Artificial intelligence is showing up everywhere right now, from the apps you use to the systems companies rely on. If you want to get better at it, starting early makes a difference, and one of the easiest ways to get into it without committing to long programs is by taking an AI course in high school.
As a participant, you actually sit down and try things out. You write small pieces of code, work with simple datasets, and see how a model responds when you change inputs. Some courses walk you through how recommendations work, others show how predictions are made. It’s less about theory at the start and more about getting comfortable with how things behave when you run them yourself.
What do AI courses for high school students include?
Most courses begin with basic coding, usually in Python, and then move into working with data. You learn how to clean it, organize it, and use it in simple models. From there, you might try building a small prediction system or understanding how something like image recognition works at a basic level.
What makes these courses different from general programs is that you are constantly doing something, not just listening. By the end, you usually have a small project or model you’ve worked on, which gives you a clearer sense of whether this is something you actually want to pursue further.
To make your search easier, we’ve curated a list of 15 AI courses for high school students!
15 AI Courses for High School Students
1. Agentic AI and AI Agents for Leaders Specialization- Vanderbilt University
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 4 weeks
Application Deadline: Open Enrollment
Eligibility: Open to all
Agentic AI and AI Agents for Leaders Specialization by Vanderbilt University is a self-paced, four-week course for high school students. Through this three-course series, you will gain knowledge about the design and strategy applied to integrate AI agents into your business or team. You’ll also learn the safe implementation of AI agents as chatbots in your organization. The course will allow you to develop a range of skills, including AI product strategy, agentic systems, automation, AI personalization, LLM application, expense management, and many more. You’ll have the opportunity to earn a recognized certificate issued by Vanderbilt University while also gaining knowledge about tools such as generative AI, prompt engineering, agentic workflows, ChatGPT, OpenAI, and AI orchestration.
2. AI for Business- University of Pennsylvania
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 4 weeks
Application Deadline: Open enrollment
Eligibility: Open to all; No prior experience required
AI for Business by the University of Pennsylvania is a beginner-level, flexible four-week course. You’ll explore the foundational concepts in artificial intelligence, machine learning, and big data. The course will allow you to learn about AI risks and ethics, apply data analytics for effective marketing strategies, and explore the role of personalization in customer retention. You’ll develop a range of skills and tools, including analytics, business strategies, big data, AI enablement, data security, data governance, data-driven decision making, fraud detection, Generative Adversarial Networks (GANs), and more. The three-course series allows you to work on an applied learning project by the end of each course as part of the assessment.
3. AI Agent Developer Specialization- Vanderbilt University
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 2 months
Application Deadline: Open enrollment
Eligibility: Open to anyone with basic Python programming experience
AI Agent Developer Specialization by Vanderbilt University is a beginner-level, self-paced, six-course series. You’ll gain knowledge about creating custom GPTs and engage in real-world tasks through prompt engineering techniques. You’ll apply Python, reasoning, memory, and tools to develop and deploy smart AI agents. The course will allow you to develop a range of skills, including data presentation, document management, ideation, LLM application, prompt patterns, AI personalization, and more. You’ll have the opportunity to earn a career certificate on program completion while also gaining knowledge about tools such as LangChain, AI workflows, AI orchestration, and more.
4. Google AI Professional Certificate
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 8 hours
Application Deadline: Open enrollment
Eligibility: Open to all; No prior experience required
The Google AI Professional Certificate is a beginner-level seven-course series for high school students. You’ll learn to engage in responsible use of AI, develop AI skills in communication, data analysis, and research, and work in collaboration with AI for effective outcomes. The course will allow you to develop valuable skills such as data visualization, project management, simulation and simulation software, data analysis, content creation, business modeling, and more. You’ll learn to apply vibe coding and develop custom applications to address real-world workplace challenges. You’ll earn a Google Careers Certificate on course completion.
