Laxman MaharjanLaxman Maharjan

Contents

about-me
Login

30-Day Python Backend Course

A structured 30-day learning path covering Python, FastAPI, PostgreSQL, authentication, testing, and deployment.

📅 9/26/2025
🏷️
pythonfastapipostgresqlbackendcoursestudy-plan

30-Day Backend Engineering Curriculum: Python, FastAPI & PostgreSQL

Table of Contents

Course Overview

This 30-day backend engineering course takes you from Python basics to deploying a full-featured SaaS API built with FastAPI and PostgreSQL. Throughout the course, you'll progressively build a TaskMaster API — a task management system with user authentication, task organization, sharing capabilities, notifications, and analytics.

Each day includes:

  • Clear learning objectives
  • Theoretical foundations
  • Hands-on exercises
  • Mini-project components that build into the final capstone
  • Curated resources for further exploration

By the end of the course, you will have developed and deployed a professional-grade backend API and gained the skills needed for backend engineering roles.

Week 1: Python Fundamentals & Web Basics

Day 1: Python Basics

Topic

Introduction to Python programming language and development environment setup.

Learning Objectives

  • Set up a Python development environment
  • Understand Python syntax and basic programming concepts
  • Write and execute simple Python scripts
  • Use Python's interactive shell for experimentation

Hands-on Tasks

  1. Install Python 3.10+ and set up a virtual environment
  2. Create a simple "Hello, Backend Developer!" program
  3. Experiment with variables, basic data types, and operators
  4. Write a script that takes user input and performs basic calculations
  5. TaskMaster Mini-Project: Create the initial project structure and Git repository

Tasks:

  1. Install Python 3.12+ and configure VS Code with Python extension
  2. Create a CLI calculator handling +, -, *, /
  3. Write a script that categorizes numbers as even/odd

Curated Resources

Resources:

Day 2: Python Data Structures

Topic

Deep dive into Python's core data structures.

Learning Objectives

  • Master working with lists, tuples, dictionaries, and sets
  • Understand when to use each data structure
  • Perform common operations and transformations
  • Apply data structures to solve practical problems

Hands-on Tasks

  1. Create a program that manages a collection of tasks using lists
  2. Implement a contact book using dictionaries
  3. Use sets to find common elements between task categories
  4. Convert between different data structures and explore their methods
  5. TaskMaster Mini-Project: Create data models for tasks and users (using dictionaries)

Tasks:

  1. Build a contact book using dictionaries (name ➔ phone/email)
  2. Create a CSV parser converting data to list of dicts
  3. Filter even numbers from a list using comprehension

Curated Resources

Resources:

Day 3: Functions and Modules

Topic

Creating reusable code with functions and organizing code with modules.

Learning Objectives

  • Define and call functions with various parameter types
  • Understand scope, default arguments, and return values
  • Create and import modules and packages
  • Use built-in modules from the Python standard library

Hands-on Tasks

  1. Create a utility module with functions for common task operations
  2. Implement functions with positional, keyword, and default arguments
  3. Use lambda functions and higher-order functions (map, filter, reduce)
  4. Explore useful standard library modules like datetime, random, and json
  5. TaskMaster Mini-Project: Create modules for task management functions

Tasks:

  1. Convert Day 2’s contact book into a module
  2. Build a math_operations.py module with add/subtract functions
  3. Create a CLI menu system using functions

Curated Resources

Resources:

Day 4: Object-Oriented Programming

Topic

Python's implementation of Object-Oriented Programming (OOP).

Learning Objectives

  • Understand OOP concepts: classes, objects, inheritance, and polymorphism
  • Create classes with attributes and methods
  • Implement inheritance hierarchies
  • Use special methods (dunder methods) for customizing behavior

Hands-on Tasks

  1. Create a Task class with attributes and methods
  2. Implement a User class that manages a collection of tasks
  3. Create subclasses for different task types (e.g., RecurringTask, PriorityTask)
  4. Implement special methods like __str__, __repr__, and __eq__
  5. TaskMaster Mini-Project: Refactor your task management code to use OOP principles

Tasks:

  1. Create a Task class with title, description, status
  2. Build an User class inheriting from a base Person class
  3. Implement getter/setter methods for sensitive data

Curated Resources

Resources:

Day 5: Error Handling and File I/O

Topic

Managing exceptions and working with files in Python.

