Full Stack Python Developer Roadmap: Next.js Frontend & Python Backend
A 6-month, hands-on curriculum guiding a beginner from core programming concepts to deploying a production-ready full-stack application with a Python/FastAPI backend and a Next.js/React frontend.
Start This Roadmap Free →Phase 1: Development Environment Setup & Tooling
- Install and Verify Python
Install Python 3.12+, Node.js 20 LTS, and Git; verify each tool runs from the terminal with correct versions.
- Configure VS Code with Python
Set up VS Code with the Python, Pylance, ESLint, Prettier, and Tailwind CSS IntelliSense extensions; configure editor settings for format-on-save and linting.
- Create and Manage Python Virtual
Create, activate, and deactivate a virtual environment using python -m venv; install packages with pip and generate a requirements.txt file.
- Initialize a Next.js Project with
Scaffold a Next.js 14+ app using create-next-app with TypeScript, ESLint, and Tailwind CSS; run the development server and verify the default page renders.
- Configure ESLint
Add and configure ESLint (Airbnb/Next.js config), Prettier, and Husky pre-commit hooks to enforce formatting and linting on commit.
- Set Up a FastAPI Project
Create a FastAPI project structure with a virtual environment; install FastAPI, Uvicorn, Pydantic, and pytest; run a minimal API endpoint and execute a passing test.
- Capstone
Initialize a monorepo-style Git repository containing both the Next.js frontend and FastAPI backend; configure .gitignore, README, and a root package.json for concurrent dev scripts; commit and push to a remote repositor
Phase 2: Python Fundamentals
- Setting Up the Python Development
Configure a Python development environment including VS Code, virtual environments, and Git integration tailored for a Full Stack Python Developer workflow with Next.js frontend.
- Python Syntax Essentials
Write Python code using variables, core data types (int, float, str, bool), and arithmetic/comparison operators to manipulate data.
- Control Flow Mastery
Implement conditional statements (if/elif/else) and loops (for, while) to control program execution flow in backend scripts.
- Data Structures for API Development
Select and manipulate appropriate built-in data structures (list, dict, set, tuple) to model and transform data for REST API payloads.
- Functions and Modular Code Design
Design and implement functions with parameters, return values, type hints, and docstrings to create reusable, testable backend modules.
- Error Handling
Implement structured exception handling (try/except/else/finally), logging configuration, and debugging techniques to build resilient backend services.
- Capstone
Develop a command-line task manager application that uses functions, data structures, error handling, and JSON file I/O to persist tasks between sessions.
Phase 3: Python Data Structures
- Managing Ordered Collections with Python
Implement list operations including indexing, slicing, appending, and removing elements to manage ordered data sequences.
- Storing Fixed Data with Python
Create and access tuple elements to represent immutable ordered collections, and explain when to choose tuples over lists.
- Mapping Keys to Values with
Implement dictionary operations including creation, key-based access, insertion, deletion, and iteration to store associative data.
- Handling Unique Elements with Python
Perform set operations such as union, intersection, difference, and membership testing to manage collections of unique items.
- Transforming Data with Comprehensions
Construct lists, dictionaries, and sets using comprehensions to apply transformations and filtering in a concise, readable syntax.
- Selecting Optimal Data Structures for
Evaluate time complexity and use-case fit of lists, tuples, dictionaries, and sets to choose the most efficient structure for a given backend scenario.
- Building a Contact Management CLI
Design and implement a command-line contact manager that uses lists, dictionaries, and sets to store, search, and modify contact records persistently.
Phase 4: Functions
- Defining and Calling Functions in
Implement a Python function that accepts parameters and returns a value to solve a specific calculation.
- Function Arguments
Implement a function utilizing positional arguments, keyword arguments, and default parameter values to handle flexible input scenarios.
- Variable Scope and the LEGB
Explain how Python resolves variable names using the LEGB rule (Local, Enclosing, Global, Built-in) within nested functions.
- Lambda Expressions and Functional Built-ins
Implement data transformations using lambda expressions combined with map, filter, and sorted built-in functions.
- Higher-Order Functions and Decorators
Implement a custom decorator function that modifies the behavior of other functions without changing their source code.
- Type Hinting and Docstrings for
Apply type hints and Google-style docstrings to a module of functions to enable static analysis and automatic documentation generation.
