Learn the complete journey of modern software development.
From programming fundamentals to building and deploying AI-powered applications.
Six stages. One integrated skill.
We teach software development as an integrated skill rather than a collection of disconnected technologies. Students learn how to understand problems, design solutions, develop applications, integrate AI capabilities and deploy production-ready software.
Stage 1
Programming and Developer Foundations
Build a strong foundation before building applications.
- Programming fundamentals
- Python and JavaScript
- Variables, functions and data structures
- Object-oriented programming
- Problem-solving techniques
- HTML and CSS fundamentals
- Git and GitHub
- Debugging and reading errors
Practical outcome: Develop a basic application and publish the source code on GitHub.
Stage 2
Frontend and User Interface Development
Build interfaces that people can actually use.
- HTML, CSS and responsive design
- JavaScript and TypeScript
- React fundamentals
- Components, props and hooks
- Next.js and routing
- Tailwind CSS
- API integration
- Flutter and Dart for mobile development
Practical outcome: Develop a responsive multi-page web application.
Stage 3
Backend Engineering and Databases
Understand what happens behind every application.
- Backend development with Python and Node.js
- FastAPI and REST APIs
- Request and response handling
- Authentication and JWT
- Role-based access control
- SQL and PostgreSQL
- Database schema design
- Database migrations
- API validation and testing
Practical outcome: Build a backend application with authentication and a connected database.
Stage 4
Artificial Intelligence and Generative AI
Learn how to integrate AI into real applications.
- Introduction to AI and Machine Learning
- Understanding Large Language Models
- LLM APIs and model integration
- Prompt engineering
- Structured outputs
- Embeddings and semantic search
- Vector databases
- Retrieval-Augmented Generation (RAG)
- AI response evaluation
Practical outcome: Develop an AI assistant that can answer questions using your own data.
Stage 5
AI Agents and Automation
Move beyond AI-generated answers to intelligent task execution.
- AI agent architecture
- Tool calling and function calling
- Multi-step workflows
- Agent memory and context
- External API integrations
- Workflow automation
- Human-in-the-loop approval
- Guardrails and security
- Agent evaluation and cost monitoring
Practical outcome: Develop an AI agent that can perform a defined task using connected tools.
Stage 6
Deployment and Production Engineering
Make your application accessible to real users.
- Production build processes
- Environment configuration
- GitHub Actions
- CI/CD pipelines
- Deployment using Vercel
- Linux VPS fundamentals
- Domain and server configuration
- Application logging
- Monitoring and troubleshooting
- Performance and security fundamentals
Practical outcome: Deploy a complete application with a public URL.
Technologies you will work with.
- LanguagesPython, JavaScript, TypeScript, SQL and Dart
- FrontendReact, Next.js, Tailwind CSS and Flutter
- BackendFastAPI, Node.js and REST APIs
- DatabasePostgreSQL and Supabase
- AILLM APIs, Embeddings, Vector Search, RAG and AI Agents
- ToolsGit, GitHub, GitHub Actions, Vercel and Linux VPS
Learn through building, not just watching.
Every stage includes practical exercises and project-based learning. Our goal is not simply to teach frameworks, but to help you understand how complete software systems work.