AI ELITE CAMP

AI Elite Camp equips students with the tools to combine their knowledge and creativity, transforming AI from a tool into a partner in innovation. By mastering AI, they will not just adapt to the future—they will shape it. This is the opportunity to prepare your child to excel in an AI-driven world and emerge as one of tomorrow’s elite innovators and leaders.

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The future belongs to those who can master AI—not just as a tool but as a partner in innovation. With 25 years of experience in the software industry, a decade in big data, and 3 years in AI development, I’ve seen firsthand the power of AI to transform industries and lives. Yet, I’ve also witnessed how many students feel lost, unsure of where to begin or how to use AI to shape their future.

To address this, my team and I developed the world’s first psychological RAG system, combining psychology, big data, and large language models. This groundbreaking concept has opened new doors in education and personal growth, and we are passionate about using it to help students prepare for the future. We believe in empowering students—not just to use AI, but to master it by combining their knowledge and creativity, enabling them to turn AI into a powerful force for innovation.

At AI Elite Camp, we are committed to helping students realize their potential and prepare for the challenges and opportunities of tomorrow. Our program is designed with flexibility in mind, offering five engaging online lessons coupled with hands-on homework assignments. These lessons go beyond teaching tools—they inspire students to think critically, apply their imagination, and develop real-world solutions using AI.

This camp isn’t just about learning AI; it’s about building confidence, fostering creativity, and preparing students to thrive in a rapidly evolving world. We are deeply passionate about equipping the next generation with the skills and mindset they need to lead and succeed in the AI era. Join us for this transformative journey and help young students unlock their potential to become a creative leader of tomorrow. Charles Wang, Founder, AI Elite Camp

Meet the team

Led by the core AI team at MotivationQuotient.com, this pioneering group seamlessly integrates psychology, big data, and generative AI to develop real-world AI applications. With a proven track record of success, the team has transformed theoretical AI concepts into impactful industrial solutions, exemplified by the MotivationQuotient.com Project—the world’s first psychological generative AI system. This groundbreaking platform analyzes human motivations by leveraging AI-powered data analytics, advanced decision-making frameworks, and big data insights.

The team combines exceptional talent in AI innovation, practical expertise in real-world applications, and a robust foundation in AI research. This unique synergy bridges cutting-edge theory with effective implementation, offering a holistic approach to AI education. By integrating these strengths, the team ensures students not only learn AI but also gain a deep understanding of its potential and real-world applications. This approach empowers students to become Elite AI talents, capable of mastering AI as both a tool and a transformative force for innovation.

Founder / AI Innovation Director

Charles Wang

Founder of AI Elite Camp, former Technical Director at a publicly traded U.S. company, founder of Equalearning and the AI big data analytics platform for MotivationQuotient, and holder of multiple AI-related patents. With exceptional creativity and innovative thinking, he serves as our team’s AI Innovation Director.

AI Research/Course Director

Lucas Tsai

Research Director with a Ph.D. in Industrial Engineering from the University of Wisconsin, author of multiple AI academic papers, specializing in combining AI theory with practical applications. With extensive knowledge and a profound understanding of AI, he serves as our team’s AI Research Director and online course director.

AI Training Director

Forest Shen

Ph.D. in AI from the National University of Singapore, AI big data architect, and AI education expert. With expertise in managing big data, AI analysis, and training, he plays a key role as our team’s AI Training Director. Additionally, he is responsible for designing and overseeing the AI training system architecture for the AI Elite Camp.

What Makes Us Different:

Beyond Tool-Based AI Education: We don’t just teach students how to use AI; we guide them in learning how to communicate with and train AI, enabling them to apply AI in innovative projects.
Fast-Paced, Effective Learning Model: Each week includes two hours of Zoom classes led by top AI experts from the U.S., coupled with ten hours of meticulously designed, hands-on assignments. This structure helps students deeply master core AI and mobile app development skills in just five weeks.
The Perfect Blend of Creativity and AI: Students will complete their own projects, such as designing a virtual online Disneyland. Through AI and big data integration, they will create unique interactive applications via their custom-built apps.

Lesson Plan

Class 101: Introduction to AI Learning and Applications

(3 hours lecture, 2 hours homework)

Class 201: LLM Prompt and APP Creation

(3 hours lecture, 3 hours project)

Class 301: Advanced AI Techniques, RAG, Prompt Engineering, and Project Completion

(3 hours lecture, 3 hours project)

Class 401: Cloud-Based AI Application

(3 hours lecture, 3 hours project)

Syllabus

· Basics of AI: Introduction to AI history, types, and fundamental concepts, encompassing rule-based AI, machine learning, neural networks, and generative AI.

· Neural Networks: Exploration of neural networks, inspired by the human brain, with a focus on their learning processes.

· Generative AI and LLMs: Examination of large language models (LLMs) and generative AI, highlighting their applications in information summarization and productivity enhancement.

Homework/Project: Brainstorm on the project's goals and problem statement.

