AI Scholars: A Project-Based Artificial Intelligence Capstone
Inspirit AI offers an interdisciplinary, project-based artificial intelligence education taught by
Stanford, MIT, and top university graduates.
In this course, we will explore the foundations of machine learning and explore different applications of machine learning models. In the first half of the course, students learn AI’s core technologies, including applications, foundational concepts, and programming tools, through live lectures and coding labs. Students will learn about different types of machine learning models and apply those models to real data sets. In the second half of the course, students will complete an instructor-led group project applying AI to the discipline of their choice (e.g., music, healthcare, astrophysics, finance, etc.), utilizing the programming skills they developed in the first half.
Program Details
- Grades 8th - 12th
- Dates: June 10th - June 21st (Closed June 19th)
- Times: 9:00 am - 12:15 pm (Lunch 12:15 pm - 1:00 pm, Included)
- Cost: $1,650.00 per student
- Location: PTS Classroom TBA
- Minimum: 20 Students
Registration closes May 15th.
What do self-driving cars, Alexa, iPhone's face recognition technology, and ChatGPT have in common? Modern advances in artificial intelligence drive them. Whether you’re interested in law, healthcare, art, or economics, AI is poised to transform every discipline and industry in the future. AI is already all around us today, and by the end of the program, students will understand the underlying concepts and motivations behind technology, such as computer vision, natural language processing, and neural networks.
In this course, we will explore the foundations of machine learning and explore different applications of machine learning models. In the first half of the course, students learn AI’s core technologies, including applications, foundational concepts, and programming tools, through live lectures and coding labs. Students will learn about different types of machine learning models and apply those models to real data sets. In the second half of the course, students will complete an instructor-led group project applying AI to the discipline of their choice (e.g., music, healthcare, astrophysics, finance, etc.), utilizing the programming skills they developed in the first half.
Course Structure
Machine Learning Talks
Learn about machine learning algorithms and techniques in a uniquely interactive, engaging format before you apply that knowledge in live coding labs.
Hands-On Python Coding
Develop valuable Python, machine learning, and artificial intelligence skills in our hands-on coding labs, using cutting-edge research to solve real-world problems like breast cancer diagnosis, building self-driving cars, and more.
Project-Based Learning
In our AI for Social Good project, students can apply their newly acquired talents in a collaborative, challenging environment, applying AI to a domain they’re passionate about (e.g., music, healthcare, astrophysics, finance, etc.). Students can use these projects in their résumés and college applications.
Main Entrance: 8001 SW 184th Street, Miami, FL 33157
Mailing Address: 7900 SW 176th Street, Miami, FL 33157
Mailing Address: 7900 SW 176th Street, Miami, FL 33157
| Main: | 305.251.2230 |
| Admission: | 305.969.4208 |
