Generation AI High School Curriculum

Advanced AI education integrated into Armenia’s public school system

What makes Generation AI unique?

Integrated Into National Curriculum

Backed by the Ministry of Education, Science, Culture and Sports of Armenia, the curriculum is fully integrated into the national education system, ensuring nationwide access to AI education.

Project-Based AI Learning

Across grades 10–12, the curriculum integrates extensive Project-Based Learning (PBL) in math, Python, and AI, enabling students to apply theory to real-world problems while strengthening critical thinking and problem-solving skills.

Designed for AI Creators, Not Just Users

Students move beyond AI literacy to advanced learning of ML, DL, NLP and LLM models. By graduation, they can build their own AI models, understand the underlying math and compete in international AI olympiads.

Expert-Led Design & Global Benchmarking

Developed by local and international experts, the curriculum is aligned with major global frameworks, including UNESCO’s AI Competency Framework and AI4K12, ensuring academic rigor, global relevance, and industry alignment.

Generation AI Curriculum

10th Grade

Advanced Algebra & Elements of Math Analysis (based on state program)

Computer Science with Python Basic Level

AI Literacy Machine Learning Basic Level

11th Grade

Advanced Algebra &Elements of Math Analysis (based on state program)

Computer Science with Python Programming including Data Analysis & Visualization Advanced Level

Machine Learning & Deep Learning including Neural Networks Advanced Level

12th Grade

Advanced Algebra & Elements of Math Analysis (based on state program)

Deep Learning & Natural Language Processing Capstone Project Implementation in AI

Extra Clubs

Applications of Algebra, Python & AI in Real Life Math for AI About 204 Academic Hours

Skill Development Clubs & Summer Camp

Career & Further Education Guidance Sessions & Visits

Generation AI combines rigorous academic foundations with hands-on, project-based learning. Teachers serve as mentors and learning facilitators, guiding students from understanding core concepts to applying them in real-world challenges. AI and Python specialists from industry enrich the curriculum with practical insights and firsthand expertise, helping students connect their learning with future pathways in AI and technology.

Soft Skills

Mindset: Analytical, critical, systemic, creative and innovative thinking

Personal Skills: Attention to detail, curiosity, independence, and adaptability

Teamwork: Communication, collaboration, organizational and planning abilities

Leadership: Decision-making, leadership, and strategic vision

Hard Skills

Mathematics and Statistics: Mathematical thinking, numerical and statistical analysis and modeling for AI

Data Science and AI: Data collection and analysis, ML and AI models (Regression, Decision Tree, CNN, NLP, Transformers)

Programming and Computational Skills: Python programming, data structures, algorithms, version control, and debugging

Projects and Technical Communication: Project development, documentation, presentation and organization

Teacher Methodological Guidelines