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Site announcements

🚀 Exciting News! Welcome to the Open Education Portal! 🎉

by Keith Kilroy -

📢 We are thrilled to announce the launch of the Open Education Portal – your gateway to knowledge, growth, and success!

This brand-new learning platform is designed to provide easy access to expert-led courses that empower you with valuable skills, professional knowledge, and real-world insights. Whether you’re here to advance your career, explore new learning opportunities, or develop specialized expertise, you’ve come to the right place!

🌍 What Makes This Portal Special?

✅ Instant Access to Learning: Browse our extensive catalog of courses, enroll, and start learning immediately!
✅ Expert-Led Content: Learn from industry professionals and educators dedicated to your success.
✅ Flexible & Self-Paced: Study at your own pace, anytime, anywhere.
✅ Seamless Enrollment: Register for free, explore courses, and purchase the ones that best fit your learning goals.
✅ Cutting-Edge Technology: Our platform is built for smooth navigation, interactive learning, and an enhanced user experience.

🎯 Get Started Today!

🔹 New users – Register now for free and unlock access to our full course catalog.
🔹 Returning learners – Log in and continue your educational journey!

📍 Click below to access the portal and start learning today!
👉 Access the Portal

Stay tuned for new courses, exciting updates, and exclusive learning opportunities coming soon! 🚀

Welcome to the future of education – your journey starts now! 🎓🔥

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Available courses

Dashboard Getting Started Guide

OPEN IoT Dashboard & AI-ML System: Getting Started Tutorial

This interactive tutorial provides a comprehensive introduction to the OPEN IoT Global Sensor Data Dashboard and integrated AI-ML system. Learn how to access and utilize this powerful platform that connects environmental sensors across school campuses worldwide.

What you'll learn:

  • How to log in and navigate the global map interface
  • Methods for locating and accessing sensor data from specific school zones
  • Techniques for analyzing historical environmental data
  • Working with AI agents to gain insights from sensor readings
  • Creating and customizing your knowledge base for more accurate analysis
  • Advanced features including comparative analysis and smart alerts

This step-by-step guide includes clear instructions, visual examples, and practical tips to help you make the most of the system. Whether you're monitoring garden conditions, analyzing ecosystem data, or conducting environmental research, this tutorial will equip you with the skills needed to effectively use the OPEN IoT Dashboard.

Time requirement: Approximately 45-60 minutes to complete the full tutorial Prerequisite knowledge: None - suitable for beginners Materials needed: Your OPEN user credentials (provided by your OPEN representative)

DEMO Course: LoRaWAN Technology in Agricultural Sensor Networks

This introductory course provides an overview of LoRaWAN and its applications in IoT communication. It covers the fundamentals of long-range and low-power communication using LoRaWAN technology and demonstrates how to integrate various sensors for practical uses, such as environmental monitoring and smart agriculture..

Building the OPEN-RAK IoT Environmental Sensors -Course Zero

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Embark on an exciting journey into the world of environmental sensing with Course Zero: Introduction to IoT and Environmental Sensing. This introductory module is designed to equip students, gardeners, and farmers with the foundational skills needed to construct and program environmental sensors for real-time data collection.

Course Highlights:

  • Hands-On Sensor Assembly: Learn to build and program RAK WisBlock sensors, including the RAK 1906 BME680 environmental sensor, to monitor CO₂ levels, air temperature, humidity, barometric pressure, and air quality.

  • Firmware Coding: Install the Arduino Integrated Development Environment (IDE), manage board and library dependencies, and compile and flash firmware code to your sensors.

  • Real-World Deployment: Deploy your sensors in schoolyards, gardens, or fields to collect and analyze real-time environmental data, enhancing your understanding of atmospheric conditions.

Learning Outcomes:

  • Assemble, code, and deploy industrial-quality sensor modules for environmental monitoring.

  • Understand the process of collecting, measuring, and analyzing real-time atmospheric and air quality data.

  • Apply practical IoT skills in educational or research settings.

Prerequisites:

This course is designed for beginners; no prior experience is required. Participants should have access to a modern computer with a stable internet connection and a web browser.

Companion Hardware:

To fully engage with the course, participants are encouraged to acquire the necessary IoT sensors and devices. These can be purchased from the RAKwireless store.

One Planet Sensor Network (OPSN) Integration:

Enhance your data management capabilities by integrating your sensors with the OPSN. This service includes onboarding your sensors and developing custom data dashboards for visualization and analysis. Please note that the OPSN service is purchased separately through OPEN’s e-commerce site.

Hydroponics: Farming with Water

Sustainable Agriculture Project and Lessons

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Embark on a transformative journey into sustainable farming with OPEN's Sustainable (Regenerative) Agriculture Citizen Science Course. This course is designed to teach you the principles of regenerative agriculture. Participate in OPEN’s 10-country global citizen science sustainable farming initiative. This initiative is backed by ministries of agriculture, university partners, and technology companies, aimed at applying IoT technology and AI-ML in agriculture for data-driven farming and technology skills development for remote smallholder farmers and communities.

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Learning Outcomes:

  • Develop hands-on experience with regenerative farming techniques.
  • Contribute to real-world environmental sustainability research.
  • Understand the integration of IoT technology in agriculture for data-driven farming.

Prerequisites:

No special hardware or software is required. Basic knowledge of biology and interest in sustainable farming is recommended for an enriching learning experience.

FAQs:

  • Do I need my own farm to participate?

    • No, you can start this course with just a small plot of land or even participate in community gardens.

  • What if I'm new to farming?

    • This course is designed to be accessible to beginners and will guide you through the basics of sustainable farming.

Customer Support:

For any questions or support, contact us at info@oneplaneteducation.com.

Join us in shaping the future of sustainable food production through this engaging and impactful course.

Introductory Course Integrating Intelligent Sensors in Apiculture to Maximize Green Outcomes

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Integrating Intelligent Sensors in Apiculture to Maximize Green Outcomes

Discover the intersection of beekeeping, sensor technology, and AI in this innovative course designed to promote sustainable apiculture. Learn how bees support ecosystems and how technology can enhance hive health, crop yields, and environmental sustainability.

What You’ll Learn

  • Understand the fundamentals of beekeeping and the critical role of bees in ecosystems.
  • Explore sensor-equipped beehives and their benefits for monitoring and productivity.
  • Gain practical knowledge on sensor implementation, monitoring, and data evaluation.
  • Apply advanced beekeeping techniques to tackle real-world challenges in agriculture.

Modules Overview

  1. Introduction to Beekeeping and Sensor Technology

    • Basics of bees, hives, and essential equipment.
    • Introduction to sensor-equipped hives and their role in modern apiculture.

  2. Sensor Technology in Beekeeping

    • Functions, implementation strategies, and training for effective monitoring.

  3. Advanced Beekeeping Techniques

    • Bee colonies, queen management, and troubleshooting common challenges.

How You’ll Learn

📋 Quizzes & Projects – Test your knowledge with interactive assessments.
📊 Real-World Applications – Work on practical projects and scenario-based evaluations.
🗣️ Engagement – Participate in discussions, reflective activities, and community projects.

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