IOT/AIOT Training

Bywalid

(0 Reviews)

Aperçu
Détails
Reviews

KOSMOS Technologies

Process of Training And Development

Keys Of Training Principles

Progressive Learning

Structure the course content to build from basic concepts to advanced techniques, ensuring a gradual and comprehensive understanding.

Hands-On Experience

Incorporate practical exercises and real-world projects to reinforce theoretical knowledge and develop practical skills.

Relevance to industry

Use case studies and examples from the green technology sector to illustrate the integration of IoT/AIoT into realworld applications.

Continuous Feedback

Provide regular assessments, quizzes, and feedback sessions to monitor progress and address areas for improvement.

Ethical & Sustainable Practices

Emphasize the importance of ethical systems development and sustainable practices, promoting responsible use of technology to address environmental challenges.

Levels Of Training

Level 1: Introduction IoT and AIoT concepts

Develop a foundational understanding of IoT and AI concept while learning about the core components of IoT systems, including sensors, actuators, and gateways and discovering the basic AI principles and how they can be applied to IoT data.

Level 2: IoT solutions development and AI integration

Learn how to design and implement IoT systems, including embedded systems and cloud integration and to create intelligent IoT applications by integrationg AI into embedded devices.

Level 3: Deploy and manage large-scale IoT and AIoT systems

Acquire the knowledge and skills to design, deploy, and manage large-scale IoT and AIoT systems. Learn advanced data analytics techniques to extract valuable insights from IoT data and gain expertise in handling big data volumes and applying AI to drive intelligent decision-making.

Level 1. Smart Home Sensor System

Application

Build a smart home sensor system to monitor environmental conditions (temperature, humidity, light).

Implementation

Collect sensor data to display on a remote user interface. Explore basic machine learning models for anomaly detection.

Level 2. Smart Agriculture System

Application

Develop a prototype for a smart agriculture system using IoT and AI.

Implementation

Implement data logging into a cloud platform and design a visual display to access data and insights. Explore image processing techniques for plant disease detection.

Level 3. Smart City Traffic Management System

Application

Design a smart city traffic management system.

Implementation

Implement real-time traffic data collection and analysis. Utilize AI algorithms for traffic prediction and congestion management.

Career Impact

High Demand for Talent

IoT and AIoT professionals are in high demand across industries due to the increasing reliance on intelligent connected devices.

Diverse Career Paths

Participants can pursue a wide range of roles, from IoT engineers and AI specialists to data scientists and system architects

Industry Impact

Participants will be at the forefront of technological innovation, driving advancements in various sectors.

Global Opportunities

The IoT and AIoT landscape is global, offering opportunities to work on
international projects.