Undergraduate Certificate in AI Decision-making Models
-- viewing nowThe Undergraduate Certificate in AI Decision-making Models is a comprehensive course that equips learners with essential skills in artificial intelligence (AI) decision-making models. This course is critical for those looking to advance their careers in AI, data science, or related fields.
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Course Details
• Introduction to Artificial Intelligence & Decision-making Models
• Types of AI: Rule-based vs. Machine Learning
• Fundamentals of Decision Theory
• AI Decision-making Algorithms: Utility Theory & Game Theory
• Machine Learning Techniques in AI Decision-making: Supervised, Unsupervised & Reinforcement Learning
• Decision Trees & Random Forests in AI Decision-making
• Deep Learning & Neural Networks in AI Decision-making
• Natural Language Processing (NLP) in AI Decision-making
• Real-world Applications of AI Decision-making Models
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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