Courses
Computation Thinking With AI Agents
Future Course, Planned to be during Summer 2026 | Instructor: Louwyn An
Computational thinking is the skill of breaking a complex problem into smaller parts, finding patterns, building rules, testing assumptions, and using models to understand what is really happening. It is useful far beyond computer science. It helps students reason about games, ecosystems, health behaviors, competitions, brain science, social systems, fairness, and everyday decisions.
AI agents make computational thinking even more powerful. In this course, students will not treat
AI as a shortcut for getting answers. Instead, they will learn how to use AI agents as tools for
exploration. Students will build and modify small simulations, create agents with rules and goals, run
experiments, compare outcomes, and ask better questions.
Across 10 weeks, students will investigate vivid real-world examples: Monty Hall, wolves and deer,
glucose spikes, exponential growth, mini golf pressure, famous brain cases, role-based behavior, the
tragedy of the commons, and AI-assisted debate judging. Each topic becomes a small laboratory for
thinking more clearly.
Creating Websites with Generate AI
Fall 2024 | Instructor: Louwyn An
During the fall semester, we offered a hands-on course designed to empower elementry-middle schoolers with both foundational knowledge and practical experience in creating web aplications with Generative AI. This program drew upon the core values of our organization, blending academic insight with real-world application to create a dynamic and impactful learning environment.
Through countless group projects such as creating a AI powered translator app, a AI chatbot, and much more, students explored key concepts geared toward our AI driven world.
By the end of the course, the students presented their final projects, a AI driven web-app made completely by themselves. While some made text summarizers, others made language learning companions. All students were able to fully develop a web-app using the tools they learned, demonstrating the real-world effectiveness of this course.
Create, Influence, Monetize: Generative AI in action
Spring 2025 | Instructor: Louwyn An
This course explored practical and creative applications of generative AI, focusing on content creation, personal branding, and entrepreneurship.
Students learned how to use AI tools to generate blog posts, logos, YouTube scripts, and other digital content.
The course also introduced real-world applications, including AI-powered side projects and service ideas such as chatbot development and AI-assisted design. Emphasis was placed on creativity, ethical AI use, and combining technical skills with entrepreneurial thinking.
By the end of the course, students developed a clearer understanding of how generative AI can be used for communication, influence, and innovation.
Agentic AI: Building Autonomous AI Agents (Part 1)
Fall 2025 | Instructor: Louwyn An
This course introduced students to agentic AI, where software agents can plan, reason, and complete tasks independently. Students explored how AI agents differ from traditional chatbots and how they can be applied in education, research, and productivity.
Students gained hands-on experience with tools such as AutoGen, OpenAI’s Agent SDK, CrewAI, SmolAgents, and Dify. They built early-stage AI agents including tutors, debate partners, and research assistants.
By the end of Part 1, students developed a strong foundation in designing and prototyping AI agents.
Agentic AI: Building Autonomous AI Agents (Part 2)
Spring 2026 | Instructor: Louwyn An
Building on Part 1, this course focused on advanced agent design, multi-agent collaboration, and real-world workflows. Students learned how to design systems where multiple AI agents coordinate to solve complex problems.
The course emphasized project-based learning. Students created applications such as debate systems, medical report interpreters, and automated research assistants, while refining prompt design and workflow structure.
By the end of the course, students developed a portfolio of more advanced AI agent systems and strengthened their ability to design practical AI solutions.
Even More to Come!
Here at Mangocore, our core mission is to educate our community on the importance of AI. Stay tuned by contacting us and follow us along our jouney!