FastAPI Course

12 Lesson

35 Hours

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igmGuru offers the best FastAPI training program online worldwide, designed for learners of all levels. Our training includes key topics such as building high-performance RESTful APIs with FastAPI, integrating databases using ORMs, handling asynchronous requests with async/await, validating and serializing data with Pydantic, implementing authentication and security, managing background tasks and WebSockets for real-time communication, deploying FastAPI applications to the cloud, and more. This FastAPI course content is developed by certified experts with over 10 years of experience in backend development, cloud services, and modern Python web frameworks.

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Overview

Prerequisites

Know Python basics: functions, classes, and modules
Understand HTTP methods, status codes, and JSON
Familiar with REST API concepts and CRUD operations
Basic command-line and Git usage
Have a code editor like VS Code or PyCharm
Use an API testing tool like Postman or curl
Basic understanding of SQL or ORM tools (e.g., SQLAlchemy, Tortoise ORM). (Optional)

What You Will Learn

Build RESTful APIs using FastAPI
Handle requests, responses, and JSON data
Implement CRUD operations with endpoints
Validate and serialize data with Pydantic
Use asynchronous programming (async / await)
Connect APIs to databases using ORM
Add authentication and authorization
Test APIs with tools like Postman or pytest
Document APIs automatically with Swagger/OpenAPI
Deploy FastAPI applications to production

Benefits of Taking this Course from igmGuru

Learn to build fast, scalable APIs with FastAPI
Gain hands-on experience with RESTful API development
Understand data validation and serialization using Pydantic
Learn to implement authentication and database integration
Get skills to write asynchronous, high-performance Python code
Learn automatic API documentation with Swagger/OpenAPI
Prepare for real-world projects and production-ready applications

Latest Trends for 2026

Async-first and high-concurrency backend architectures
Serverless and edge computing adoption
AI-native APIs and LLM integration
API-first and composable architecture
Strong type safety and schema validation
Microservices and cloud-native backend design
Zero-Trust security and data privacy focus
Real-time event-driven architectures
AI-assisted development and automation
Performance-efficient and sustainable systems

Targeted Audience

Python developers looking to build APIs
Backend developers transitioning to FastAPI
Full-stack developers wanting modern, high-performance backends
Data engineers and ML engineers deploying models via APIs
DevOps and cloud engineers working with scalable web services
Students or professionals learning modern web frameworks

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
Flexible Schedule
Instructor Led Training : 35Hrs

Course Curriculum

Lesson 1 - Introduction to FastAPI

1. What FastAPI is & why use it

2. Setting up your environment (Python 3.8+, virtual env, IDE)

3. Your first FastAPI app and endpoints

Lesson 2 - Basic Routing & Request Handling

1. Path parameters, query parameters, headers

2. Request bodies, JSON data, response models

3. Status codes, error handling

Lesson 3 - Data Validation & Models

1. Using Pydantic for request/response models

2. Input validation, output serialization

3. Custom exceptions and validation errors

Lesson 4 - Database Integration & CRUD

1. Relational databases (SQL, ORM like SQLAlchemy)

2. Non‑relational databases (NoSQL)

3. Writing CRUD operations, migrations

Lesson 5 - Authentication, Authorization & Security

1. JWT tokens, OAuth2 flows

2. API keys and role‑based access

3. Secure endpoints, best practices for production

Lesson 6 - Asynchronous Programming & Performance

1. Async vs sync endpoints (async/await)

2. Handling I/O‑bound tasks efficiently

3. Using fast ASGI servers (e.g., Uvicorn)

Lesson 7 - Advanced Features & Real‑Time Functionality

1. Background tasks, scheduling jobs

2. WebSockets for real‑time communication

3. Integrating GraphQL for flexible data queries

Lesson 8 - Microservices & Modern Architecture

1. Designing modular services and APIs

2. API‑first design / headless backend architecture

3. Using message brokers, event‑driven setups

Lesson 9 - AI/ML & Edge Integration

1. Deploying ML/AI models behind FastAPI endpoints

2. Edge computing concepts and real‑time inference

3. Use cases: chatbots, prediction APIs, IoT

Lesson 10 - Testing, Monitoring & Best Practices

1. Writing tests (unit, integration) with pytest or HTTPX

2. Logging, metrics, traceability, performance monitoring

3. Code architecture: clean architecture, dependency injection

Lesson 11 - Deployment & DevOps

1. Containerization with Docker, orchestration with Kubernetes

2. CI/CD pipelines, cloud deployment (AWS/GCP/Azure)

3. Scaling & optimization for production

Lesson 12 - Documentation & Developer Experience

1. Automatic docs: Swagger UI, ReDoc

2. Versioning APIs, backward compatibility

3. Developer productivity: type hints, clean code, reusable dependencies

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 35 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 29 May 2026
Weekday Batch 01 Jun 2026
Weekend Batch 30 May 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

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Want to know Today's Offer

FastAPI Certification

After completing the FastAPI training and hands-on practical exercises, learners will receive a course completion certificate from igmGuru. This certification validates your expertise in building high-performance Python APIs, handling asynchronous requests, implementing data validation with Pydantic, integrating databases, securing endpoints, and deploying FastAPI applications to the cloud. It demonstrates your ability to design and implement scalable, real-time web solutions, work with background tasks and WebSockets, and deliver robust, production-ready backend systems across platforms and environments.

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FastAPI Course