- LCVS
- Artificial Intelligence Academy
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FAQs
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What grades can participate in the AI Academy?
Students can begin the coursework as early as 8th grade and will work to complete it during high school.
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Do students need to be full-time LCVS students?
No. Students may enroll with LCVS as a part time student to take these courses.
However, any part time students who register to take these courses are agreeing to come in for any in person certification tests associated with their registered course(s).
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Does my child need to be a resident of Leon County?
No, students must be a resident of Florida to enroll with Leon County Virtual School.
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Is there an application process?
Yes, we are a school of choice, and you must apply and be accepted to attend. Click HERE for more information on becoming a student.
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Can full-time students participate in sports at their home zone school?
Yes, students can play sports at their home zone school. You would need to reach out to the athletic director at that school for more information.
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Can students participate in dual enrollment while enrolled in the AI Academy?
Yes, students will have the option to dual enroll and earn college credits while enrolled in the Academy.
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Will students be required to report to LCVS for in-person days/events?
Yes, there will be some in-person days that students in the Academy will be required to report for.
Meet the Teacher
Phone:
Email:
Degrees and Certifications:
Ashley Clyatt
Artifical Intelligence Academy Teacher
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About This Program
Embark on a dynamic, future-focused learning journey that introduces you to the fundamentals of Artificial Intelligence. In this comprehensive virtual program, you'll dive into key concepts such as machine learning, perception, human-AI interaction, and the ethical and societal implications of AI technologies. Gain hands-on experience with specialized programming tools and techniques while developing the skills to design, build, and evaluate intelligent systems. Whether you're preparing for college, a tech career, or simply curious about the future, this course empowers you to think critically and creatively about the role of AI in our world.
Progression
- Year 1
- Artificial Intelligence in the World (Semester Course)
- Artificial Intelligence in the World is an introductory course that guides students through the concepts, tools, and building blocks of artificial intelligence. This course provides students with a broad overview of how AI is used in decision-making and problem-solving worldwide. Students will learn how ethics impacts AI and will also have the opportunity to explore the various parts of AI with hands-on activities through the use of chatbots and other exciting interactives.
- Applications of Artificial Intelligence (Semester Course)
- Building on the foundational knowledge acquired in Artificial Intelligence in the World, you'll embark on a thrilling journey through the world of artificial intelligence. From machine learning to robotics, you'll gain hands-on experience developing AI systems, delve into the complexities of natural language processing and computer vision, and consider the ethical and societal implications of this rapidly evolving technology. Get ready to be amazed and inspired by the limitless possibilities of AI as you immerse yourself in this cutting-edge field.
- Artificial Intelligence in the World (Semester Course)
- Year 2
- Procedural Programming (Honors)
- Do you want to learn higher-level coding skills? Procedural Programming (ProP) teaches advanced programming concepts using the computer language Python. You will learn techniques and processes associated with computer programming and software development.
- Procedural Programming (Honors)
- Year 3
- Foundations of Machine Learning
- In this course, you will deepen your understanding of machine learning. You will examine how and why the concept of machine learning was developed. Excel and Python will be used to analyze data and training models. Finally, you will discover what the future of machine learning looks like and the importance of the development cycle.
- Foundations of Machine Learning
- Year 1
