Available courses

Artificial intelligence is becoming part of everyday life, but many people use it without fully understanding what it is or how it works. This course introduces students to the basic idea of AI in clear, simple language. Learners will explore what AI is, what it is not, where it appears in daily life, and why it matters.

Through guided lessons, examples, discussion, and simple hands-on activities, students will begin building the vocabulary and awareness needed to participate in the Youth AI Pipeline. The course helps students recognize AI tools and understand that AI systems respond to inputs, generate outputs, and still require human judgment and responsible use.

By the end of this course, students will be able to explain AI in simple terms, identify examples of AI in everyday life, and describe the difference between helpful AI support and human decision-making.

Artificial intelligence is already part of daily life, even when people do not always notice it. This course helps students explore how AI appears in common tools, apps, and systems they may already use for music, videos, maps, writing, shopping, communication, and learning.

Through guided lessons, examples, discussions, and simple observation activities, learners will identify everyday uses of AI and explain how these systems help generate suggestions, predictions, or responses. Students will also reflect on why AI can be useful, but still requires human judgment, attention, and responsible use.

By the end of this course, students will be able to identify examples of AI in everyday life, describe what AI may be doing in those situations, and explain why people still need to think carefully when using AI-supported tools.

This course introduces students to the basic idea of prompting, or how people give instructions to AI tools. Students will learn that the quality of an AI response often depends on the clarity of the input they provide. Through examples, guided practice, and reflection, learners will explore how prompts shape results and why clearer directions often lead to better outputs.

By the end of this course, students will be able to describe what a prompt is, recognize the difference between weak and strong prompts, and explain why human judgment still matters when using AI-generated results.

This course introduces students to the responsible use of artificial intelligence in everyday life. Learners will explore how AI can be helpful, where it can go wrong, and why human judgment still matters. The course covers basic issues such as inaccurate outputs, privacy, bias, digital safety, and the importance of checking information before using it. By the end of the course, students will be able to recognize responsible and irresponsible uses of AI and explain how to interact with AI tools in a safer, smarter, and more thoughtful way.

Students discover how AI impacts entertainment, communication, and creativity.

Hands-on course where students create images, stories, and ideas using AI tools.

This course helps students move from exploring AI to using it to solve simple real-world problems. Learners will practice breaking a problem into smaller parts, deciding how AI can help, giving better instructions, and improving results through revision. The course emphasizes practical thinking, experimentation, and reflection. By the end of the course, students will be able to use AI as a support tool for planning, organizing ideas, simplifying tasks, or generating helpful starting points for problem-solving.

Students learn the vocabulary and core concepts of artificial intelligence systems.

How AI systems process information and generate results.

This course teaches students how to think critically about AI-generated content. Learners will explore how AI outputs can appear convincing while still being incomplete, inaccurate, biased, or misleading. The course introduces the concepts of trust, bias, verification, and human review through examples and guided analysis. By the end of the course, students will be able to evaluate AI responses more carefully, identify when verification is needed, and explain why responsible AI use requires questioning and checking information instead of accepting every output at face value.

This course introduces students to the idea that AI works best when combined with human judgment, direction, and review. Learners will examine how people and AI can work together to complete tasks more effectively, while also identifying the areas where humans must still make decisions, interpret results, and ensure quality. The course focuses on collaboration, not replacement. By the end of the course, students will understand how AI can support human work, where human oversight is necessary, and how to design a basic human-plus-AI workflow.

Students learn structured AI workflows for solving problems and building solutions.

Understanding machine learning, models, data, and AI decision processes.

Using AI tools for productivity, research, and professional tasks.

Students develop a portfolio showcasing projects created using AI tools.

This course helps students apply AI to practical, real-world tasks that resemble workplace, community, or organizational needs. Learners will identify a problem, define the goal, test ways AI can support the process, and evaluate whether the solution is actually useful. The course emphasizes structure, relevance, and impact rather than using AI just for novelty. By the end of the course, students will be able to frame a realistic problem, use AI as a support tool, improve the process through iteration, and explain the value of their solution clearly.

This course introduces students to the growing role of AI across careers, industries, and entrepreneurial pathways. Learners will explore how AI is used in professional environments, how different jobs may be influenced by AI tools, and what skills are needed to work responsibly with these systems. The course helps students connect AI learning to future goals by showing how AI can support communication, research, creativity, organization, and decision-making in many career fields. By the end of the course, students will be able to identify AI-related opportunities and explain how AI literacy connects to workforce readiness.

This capstone course gives students the opportunity to bring together what they have learned across the Youth AI Pipeline and apply it in a meaningful final project. Learners will identify a real problem, goal, or creative challenge, design an AI-assisted solution or workflow, document their process, and present evidence of their thinking and results. The course emphasizes independent application, reflection, responsible use, and clear communication. By the end of the course, students will have produced a completed capstone artifact that demonstrates practical AI understanding and readiness for badge recognition or showcase presentation.

Students present projects demonstrating their AI skills and knowledge.