Syllabus

· Fundamental AI Concepts: Reinforcement of key principles of AI and understanding neural network operations.

· Prompt Engineering: Instruction on crafting effective prompts for AI training, focusing on user, system, and assistant roles.

· Basic APP Development: Guidance on setting up an AI-enabled app, covering user interaction and design aspects using tools such as MIT App Inventor.

Homework/Project: Develop AI training texts, engage in hands-on app development, and create a presentation focusing on real-world user stories.

Syllabus

Advanced RAG Techniques: Comprehensive exploration of Retrieval-Augmented Generation to enhance AI applications.

· 301: Introduction to Prompt Engineering:

o Effective Inputs: Craft inputs for AI to elicit specific responses.

o Messaging: Understand types of messages (system, user, assistant) and techniques like using personas, delimiters, and detailed instructions.

· 302: Introduction to Retrieval Augmented Generation in AI:

o RAG Integration: Combining large language models with retrieval systems for accuracy.

o Practical Applications: Use cases like chatbots, educational tools, and recommendation systems.

· Project Finalization: Round off AI app projects, concentrating on presentation and feedback incorporation.

Homework/Project: Focus on the completion of app projects, export, and share .aia files, and develop detailed presentations. Encourage peer feedback and apply RAG and prompt engineering techniques for optimal outcomes.

Syllabus

· UI Design for Cloud-Based AI: Develop user interfaces specifically tailored for cloud-based AI applications.

· AI Assistant Deployment: Explore methods for deploying web-based AI assistants.

· Embedding AI Assistants: Techniques for building and embedding AI assistants into various websites.

Teaching Plan

Lecture: Review cloud-based UI design for AI applications, methods for deploying web AI assistants, and practical embedding techniques. Discuss the benefits and challenges of cloud-based vs. traditional applications.

Homework/Project: Create a cloud-based AI application website, incorporate an AI chatbot as an iframe, and prepare a promotion strategy for the cloud-based application.

Ready to Become an AI Elite?

See what our students achieved in their Final Project 👉 View the AI Elite 2024 Showcase

FAQ

1. What is the suitable age range for this course?

Our course is designed for children aged 10 to 17. At this age, students typically have a solid learning foundation and are in a phase of rapid creative development. The course not only strengthens their learning abilities but also inspires creative thinking, helping them excel academically and innovatively.

3. How much time is required for the course or activities?

Each session lasts approximately 3 hours, and assignments typically require 2 to 3 hours to fully digest the content. We encourage students to work closely with their teaching assistants to ensure timely and effective completion of their assignments.
This is a high-intensity training program, and we have high expectations for students. We hope they remain focused and dedicated to completing their work, unlocking their full learning potential.

5. Is this course only available online?

Our course is highly flexible and can be delivered online or offline, with a variety of scheduling options:

Online Learning: Classes are conducted live online with full assistant support to guide students through learning and assignments.
In-person Classes: We collaborate with schools and educational institutions to provide in-person classes led by dedicated instructors (assistants).
Flexible Scheduling: The course can be tailored to specific needs, ranging from intensive 6-day programs to 18-week plans aligned with school schedules.
Unified Progress Requirements: Regardless of the mode, each class typically consists of 15 to 20 students, and all students are expected to maintain consistent progress and scheduling.
This flexibility ensures students can achieve their learning goals in a way that best suits their needs.

2. Can my child join if they have no experience in programming or AI?

We warmly welcome children with no programming or AI experience! In the future, repetitive programming tasks may be replaced by AI. Therefore, we aim to teach children how to effectively use AI as a tool to unleash their creativity and ideas. Programming is not a prerequisite for our course. Instead, we focus on helping students develop the right skills and experience in using AI, fostering their creative thinking and problem-solving abilities.

4. How can I assess the effectiveness of the course?

Our course is results-oriented and evaluates student performance through:

Learning Goals and Progress: At the end of each class, we review whether students have achieved the set goals.
Assistant Support: Teaching assistants provide guidance to ensure students complete their assignments effectively.
Mid-course Evaluation: After the fifth class, we conduct an overall assessment to review progress and offer tailored suggestions.
Project Competition: We encourage students to participate in project competitions where they apply theoretical knowledge, combine creativity, and turn their dreams into reality.
We aim to not only equip students with skills but also inspire confidence and creativity through hands-on practice, which is our core metric for success.

6. How does this course operate online?

Our course combines live online classes with guided learning, ensuring students learn effectively within a fixed schedule:

Fixed Class Times: Classes are conducted through live sessions, and students are required to attend at scheduled times.
Assistant Support: Each class is supported by a dedicated teaching assistant who helps students with their questions and assignments.
Founder Participation: The course starts with an interactive session led by the founder, and the final projects are evaluated by all three founders with professional feedback.
Assignment Requirements: Students need to complete assignments after each class (approximately 6 to 10 hours) and meet set expectations before the next session.
We emphasize efficient learning within a structured timeline, with a combination of structured teaching and comprehensive support.