5. AI in Healthcare- Stanford University
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 4 weeks
Application Deadline: Open enrollment
Eligibility: Open to all; No prior experience required
AI in Healthcare by Stanford University is a self-paced four-week course for high school students. The course will allow you to explore problems faced by healthcare workers and understand how machine learning can help solve them. You’ll examine the role of AI in patient care safety, research, and quality. You’ll develop a range of skills, including data ethics, applied machine learning, healthcare ethics, data mining, clinical data management, and more. You’ll gain knowledge about the growing technologies in AI and understand the relationship shared by artificial intelligence with the medicine business and practice.
6. AI Foundations for Business Professionals Specialization
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 4 weeks
Application Deadline: Open enrollment
Eligibility: Open to all; No prior experience required
AI Foundations for Business Professionals Specialization is a three-course series for high school students. The course will allow you to learn fundamental concepts in AI and machine learning, understand the differences between generative AI and traditional models, along with the real-world applications of large language models. You’ll learn to manage AI risks and develop a range of skills, including Generative Model Architectures, Multimodal Prompts, AI Enablement, Retrieval-Augmented Generation, Business Ethics, Project Management, and more. You’ll also learn tools such as agentic workflows and generative AI.
7. MIT’s Beaver Works Summer Institute (BWSI): Serious Games Development with Artificial Intelligence Course
Location: Virtual or in-person at MIT, Cambridge, MA
Cost: Free for students with a family income of less than $200,000; $2,400 otherwise
Dates: Online prerequisite courses: February 2 – June 19; Summer program: July 6 – August 2
Application Deadline: March 30
Eligibility: Grade 9th-11th high school students in the U.S. who have completed the online prerequisite courses
MIT’s Beaver Works Summer Institute (BWSI): Serious Games Development with Artificial Intelligence Course includes an online component and a four-week summer component for select students. The course will help you learn a range of topics, including ethics for AI, undead domain modeling, systems modeling, backend game development, agile team and software practices, game mechanics, and input interfaces, and more. You’ll gain knowledge about different types of gaming, experimental design, and explore the game theme focused on the outbreak of an extremely contagious disease threatening a densely populated, urban area.
8. Financial Technology (Fintech) Innovations Specialization- University of Michigan
Location: Virtual via Coursera
Cost: Free to enroll
Dates: Self-paced; Typical commitment of 4 weeks
Application Deadline: Open enrollment
Eligibility: Open to all; No prior experience required
Financial Technology (Fintech) Innovations Specialization- University of Michigan is a beginner-level four-course series for high school students. You’ll engage in a flexible learning opportunity and explore a range of topics, including the interpretation of credit scores, understanding how legacy payment systems are different from innovations in payments, and learning the implementation of smart Investment techniques. The course will allow you to develop skills like capital markets, banking, blockchain, credit risk, consumer lending, retail banking, payment processing, wealth management, and more. The course is instructed by Robert Dittmar, Professor of Finance at the University of Michigan.
9. Syracuse University’s Build Your Future with Artificial Intelligence Pre-College Course
Location: Syracuse University, Syracuse, NY
Cost: Residential: $4,995; Commuter: $4,024
Dates: July 19 – 30
Application Deadline: May 1
Eligibility: Rising high school sophomores, juniors, and seniors, and recent high school graduates
Build Your Future with Artificial Intelligence at Syracuse University allows you to explore how AI works through a beginner-friendly course that focuses on real-world applications and hands-on use of AI tools. You’ll learn how AI is used across areas like social media, healthcare, sports, and climate science, while also understanding how these systems learn from data. The program includes interactive sessions where you experiment with AI platforms, build small projects, and work with others to solve problems or create ideas. Along the way, you also discuss topics like fairness, accuracy, and how AI affects society, which adds a broader understanding beyond just tools.
10. AI in Financial Services: Foundations through future trends Specialization
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 4 weeks
Application Deadline: Open enrollment
Eligibility: Open to anyone with a basic understanding of financial systems and interest in tech, innovation, and policy in financial services.
AI in Financial Services: Foundations through future trends Specialization offered by the Saïd Business School, University of Oxford, is a four-week self-paced course for high school students. It offers a three-course series and allows you to understand AI technologies and their role in financial services. You’ll gain knowledge about the ethical and regulatory frameworks related to consumer data rights and open finance, along with designing responsible financial products that are data-driven and address real-world challenges. The course will help you develop a range of skills in machine learning methods, business ethics, financial regulation, and many more.
