- This course delves into how AI is shaping the future of electrical engineering, from circuit design to energy distribution. Aimed at electrical engineers, control systems professionals, and power systems engineers, it offers practical AI applications that optimize electrical systems for the future.
- Level: Intermediate
- Prerequisites: Background in electrical engineering or related fields.
- Assessments: Micro Assessment weekly, Full Assessment in the final week.
Week 1 - Intelligent Circuit Design with AI
Learning OutcomeLearn how AI optimizes circuit design and fault detection.
1.1 AI-powered circuit design and simulation.1.2 Machine learning for fault detection in electrical circuits.
1.3 AI for optimizing power flow and efficiency in circuits.
Practical Component
Design and simulate an electrical circuit using AI tools.
Week 2 - AI in Power Systems & Energy Distribution
Learning OutcomeExplore how AI enhances power systems and energy distribution.
2.1 Machine learning for power load forecasting and grid management.2.2 AI for real-time power system monitoring and optimization.
2.3 AI-driven fault detection and recovery in power grids.
Practical Component
Develop an AI-powered solution for optimizing power grid performance.
Week 3 - AI for Electrical System Automation
Learning OutcomeUnderstand how AI enables automation in electrical systems.
3.1 AI for predictive maintenance in electrical equipment.3.2 Machine learning for optimizing electrical system performance.
3.3 AI-based fault diagnosis and recovery strategies.
Practical Component
Build an AI model for automating electrical system diagnostics.
Week 4 - Smart Energy Solutions with AI
Learning OutcomeLearn how AI contributes to smarter energy generation, storage, and distribution.
4.1 AI in renewable energy optimization.4.2 Machine learning for energy storage and battery optimization.
4.3 AI-driven smart grid solutions.
Practical Component
Implement an AI model for optimizing energy storage systems.
Week 5 - Powering the Future: AI for Electric Vehicles
Learning OutcomeExplore AI applications in electric vehicle (EV) technology.
5.1 AI for optimizing battery performance in EVs.5.2 Machine learning for autonomous vehicle navigation and power management.
5.3 AI in charging station management and energy consumption.
Practical Component
Design an AI-powered model for electric vehicle energy optimization.
Week 6 - Capstone Project and Assessment
Learning OutcomeDevelop a comprehensive AI-based electrical engineering solution.
6.1 Create an AI-powered solution for a real-world electrical engineering challenge.6.2 Peer assessment and feedback.
6.3 Final project presentation and evaluation.
Practical Component
Present an AI-driven solution for an electrical engineering challenge.