Start with a solid monolith
Microservices only make sense once you can build a clean API. Learn REST design, validation, databases and testing first, then split a working application into services with clear responsibilities.
PYTHON MICROSERVICES COURSE
Understand microservice architecture in Python: service boundaries, FastAPI services, messaging, containers and deployment, taught with mentor feedback.
Microservices only make sense once you can build a clean API. Learn REST design, validation, databases and testing first, then split a working application into services with clear responsibilities.
Define service boundaries, give each service ownership of its data and choose between synchronous HTTP calls and asynchronous messaging. FastAPI keeps each service small, typed and quick to document.
Package each service with Docker, run them together locally and deploy them with a repeatable workflow. Add logging and health checks so failures are visible.
Spring Boot is a common choice for Java microservices. Python with FastAPI offers a lighter alternative, quicker iteration and an easy bridge to data and AI services, which suits many modern backends.
COMMON QUESTIONS
Yes. Build a solid REST API first, then move to service-based architecture. See the Python REST API course.
FastAPI is a popular choice because it is lightweight, async-friendly and generates API docs automatically. Django can also power individual services.
Freshers should master Python and APIs first. Microservices are best learned as a next step with a working API project behind you.
Service-based architecture is covered as a progression from API development. Ask an advisor which cohort and module covers it in depth.