AIoT for Climate Change
About This Course
AIoT for Climate Change course explores how Artificial Intelligence (AI) and the Internet of Things (IoT) can be applied to tackle climate change challenges. Learners will gain both theoretical knowledge and hands-on experience with sensors, actuators, cloud data analysis, and large language models, culminating in capstone projects focused on sustainable energy and efficiency solutions.
Course Objective
The course aims to:
• Explain climate change fundamentals and sources of greenhouse gases (GHGs).
• Introduce IoT solutions for monitoring and reducing emissions.
• Train learners in sensor hardware, actuators, and cloud-based time series data analysis.
• Demonstrate AI applications such as large language models for data refinement and decision support.
• Apply knowledge in real-world projects like solar energy generation, indoor gardening, and energy efficiency.
Why Enroll in this Course
- Interdisciplinary learning: Combines climate science, IoT engineering, and AI.
- Hands-on labs: Work directly with sensors, actuators, and cloud platforms.
- Capstone project: Apply skills to practical sustainability challenges.
- Future-ready skills: Prepare for careers in smart energy, sustainable tech, and climate innovation.
Who Can Enroll in this course
Students in engineering, computer science, or environmental studies.
Professionals in IT, energy, or sustainability sectors.
Researchers exploring smart systems for climate solutions.
Enthusiasts passionate about technology-driven environmental impact.
How Will This Course Benefit You
- Practical expertise: Learn to deploy IoT sensors and analyze climate data.
- Tool mastery: Gain experience with cloud platforms, time series analysis, and AI models.
- Sustainability impact: Contribute to reducing emissions and improving energy efficiency.
- Career advancement: Strengthen your profile for roles in green technology and smart infrastructure.
- Capstone application: Showcase your skills through a solar energy generation project.
Table of Content
Introduction to climate change
- Global warming
- Greenhouse Effect
- Greenhouse Gas Emissions and Concentrations
- Reducing Emissions
Introduction to IoT
- What is IoT?
- Why IoT Systems?
- IoT systems and their components
- Components of IoT Systems
- IoT architectures
- Industrial automation protocols
- The cloud-edge interfaces
- An overview of cloud platforms
Introduction to Time series and data analytics
- Time series Data
- Time Series Plots and Their Importance
- Basic Time series Operations
- Components of Time Series Data
- Analyzing Time series Data
- Time series Forecasting
- Understanding ARIMA Forecasting Model