Learning Objectives

  • Implement try-except blocks for error handling
  • Work with file operations (read, write, append)
  • Use context managers for resource management
  • Understand JSON serialization and deserialization

Hands-on Tasks

  1. Implement error handling for common task management operations
  2. Create a file-based storage system for tasks using JSON
  3. Implement loading and saving task data to files
  4. Use context managers to ensure proper file handling
  5. TaskMaster Mini-Project: Add persistent storage to your task management system

Tasks:

  1. Add error handling to Day 1’s calculator for division by zero
  2. Create a ValidationError for invalid task statuses
  3. Write a file reader that handles FileNotFoundError

Curated Resources

Resources:

Day 6: HTTP Protocol & Web Fundamentals

Topic

Understanding the HTTP protocol and web communication basics.

Learning Objectives

  • Understand HTTP request-response cycle
  • Learn about HTTP methods, status codes, and headers
  • Explore RESTful communication patterns
  • Make HTTP requests using Python's requests library

Tasks:

  1. Fetch weather data from OpenWeatherMap API
  2. Build a CLI tool showing Bitcoin price using CoinGecko API
  3. Save API responses to JSON files

Hands-on Tasks

  1. Use the requests library to interact with a public API
  2. Analyze HTTP requests and responses using a tool like Postman
  3. Implement a simple command-line client for a REST API
  4. Create a basic HTTP server using Python's http.server module
  5. TaskMaster Mini-Project: Design the HTTP interface for your task management API

Curated Resources

Resources:

Day 7: REST API Design Principles

Topic

Principles and best practices for designing RESTful APIs.

Learning Objectives

  • Understand REST architectural principles
  • Design resource-based URLs
  • Choose appropriate HTTP methods for operations
  • Plan API versioning, error handling, and documentation

Hands-on Tasks

  1. Design a RESTful API for a task management system
  2. Create a comprehensive API specification document
  3. Map CRUD operations to appropriate HTTP methods
  4. Plan authentication endpoints and strategies
  5. TaskMaster Mini-Project: Complete the API design document for your project

Tasks:

  1. Design routes for Capstone Task Manager (e.g., GET /tasks)
  2. Document API spec using OpenAPI
  3. Mock endpoints with Postman

Curated Resources

Resources:

Week 2: FastAPI Foundations

Day 8: Introduction to FastAPI

Topic

Getting started with FastAPI and building your first API endpoints.

Learning Objectives

  • Understand FastAPI's key features and advantages
  • Set up a FastAPI project with proper structure
  • Create and run a basic FastAPI application
  • Implement your first API endpoints

Hands-on Tasks

  1. Install FastAPI and Uvicorn
  2. Create a "Hello World" FastAPI application
  3. Implement basic GET and POST endpoints
  4. Explore the automatic API documentation
  5. TaskMaster Mini-Project: Set up the initial FastAPI application for TaskMaster

Tasks:

  1. Initialize project with pip install fastapi[all]
  2. Build /tasks endpoint returning mock data
  3. Explore auto-generated Swagger UI at /docs

Curated Resources

Resources:

Day 9: Path and Query Parameters

Topic

Working with path parameters, query parameters, and request validation in FastAPI.

Learning Objectives

  • Define and use path parameters in routes
  • Implement query parameters with validation
  • Apply type hints for automatic validation
  • Use Enum classes for parameter validation

Hands-on Tasks

  1. Create endpoints with path parameters for resource identification
  2. Implement search functionality using query parameters
  3. Add validation for parameters (min/max values, regex patterns)
  4. Create enum-based filtering for task status and priorities
  5. TaskMaster Mini-Project: Implement task listing and detail endpoints with parameters

Tasks:

  1. Add GET /tasks/{task_id} endpoint
  2. Implement filtering tasks by status (GET /tasks?status=done)
  3. Add pagination using skip and limit parameters

Curated Resources

Resources:

Day 10: Request Body and Validation with Pydantic

Topic

Using Pydantic models for request body validation and data handling.

Learning Objectives

  • Create Pydantic models for data validation
  • Implement nested models and complex validation rules
  • Handle request bodies in FastAPI endpoints
  • Use Pydantic for data parsing and serialization

Hands-on Tasks

  1. Create Pydantic models for tasks and users
  2. Implement validation rules and field constraints
  3. Create API endpoints that accept and validate request bodies
  4. Use Pydantic's features for data transformation
  5. TaskMaster Mini-Project: Implement task creation and update endpoints with Pydantic validation

Tasks:

  1. Create TaskCreate and TaskUpdate Pydantic models
  2. Add validation for task status (e.g., "todo", "in-progress", "done")
  3. Return descriptive error messages for invalid inputs

Curated Resources

Resources:

Day 11: Response Models and Status Codes

Topic

Managing API responses with response models, status codes, and headers.

