AI Applications and Methods
Explore real-world AI applications, learn Deep Learning, and build AI projects using PyTorch, scikit-learn, and NumPy with hands-on, practical experiences.
Target Learner
Grade 10-12
Contact Hours:
65
Prerequisites
1 course
Learning targets
In this course students will:
Explore the range of AI applications both in development and in use today
Understand the broader societal impact of AI including its ethical implications
Understand how several AI algorithms are built
Build and train AI models using PyTorch, Scikit-learn and NumPy
Sample project
An Alternative Representation
Course outline
What you'll learn in this course
Unit
The State of Artificial Intelligence Today
Unit
Data: Food for Artificial Intelligence
Unit
Fantastic World of Neural Networks
Unit
Natural Language Processing
Unit
Computer Vision
Unit
AI in Practice
Meet your new instructor
Jagriti Agrawal
VP of AI @ Kira
Co-founder and VP of AI at Kira, Jagriti previously worked at NASA’s Jet Propulsion Laboratory in the Artificial Intelligence Group where she developed automation software for the Mars 2020 rover mission. While at NASA, she also authored over a dozen research papers published in various AI conferences and journals.
FAQ
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