FXUA Computer Science: Essentials of Artificial Intelligence and Machine Learning (EAI)
Issued by
New Lines Institute
Earners of this badge have experienced artificial intelligence (AI) and machine learning (ML) world science by designing applications using decision-making algorithms. Students have knowledge of generative and discriminative learning, parametric and non-parametric learning, neural networks, k-means clustering, adaptive control, and reinforcement learning methods. Students have also learned robotic basic programming application, mobility, localization, and interactive settings.
- Type Validation
- Level Foundational
- Time Months
Skills
Earning Criteria
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Complete COMP 376: Artificial Intelligence Principles. Course requirements and evaluation criteria consist of Assignments, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 377: Machine Learning Principles. Course requirements and evaluation criteria consist of Quizzes, Assignments, Midterm Exam, and Final Exam.
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Complete COMP 379: Human-AI Interaction. Course requirements and evaluation criteria consist of Projects, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 414: Big Data Analytics. Course requirements and evaluation criteria consist of Assignments, Quizzes, Midterm Exam, and Final Exam.
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Complete COMP 480: AWS Test Preparation for Cloud Practitioner Certificate. Course requirements and evaluation criteria consist of Assignments, Quizzes, Midterm Exam, and Final Exam.