Color Belts Meaning in Degreed AI Training

The color belt system in Degreed AI training signifies different levels of proficiency and skill development in artificial intelligence, similar to martial arts. Here’s a breakdown of the meaning behind each color belt:

Color Belt Progression

1. White Belt: The Beginner

Meaning: Represents curiosity and the start of the AI journey.
Key Skills: Basic AI concepts, introduction to programming languages (e.g., Python, R), and familiarity with AI tools.
Learning Objectives: Build foundational knowledge and comfort with basic coding.

2. Yellow Belt: The Explorer

Meaning: Indicates an introductory understanding of applied AI concepts.
Key Skills: Application of basic machine learning models and understanding supervised vs. unsupervised learning.
Learning Objectives: Begin small projects and gain hands-on experience.

3. Green Belt: The Practitioner

Meaning: Awarded to those who can effectively implement AI solutions.
Key Skills: Designing end-to-end AI solutions and working with complex datasets.
Learning Objectives: Develop intermediate-level projects and learn about AI ethics.

4. Blue Belt: The Specialist

Meaning: Signifies advanced knowledge and specialization in AI domains.
Key Skills: Advanced machine learning models and deep learning techniques.
Learning Objectives: Deliver industry-ready solutions and lead projects.

5. Brown Belt: The Innovator

Meaning: Recognizes leaders in AI innovation.
Key Skills: Building scalable AI systems and exploring cutting-edge research.
Learning Objectives: Design innovative solutions to complex problems.

6. Black Belt: The Master

Meaning: Represents mastery and authority in AI.
Key Skills: Thought leadership and strategic implementation of AI across organizations.
Learning Objectives: Publish research or patents and drive organizational change through AI initiatives.

Lian Xin

Co-authored by:
Lian Xin
Staff Writer at FactsCircle

Articles by Lian Xin