- Capstone
Design a documented, type-hinted Python utility module containing functions for data validation, serialization, and error handling to be used by the FastAPI backend.
Phase 5: Object-Oriented Programming with Python
- Designing Classes for Backend Domain
Design a Python class with attributes and methods that models a core backend entity such as a User or Product, following encapsulation principles.
- Implementing Inheritance for Shared Backend
Implement inheritance to create specialized model classes (e.g., AdminUser, PremiumProduct) that reuse and extend base class functionality.
- Applying Polymorphism in Request Handling
Apply polymorphism to write a single request handler function that processes different model types through a shared interface.
- Using Abstract Base Classes for
Define an abstract base class for a data repository to enforce a consistent interface across database implementations.
- Building a SQLAlchemy-Backed User Repository
Implement a concrete UserRepository class using SQLAlchemy that satisfies the abstract repository contract for CRUD operations.
- Creating a Pydantic Service Layer
Create a service class that uses Pydantic models to validate and serialize data between the API layer and repository layer.
- Capstone
Assemble a complete user management service by integrating domain models, repository, and service layers into a working module with full CRUD flows.
Phase 6: Project
- Design Full Stack Application Architecture
Design a complete system architecture diagram and normalized database schema for a full stack task management application with user authentication, real-time updates, and role-based access control
- Initialize Monorepo Structure with Turborepo
Initialize a Turborepo monorepo containing separate packages for Next.js frontend, FastAPI backend, shared TypeScript/Python types, and common UI components with proper build pipelines
- Implement Backend API with FastAPI
Implement a production-ready FastAPI backend with CRUD endpoints for tasks, projects, and users, including database migrations with Alembic, input validation with Pydantic, and comprehensive error handling
- Build Frontend Authentication Flow with
Build a complete authentication flow in Next.js using NextAuth.js with credentials provider, JWT session handling, protected routes middleware, and seamless integration with the FastAPI backend authentication endpoints
- Develop Real-Time Task Dashboard with
Develop a real-time collaborative task dashboard using Server-Sent Events (SSE) for live updates, optimistic UI updates with React Query, and WebSocket fallback for bidirectional communication
- Implement Comprehensive Testing Suite with
Implement a comprehensive testing suite including unit tests with pytest and Vitest, integration tests with Testcontainers, end-to-end tests with Playwright, and configure GitHub Actions CI/CD pipeline with automated dep
- Deploy Full Stack Application to
Deploy the complete full stack application to production using Docker containers on AWS ECS with RDS PostgreSQL, configure CloudFront CDN, set up application monitoring with Datadog, implement structured logging, and cre
Phase 7: Git Version Control & GitHub
- Initialize Git Repository for Full
Initialize a Git repository with a .gitignore tailored for a Python backend and Next.js frontend monorepo structure.
- Stage and Commit Changes with
Stage files selectively and write conventional commit messages (feat, fix, chore) for a full stack codebase.
- Configure GitHub Remote and Push
Create a GitHub repository, configure it as a remote, and push the initial commit including the monorepo structure.
- Create and Manage Feature Branches
Create, switch, and delete feature branches following a naming convention (feat/backend-api, feat/frontend-ui) for parallel development.
- Resolve Merge Conflicts in Python
Resolve merge conflicts arising from simultaneous edits to shared configuration files (e.g., package.json, requirements.txt) and code files using VS Code merge editor.
- Implement GitHub Flow with Pull
Open a pull request from a feature branch, request a review, address feedback with new commits, and merge using squash and merge strategy.
- Capstone
Configure branch protection rules, required status checks, and a GitHub Actions workflow file skeleton to enforce the GitHub Flow for the full stack project.
Phase 8: HTML5 Semantic Markup & Accessibility
- HTML5 Document Structure and Semantic
Construct a valid HTML5 document using semantic structural elements (header, nav, main, section, article, aside, footer) to replace generic divs for improved document outline and SEO.
- Semantic Text-Level Elements for Content
Apply semantic text-level elements (time, mark, cite, abbr, dfn, data, output) to convey precise meaning in content, enhancing machine readability and accessibility.
- Accessible Multimedia
Implement accessible images using alt decision trees, figure/figcaption for context, and native audio/video elements with captions, transcripts, and fallback strategies.
