
Internet of Things IoT
The Professional IoT Course is a comprehensive and hands-on program designed to equip learners with the technical knowledge and practical skills required to design, develop, and deploy IoT solutions. The course covers a wide range of topics, including IoT architecture, microcontroller programming, sensor interfacing, cloud integration, communication protocols, and industrial applications. Starting with the fundamentals of IoT and Arduino programming, the course progresses through advanced topics like NodeMCU, ESP8266, Raspberry Pi Pico-W, MQTT, and cloud platforms such as Blynk and ThingSpeak. Learners will explore the intricacies of IoT security, edge computing, and AI/ML integration for IoT applications. The course also includes multiple project-based modules where learners will design and implement real-world IoT solutions, enhancing their problem-solving and critical-thinking abilities.
Course Expectations:
- Learners will develop a strong foundational understanding of IoT architecture, devices, and communication protocols.
- They will be able to interface different sensors, actuators, and display modules with microcontrollers such as Arduino and Raspberry Pi Pico.
- Learners are expected to configure and program IoT devices using Arduino IDE, MicroPython, and Thonny IDE.
- The course encourages hands-on experimentation with cloud platforms to send, retrieve, and visualize sensor data.
- By the end of the course, learners will be proficient in developing IoT-based automation systems and integrating them with cloud platforms.
- Learners will work on individual and group projects that simulate real-world IoT applications.
Course Goals:
- Master IoT Fundamentals: Understand IoT protocols, architectures, and networking concepts.
- Proficiency in Microcontroller Programming: Learn to develop and debug programs for Arduino and Raspberry Pi Pico.
- Sensor and Actuator Interfacing: Develop skills to work with multiple types of sensors, actuators, and display modules.
- Cloud Integration: Implement cloud-based solutions to monitor, control, and analyze data.
- Implement AI/ML in IoT: Learn to apply machine learning techniques for predictive analysis in IoT.
- Develop IoT Projects: Design and deploy IoT solutions in practical scenarios.
- LIVE Online
- Offline in Kolkata
- Offline in Durgapur
- Offline in Institutions / Companies (for institutional and corporate training)




Course Modules
Industrial
- Duration - 40 Hours (2/3/4/6/8 Weeks)
- Daily / Weekly Classes
- 2 Case Studies & 1 Live Project
- Industrial Courses are only for students. You can avail this by producing valid proof of studentship. Work on assignments, case studies, and projects.
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WHEN WILL YOUR COURSE/TRAINING/INTERNSHIP START AFTER ADMISSION?
As per our policy, we start the course/training/internship within 10 days from the date of enrollment. If you enroll for future month/date, our schedule team will coordinate with you and assign your class. To communicate with our schedule team for preferred timing, email to training@ardentcollaborations.com. All courses/internships can be scheduled in customised manner as per your requirements. - Download Content
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Professional
- Duration - 80 Hours (12/16/20/24 Weeks)
- Daily / Weekly Classes
- 4 Case Studies & 1 Minor Project & 1 Live Project
- Professional Courses are more comprehensive. The learning is case study based and project oriented. Ideal for passout students and working professionals.
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WHEN WILL YOUR COURSE/TRAINING/INTERNSHIP START AFTER ADMISSION?
As per our policy, we start the course/training/internship within 10 days from the date of enrollment. If you enroll for future month/date, our schedule team will coordinate with you and assign your class. To communicate with our schedule team for preferred timing, email to training@ardentcollaborations.com. All courses/internships can be scheduled in customised manner as per your requirements. -
Download Content
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SUMMER OFFER- SAVE 54%
3000013800