Course Overview
About Course
This 40‑hour FastAPI training immerses developers in building high-performance web APIs and full-stack applications using modern Python. Starting with framework fundamentals—async support, dependency injection, and type-driven request handling—participants learn to craft endpoints with strict validation, status codes, and error handling. Through Pydantic, they model and validate complex data schemas effortlessly.
Handling of files and forms, coupled with middleware integration, ensures readiness for real-world use cases. Security is layered in using OAuth2 and JWT, while database modules cover both synchronous and asynchronous workflows with SQLAlchemy and Alembic—ideal for production environments. The course also dives into serving HTML using Jinja2Templates and delivering static assets, highlighting FastAPI’s versatility beyond pure APIs.
Testing and documentation are emphasized using pytest and FastAPI’s automatic OpenAPI integration (Swagger UI/ReDoc). Deployment modules cover Docker containerization, gunicorn+uvicorn setups, VM deployments, CI/CD pipelines, and monitoring techniques.
With at least 80% hands-on labs, expert-led code reviews, and projects ranging from REST APIs to full-stack apps, graduates leave with practical skills, polished portfolios, and deployment-ready services. This course equips professionals to confidently use FastAPI in real-world production scenarios, delivering fast, secure, and well-documented Python web applications.
Course Syllabus
Module 1: Introduction & Setup (4 hrs)
- FastAPI overview: microframework principles, async foundations, comparison with Flask/Django
- Environment setup: Python 3.8+, virtualenv, IDE (e.g., PyCharm or VSCode), uvicorn basics
Module 2: Path & Query Parameters, Request Handling (4 hrs)
- Define GET/POST endpoints with path and query params, type enforcement via Pydantic
- Handling response models, status codes, and validation
Module 3: Data Models & Pydantic (4 hrs)
- Create schemas with Pydantic, nested models, enums, metadata, examples
- Automatic generation of JSON schemas and data validation
Module 4: Request Payloads, Forms & Files (4 hrs)
- Accept JSON, form-data, file uploads, streaming files
- Handling multiple body types simultaneously
Module 5: Error Handling & Middleware (4 hrs)
- Use HTTPException, apply custom exception handlers, add headers
- Implement middleware for logging, CORS, authentication
Module 6: Async, Dependency Injection & Security (6 hrs)
- Learn async/await with Starlette underpinnings
- Build reusable dependency functions, OAuth2, JWT authentication
Module 7: Database Integration & ORMs (6 hrs)
- Connect using SQLAlchemy / async SQLAlchemy, migrations via Alembic
- CRUD endpoints, models, and performance via async DB calls
Module 8: Templating & Static Files (4 hrs)
- Serve HTML with Jinja2Templates, static files (CSS, JS)
- Build full-stack apps beyond APIs
Module 9: Testing & Documentation (4 hrs)
- Write unit/integration tests using pytest and FastAPI TestClient
- Auto-generate OpenAPI docs with Swagger UI and ReDoc
Module 10: Deployment, CI/CD & Monitoring (4 hrs)
- Dockerize with Docker Compose, deploy using gunicorn + uvicorn or cloud VM
- Set up CI/CD pipelines and monitor with logging/metrics
Key Features
- 80% hands‑on coding: live labs covering API endpoints, auth, DB, and tests
- Real-world projects: RESTful API, full-stack app, file-processing service
- Expert guidance: mentor code reviews, quizzes, peer discussions
- Modern toolchain: Python 3.9+, Pydantic, SQLAlchemy, Alembic, pytest, Docker
- Interactive docs exploration: auto-generated OpenAPI via Swagger/ReDoc
- Deployment readiness: containerized builds, CI/CD pipeline setup
- Resources & support: session recordings, code repo, community chat
Our Upcoming Batches
At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.
Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.
Training Timetable
| Batches Online/Offline | Batch Start Date | Session Days | Time Slot (IST) | Fees |
|---|---|---|---|---|
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 11:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 5:00 PM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 PM (Class 1-1.30 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 7:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 10:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 11:00 AM (Class 3 Hrs) | View Fees |
For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.
Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.
Don’t see a batch that fits your schedule? Click here to Request a Batch to design a bespoke training timetable.
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