11. Big Data, Artificial Intelligence, and Ethics- University of California, Davis
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 9 hours
Application Deadline: Open enrollment
Eligibility: Open to all; No prior experience required
Big Data, Artificial Intelligence, and Ethics is part of the Computational Social Science Specialization course and is a self-paced learning opportunity for high school students. You’ll engage in case studies and examine the applications of AI, work with IBM Watson, and engage in the analysis of personality by using Natural Language Processing. The course is offered by the University of California, Davis, and will allow you to develop skills in AI literacy, applied machine learning, responsible AI, data ethics, algorithms, and more.
12. Mind and Machine Specialization- University of Colorado Boulder
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 4 weeks
Application Deadline: Open enrollment
Eligibility: Open to all; No prior experience required
Mind and Machine Specialization- University of Colorado Boulder is a beginner-level four-course series. You’ll explore cognitive science and understand the links between human and artificial minds. The course will allow you to develop a range of skills, including AI literacy, behavioural economics, computational thinking, game theory, image analysis, logical reasoning, and more. You’ll gain knowledge about the principles of cognitive science along with the research conducted in different fields of cognitive science, including computer science, neuroscience, and psychology.
13. AI for Decision Makers- Fred Hutchinson Cancer Center
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 2 weeks
Application Deadline: Open enrollment
Eligibility: Open to all; Experience to manage technical staff is helpful but not required
AI for Decision Makers is a self-paced virtual course offered by the Fred Hutchinson Cancer Centre. The course will allow high school students to gain in-depth knowledge of AI and its ethical practices, and explore five modules focused on AI possibilities, requirements, and policies. You’ll develop valuable skills in data ethics, responsible AI, AI product strategy, model evaluation, decision making, legal risk mitigation, and more. By the end, the course will help you understand the application of AI in making efficient business and leadership decisions.
14. UW Youth & Teen Programs: Introduction to AI & Machine Learning
Location: University of Washington, Seattle, WA, or Virtual
Cost: $895
Dates: Multiple sessions offered. More information here
Application Deadline: Spring session: March 9; Summer session: Two weeks before the session starts
Eligibility: High school students who have fundamental knowledge of Python and are familiar with navigating and using code libraries
UW Youth & Teen Programs: Introduction to AI & Machine Learning offers you the opportunity to develop a personal AI tool. You’ll explore the fundamental concepts in AI, such as generative AI, reinforcement learning, computer vision, and machine learning. You’ll learn the ethical practices in AI and understand responsible AI development. The course is offered both virtually and in-person and allows you to earn a Youth & Teen Programs digital badge on successful completion. The course will help you gain knowledge about the future of artificial intelligence in different areas of technology.
15. AI in Media Specialization- Saïd Business School, University of Oxford
Location: Virtual via Coursera
Cost: Free to enroll; Paid Certificate (Optional)
Dates: Self-paced; Typical commitment of 4 weeks
Application Deadline: Open enrollment
Eligibility: Open to anyone with a basic understanding of media systems and an interest in technology
AI in Media Specialization is a three-course series offered by the Saïd Business School, University of Oxford. The course will allow you to understand recommendation algorithms, learn the role of generative AI in creativity-based tasks, including the generation of texts, videos, imagery, and music. You’ll gain knowledge about the legal and ethical aspects of AI in the field of content production and journalism. The course will allow you to develop a range of skills, including media strategy, agentic systems, content creation, artificial neural networks, business ethics, digital media strategy, and more.
One more option – Horizon Academic Research Program
If you’re looking for a competitive mentored research program in subjects like data science, machine learning, political theory, biology, and chemistry, consider applying to Horizon’s Research Seminars and Labs! This is a selective virtual research program that lets you engage in advanced research and develop a research paper on a subject of your choosing. Horizon has worked with 1000+ high school students so far and offers 600+ research specializations for you to choose from. You can find the application link here!
Image Source – Syracuse University