Part 1 - Building Robust Software (OOP, SOLID & Design Patterns) and VC Mastering
Module 1: Object-Oriented Programming (OOP) & SOLID Principles
- Core OOP concepts and why OOP matters in full-stack development
- SOLID principles for maintainable and scalable code
- AI-powered refactoring and code optimization
Module 2: Design Patterns for Scalable Applications
- Introduction to Design Patterns
- Common patterns in full-stack development (Singleton, Factory, Observer, MVC)
- Best practices for maintainable software architecture
Module 3: Version Control & Collaboration (GIT), CI/CD Pipelines, AI tools
- Git basics: repositories, branches, commits, merges
- Using GitHub, GitLab, or Bitbucket
- AI-assisted coding (using tools like Gemini Code assist / GitHub Copilot / Cursor)
- Fundamentals of Continuous Integration & Continuous Deployment
- GitHub Actions, GitLab CI/CD
Part 2 - Modern Backend Development with AI Integration
Module 1: Introduction to Full-Stack Development
- Overview of client-server architecture
- Understanding frontend, backend, and databases
- Role of AI in modern software development
Module 2: API Development & Consumption
- What is an API? REST vs. GraphQL
- Creating and testing APIs using Postman
- OpenAPI & Swagger for documentation
- AI-powered API design and testing
Module 3: Backend Development with Spring Boot & Node.js
- Introduction to backend development using Spring Boot (Java) and Express.js (Node.js) frameworks
- Understanding dependency injection and inversion of control in both environments
- Building and structuring RESTful APIs with request/response handling and data transfer objects (DTOs)
- Implementing client-server communication patterns and API versioning best practices
- Integrating with SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases
- Using ORM tools like Spring Data JPA and Mongoose/Sequelize for data access
- Implementing authentication and authorization with JWT and OAuth 2.0
- Applying middleware (Express) and interceptors/filters (Spring) for cross-cutting concerns
- Leveraging AI tools for code suggestions, debugging, and performance optimization
- Developing a unified backend project applying learned concepts and best practices from both stacks
Part 3 – Frontend Development & Modern UI Frameworks
Module 1: Web Foundations – HTML, CSS & Modern JavaScript
- Semantic HTML and accessibility fundamentals
- CSS layout techniques: Flexbox, Grid, media queries, responsive design
- Modern JavaScript (ES6+): let/const, arrow functions, destructuring, modules
DOM manipulation and event handling - Fetch API and async/await
- AI-powered code scaffolding: Use AI to generate HTML/CSS/JS boilerplate
Module 2: React Fundamentals and Component-Driven Development
- JSX, components, props, and state
- Event handling, conditional rendering, and list rendering
- useEffect and component lifecycle in functional components
- Controlled components and form handling
- Component composition and prop drilling
- Introduction to custom hooks
- Build a complete small React app using best practices
Module 3: State Management for Scalable Applications
- When and why to manage application-level state
- Redux: store, actions, reducers, middleware (Thunk basics)
- Context API: lightweight alternative for global state
- Vuex basics for Vue.js state management
- Comparing Redux, Context API, and Vuex — use cases and tradeoffs
- Labs: Build a shopping cart with Redux and Context API
- AI for state modeling: Visualizing and explaining state transitions using AI tools
Module 4: AI-Assisted UI/UX Design, Accessibility & Frontend Best Practices
- Core principles of good UI/UX design
- Mobile-first and responsive design practices
- Accessibility (WCAG), ARIA roles, and inclusive web development
- AI tools for UI/UX: Figma AI plugins, Galileo, ChatGPT for design suggestions
- Contrast checking, keyboard navigation, and screen reader testing
- Frontend performance optimization: lazy loading, code splitting, image compression
Automated UI testing using AI: Generate test cases and simulate interactions
Part 4 - Modern Full-Stack Development with Microservices and Event-Driven Architecture
Module 1: Microservices Architecture
- Monolithic vs. Microservices
- Designing scalable microservices
- API gateways and service discovery
Module 2: Containerization with Docker
- Introduction to Docker (Images, Containers, Volumes, Networks)
- Building and deploying containerized applications
Module 3: Event-Driven Architecture with Kafka
- Introduction to Kafka & messaging systems
- Kafka producers, consumers, topics, and brokers
- Use cases of Kafka in microservices
Part 5 - Cloud Computing & Deployment
Module 1: Introduction to Cloud Computing
- What is cloud computing?
- Cloud service models: IaaS, PaaS, SaaS
Module 2: Cloud-Based Infrastructure & Services
- Virtual machines vs. Containers vs. Serverless computing
- Cloud storage options (S3, Blob Storage, Google Cloud Storage)
- Load balancing and auto-scaling for high availability
Module 3: Serverless Computing & Function as a Service (FaaS)
- What is serverless computing?
- Introduction to Google Cloud Functions
- Building event-driven applications using serverless
Module 4: Cloud-Based Application Deployment
- Deploying full-stack applications on Google App Engine
- Kubernetes (K8s) for container orchestration in cloud environments
- Using Terraform and Infrastructure as Code (IaC) for cloud automation
Module 5: CI/CD in the Cloud
- Setting up CI/CD pipelines with GitHub Actions, GitLab CI/CD
- Cloud-native CI/CD tools: Google Cloud Build
Module 6: Cloud Security & Best Practices
- Identity & Access Management (IAM)
- Role-Based Access Control (RBAC) & Multi-Factor Authentication (MFA)
- Secure API gateways & cloud encryption strategies
Module 7: Monitoring & Observability in the Cloud
- Logging & monitoring with Google Cloud Logging
- Real-time alerts & incident response strategies
- Cost monitoring & optimization
*Changes may apply