Learn the tool.
Develop the person.
Apply it to your work.
Explore every module title listed on Maahir’s public curriculum. The catalogue below is a snapshot, not a completion claim. Examples in the linked guides explain how a topic can become practical work.
Foundation
Learn to direct, check and combine AI tools. From chat and files to development, voice, design, agents and capstone projects, the foundation builds practical tool literacy. The learner still defines the problem, checks the result and explains decisions.
Read the guide →Curriculum familyCharacter
Develop the habits around useful work. Confidence, reliability, ethics, boundaries, communication, financial literacy and wellbeing connect technical capability to how someone works with people. These are learnable behaviours, not fixed personality labels.
Read the guide →Curriculum familyCybersecurity
Connect knowledge with authorised practice. Explore security concepts, ethical boundaries and evidence-led work. Offensive topics belong only in permitted labs or properly authorised engagements. Progress requires qualified review, not just running a tool.
Read the guide →Curriculum familyKids Track
Begin with curiosity, safety and making. Children’s activities connect digital literacy, AI questions, creative coding and safe online habits. Guardians and teachers help choose age-appropriate work and review participation.
Read the guide →Curriculum familySpecialization Tracks
Apply the foundation to your profession. Explore industry-aware learning in education, HR, finance, healthcare, operations, marketing, sales, entrepreneurship, community development and systems. Profession mastery connects role understanding with tools, practice and proof.
Read the guide →Content reference: curriculum · tracks. Reviewed 5 October 2026. This guide explains the public catalogue and practical applications; current availability and individual records remain on the platform.
From repeated problem to a tested prototype
A team repeatedly answers the same service questions and wants an AI assistant.
Research → design → build → testFollow the example →
Test the problem before building the app
A founder has an exciting app idea but has not checked whether people face the problem often enough.
Customer discovery + prototype thinkingFollow the example →Explore the expanded platform
The 10 October catalogue review lists 93 learning-path destinations. These complement the detailed guides above; they do not mean 93 separate qualifications.