The Internet of Things (IoT) is no longer just a buzzword—it’s a crucial technology shaping industries worldwide. Yet, many educational institutions struggle to integrate IoT into their curriculum effectively. Lack of hands-on experience, limited infrastructure, and insufficient faculty support make it challenging for students to grasp real-world IoT applications.

This is where Favoriot’s IoT Platform comes in. It offers a scalable, cloud-based ecosystem that enables universities to teach, research, and deploy IoT solutions seamlessly.

Challenges in Teaching IoT in Universities

Before exploring how Favoriot provides solutions, let’s look at the common obstacles faced by educational institutions:

1. Limited Access to Hands-on Learning

Many universities rely on theoretical teaching without providing students access to live IoT environments where they can experiment with data collection, analytics, and device integration.

2. High Costs of IoT Deployment

Deploying smart campus IoT projects can be expensive, requiring specialized infrastructure and technical expertise that many institutions lack.

3. Lack of Research Support for Lecturers

Faculty members who want to conduct IoT and AI research often struggle with data collection, storage, and analysis, limiting their ability to innovate.

4. Difficulty Embedding IoT into Curricula

Many institutions do not have structured IoT certification programs or standardized materials to help lecturers teach IoT effectively.

5. Gaps Between Academic Learning and Industry Requirements

Students graduate with theoretical knowledge but lack industry-recognized IoT certifications that enhance their employability.

How Favoriot’s IoT Ecosystem Solves These Challenges

Favoriot provides a comprehensive, cloud-based IoT platform that transforms how universities teach and research IoT. Here’s how:

1. Hands-on IoT Labs for Students

• Connect IoT devices and sensors to a real-time cloud platform.
• Collect, visualize, and analyze IoT data to gain practical experience.
• Learn API integrations and develop IoT applications.

2. Smart Campus IoT Deployments

Favoriot enables universities to deploy IoT-based smart campus solutions, including:

• Energy monitoring systems to track and optimize power usage.
• Smart security solutions with IoT-powered surveillance.
• Environmental monitoring for sustainability initiatives.

3. Research Support for Lecturers

• Faculty members can use Favoriot’s cloud platform to store and analyze IoT data.
• Research AI-driven IoT applications for smart cities, healthcare, and automation.

4. Simplifying IoT Education for Faculty Members

• Favoriot Academy provides training materials and structured IoT courses.
• Universities can embed Favoriot-backed IoT certification programs into their curriculum.

5. Industry-Recognized IoT Certification for Students

• Students graduate with real-world IoT project experience.
• Gain certifications co-branded with universities and Favoriot, boosting career opportunities.

Why Favoriot is the Ideal IoT Education Partner

✅ Real-world IoT Learning – Hands-on training using a cloud-based IoT ecosystem.
✅ Scalable Smart Campus Solutions – Easy deployment for university-wide IoT applications.
✅ Advanced Research Capabilities – Support for AI and IoT research initiatives.
✅ Structured Certification Programs – IoT training aligned with industry needs.
✅ Bridging Academia & Industry – Making students job-ready with practical IoT experience.

With Favoriot’s IoT Platform, universities can empower their students, support faculty research, and bridge the gap between education and industry.

For more details, visit FAVORIOT.

Favoriot Academy is a training centre under FAVORIOT dedicated to training IoT professionals. It provides structured courses and hands-on training on the FAVORIOT IoT platform, equipping individuals and organizations with the necessary skills to develop and deploy IoT solutions.

Key Features of Favoriot Academy:

• IoT Training Programs – Covers beginner to advanced levels, including IoT fundamentals, sensor integration, data analytics, and the FAVORIOT IoT Platform.
• Hands-on Workshops – Practical, project-based learning to help participants gain real-world IoT experience.
• IoT Certification by FAVORIOT – Offers industry-recognized certifications for IoT practitioners.
• University & Industry Collaboration – Works with academic institutions and businesses to support IoT education and research.
• Custom IoT Training – Tailored training sessions for enterprises, universities, and professionals based on specific IoT needs.

It aims to bridge the IoT knowledge gap, preparing students, engineers, and businesses to harness the power of IoT for smart solutions.

For more details, visit: FAVORIOT IoT Training.

Let’s target for the year 2024 with a new skill or up-skill your IoT knowledge with AI.

