Real-time sensor data, IoT devices and predictive solutions.
Real-time sensor data, IoT devices and predictive solutions.
Learn from experienced trainers who guide you step by step, from the basics to real projects.
Build hands-on projects based on real-world use cases to apply what you learn and strengthen your portfolio.
Get help with resume building, interview preparation and job search so you are ready for the job market.
Get an opportunity to gain practical, hands-on experience through an internship after the course.
Receive a certificate on completing the course to showcase your skills to employers.
Take part in a face-to-face interview with industry experts to get feedback and build confidence for real interviews.
IoT devices produce data every second. In this course you will learn how to collect data from sensors, send it to the cloud in real time, store and analyse it, and use machine learning to predict what happens next. The course ends with real-world IoT projects, from device to dashboard.
Python
ESP32 / Raspberry Pi
Sensors
MQTT
Pandas
scikit-learn
Cloud IoT Platform
GitHubRead temperature and humidity sensors and log the data with Python.
What you will do
Skills you will use
A working monitor that reads temperature and humidity and logs the readings.
Stream sensor data to the cloud and show it on a real-time dashboard with alerts.
What you will do
Skills you will use
A real-time dashboard that shows live sensor data and raises alerts.
Detect anomalies and predict machine faults from sensor data.
What you will do
Skills you will use
A model that spots unusual sensor readings and predicts likely machine faults.
Build a connected solution from device to cloud to prediction, such as smart farming or energy monitoring.
What you will do
Skills you will use
A connected solution from device to cloud to prediction, presented to an audience.
Start your Data and AI journey with Python, Statistics, SQL and machine learning.
Real IoT projects and a certificate that help you stand out in campus and off-campus interviews.
A smooth step from the basics to working with real-time sensor data.
The skills to turn data from your devices into live dashboards and predictions.
A clear path from connected devices to analysis and predictions on real-time data.
Prepare to take your skills into the job market through:
No. Basic electronics awareness is helpful but not required. Knowing Python basics is a plus, and basic Pandas is helpful.
Degree freshers (BCA, BSc CS, BE/BTech, MCA, MSc CS, MTech), Beginner Track students ready for the next level, electronics and embedded students curious about data and AI, and professionals who want to combine IoT devices with analytics.
Three months, planned as a 12-week roadmap from IoT basics and sensors to predictive IoT projects.
Start with Course 1: Python for Data Science & Machine Learning, then join this course.
Yes. You receive a certificate on completion, and an internship opportunity is part of the program.
Visit us at 6th Level, Oberle Towers, Balmatta, Opp. Juice Junction, Mangalore, Karnataka 575001 · +91 78925 81597 · (0824) 4256456
For any queries, you can WhatsApp us at +91 78925 81597
For any queries, you can mail us at contact@lpoint.in
