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Applied Data Science & Artificial Intelligence with Python

One-Week Course | Ages 12-18

Applied Data Science & Artificial Intelligence with Python

One-Week Course | Ages 12-18

Build Neural Nets to Play Games and Do Your Homework

Artifical Intelligence and automation are expected to replace nearly half of all jobs that are currently done by 16-24 year olds. Get ahead of this trend by learning how the machines that will do those jobs work! This course builds on students existing knowledge of the basics of Python and machine learning. Students will build a digital machine that can do a book report and have the opportunity to build neural nets that play games and translate text.

At the beginning of the week, students will explore how artificial intelligence applies to data, tools, and services then learn how they can apply AI to their own projects. By the end of the week, students will dive in the theory and math of machine learning, and solve data problems using those skills and strategies.

Register today and receive up to 12 months of Adobe Creative Cloud ($600 Value).

Staff Ratio: 12:1
Hardware + Software: Python, Javascript + Tensorflow

Ages: 12-18
Hours: 8:30AM – 5:00PM

Staff Ratio: 12:1
Hardware + Software: Python, Javascript + Tensorflow

Ages: 12-18
Hours: 8:30AM – 5:00PM

Course Information

Get ready for a fun and impactful educational experience through project-based learning

What Students Learn

  • Machine Learning and Neural Network fundamentals
  • The strengths and limitations of making AI predict outcomes
  • How image recognition and data science can be applied to solve problems

What Students Create

  • An Image classifier on a category of their choice
  • An AI to let you play games with webcam video
  • Visualizations and insights from your chosen data

About Artificial Intelligence + Coding Courses

Artificial Intelligence courses at Digital Media Academy are overseen by Dr. Yuval Shahar, M.D., Ph.D, an AI pioneer and leader in the field of artificial intelligence in medicine. Dr. Shahar is a computer scientist and physician, and a researcher in the multidisciplinary field of artificial intelligence in medicine, focusing on medical decision-support systems for physicians and for patients, and on automated knowledge discovery from time-oriented clinical data. Dr. Shahar received his Ph.D. from Stanford University, in 1994, where he continued to work as a Senior Research Scientist and Assistant Professor of Medicine (Biomedical Informatics) and Computer Science until 2000. In 2000, Dr. Shahar founded and began leading the Medical Informatics Research Center at Ben-Gurion University.

Computer programming code runs your devices and the world. In the AI and Machine Learning Academy, students will take a deep dive into the complex algorithms that are making computers smarter than ever. Use neural nets to finally beat that game you’ve never been able to or improve projects using computer vision to find patterns. No programming experience is required, but a strong understanding of algebra and comfort with mathematics is highly recommended. Explore more coding and artificial intelligence courses.

Learn More About This Course

Learn more about Applied Data Science & Artificial Intelligence with Python by taking an in-depth look at the syllabus for this course.

Our project-based approach to learning sparks curiosity, builds confidence, and fosters teamwork as students seek solutions to real-world problems. Do you have additional questions about selecting the perfect course? Contact our friendly Academic Advisors.

Course Advisors

Yuval Shahar, M.D., Ph.D.

Information Systems Engineering Professor

Yuval Shahar is a professor and previous chair of BGU’s Software and Information Systems Engineering department. He holds a B.Sc. and an M.D. degree from the Hebrew University, an M.Sc. in computer science from Yale University, and a Ph.D. in Medical Information Sciences from Stanford University. After a decade at Stanford as a researcher and full-time faculty member in Computer Science and Medicine, at Stanford’s BioMedical Informatics program, he has joined BGU in 2000 to found and head its Medical Informatics Research Center.

Yuval is an accomplished leader who brings a wealth of knowledge and experience to Digital Media Academy.

Ken Alton

Senior Software Engineer at Google Research

From 2000 to 2002, Ken worked at the IBM Toronto Software Lab. He is now currently a Senior Software Engineer at Google Research. Alton received an NSERC postgraduate scholarship to study computer science at the University of British Columbia where he taught as a sessional instructor and did research in reinforcement learning, numerical analysis, and optimal control, obtaining his PhD in 2010. He worked also as a software engineer in advertising and retail logistics at the Google headquarters until 2016, when he joined the Operations Research team in Google France.

Register for this course

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Frequently Asked Questions

Will I need a mobile phone?

A relatively new Android or iOS phone is HIGHLY recommended.

Camp Overview + Schedule

Take a look at your camp schedule, learn more about tuition and explore add-ons.

08:30am
Check-in and drop off
09:00am
Hands-on STEM Instruction
10:30am
Morning Break
11:00am
Continued Instruction + Creation
12:00pm
Lunch Break
1:00pm
Back to the Classroom
2:30pm
Afternoon Break
3:00pm
Continued Classroom Time
4:30pm
Pick-up Begins
5:00pm
Pick-up Ends
5:00pm
Extended Day Begins

Tuition Includes

  Personalized Feedback + Student Achievement Report

  Diploma or Certificate of Completion

  Full Adobe Creative Cloud license for up to 12 months

  Unlimited Google Apps and Email Account

  Low staff to student ratios

  Take home select technology hardware

  Alumni Club Benefits

Friday Showcase

At the end of each week, attendees can invite their family and friends to join us for a showcase celebration to share their final projects. Learn more about the fun and exciting activities your child experienced during the week and have an opportunity to meet your child’s instructor. Presentations vary by course topic and instructors will highlight some of the important concepts covered during the week and possible next steps to continue your child’s learning. Arrive early as showcase begins at 3:00 pm and is typically finished by 4:00 pm.

 

 

Camp Upgrades

Get the most out of your summer with DMA when you add any or all of the following:

Lunch Plan

Get lunch on campus so you don’t have to pack your own. Lunch Plans are $95/week.

Overnight Housing

Stay in the dorms and eat on-campus, Sunday through Friday. Overnight Housing starts at $695/week.

Weekend Stay

Add Weekend Stay and enjoy extra activities and day trips around the area. Weekend Stay starts at $380/weekend.

Extended Day

Our flexible Extended Day option allows families to pick-up students as late as 6:00 PM from Monday to Thursday.

“When my son joined the Intro to AI & Machine Learning program, it was all new to him but he left knowing the program and software very well. He was excited to share and explain all he learned which was very rare to see coming from him. I’m thrilled with the outcome.”

Magaly R.

Intro to Artificial Intelligence & Machine Learning with Python

Why Digital Media Academy?

You can count on us to deliver on all the things that truly matter. We pinky swear.

Passionate Staff

Educators, artists, and talented industry professionals with a passion for STEAM education.

A Balanced Experience

Our students enjoy a balanced camp day with both in-class lessons and outdoor activities.

Project-Based Learning

Our curriculum sparks curiosity, builds confidence, while fostering teamwork and collaboration.

Safety Matters

Our staff is First-Aid + CPR certified and have completed national background checks.