Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Advanced FastAPI Training - Build Scalable Ultra-High-Performance APIs training are: Advanced Python mastery, intermediate FastAPI, async/await, SQLAlchemy, Docker basics.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Advanced FastAPI Training - Build Scalable Ultra-High-Performance APIs training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Advanced FastAPI Training - Build Scalable Ultra... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Advanced FastAPI Training - Build Scalable Ultra-High-Performance APIs training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Advanced FastAPI Training - Build Scalable Ultra-High-Performance APIs training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Advanced FastAPI Training - Build Scalable Ultra-High-Performance APIs training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Optimize FastAPI performance with async and advanced caching

Implement robust security via JWT, OAuth2 and custom middleware

Integrate NoSQL and SQL databases for data-intensive APIs

Scale FastAPI applications on Kubernetes and cloud providers

Deploy with CI/CD and real-time monitoring

Master advanced testing and distributed debugging

Produce interoperable microservices APIs

Training program

Module 1FastAPI Dependencies and Middleware: async tools, Pydantic V2, custom middleware deliverables

Dive into advanced FastAPI dependencies, configure middleware for logging and rate-limiting, handle Pydantic V2 for strict validation, complete exercises on real async flows, code a secure middleware live, test on concrete e-commerce API cases, leave with an optimized prototype ready to scale.

Module 2FastAPI Security: JWT, OAuth2, CORS, authenticated API deliverables

Secure your FastAPI APIs with JWT and OAuth2 via FastAPI Users, implement RBAC and dynamic scopes, manage CORS and CSRF in production, practice on simulated attacks like SQL injection, integrate secrets management with Vault, build a protected banking API, validate via automated audits, gain confidence to deploy without issues.

Module 3Advanced FastAPI Performance and Databases: SQLAlchemy ORM, Redis, data-heavy API deliverables

Boost FastAPI performance with Redis caching and async SQLAlchemy, optimize queries for 10x speed, integrate MongoDB for unstructured data, code ultra-fast paginated endpoints, test under load with Locust, analyze bottlenecks in real-time, produce a scalable analytics API, transform your apps into high-performance machines.

Module 4FastAPI Deployment and Monitoring: Docker, K8s, Prometheus, production stack deliverables

Deploy FastAPI on Kubernetes with Helm charts, automate CI/CD via GitHub Actions, monitor with Prometheus and Grafana, manage auto horizontal scaling, simulate x100 traffic spikes, debug in production with distributed traces, finalize a complete microservices project, leave with a one-click deployable stack ready for industry.

Evaluation method

Continuous evaluation through coding exercises, final scalable API project, certified deliverable handover, interactive quizzes on performance and security.