Learning Objectives

  • Define response models using Pydantic
  • Set appropriate HTTP status codes
  • Return custom headers and cookies
  • Handle different response scenarios

Hands-on Tasks

  1. Create response models for different API operations
  2. Implement proper status codes for various scenarios
  3. Add pagination metadata to list responses
  4. Create error response models and handlers
  5. TaskMaster Mini-Project: Implement consistent response handling across endpoints

Tasks:

  1. Create TaskResponse model excluding internal fields
  2. Add response examples in Swagger UI
  3. Implement custom JSON encoders for datetime

Curated Resources

Resources:

Day 12: Dependency Injection System

Topic

Using FastAPI's dependency injection system for code reuse and separation of concerns.

Learning Objectives

  • Understand dependency injection principles
  • Create and use dependencies in FastAPI
  • Implement path and query parameter dependencies
  • Create dependencies for authentication and authorization

Hands-on Tasks

  1. Create a database session dependency
  2. Implement pagination as a reusable dependency
  3. Create a dependency for getting the current user
  4. Build a permission checking dependency
  5. TaskMaster Mini-Project: Add authentication and database dependencies to your API

Tasks:

  1. Create a get_db dependency simulating database connection
  2. Implement API key authentication using dependencies
  3. Build a pagination dependency

Curated Resources

Resources:

Day 13: Asynchronous Programming

Topic

Understanding and implementing asynchronous programming in FastAPI.

Learning Objectives

  • Understand asynchronous programming concepts
  • Use async/await syntax in Python
  • Create asynchronous API endpoints
  • Work with asynchronous database operations

Hands-on Tasks

  1. Convert synchronous endpoints to asynchronous
  2. Implement concurrent API requests
  3. Use asynchronous libraries for external API calls
  4. Measure performance improvements with async operations
  5. TaskMaster Mini-Project: Implement async endpoints for task operations

Tasks:

  1. Convert a sync endpoint to async
  2. Simulate long-running task with asyncio.sleep()
  3. Compare performance with ab or httpx benchmarking

Curated Resources

Resources:

Day 14: FastAPI Project Structure & Routers

Topic

Organizing FastAPI applications with routers and proper project structure.

Learning Objectives

  • Structure a FastAPI application for maintainability
  • Use APIRouter for route organization
  • Implement route prefixes and dependencies
  • Create a modular, scalable project structure

Hands-on Tasks

  1. Refactor your application using multiple routers
  2. Set up a proper project directory structure
  3. Implement shared dependencies across routers
  4. Create a configuration management system
  5. TaskMaster Mini-Project: Restructure your TaskMaster API with proper organization

Curated Resources

Note: File Uploads: Ask them to see on their own

Day 14: File Uploads

Objectives:

  • Handle file uploads and downloads

Tasks:

  1. Add endpoint for uploading task attachments
  2. Validate file types (PDF/PNG only)
  3. Implement GET /files/{filename} to download files

Resources:

Week 3: Database Integration with PostgreSQL

Day 15: PostgreSQL Basics & SQL Fundamentals

Topic

Introduction to PostgreSQL and fundamental SQL operations.

Learning Objectives

  • Set up PostgreSQL for local development
  • Understand relational database concepts
  • Write basic SQL queries (SELECT, INSERT, UPDATE, DELETE)
  • Create database tables with proper relationships

Hands-on Tasks

  1. Install and configure PostgreSQL
  2. Design and create tables for users and tasks
  3. Write SQL queries for basic CRUD operations
  4. Implement database relationships (foreign keys)
  5. TaskMaster Mini-Project: Design and implement the initial database schema

Tasks:

  1. Install PostgreSQL locally or use Docker
  2. Create task_manager database and user
  3. Execute raw SQL via psql CLI

Curated Resources

Resources:

Day 16: Database Schema Design

Topic

Designing efficient database schemas for applications.

Learning Objectives

  • Apply database normalization principles
  • Design one-to-many and many-to-many relationships
  • Choose appropriate data types and constraints
  • Implement indexes for query optimization

Hands-on Tasks

  1. Design a comprehensive schema for the TaskMaster application
  2. Implement advanced PostgreSQL features (JSONB, arrays)
  3. Add proper constraints and indexes
  4. Create entity-relationship diagrams
  5. TaskMaster Mini-Project: Enhance your database schema with additional tables and relationships

Curated Resources

Day 17: SQLAlchemy ORM Basics

Topic

Introduction to SQLAlchemy ORM for Python database interactions.

