ELINAUT

E L I N A U T

Address
Vennala puthiya Road Thykauv jun, opp. Clearway Appt, Arakkakadavu, Kakkanad, Kerala 682028
Email
mail@elinaut.com
Contact
+91 9567863498

Select Curriculum:

Introduction to IoT - 1-month Intermediate IoT - 3 Month Advanced IoT - 6 month

Target Audience

Intermediate learners or those who completed the 3-month course.

Objective

Master advanced IoT concepts, including edge computing, AI integration, and industrial applications.

What You'll Learn

480 hours of comprehensive training

20 hours per week

Hands-on practical experience

Industry-relevant curriculum

Expert instructors

Week 1-6: Advanced IoT Systems

Edge Computing in IoT (18 hours)
- Edge vs. cloud computing.
- Implementing edge analytics with Raspberry Pi.
Advanced Protocols and Connectivity (12 hours)
- 5G for IoT, satellite communication.
- Industrial protocols (e.g., OPC UA, Modbus).
Lab: Building an edge-computing IoT system (20 hours).
IoT Device Management (10 hours)
- Over-the-air (OTA) updates, fleet management.

Week 7-12: AI and ML in IoT

AI for IoT (15 hours)
- Machine learning on edge devices (e.g., TensorFlow Lite).
- Predictive maintenance and anomaly detection.
Data Analytics in IoT (15 hours)
- Big data tools (e.g., Apache Kafka) for IoT streams.
- Visualization with Grafana.
Lab: Integrating AI into an IoT system (20 hours).
Security Advanced (10 hours)
- Blockchain for IoT security, threat modeling.

Week 13-18: Industrial IoT (IIoT)

IIoT Fundamentals (15 hours)
- Industry 4.0, SCADA integration.
- Cyber-physical systems.
IIoT Applications (12 hours)
- Smart manufacturing, supply chain.
- Integration with robotics and automation.
Lab: Designing an IIoT system (23 hours).

Week 19-24: Advanced Projects and Applications

IoT System Design (15 hours)
- Scalable architectures for large deployments.
- Sustainability in IoT (energy harvesting).
Project Management (10 hours)
- IoT project lifecycle, risk assessment.
- Standards compliance (e.g., ISO/IEC 30141).
Lab: Developing a large-scale IoT project (25 hours).
Capstone Project: End-to-end IoT system with AI and cloud (20 hours).
Industry Case Studies and Certification Prep (10 hours)
- Real-world IoT projects (e.g., smart cities).
- Preparation for certifications (e.g., Cisco IoT, AWS IoT Specialty).

Prerequisites

Basic programming or electronics knowledge for the 1-month course; completion of prior modules or equivalent for 3-month and 6-month courses.

Tools & Software

Arduino IDE

Raspberry Pi

MQTT brokers

AWS IoT

Azure IoT

TensorFlow Lite

Node-RED.

Delivery Mode

Combination of lectures, hands-on labs, and project work.

Assessment

Weekly quizzes, lab assignments, and capstone projects.

Certification

Certificate of completion for each module; preparation for industry-recognized certifications in the 6-month course.

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Duration 480 hours
Weekly 20 hours
Level All Levels

Available Curricula

Introduction to IoT - 1-month

Duration: 1-month

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Intermediate IoT - 3 Month

Duration: 3-month

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Advanced IoT - 6 month

Duration: 6-month

Selected

Course Highlights

Expert instructors with industry experience
Hands-on projects and real-world applications
Flexible learning schedule
Placement assistance

Diploma in IoT

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