- ARIA Roles
Integrate ARIA roles (button, dialog, navigation, region), states (aria-expanded, aria-selected), and properties (aria-label, aria-controls, aria-live) to make custom interactive components accessible when native HTML is
- Accessible Form Design with Native
Build fully accessible forms using semantic fieldset/legend grouping, label association, native HTML5 validation attributes, and ARIA error messaging (aria-invalid, aria-describedby, role=alert) for screen reader announc
- Keyboard Navigation
Design logical tab order using tabindex, implement visible focus styles, create skip-to-main-content links, and manage focus trapping in modals to ensure full keyboard operability.
- Capstone
Build a responsive, WCAG 2.1 AA compliant portfolio page using semantic HTML5, ARIA-enhanced components, accessible forms, and keyboard navigation — structured as a Next.js 14 App Router page with proper metadata and ser
Phase 9: CSS3 Layout
- CSS Box Model and Display
Explain how the CSS box model, display values, and box-sizing interact to control element sizing and flow in a layout context.
- Flexbox Axis Control for Navigation
Implement a responsive navigation bar and card grid using Flexbox main-axis and cross-axis alignment properties.
- CSS Grid Template Areas for
Design a full-page layout (header, sidebar, main, footer) using CSS Grid named template areas and explicit grid tracks.
- Responsive Layouts with Fluid Units
Implement a mobile-first responsive layout using relative units (rem, %, vw), clamp(), and breakpoint media queries.
- CSS Custom Properties for Theming
Define and apply CSS custom properties for spacing, color, and breakpoint tokens to maintain consistent layout theming across components.
- Modern Layout Patterns
Evaluate and implement container queries and CSS Subgrid to solve component-level responsiveness and nested grid alignment challenges.
- Capstone
Build a production-ready responsive dashboard layout using CSS Grid, Flexbox, custom properties, and container queries, integrated into a Next.js App Router page structure.
Phase 10: JavaScript Essentials
- JavaScript Fundamentals
Write JavaScript code using let, const, primitive types, and conditional logic to solve basic computational problems.
- Functions and Scope
Implement reusable functions using declarations, expressions, and arrow syntax while correctly managing block and function scope.
- Data Structures
Manipulate arrays and objects using modern methods (map, filter, reduce, destructuring) to transform and query data collections.
- DOM Interaction
Select DOM elements, attach event listeners, and dynamically update page content in response to user interactions.
- Asynchronous JavaScript
Implement asynchronous operations using Promises and async/await to fetch data from REST APIs and handle responses or errors.
- ES6+ Modules and Tooling
Organize code using ES6 modules, configure a basic build pipeline with a bundler, and transpile modern syntax for browser compatibility.
- Capstone
Build a single-page dashboard that consumes a public REST API, displays dynamic data visualizations, and handles loading/error states using vanilla JavaScript modules.
Phase 11: TypeScript Fundamentals
- Setting Up TypeScript Tooling for
Configure a TypeScript-enabled Next.js project with strict compiler options and ESLint integration
- Applying Type Annotations to Variables
Add explicit type annotations to variables, function parameters, and return values to catch type errors at compile time
- Defining Interfaces and Type Aliases
Create reusable interfaces and type aliases to model API responses, component props, and application state
- Implementing Union and Intersection Types
Combine types using unions and intersections to represent complex data structures like discriminated unions and composed props
- Using Generics to Build Reusable
Write generic functions, interfaces, and React components that work across multiple types while preserving type safety
- Typing Asynchronous Operations and API
Apply TypeScript types to async/await patterns, Promise chains, and fetch calls for type-safe data fetching from Python backend APIs
- Building a Type-Safe Next.js Feature
Construct a complete Next.js feature (e.g., user dashboard) using interfaces, generics, and typed API calls that integrate with a Python FastAPI backend
Phase 12: React Core
- React Component Architecture for Python
Explain the role of React components in a Next.js frontend architecture that consumes Python FastAPI/Flask REST APIs
- JSX Rendering with Dynamic Data
Implement JSX components that render lists and conditional UI using data fetched from Python backend endpoints
- State Management with useState for
Implement controlled form components using useState to capture and validate user input before submitting to Python API endpoints
- Side Effects and Data Fetching
Implement useEffect hooks to fetch data from Python REST APIs on component mount and handle loading, error, and success states
- Component Composition and Props Drilling
Design reusable presentational components that receive data and callbacks via props to build a dashboard consuming multiple Python API resources
- React Hooks Best Practices and
Create a custom useApi hook that encapsulates fetch logic, error handling, and caching for consistent Python backend communication across components
- Capstone
Build a complete React dashboard featuring CRUD operations, real-time state updates, and error boundaries that integrates with a Python FastAPI backend
Phase 13: Project
- Initialize Full Stack Project Repository
Configure a Turborepo monorepo containing separate Next.js frontend and FastAPI backend packages with shared TypeScript/Python type definitions.
