Web3 Coding Academy
A comprehensive 10-12 week program in AI-assisted software development and modern web3 architecture
Program Overview
Learning Outcomes
- • Master AI-assisted development workflows
- • Understand modern web architecture
- • Build production-ready applications
- • Deploy and maintain software systems
- • Work effectively in development teams
Curriculum
Module 1: AI Development Fundamentals
Introduction to AI-assisted coding, Cursor mastery, and the AI developer mindset. Students learn to structure prompts, manage context windows, and effectively collaborate with AI tools.
Module 2: Engineering Environment Mastery
Comprehensive coverage of development environments, version control, package management, and workspace organization. Emphasis on professional tooling and best practices.
Module 3: Modern Web Stack Architecture
Deep dive into APIs, databases, authentication systems, and deployment architectures. Students learn to make informed architectural decisions before implementation.
Module 4: Language Fundamentals
JavaScript/TypeScript and Python survival kits. Focus on understanding AI-generated code, type systems, and language-specific patterns rather than syntax memorization.
Module 5: Framework Deep-Dives
Next.js architecture, server components, data fetching strategies, and deployment. Students develop mental models of how frameworks work at a fundamental level.
Module 6: Database Systems
Supabase, Firebase, and Prisma mastery. Row-level security, authentication flows, query design, and schema management.
Module 7: Solana Development (Elective)
Optional specialization track covering wallet integration, smart contract development with Anchor, and building on-chain applications.
Module 8: Debugging & Quality Assurance
AI-assisted debugging techniques, code review processes, security considerations, and quality assurance workflows.
Module 9: Real-World Project Development
Capstone project module. Students design, build, and deploy a complete application using AI-first workflows and industry-standard practices.
Module 10: Career Development
Portfolio building, technical documentation, GitHub presentation, and professional communication. Preparation for working in development teams.
Teaching Philosophy
Our curriculum emphasizes understanding how software works, not memorizing syntax. We teach architecture, tooling, and workflows that enable students to build production-ready applications using modern AI-assisted development practices.
Students learn to think like developers: breaking down problems, making architectural decisions, and using tools effectively. By graduation, graduates understand software development at a fundamental level and can adapt to new technologies and frameworks.
This program is designed for individuals seeking to build software professionally. No prior coding experience is required, but students should be comfortable learning new tools and thinking systematically about problems.
Application & Enrollment
Enrollment is open for upcoming cohorts. Complete the application form below to express your interest in the program.
Our admissions team will review your application and contact you with more information about the program, schedule, and next steps.