Top 10 Artificial Intelligence Virtual Camps to Inform, Equip, and Inspire High School Students
The emergence of artificial intelligence has excited the world with its promise of innovation and technological advancement, not only in careers but also in our homes and education. In today's day and age, high schoolers must stay informed of our technologically advanced world by taking classes, enrolling in programs, and attending camps that thoroughly discuss the benefits and perils of Artificial Intelligence. Not only will these activities educate our youth of the comping future but could additionally open new opportunities in career and college decisions
Any STEM in-person camp can be costly, and despite offering food, board, and in-person classes, many families can't afford the steep price despite their children's eagerness and passion to educate themselves about AI.
Luckily, there is another alternative that still offers the same interactive learning sphere at a usually much lower cost: Virtual camps. Online learning has taken off since Covid-19 and has perfected over the years. Virtual camps geared towards Artificial intelligence are now equipped to teach high schoolers through hands-on project-based education and interaction with real-world AI practitioners or researchers.
In this blog, we have compiled a list of the 10 best Artificial intelligence virtual camps for high schoolers to increase their understanding of AI through hands-on, creative projects and demonstrations.
Top 10 Artificial Intelligence Virtual Camps for High Schoolers
Inspirit AI
Location: Virtual
Cost: $1200 (payment plans available)
Application Deadline: Rolling. Programs offered year-round.
Program Dates: Various days and times for you to choose for your best convenience
Eligibility: 9-12th graders with a passion and drive to learn about AI; no past-coding experience necessary
Inspirit AI Scholar program is an online artificial intelligence camp that introduces high school students to fundamental AI concepts. It ties in with their knowledge by guiding them to create socially impactful projects. Additionally, this program includes a college prep session with helpful tips to stand out in your application to your future college. These courses are taught by alumni from prestigious universities such as MIT, Stanford, and more. After covering underlying machine learning concepts, student groups combine to apply their newfound learning to create a problem-solving social project with various domains and AI techniques. Past projects touch on healthcare, mobility, sustainability, music, economics, and business. For those eager to understand how Artificial Intelligence can be applied to social aspects of our lives, this is the course for you.
Stanford AI4All
Location: Virtual
Cost:$4,000 (financial help is available)
Application Deadline: To be decided. Updates are posted here.
Program Dates: June 26 - July 14 (Tentatively, based on past program dates)
Eligibility: Current 9th graders who are rising 10th graders throughout the summer with a curiosity to explore the field of AI.
Throughout this three-week online program, high schoolers will be immersed in AI through a series of lectures, hands-on research projects, and mentoring activities. Participants will have the opportunity to discuss and engage with Stanford faculty in CS, AI, and related fields to learn about cutting-edge ideas, such as how AI can be applied in medicine, disaster response, and combating poverty.
AI4ALL at University of Washington
Location: Virtual
Cost: None
Application Deadline: July 1st
Program Dates: July 18 - Tuesday, September 5th (Based on past program dates)
Eligibility: Must be rising high school juniors, high school seniors, or students starting their freshman year of college in the fall
AI4ALL at the University of Washington is an online summer camp calling students to join for a free, 20-week data science and artificial intelligence introductory workshop. This workshop will train students to understand, analyze, interpret, and discuss real-world applications of data science and machine learning to understand impactful technology decisions. The program focuses on data science, geographical information science, machine learning (ML), and their application in daily life. What’s great about this program is that no previous coding experience is necessary, lessons assume beginner level, and- it’s free!
RAISE AI at MIT
Location: Virtual
Cost: Varies by course
Application Deadline: Varies by course
Program Dates: Vary by course
Eligibility: Some programs are offered for High schoolers, others for Middle schoolers
RAISE is such a student friendly program where youth between middle school and highschool can apply to their variety of courses that cover AI tools, robots, and ethics. Additionally, these courses are flexible because of their self-paced model and creates an easy going environment where students are free to go at their own pace yet receive quality instruction and guidance from RAISE’s applications and courses on Artificial intelligence and its applications.
Beaver Works Summer Institute with MIT
Location: Virtual
Cost: None
Application Deadline: Rolling ( they offer programs in the fall and summer)
Program Dates: Rolling
Eligibility: Students must be in highschool and demonstrate a capacity for STEM learning.
