Master AI and IoT Applications in Solar Energy in 4 weeks through hands-on, project-based online training with DSTC.
Environmental Science & Sustainability
Module-by-module breakdown of AI and IoT Applications in Solar Energy, from foundations to a certified capstone project.
Outline
Explore the role of AI and IoT in renewable energy systems • Identify key solar components and energy flow patterns • Configure IoT devices and communication protocols (MQTT, LoRa)
Outline
Implement real‑time monitoring dashboards for solar performance • Build predictive‑maintenance models using machine‑learning algorithms • Create a hands‑on IoT‑based solar monitoring prototype with Arduino/Raspberry Pi
Outline
Design AI‑driven smart energy management for micro‑grids • Integrate solar assets with demand‑response and grid‑interaction platforms • Explore future trends: virtual power plants, blockchain, and AI‑enabled energy trading
e-Certificate and e-Marksheet issued on successful completion.