- Design Database Schema and Configure
Create normalized PostgreSQL tables using SQLAlchemy 2.0 async ORM for users, projects, tasks, and comments with proper indexes and foreign keys.
- Implement JWT Authentication with Refresh
Build secure authentication endpoints including register, login, access/refresh token issuance, rotation, and revocation using python-jose and passlib.
- Develop Real-Time Task Updates with
Implement bidirectional WebSocket communication in FastAPI using redis-py for pub/sub to broadcast task changes instantly to connected Next.js clients.
- Build Collaborative Project Dashboard with
Construct a Next.js dashboard using React Server Components for initial data fetching and SWR for real-time optimistic updates synchronized with WebSocket events.
- Implement Role-Based Access Control for
Enforce owner, admin, member, and viewer permissions on projects and tasks using FastAPI dependency injection and Next.js middleware for route protection.
- Capstone
Configure GitHub Actions pipelines to build, test, and deploy the monorepo to Vercel (frontend) and Fly.io (backend) with PostgreSQL, Redis, and environment secrets management.
Phase 14: Next.js Fundamentals
- Next.js Project Setup with TypeScript
Initialize a Next.js 14 project using the App Router with TypeScript and ESLint configured for a full-stack Python backend integration.
- Routing and Navigation with App
Implement file-system based routing using the Next.js App Router including dynamic routes, layout nesting, and client-side navigation with the Link component.
- Server Components and Data Fetching
Distinguish between Server and Client Components and implement server-side data fetching using async/await in Server Components for backend API consumption.
- Client Components and Interactive UI
Create interactive UI elements using Client Components with React hooks (useState, useEffect) for browser-specific APIs and user interactions.
- API Routes for Backend Communication
Implement Next.js API Routes (Route Handlers) to proxy requests to the Python backend, handling authentication headers and error responses.
- Authentication Integration with NextAuth.js
Configure NextAuth.js with a credentials provider to authenticate against the Python backend JWT API and protect routes using middleware.
- Capstone
Build a protected dashboard page that fetches user-specific data from the Python backend via Next.js API Routes, using Server Components for initial load and Client Components for real-time updates.
Phase 15: Next.js Data Fetching
- Server Components and the Data
Explain how React Server Components change the data fetching paradigm compared to client-side fetching in traditional SPAs.
- Fetching Data in Server Components
Implement direct data fetching inside a Server Component using native async/await and the extended fetch API.
- Configuring Cache Behavior
Compare and apply 'force-cache' and 'no-store' fetch options to control caching behavior for specific data requirements.
- Implementing Time-Based Revalidation with next.revalidate
Implement Incremental Static Regeneration (ISR) using the 'next.revalidate' option to update stale data on a timer.
- On-Demand Revalidation via API Routes
Design an API Route that triggers 'revalidatePath' or 'revalidateTag' to purge the Next.js cache immediately after a Python backend mutation.
- Parallel vs Sequential Data Fetching
Optimize page load performance by implementing parallel data fetching with Promise.all versus sequential waterfall patterns.
- Capstone
Build a dashboard page that fetches aggregated data from the Python backend, implements tag-based caching, and supports instant cache invalidation after mutations.
Phase 16: Styling Next.js with Tailwind CSS
- Integrating Tailwind CSS into a
Configure Tailwind CSS in a Next.js application using the official PostCSS plugin and verify the setup compiles utility classes correctly.
- Applying Utility-First Styling to Layout
Implement responsive layout structures using Tailwind's flexbox, grid, and spacing utilities within Next.js layout components.
- Styling Navigation and Header Components
Design a responsive navigation bar with mobile hamburger menu using Tailwind's utility classes and Next.js Link component.
