At the fundamental awareness level, individuals have a basic understanding of AI concepts and data center infrastructure. They are aware of the role of AI in data centers and have a rudimentary knowledge of data analysis. However, their skills are mostly theoretical and they may not be able to apply them in practical situations.

Novices can use AI tools for data center management and understand data center energy consumption patterns. They have knowledge of basic machine learning algorithms and can perform simple data analysis tasks. They are still learning and their skills are largely guided by instructions.

Individuals at the intermediate level can design and implement AI-based solutions for data center management. They understand advanced machine learning algorithms and can analyze complex data sets. They also have knowledge of predictive modeling and can apply their skills with some degree of independence.

Advanced individuals can optimize AI-based solutions for data center management. They understand deep learning algorithms and can perform advanced data analysis tasks. They have knowledge of reinforcement learning and can handle complex situations using their analytical and problem-solving skills.

Experts can develop innovative AI-based solutions for data center management. They have a deep understanding of cutting-edge AI technologies and can handle large-scale data analysis projects. They have expertise in advanced AI techniques like neural networks and genetic algorithms, and can provide strategic direction and leadership in their field.