Module 1: Introduction to AI Training and Evaluation – Mastering Rubrics for AI Training & Evaluation

Course Overview: This comprehensive course is designed to equip learners with the skills and knowledge necessary to create, implement, and evaluate rubrics specifically tailored for AI training and evaluation. The course covers fundamental concepts, practical applications, and advanced techniques to ensure AI systems are robust, fair, and effective. By the end of this course, participants will be adept at designing rubrics that enhance the quality and reliability of AI models.

Module 1: Introduction to AI Training and Evaluation

Module Overview:

This module lays the foundation for understanding Artificial Intelligence (AI) training and evaluation. Learners will explore the core principles of AI, the distinctions between machine learning and deep learning, and the critical role of data in AI development. The second half of this module emphasizes the importance of evaluation in AI, including common evaluation metrics and challenges. By the end of this module, participants will have a solid grasp of how AI models are developed, assessed, and improved through structured evaluation.

Key Takeaways:
Understanding AI fundamentals and different AI learning models
Recognizing the role of data in AI development
Learning why evaluation is essential for AI model success
Exploring common evaluation metrics and challenges

Topic 1: Understanding AI Fundamentals

• • Lesson 1: Basics of Artificial Intelligence
  • Lesson 2: Machine Learning vs. Deep Learning
  • Lesson 3: The Role of Data in AI
• Topic 2: The Importance of Evaluation in AI
  • Lesson 4: Why Evaluation Matters
  • Lesson 5: Common Evaluation Metrics
  • Lesson 6: Challenges in AI Evaluation
• Quiz 1: Fundamentals of AI and Evaluation