- Creating Consistent UI Components with
Build reusable button, card, and form input components leveraging Tailwind's color palette, typography scale, and shadow system.
- Implementing Dark Mode Support with
Configure Tailwind's dark mode strategy and implement a theme toggle using Next.js context and localStorage persistence.
- Optimizing Tailwind CSS for Production
Configure content paths for tree-shaking, enable JIT compilation, and analyze bundle size to ensure minimal CSS output in production.
- Capstone
Assemble a responsive admin dashboard layout with sidebar navigation, data tables, and theme switching using all Tailwind techniques learned in this phase.
Phase 17: Project
- Design Full Stack Architecture for
Design a complete system architecture document specifying frontend components, backend API endpoints, database schema, and authentication flow for a full stack task management application.
- Initialize Monorepo Structure with Next.js
Initialize a monorepo structure using Turborepo containing a Next.js frontend workspace and a FastAPI backend workspace with shared TypeScript/Python type definitions.
- Implement Backend API with CRUD
Implement a complete FastAPI backend with Pydantic validation, SQLModel database models, and CRUD endpoints for tasks, projects, and users including pagination and filtering.
- Build Authentication Flow with NextAuth.js
Build a complete authentication flow in Next.js using NextAuth.js with credentials provider, JWT token management, protected routes, and seamless integration with the FastAPI backend authentication system.
- Develop Frontend Dashboard with Real-time
Develop a responsive dashboard frontend with project boards, task cards, drag-and-drop functionality using @dnd-kit, optimistic UI updates, and real-time synchronization with the FastAPI backend.
- Implement Comprehensive Testing Strategy for
Implement a comprehensive testing strategy including unit tests with pytest for FastAPI, component tests with React Testing Library, integration tests for API endpoints, and end-to-end tests with Playwright covering crit
- Deploy Full Stack Application to
Deploy the complete full stack application to production using Docker containers, configure GitHub Actions CI/CD pipeline with automated testing, staging deployment, and production deployment to Vercel (frontend) and Rai
Phase 18: Relational Database Design & PostgreSQL
- Designing Relational Schemas for Full
Design a normalized relational schema with primary keys, foreign keys, and constraints that models the core entities of a full stack Python/Next.js application.
- Setting Up PostgreSQL Locally and
Install and configure a PostgreSQL instance using Docker Compose with persistent volumes, and connect to it using psql and a GUI client.
- Writing Advanced SQL Queries for
Write complex SELECT queries using JOINs, subqueries, CTEs, window functions, and aggregations to retrieve application data efficiently.
- Implementing Database Migrations with Alembic
Configure Alembic for version-controlled schema migrations, generate migration scripts from SQLAlchemy models, and apply/rollback migrations safely.
- Integrating SQLAlchemy ORM with FastAPI
Define SQLAlchemy declarative models matching the relational schema, configure async session management, and implement CRUD operations in FastAPI route handlers.
- Optimizing Database Performance with Indexing
Analyze query execution plans using EXPLAIN ANALYZE, create appropriate B-tree and partial indexes, and identify N+1 query problems in ORM usage.
- Capstone
Implement a complete, production-ready data layer including schema design, migrations, ORM models, optimized queries, and API endpoints for a multi-entity feature (e.g., project/task management) consumed by a Next.js fro
Phase 19: SQL Mastery
- Relational Database Fundamentals and Schema
Design a normalized relational schema for a full-stack application using primary keys, foreign keys, and appropriate data types to enforce data integrity.
- Querying Data with SELECT
Construct SELECT queries with WHERE, ORDER BY, and LIMIT clauses to retrieve and sort specific datasets from a PostgreSQL database.
- Aggregating and Grouping Data for
Apply aggregate functions (COUNT, SUM, AVG) with GROUP BY and HAVING to generate summary statistics for dashboard visualizations.
- Joining Multiple Tables to Resolve
Implement INNER, LEFT, and RIGHT JOINs to combine related data across normalized tables for complex query results.
- Integrating PostgreSQL with FastAPI Using
Configure SQLAlchemy models and async sessions to perform CRUD operations against PostgreSQL within a FastAPI backend.
- Implementing Database Migrations with Alembic
Generate and apply version-controlled migration scripts using Alembic to manage schema changes without data loss.