This online summer camp is accredited for focusing on project-based courses, such as Serious Games and Artificial Intelligence, Cyber ops, quantum software, and more! And here's where it gets good - all for free! Students will build an analysis framework in Python to study the technical, moral, and strategic opportunities new technologies present to that application. It is worth mentioning that this program selectively is high, so students must be capable of understanding AI concepts and have an eagerness to learn as much as they can from this course.
AI/Big Data with The CodingSchool
Location: Virtual
Cost: $395
Application Deadline:
Program Dates: Students meet for a week, three hours per day from July 10th - July 14th
Eligibility: Must be in the 9th-12th grades (students will be divided into small groups determined by their grade) with an eagerness to educate themselves on AI.
Partnered with Stanford, Johns Hopkins, and the Department of Defense for creating its Artificial Intelligence courses, The Coding School offers an online summer camp where students will develop foundational knowledge in Machine Learning. Additionally, students learn how to utilize large data sets and program ML algorithms through project-based learning.
AI Summer Camp by Adventure AI
Location: Virtual
Cost: All programs are below $500
Application Deadline: Applications currently open. Deadline is rolling
Program Dates:
Weekday Camp Options — run from July 17th through 21st.
Weekend Camp Options — from the weekend of July 22nd to August 20th.
Eligibility: Middle and High School students
Adventure AI summer camp is a modern cutting-edge AI camp that focuses on guiding youth to create and generate products, tools, and ideas in their interest areas. Some creations include GPT-4-powered games, websites, art, rocket diagrams, and more. The camp also includes a self paced GPT and arts curriculum, along with individualized help from an AI expert. Apart from the unique chance to create in the realms of AI and learn to prompt GPT and art AIs, the camp offers chances to compete in AI competitions and is generally fairly flexible - students can register for either the weekday camp option or the weekend camp option.
Berkley Coding Academy - Data Science to AI
Location: Virtual
Cost: $2,495
Application Deadline: July
Program Dates: June 10 - June 28 2024
Eligibility: Ages 12-18. No prior experience required.
Berkeley’s summer course on data science to AI is focused on introducing students to the fundamentals of AI, ML, and big data science. Students will learn how to write and evaluate the Python code behind AI and build ML models from accurate data. This course is ideal for those with some experience with Python and looking to take part in a technical skill-building course. The class has different levels for students based on their coding background, and they work in small groups to create their own projects and models.
Machine Learning for Beginners at Purdue University
Location: Virtual
Cost: $200
Application Deadline: July (Tentatively, based on previous years)
Program Dates: July (Tentatively, based on previous years)
Eligibility: 10th to 12th graders who have taken high school algebra 2. Calculus 1 is recommended, but not required
Machine Learning for Beginners by Purdue University is taught by a computer engineering professor and Ph.D. alumni from Purdue, with support from the National Science Foundation. It is a 5-day crash course that introduces students to AI and ML. They learn the fundamentals of AI & ML, python, neural networks, pattern recognition, and image processing. This program is an excellent fit for students looking to start their AI journey and leave the course with proficiency in Python programming while gaining deep insights into practical applications, including building algorithms and programming robots.
Overview on AI Camps
Artificial Intelligence has a futuristic ring to it, doesn't it? As much as some deny it, AI isn't the future - it's the present.
Because our youth is the future of our humanity, it is only fitting that teens stay continuously up to date in our rapidly changing world, eager to accept, embrace, and innovate themselves with Artificial intelligence.
Each of the Virtual AI camps listed above seeks to strengthen high schoolers' understanding of Artificial intelligence by offering immersive, AI-related experiences and knowledge-packed lectures by proficient researchers from renowned universities.
Through all these virtual AI camps, high schoolers have the opportunity to gain valuable knowledge and insight by interacting with other like-minded students, participating in the classroom, and working on hands-on, AI-based projects.
About Inspirit AI
AI Scholars Live Online is a 10 session (25-hour) program that exposes high school students to fundamental AI concepts and guides them to build a socially impactful project. Taught by our team of graduate students from Stanford, MIT, and more, students receive a personalized learning experience in small groups with a student-teacher ratio of 5:1.
