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Artificial Intelligence Academy

Two-Week Academy | Ages 12-18

Artificial Intelligence Academy

Two-Week Academy | Ages 12-18

Use Python to Build Advanced AI 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!

In this course, we’ll take a closer look at machine learning tools like the leading development language for AI Python, 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!

Week 1, Intro to Artificial Intelligence & Machine Learning with Python: At the beginning of the first week, students will understand the basics of how machine learning and AI work, affects our world, and start making their own machine learning-powered projects with block-based programming. As the course progresses, students will master the basics of programming in python, creating machine learning projects like chatbots, predictive models, and bots that learn to play games.

Week 2, Applied Data Science & Artificial Intelligence with Python: At the beginning of the second week, students will explore ways that AI is applied to data, tools, and how services, and 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.

Join Digital Media Academy and get ahead of the AI revolution!

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

Staff Ratio: 12:1
Hardware + Software: Python, Scikit-Learn, Tensoflow + Javascript

Ages: 12-18
Hours: 8:30AM – 5:00PM

Staff Ratio: 12:1
Hardware + Software: Python, Scikit-Learn, Tensoflow + Javascript

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

  • The basics of artificial intelligence and machine learning
  • How to use machine learning to find patterns and solve problems
  • To train a computer to play a game
  • How to find information in images using computer vision
  • Machine learning and neural network fundamentals
  • The strengths and limitations of predictions with artificial intelligence
  • Applying image recognition and data science to solve problems
  • How deep learning can be used to solve a multitude of challenges

What Students Create

  • An implemented Neural Net for solving a challenge
  • An image classifier on a category of their choice
  • A neural network for predictive analysis
  • An AI to let you play games with webcam video
  • Visualizations and insights from interesting data
  • Additional artificial intelligence projects

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 our Artificial Intelligence Academy 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

Select a region below

If camp is canceled due to COVID-19 you’ll receive full credit for Summer 2021. Terms.
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Frequently Asked Questions

Will I need a mobile phone?

A relatively new Android or iOS phone is HIGHLY recommended.

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.

“There are very few places that can offer an experience in programming like the Digital Media Academy can. With great instructors, friendly students, and an excellent environment to learn in, it’s an experience that can’t be beat!”

Albert F.

Mobile App Development with React

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.