- Capstone
Develop a complete full-stack task management feature integrating Next.js frontend, FastAPI backend, and PostgreSQL database with migrations, demonstrating end-to-end data persistence.
Phase 20: Python Async Programming & AsyncIO
- Understanding Concurrency Models for Python
Explain the differences between synchronous, threaded, multiprocessing, and asynchronous concurrency models in the context of I/O-bound backend tasks.
- Mastering AsyncIO Event Loop and
Implement basic coroutines using async/await syntax and control execution flow with the AsyncIO event loop.
- Building Concurrent HTTP Clients with
Implement high-performance concurrent HTTP requests using aiohttp to integrate external APIs in a non-blocking manner.
- Designing Async Database Access with
Design non-blocking database operations using asyncpg and SQLAlchemy's async engine for PostgreSQL-backed services.
- Implementing Real-Time WebSocket Communication with
Implement bidirectional real-time communication between Python backend and Next.js frontend using FastAPI WebSockets.
- Orchestrating Background Tasks and Scheduled
Implement reliable background task processing and cron-like scheduling using AsyncIO tasks and task groups.
- Capstone
Design and implement a full-stack real-time dashboard featuring live data updates, WebSocket notifications, and async API aggregation for a Next.js frontend.
Phase 21: FastAPI Foundation
- Initialize FastAPI Project with Pydantic
Create a new FastAPI project structure using Poetry for dependency management and implement type-safe configuration via Pydantic BaseSettings with environment variable support.
- Build Async CRUD Endpoints with
Implement asynchronous CRUD endpoints for a resource using FastAPI routers, Pydantic models for request/response validation, and proper HTTP status codes.
- Integrate SQLAlchemy Async ORM with
Configure SQLAlchemy async engine and sessionmaker, then create a FastAPI dependency to provide scoped database sessions per request with automatic cleanup.
- Implement Repository Pattern for Data
Design and implement a generic repository interface and concrete SQLAlchemy implementation to decouple business logic from database operations.
- Add Structured Logging and Custom
Configure structlog for JSON-structured logging with request correlation IDs and implement global exception handlers for HTTPException, validation errors, and unhandled exceptions.
- Write Integration Tests with Pytest
Create integration tests for API endpoints using FastAPI TestClient, pytest fixtures for database setup/teardown, and Testcontainers to spin up a real PostgreSQL instance per test session.
- Capstone
Assemble a complete, versioned FastAPI application with modular routers, health check endpoints, organized OpenAPI tags, and generated API documentation — ready for frontend integration.
Phase 22: Database Integration with SQLModel &
- Setting Up SQLModel with AsyncPostgreSQL
Configure a SQLModel engine and session dependency using asyncpg for PostgreSQL in a FastAPI application.
- Defining SQLModel Models with Relationships
Create SQLModel classes representing tables with primary keys, foreign keys, indexes, and bidirectional relationships.
- Implementing Database Migrations with Alembic
Initialize Alembic, generate migration scripts from SQLModel metadata, and apply migrations to a PostgreSQL database.
- Performing CRUD Operations with SQLModel
Implement create, read, update, and delete operations using SQLModel's session API with proper error handling.
- Optimizing Queries with Select Statements
Write efficient SQLModel select queries using joins, filtering, sorting, and pagination to retrieve related data.
- Handling Concurrency and Transactions in
Implement database transactions with rollback logic and handle concurrent access using optimistic locking in API endpoints.
- Capstone
Develop a complete FastAPI service with SQLModel-backed PostgreSQL storage, migrations, relationships, and transaction-safe endpoints for tasks and users.
Phase 23: Authentication & Authorization
- Implement User Registration with Password
Implement a secure user registration endpoint in FastAPI that validates input, hashes passwords using bcrypt, and stores credentials in PostgreSQL via SQLAlchemy.
- Create JWT Token Generation and
Create reusable utility functions to generate and verify JWT access tokens using PyJWT with configurable expiration and secret management via environment variables.
- Build Secure Login Endpoint Returning
Build a login endpoint that authenticates users, issues a signed JWT, and sets it in an HttpOnly, Secure, SameSite=Strict cookie for XSS-resistant session management.
- Implement Role-Based Access Control with
Implement a reusable FastAPI dependency that extracts the current user from the JWT cookie and enforces role-based access control (e.g., admin, user) on protected routes.