Learning Objectives

  • Understand the Object-Relational Mapping (ORM) concept
  • Set up SQLAlchemy in a FastAPI application
  • Create database models with relationships
  • Perform basic CRUD operations with SQLAlchemy

Hands-on Tasks

  1. Configure SQLAlchemy in your FastAPI application
  2. Create SQLAlchemy models for users and tasks
  3. Implement database session management
  4. Convert your raw SQL operations to SQLAlchemy
  5. TaskMaster Mini-Project: Implement database models and basic operations

Tasks:

  1. Define Task and User SQLAlchemy models
  2. Create database session factory
  3. Perform CRUD operations via ORM

Curated Resources

Resources:

Day 18: Advanced SQLAlchemy and Database Operations

Topic

Advanced SQLAlchemy features and complex database operations.

Learning Objectives

  • Write complex queries with SQLAlchemy
  • Implement eager loading for related objects
  • Use transactions and savepoints
  • Optimize database access patterns

Hands-on Tasks

  1. Implement complex filtering and sorting
  2. Use SQLAlchemy's relationship loading strategies
  3. Create advanced queries with joins and aggregations
  4. Implement transaction management
  5. TaskMaster Mini-Project: Add advanced database operations for task management

Tasks:

  1. Add User.tasks relationship (one-to-many)
  2. Create Tag model with many-to-many tasks relationship
  3. Write query to fetch tasks with their tags

Curated Resources

Resources:

Note: Advanced Queries: Ask them to see on their own

Day 18: Advanced Queries

Objectives:

  • Use joins, aggregates, and subqueries

Tasks:

  1. Write query to count tasks per user
  2. Implement search across task titles/descriptions
  3. Optimize query using SQLAlchemy’s selectinload

Resources:

Day 19: Database Migrations with Alembic

Topic

Managing database schema changes with Alembic.

Learning Objectives

  • Understand database migration concepts
  • Set up Alembic in a FastAPI application
  • Create and run migrations
  • Implement data migrations

Hands-on Tasks

  1. Set up Alembic in your project
  2. Create an initial migration for your schema
  3. Implement a schema change migration
  4. Create a data migration script
  5. TaskMaster Mini-Project: Set up a complete migration system for your application

Tasks:

  1. Initialize Alembic in project
  2. Generate migration for adding due_date to tasks
  3. Rollback and reapply migrations

Curated Resources

Resources:

Day 20: Transactions & ACID

Objectives:

  • Handle database transactions safely

Tasks:

  1. Create atomic operations for task assignment
  2. Handle deadlocks with retry logic
  3. Test rollback scenarios

Resources:

FastAPI with SQLModel is optional, Ask them to see on their own

Day 20: FastAPI with SQLModel

Topic

Using SQLModel to integrate FastAPI and SQLAlchemy seamlessly.

Learning Objectives

  • Understand the benefits of SQLModel
  • Create models that work as both Pydantic and SQLAlchemy models
  • Reduce code duplication between API and database layers
  • Implement type-safe database operations

Hands-on Tasks

  1. Convert your models from SQLAlchemy to SQLModel
  2. Implement CRUD operations with SQLModel
  3. Create helper functions for common database operations
  4. Add validation to your database models
  5. TaskMaster Mini-Project: Refactor your application to use SQLModel

Curated Resources

Day 21: Database Performance and Optimization

Topic

Optimizing database performance in PostgreSQL and SQLAlchemy.

Learning Objectives

  • Understand database performance fundamentals
  • Use indexing strategies effectively
  • Write efficient queries
  • Implement database connection pooling

Hands-on Tasks

  1. Analyze and optimize slow queries
  2. Implement proper indexing for your tables
  3. Use SQLAlchemy's query optimization features
  4. Configure connection pooling
  5. TaskMaster Mini-Project: Performance optimization for your database operations

Curated Resources

Note: Full-text search, Ask them to see on their own

Day 21: Full-Text Search

Objectives:

  • Implement search using PostgreSQL TSVECTOR

Tasks:

  1. Add search_vector column to tasks
  2. Create trigger to update search index on changes
  3. Build /tasks/search?q=term endpoint

Resources:

Week 4: Advanced Backend Features

Day 22: Authentication Basics — JWT Implementation

Topic

Implementing JWT-based authentication in FastAPI.

