APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Duration

10 Months

Prerequisites

If students are taking this course as a part of the Artificial Intelligence Foundations Program of study, Artificial Intelligence in the World should be taken first.

Requirements

None

Course Summary

Advanced Artificial Intelligence expands on foundational knowledge, covering machine learning, robotics, natural language processing, and computer vision. Students develop AI systems and explore ethical implications, gaining hands-on experience for future innovations.

MAJOR TOPICS AND CONCEPTS

  • Advancements in AI
  • How AI systems are used
  • Relationship between AI, humans, and the environment
  • Training data
  • Collecting and analyzing data
  • Databases
  • Relational databases
  • Challenges and solutions in AI
  • Software development life cycle
  • Decision-making and automation in AI
  • Data patterns and processing
  • Supervised and unsupervised learning
  • Speech transcription
  • Visual object recognition
  • Training machine learning (ML) models
  • Embedded systems
  • Career and technical student organizations

How APPLICATIONS OF ARTIFICIAL INTELLIGENCE supports student success

In APPLICATIONS OF ARTIFICIAL INTELLIGENCE, students build subject knowledge through structured online lessons, guided practice, and regular feedback from qualified teachers. The course supports flexible study while maintaining clear academic expectations and steady progress.

Students can revisit learning materials, complete assignments at a manageable pace, and use teacher guidance to strengthen understanding. Families can follow progress while learners develop organization, independent study habits, and confidence.

  • Clear learning goals connect each lesson to the wider course.
  • Activities and assignments help students apply important concepts.
  • Assessments and teacher feedback identify strengths and next steps.
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