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Go from coder to Python developer: advanced language mastery, clean architecture, FastAPI, async processing, and AI powered backends.
8 modules · 48 lessons
Advanced Python language mastery, object oriented design and architecture, testing quality and professional workflow, backend development with FastAPI and databases, a minor project building a production grade REST API, async Python concurrency and background work, AI engineering with Python, and a major project building a complete AI powered backend platform.
Level up from coder to professional Python developer. This intermediate program from Ucanly takes practitioners with working knowledge of Python functions, data structures, files, basic OOP, APIs, and Git into production grade backend engineering: advanced language features like generators, decorators, and context managers, clean architecture with SOLID principles and design patterns, and a real professional testing workflow with pytest, mocking, and linting. You will build REST APIs with FastAPI, PostgreSQL, and SQLAlchemy, and in your minor project in week five, build a production grade REST API with authentication, migrations, a full test suite, and Docker packaging. You will master async Python with asyncio, background jobs with Celery, and caching with Redis, then move into AI engineering: streaming LLM responses, embeddings and vector search, RAG, and AI agents with LangChain. You will graduate having built a complete AI powered backend platform in your week ten major project, with async processing, background jobs, caching, a RAG powered AI layer, CI/CD, and containerized deployment running live.
Complete this course to earn a verified Ucanly certificate you can add to your profile, share on LinkedIn, and showcase to employers as proof of the skills you've built.
It is recommended, but working knowledge of Python functions, data structures, files, basic OOP, APIs, and Git is sufficient to start.
Yes, your minor project is a production grade REST API built with FastAPI, backed by PostgreSQL, with authentication, validation, migrations, a full test suite, and Docker packaging.
You will build embeddings and vector search, RAG systems, streaming LLM responses, and AI agents using LangChain, culminating in a full AI powered backend platform.
A complete backend platform with async processing, background jobs, caching, a RAG powered AI layer, CI/CD, and containerized deployment, running live under Ucanly mentor guidance.