Learning Objectives

  • Understand authentication and authorization concepts
  • Implement secure password handling
  • Create JWT token generation and validation
  • Set up protected routes in FastAPI

Hands-on Tasks

  1. Implement user registration and login endpoints
  2. Create secure password hashing with passlib
  3. Implement JWT token generation and validation
  4. Set up protected routes using dependencies
  5. TaskMaster Mini-Project: Add authentication to your TaskMaster API

Tasks:

  1. Add /login endpoint issuing JWTs
  2. Create dependency to validate tokens in requests
  3. Set token expiration and refresh logic

Curated Resources

Resources:

Day 23: OAuth2 & Role-Based Access Control

Topic

Implementing OAuth2 authentication and role-based access control.

Learning Objectives

  • Understand OAuth2 flow and components
  • Implement OAuth2 with password flow in FastAPI
  • Create role-based access control system
  • Secure endpoints based on user roles and permissions

Hands-on Tasks

  1. Implement OAuth2 password flow with FastAPI
  2. Create a role and permission system
  3. Implement endpoint protection based on roles
  4. Add social authentication providers (optional)
  5. TaskMaster Mini-Project: Add role-based access control to your TaskMaster API

Note: Social Login Ask them to see on their own if interested

Day 23: Social Login

Objectives:

  • Add Google/GitHub OAuth2 login

Tasks:

  1. Integrate python-social-auth library
  2. Implement Login with Google flow
  3. Handle OAuth2 callbacks

Resources:

Curated Resources

Day 24: Middleware & CORS

Topic

Using middleware for cross-cutting concerns and implementing CORS.

Learning Objectives

  • Understand middleware concept and use cases
  • Implement custom middleware in FastAPI
  • Configure CORS for frontend integration
  • Use middleware for logging, timing, and error handling

Hands-on Tasks

  1. Implement request logging middleware
  2. Set up proper CORS configuration
  3. Create error handling middleware
  4. Implement request timing middleware
  5. TaskMaster Mini-Project: Add middleware stack to your application

Tasks:

  1. Create middleware to log requests
  2. Configure CORS for frontend access
  3. Add rate limiting with slowapi

Curated Resources

Resources:

Day 25: Background Tasks & Scheduled Jobs

Topic

Implementing background tasks and scheduled jobs in FastAPI.

Learning Objectives

  • Use FastAPI's background tasks
  • Implement task queues with Celery
  • Create scheduled jobs with APScheduler
  • Handle long-running processes

Hands-on Tasks

  1. Implement email notifications using background tasks
  2. Set up Celery with Redis for task processing
  3. Create scheduled data cleaning and report generation jobs
  4. Implement progress tracking for long-running tasks
  5. TaskMaster Mini-Project: Add notification system with background processing

Tasks:

  1. Send welcome email as background task
  2. Implement task status update notifications
  3. Use Celery for distributed task queue

Curated Resources

Resources:

Day 26: Caching Strategies

Topic

Implementing caching to improve API performance.

Learning Objectives

  • Understand caching concepts and strategies
  • Implement Redis as a caching solution
  • Use in-memory caching with FastAPI
  • Implement cache invalidation strategies

Hands-on Tasks

  1. Set up Redis for caching
  2. Implement endpoint response caching
  3. Create a caching dependency
  4. Implement cache invalidation for data modifications
  5. TaskMaster Mini-Project: Add caching to improve the performance of frequently-accessed endpoints

Tasks:

  1. Cache frequent DB queries
  2. Implement cache invalidation on writes
  3. Add ETag headers for client caching

Curated Resources

Resources:

Day 27: WebSockets in FastAPI

Topic

Implementing real-time communication with WebSockets.

Learning Objectives

  • Understand WebSocket protocol basics
  • Implement WebSocket endpoints in FastAPI
  • Create a real-time notification system
  • Handle WebSocket authentication and connection management

Hands-on Tasks

  1. Create a basic WebSocket endpoint
  2. Implement a chat functionality between users
  3. Build a real-time task update notification system
  4. Implement WebSocket authentication
  5. TaskMaster Mini-Project: Add real-time updates for task changes

Tasks:

  1. Build real-time task updates via WebSockets
  2. Implement chat for task comments
  3. Broadcast messages to multiple clients

Curated Resources

Resources:

Day 28: API Documentation & OpenAPI

Topic

Creating comprehensive API documentation and leveraging OpenAPI.