- Integrate Next.js Authentication Context with
Integrate a React Context in Next.js to manage authentication state by calling backend APIs, handling HttpOnly cookie limitations, and persisting user session across page reloads.
- Protect Next.js Pages and API
Protect Next.js pages and API routes using middleware and server-side checks that redirect unauthorized users and enforce role-based visibility of UI components.
- Capstone
Build a complete full-stack authentication system featuring user registration, secure login with HttpOnly cookies, JWT validation, role-based route protection, and a role-gated dashboard in Next.js backed by FastAPI.
Phase 24: Building RESTful APIs
- REST Architectural Principles and Resource
Explain the six REST architectural constraints and design resource-oriented endpoints for a full stack application using nouns and HTTP verbs.
- Implementing CRUD Endpoints with Flask-RESTful
Implement a complete set of CRUD endpoints for a resource using Flask-RESTful, including request parsing and response formatting.
- Request Validation and Error Handling
Implement input validation using Marshmallow schemas and design consistent error response formats with appropriate HTTP status codes.
- API Versioning and Documentation with
Implement URL-based API versioning and generate interactive API documentation using Flasgger and OpenAPI 3.0 specifications.
- Securing REST APIs with JWT
Implement stateless authentication using JSON Web Tokens and enforce role-based access control on protected endpoints.
- Optimizing API Performance with Pagination
Implement cursor-based pagination, dynamic filtering, and Redis caching strategies to optimize API response times for large datasets.
- Capstone
Design and implement a complete, documented, secured, and performant REST API for a task management system integrating all RESTful principles learned in this phase.
Phase 25: Automated Testing
- Testing Fundamentals and Strategy for
Explain the testing pyramid and classify test types (unit, integration, end-to-end) for a Python/Next.js stack to define a balanced testing strategy.
- Unit Testing Python Backend Logic
Implement unit tests for FastAPI service-layer functions and Pydantic schemas using Pytest fixtures and parameterization to verify business logic in isolation.
- Testing FastAPI Endpoints with TestClient
Implement integration tests for FastAPI routers using TestClient and dependency overrides to simulate database interactions and authentication without a running server.
- Unit Testing Next.js Components with
Implement unit tests for React components (including Server Components) using Vitest and React Testing Library to verify rendering, user interactions, and conditional logic.
- Mocking API Calls and Testing
Implement tests for custom React Query hooks and API service layers using Mock Service Worker (MSW) to simulate backend responses and verify client-side state mutations.
- End-to-End Testing Critical User Flows
Implement end-to-end tests using Playwright to automate browser interactions for the authentication flow and task CRUD operations across the deployed Next.js and FastAPI stack.
- Capstone
Design a GitHub Actions workflow that runs the full test suite (backend, frontend, e2e), enforces minimum code coverage thresholds, and publishes test reports as build artifacts.
Phase 26: Project
- Architect the Full-Stack Project Structure
Design a monorepo layout using Turborepo that separates Next.js frontend, FastAPI backend, and shared TypeScript/Python type definitions to enable end-to-end type safety.
- Implement Shared Type Contracts Between
Generate TypeScript interfaces from Pydantic models using pydantic2ts to enforce compile-time API contract validation across the stack.
- Build Real-Time Collaborative Task Board
Implement a Kanban board featuring drag-and-drop (dnd-kit), optimistic UI updates, and WebSocket synchronization (Socket.io) for multi-user real-time collaboration.
- Integrate Third-Party OAuth Providers and
Add GitHub and Google OAuth via NextAuth.js (frontend) and Authlib (backend), implementing secure HTTP-only cookie sessions with CSRF protection and token refresh rotation.
- Implement Comprehensive Testing Strategy Across
Configure Vitest/React Testing Library for frontend unit/integration tests, Pytest/Pytest-Asyncio for backend API/contract tests, and Playwright for critical-path E2E tests running in CI.
- Configure Production CI/CD Pipeline with
Author GitHub Actions workflows that build Docker images, run full test suites, scan for vulnerabilities (Trivy), and deploy to Kubernetes (EKS/GKE) using Argo Rollouts for zero-downtime blue-green deployments.
- Capstone
Deploy the complete application to a cloud environment, configure observability (OpenTelemetry, Prometheus, Grafana, Loki), set up alerting for SLOs, and conduct a post-launch retrospective documenting architecture decis
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