Favoriot will be offering this training on May 6–9, 2024. Mark this in your calendar and register for an early bird price!

Unveiling the Mastering AIoT Course: A Synergy of AI & IoT

Today, we are seeing the fusion of Artificial Intelligence (AI) and the Internet of Things (IoT), giving rise to the next wave of the technological revolution — the Artificial Intelligence of Things (AIoT).

Recognizing this, we have meticulously designed a 4-day intensive course, “ Mastering AIoT — From Theory to Practice, “to provide a robust understanding of AIoT integration.

Course Objectives: Bridging Theory and Practice

The course is strategically developed to meet the following objectives:

• Integrating AI with IoT: We start by familiarizing participants with the convergence of AI and IoT, a critical skill set for tomorrow’s innovators.
• Exploring the IoT Ecosystem: Participants delve into the architecture and components of IoT, gaining comprehensive insights into its functioning.
• Mastering Edge Computing with Jetson Nano: Focusing on the Jetson Nano hardware (or similar platforms) equips learners with hands-on expertise in IoT device management and data processing.
• Interfacing and Data Transmission: We train you to interface sensors with Jetson Nano, ensuring seamless data flow to platforms like Favoriot.
• Unlocking IoT Data Analytics: Specialized techniques are taught to decipher vast amounts of IoT data, turning information into actionable insights.
• Empowering Creativity: The course culminates with designing and constructing intelligent IoT applications using AI, Python, and the Favoriot IoT Platform.

Target Participants: Who Will Benefit?

This course is tailored for:

• Aspiring IoT Developers: Those looking to jumpstart their career in IoT development.
• Data Scientists and Analysts: Professionals aiming to specialize in IoT data analytics.
• AI Enthusiasts: Individuals keen on exploring the application of AI in the IoT space.
• Product Managers: Decision-makers overseeing IoT product development.
• Academics and Researchers: Those involved in AIoT research and education.
• Entrepreneurs: Visionaries seeking to innovate with AIoT solutions.

Learning Outcomes: What You’ll Achieve

By the end of this course, participants will:

1. Comprehend AI and IoT integration fundamentals.
2. Develop IoT applications utilizing Jetson Nano, Python, and the Favoriot IoT Platform.
3. Interface sensors with hardware like Jetson Nano for IoT data collection.
4. Implement IoT-specific data analytics to derive significant insights.
5. Apply machine learning algorithms for intelligent data interpretation.

Training Modules: Your Roadmap to AIoT Mastery

Module 1: The Foundations of IoT and AI

We begin with the basics, exploring IoT’s architecture and ecosystem and an introduction to AI, covering various learning types and their IoT applications.

Module 2: Data Acquisition on the Favoriot Platform

Diving into data acquisition and analysis for IoT, we provide insights into the Favoriot platform’s structure and data handling capabilities.

Module 3: AI Hardware Essentials

A comprehensive overview of Jetson Nano’s hardware, setting the stage for IoT development with practical Linux command training.

Module 4: Machine Learning Foundations

Exploring data analytics and machine learning types, introducing tools like TensorFlow and PyTorch, and hands-on model building.

Module 5: Delving into Neural Networks

An in-depth look at deep learning, including CNNs and RNNs, and practical exercises in building neural network models.

Module 6: IoT Integration Techniques

Connecting Jetson Nano to IoT devices and implementing edge computing for real-time data processing.

Module 7: IoT Data Analysis with Machine Learning

Preparing and analyzing IoT data with machine learning, visualizing results for unambiguous interpretation.

Module 8: AI Model Deployment

Finalizing the course with AI model deployment on hardware and optimization for peak performance.

Hardware Utilized in the Course

Participants will get hands-on experience with cutting-edge technology, including the Hibiscus Sense, Computer Jetson Nano 4G Dev Kits, and WiFi dongles, ensuring a practical learning environment.

Conclusion: Your Path to AIoT Expertise

This 4-day course is more than just a training program — it’s a transformative experience that will equip you with the knowledge and skills to innovate in the AIoT domain.

We invite all interested individuals to embark on this journey to learn and master the intricacies of AIoT.

For those ready to step into the future of intelligent technology and harness the full potential of AIoT, “ Mastering AIoT — From Theory to Practice” is your pivotal training ground. Join us and redefine what’s possible in the world of smart technology.

Contact Favoriot for the IoT Training.