Learning Objectives

  • Understand OpenAPI specification
  • Customize FastAPI's automatic documentation
  • Add detailed descriptions and examples
  • Create custom documentation

Hands-on Tasks

  1. Enhance API documentation with detailed descriptions
  2. Add examples to request and response models
  3. Customize the Swagger UI and ReDoc interfaces
  4. Generate client SDKs from your OpenAPI schema
  5. TaskMaster Mini-Project: Create comprehensive documentation for your API

Curated Resources

Week 5: Testing, DevOps & Deployment

Day 29: Testing and CI/CD

Topic

Testing FastAPI applications and implementing CI/CD pipelines.

Learning Objectives

  • Write effective unit and integration tests
  • Use pytest for testing FastAPI applications
  • Implement test fixtures and mocking
  • Set up continuous integration with GitHub Actions

Hands-on Tasks

  1. Create unit tests for your API endpoints
  2. Implement integration tests with test databases
  3. Use test fixtures for common test setups
  4. Set up a GitHub Actions CI pipeline
  5. TaskMaster Mini-Project: Create a comprehensive test suite for your API

Tasks:

  1. Test API endpoints with pytest and httpx
  2. Mock database session in tests
  3. Achieve 80%+ test coverage

Curated Resources

Resources:

Day 30: Docker, Kubernetes & Cloud Deployment

Topic

Containerizing and deploying your FastAPI application.

Learning Objectives

  • Understand containerization with Docker
  • Create production-ready Docker images
  • Deploy your application to cloud platforms
  • Understand Kubernetes basics for orchestration

Hands-on Tasks

  1. Create a Dockerfile for your FastAPI application
  2. Set up Docker Compose for local development
  3. Deploy your application to a cloud provider (AWS, GCP, Azure, or Heroku)
  4. Configure environment variables and secrets
  5. TaskMaster Mini-Project: Deploy your complete TaskMaster API to production

Tasks:

  1. Create Dockerfile with multi-stage build
  2. Set up GitHub Actions for automated testing
  3. Configure PostgreSQL in Docker Compose

Tasks:

  1. Deploy to Heroku Container Registry
  2. Configure AWS ECS with Fargate
  3. Set up monitoring with Prometheus/Grafana

Curated Resources

Resources:

Resources:

Capstone Project: TaskMaster API

Throughout this course, you've been building components of the TaskMaster API. By Day 30, you will have a complete, production-ready task management system with the following features:

Features

  • User registration and authentication
  • Task creation, reading, updating, and deletion
  • Task categorization and tagging
  • Task assignment and sharing between users
  • Comments on tasks
  • Task prioritization and status tracking
  • Notifications (email and real-time)
  • Task search and filtering
  • User roles and permissions
  • API documentation
  • Comprehensive test suite

Architecture

  • FastAPI for the web framework
  • PostgreSQL for the database
  • SQLAlchemy/SQLModel for ORM
  • Pydantic for data validation
  • JWT for authentication
  • Redis for caching and background tasks
  • WebSockets for real-time updates
  • Docker for containerization
  • Cloud deployment

Deployment

On the final day, you'll deploy your application to a cloud provider of your choice (AWS, GCP, Azure, Heroku, etc.) using Docker containers, making your API accessible to the world.

Next Steps After the Course

After completing this 30-day curriculum, here are some suggested next steps to continue your backend engineering journey:

  1. Expand Your API: Add more advanced features like analytics, reporting, or integrations with third-party services.

  2. Build a Frontend: Create a frontend application that consumes your API using a framework like React, Nextjs, Vue, or Angular.

  3. Explore Microservices: Break down your monolithic API into smaller, focused microservices.

  4. Advanced DevOps: Implement more advanced DevOps practices like infrastructure as code, automated scaling, and monitoring.

  5. Performance Optimization: Dive deeper into performance optimization techniques for both your API and database.

  6. Contribute to Open Source: Apply your skills by contributing to open-source FastAPI projects.

  7. Security Hardening: Conduct security audits and implement advanced security features.

  8. API Gateway: Implement an API gateway for rate limiting, analytics, and centralized authentication.

Happy coding, and welcome to the world of backend engineering!

Let's Connect

LinkedInGitHubInstagramYouTubeX

💡 Connect with me

Follow me on social media for updates, insights, and behind-the-scenes content from my knowledge base journey.

Get in touch

Have questions or want to collaborate? Reach out through any of the platforms above!