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Intro to Artificial Intelligence & Machine Learning with Python

One-Week Course | Ages 12-18

Intro to Artificial Intelligence & Machine Learning with Python

One-Week Course| Ages 12-18

Learn Python and Build Neural Nets

Artificial 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. Computers are getting smarter every day, and it’s all thanks to the great strides in Machine Learning algorithms. Using systems like neural nets and special algorithms, students can teach computers to do things like recognize faces and images, play games, or find complex patterns.

In this course, we’ll take a closer look at machine learning tools, and use them to do amazing things. Teach a computer to play your favorite game, create interactive simulations, or train it to find patterns a human could not see. Using programming and mastery of algorithms, find uses for computers that you never thought possible!

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

Staff Ratio: 12:1
Hardware + Software: Laptop 1:1, Python + TensorFlow

Ages: Students 12-18
Hours: 8:30AM – 5:00PM

Staff Ratio: 12:1
Hardware + Software: Laptop 1:1, Python + TensorFlow

Ages: Students 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

  • The basics of AI and Machine Learning
  • How to use machine learning to find patterns or solve problems
  • To train a computer to play a game
  • To find useful information in images using computer vision
  • How deep learning can be used to solve many challenges

What Students Create

  • An implemented Neural Net for solving a challenge

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 Intro to Artificial Intelligence & Machine Learning 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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If camp is canceled due to COVID-19 you’ll receive full credit for Summer 2021. Terms.
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Frequently Asked Questions

Is there any previous experience required for this course?

No prior experience in this course is required, however, strong mathematics skills are highly recommended. We advise that any students taking this course have completed Algebra 1.

Camp Upgrades

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

Lunch Plan

Make things easy and get lunch on campus so you don’t have to pack your own. Lunch Plans start at $95/week at select locations.

Overnight Housing

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

Extended Day

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

Weekend Stay

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

“My son joined the 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.