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.
The focus of IoT subjects in academic institutions, particularly universities, is at a pivotal juncture.
While it’s beneficial for students to delve into IoT projects, utilizing affordable sensors and microcontrollers to grasp the basics of IoT hardware design and development, this approach only scratches the surface of what the industry demands.
As educational institutions aim to prepare students for the realities of the professional world, the emphasis should shift towards data analytics rather than constructing IoT hardware.
Bridging the Gap Between Academic Projects and Industry Standards
The hands-on experience gained from building IoT projects with cost-effective tools like Arduino or Raspberry Pi is invaluable for understanding the fundamental concepts of IoT.
However, this experience is markedly different from the challenges faced in the commercial sector.
Commercially viable and robust IoT hardware development transcends the capabilities of the affordable sensors used in academic projects.
Prototypes crafted in university labs often need more durability and accuracy when deployed in real-world conditions, frequently yielding unreliable data.
The Essential Role of Data Analytics
In the professional realm, commercial and industrial-grade IoT hardware is the norm.
These high-quality devices are designed to endure rigorous conditions and provide precise, consistent data.
Robust and reliable hardware provides a trusted and continuous data stream.
The crux of IoT’s value in the industry lies not in the hardware itself but in the insights derived from the data it collects.
This is where the focus on data analytics becomes crucial.
Data analytics in the context of IoT extends beyond simple visualization to encompass predictive modeling and decision-making.
It requires a robust skill set in coding, artificial intelligence (AI), and machine learning (ML). The data harvested from diverse IoT devices across various scenarios present unique challenges in interpretation and application.
The ability to transform raw data into compelling narratives and actionable insights — a skill known as data storytelling — is increasingly recognized as pivotal in unlocking the full potential of IoT implementations.
Cultivating Future-Ready Skills
Universities have the opportunity to equip students with the skills necessary to thrive in a data-driven IoT landscape.
This entails a curriculum emphasizing data analysis, AI, and ML, in conjunction with an understanding of leveraging IoT platforms such as the Favoriot IoT platform for data collection, visualization, and analysis.
Ensuring students are adept in these areas prepares them to make meaningful contributions to their organizations from the outset, enabling them to handle industry-grade hardware and, more importantly, to extract and interpret the valuable data it provides.
Conclusion
The shift towards a data-centric approach in IoT education is not just a response to industry trends; it’s a forward-looking strategy to empower the next generation of technologists.
By focusing on data analytics, universities can bridge the gap between academic exercises and the real-world demands of IoT, fostering a workforce capable of leveraging IoT technologies to their fullest potential.
As we continue to navigate the complexities of digital transformation, the ability to understand and act upon data insights will be paramount, underscoring the need for an educational paradigm that prioritizes data analytics in the realm of IoT.
“With Favoriot, your vision doesn’t have to fit the mold — the platform bends to your innovation, making custom IoT solutions not just possible, but seamless.”
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.
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:
Comprehend AI and IoT integration fundamentals.
Develop IoT applications utilizing Jetson Nano, Python, and the Favoriot IoT Platform.
Interface sensors with hardware like Jetson Nano for IoT data collection.
Implement IoT-specific data analytics to derive significant insights.
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.
