AI for Energy & Predictive Maintenance
This intensive 2 day training program is designed to equip participants with the skills to apply artificial intelligence in energy and industrial environments. The program focuses on building AI solutions for predictive maintenance, anomaly detection, and operational optimization. Participants will gain hands-on experience in analyzing real-world datasets and developing AI models aligned with energy sector and industrial use cases.
Program Objectives
- Understand AI applications in energy and industrial systems
- Build predictive maintenance models
- Detect anomalies in operational data
- Apply time-series analysis techniques
- Optimize system performance using AI
- Develop AI solutions for real-world industrial use cases
Program Prerequisites
- Strong knowledge of Python programming
- Familiarity with machine learning concepts
- Basic understanding of data analysis
- Experience with time-series data is preferred
Targeted Audience
- AI Engineer
- Data Scientist
- Machine Learning Engineer
- Industrial AI Specialist
- Energy Sector Professionals
Program Level
- Intermediate to Advanced
For Registration:
