Applications of AI and Machine Learning
- Level High School
- Contact Hours 20
- Timeframe Month
This course is designed to take a look at how data can be used for machine learning to create models for Artificial Intelligence (AI). Students will be using TensorFlow with Python to create neural network models.
To view the entire syllabus, click here or click to explore the full course.
MODULES - 4
Students learn the basics of what Artificial Intelligence is and dig into different aspects of AI, including neural networks. Students will be introduced to concepts in this lesson and explore deeper in future lessons.
Students explore machine learning models using TensorFlow to create image recognition models. Along the way, students will explore how different model parameters impact model accuracy.
Students explore machine learning models using TensorFlow to create Natural Language Processing (NLP) models to analyze and generate text.
Students will use what they have learned in the course to create their own AI using a machine-learning model created in TensorFlow.
Explore programs that your students will build throughout this course!
| Standards Framework | Alignment |
|---|---|
| Arkansas Artificial Intelligence | 41% View |
| Indiana Software Development | 39% View |
| Georgia Artificial Intelligence Applications | 32% View |
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About 20 contact hours, sized to run over a month rather than a term.
Student devices must be able to access and run Google Colabs, which requires students to have a Google account (school Google accounts are ok).
