many nodes, data quality and public dashboards, and the privacy and governance issues that arise when sensing happens in shared spaces.
Who is this course for?
- Civil, environmental, electronics and IT students
- Project students focusing on urban technology
- Learners who completed ESP32 or complete IoT basics
Eligibility
For learners with basic microcontroller and networking understanding. Exact eligibility is confirmed at enrollment.
Prerequisites recommended
Basic ESP32 or Arduino knowledge and familiarity with MQTT concepts.
Syllabus: 6 modules
1Smart-city IoT landscape
- Use cases and stakeholders
- Architecture for city-scale sensing
- Data ownership and privacy
2Environmental sensors
- Particulate matter, gas, temperature and humidity sensors
- Noise level measurement basics
- Sensor drift, calibration and reference data
3Networks for many nodes
- Wi-Fi, LoRaWAN and cellular trade-offs
- Topic design for hundreds of nodes
- Provisioning and identification
4Data quality and analysis
- Cleaning, smoothing and outlier handling
- Aggregations and time windows
- Communicating uncertainty
5Dashboards and public data
- Maps and time-series visualisation
- Alert thresholds and health indices at a conceptual level
- Publishing open data responsibly
6Project
- Multi-node environmental monitor prototype
- Data-quality report
- Presentation of findings and limitations
Tools and technologies covered
- ESP32
- PM and gas sensors (e.g. PMS-series, MQ-series, BME280)
- MQTT
- LoRaWAN (concepts)
- Dashboards
- Python for data cleaning
Practical exercises and project examples
- Indoor and outdoor air-quality monitor prototype
- Noise-level logger with time-series dashboard
- Multi-node temperature and humidity network
- Data-quality comparison of two sensors
These are example exercises and project concepts for this course, not a record of projects completed by past learners.
Outcomes, career directions and limits
Skills you should be able to demonstrate
- Select suitable environmental sensors and explain their limitations
- Design the topic and identity scheme for multiple nodes
- Clean and summarise sensor data with simple methods
- Present environmental data with appropriate caveats
Relevant career directions
- Environmental-monitoring and civic-tech project roles after further practice
- Foundation for data-focused IoT work
- Research and academic project support
What this course does not do
- Low-cost sensors are indicative and not regulatory-grade; the course explains the difference.
- Compliance with environmental regulations is not covered.
Career outcomes depend on your skills, portfolio, experience and employer requirements. No course can guarantee a job.
Delivery, batches and fees
Delivery and batch
Online training is available across India. Offline training is offered only at confirmed locations. Batch timings are confirmed by the training team.
Course fee
Enquire for Current Course Fee
Special fee benefits may be available on selected courses. Contact us to confirm the current fee, what it includes and any offer conditions.
Check Your Special Course FeeSmart City and Environmental Monitoring: frequently asked questions
Are low-cost air-quality sensors accurate?
They are useful for trends and relative comparisons but have known limitations such as humidity sensitivity and drift. The course teaches how to evaluate and communicate those limits.
Is this about building a city platform?
The course focuses on the sensing, network and data skills that underpin such platforms, using small prototypes.
Do I need LoRa hardware?
No. LoRaWAN is covered conceptually; hands-on work uses ESP32 unless confirmed otherwise.
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Learners across India take this course online
City guides explain how online delivery works for learners in each city and which project themes fit.