Building REST APIs with FastAPI using Python | Hands-On

Building REST APIs with FastAPI using Python | Hands-On
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch

APIs power modern applications – everything from mobile apps and web services to AI systems and real-time data processing. FastAPI is one of the fastest, most modern frameworks for building these APIs in Python.

What’s in this course?
From there, you’ll walk through building complete API endpoints – handling different types of parameters, processing request bodies, validating data with Pydantic models, and implementing all CRUD operations – all through practical Python demonstrations. You’ll then explore a real-world use case – building an AI Resume Parser that demonstrates how to integrate with external APIs like OpenAI or Gemini and process complex data in production.

Next, you’ll master Database Integration – connecting your APIs to SQLite and PostgreSQL, performing CRUD operations, and managing persistent data effectively. You’ll then focus on Authentication and Security – understanding password hashing, JWT tokens, protected routes, and session management – the critical skills for building secure backend systems that protect user data. You’ll bring everything together in a hands-on capstone project where you’ll build a complete Secure User Authentication API from scratch, integrating databases, security layers, and production best practices.

Finally, you’ll explore FastAPI Deployment – understand about deploying to modern cloud platforms like Railway, AWS, and Heroku, deploy fastAPI application on Render & making your API accessible to real users worldwide. All topics are taught through concept-based lectures and real hands-on demonstrations, so you don’t just understand the theory – you know how to build and deploy production-ready APIs.

Course Structure
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Concepts
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Hands-on Demonstrations
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End-to-End Capstone projects

Course Contents
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Course Introduction and Tool Setup
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REST principles and HTTP methods
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Introduction to FastAPI and How It Differs from REST API
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Building API Endpoints
– Path parameters
– Query parameters
– POST request and Request bodies
– Pydantic Models for Validation
– GET, POST, PUT, and DELETE Endpoints
– Response Models and Status Codes
– Error Handling and Status Codes
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AI RESUME PARSER – Use Case
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Connecting endpoints to databases
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Authentication and Security
– Password hashing with bcrypt
– JWT tokens
– Handling cookies and session management
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End-to-End Capstone project – Building a Secure Authentication API

By the end of this course, you’ll have a solid foundation in API development and the practical skills to confidently build, secure, and deploy REST APIs for real-world applications.

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