How I Mastered Django and FastAPI in 3 Months: Personal Experience on asibiont.com

Two years ago, I was a junior Python developer who knew the basics of syntax but was lost when employers asked for "experience with Django or FastAPI." On HeadHunter, almost every other job posting required knowledge of at least one web framework, and half of them demanded both. The problem was that few courses teach you how to combine them in a single project: courses are usually dedicated to either Django or FastAPI. I needed both to feel confident both in interviews and in real work.

I tried several online schools: some only offered the basics, others took six months, and some didn't even have a proper track for modern tools like Pydantic or Alembic. Eventually, I stumbled upon the asibiont.com platform and the course "Django and FastAPI — Python Web." I decided to give it a try – and I didn't regret it.

Why This Particular Course?

The main difference at asibiont.com is that the learning is built around an AI tutor. The neural network generates lessons tailored to your level, and in text format. For me, that's a plus: I can read at any time without waiting for a video release or adjusting to a schedule. The AI itself identifies where my gaps are and feeds me just the right amount of theory.

The course covers two frameworks:
- Django – models, ORM, migrations, admin panel, Django REST Framework (ViewSet, Serializer).
- FastAPI – endpoints, Pydantic schemas, Dependency Injection, asynchronicity, SQLAlchemy with Alembic for migrations.

Plus JWT, OAuth2, testing with pytest, and deployment with Docker + CI/CD. Everything needed for commercial development.

How the Learning Went

The process is structured as a chain of text modules. After registration, I took a short test – the AI assessed my current Python level and offered a personalized track. It skipped the basics of syntax and directly moved to web.

Each lesson includes a concept explanation, code examples, and a practical task. For example, with Django, we started by creating a Product model, wrote a migration, and then added products via the admin panel. With FastAPI, the first task was to make a /health endpoint returning JSON.

The AI tutor doesn't respond in a chat (it's not 24/7 support), but it generates explanations tailored to my mistakes. If I confused Serializer and ModelSerializer, the neural network would give a more detailed breakdown with examples in the next lesson.

What I Learned (Real Skills)

By the end of the course, I knew how to:
- Design models in Django using ORM and run migrations via makemigrations/migrate.
- Set up Django REST Framework: ViewSet, Router, custom Serializers.
- Build a FastAPI application with multiple endpoints, Pydantic validation, and dependency injection.
- Use SQLAlchemy with Alembic for database schema management in FastAPI.
- Implement JWT authentication and OAuth2 (e.g., via Google).
- Write tests with pytest and cover endpoints.
- Package the application in Docker and set up CI/CD via GitHub Actions.

I applied these skills in practice right away: I took an old pet project on Django, rewrote its API on FastAPI, and the performance increased significantly thanks to asynchronicity.

Who Is This Course For?

The course is intended for developers who already know Python (basic syntax, functions, classes) and want to get into web development. If you:
- want to switch careers and become a backend developer;
- already write in Django but want to master FastAPI and asynchronicity;
- are preparing for an interview that requires both frameworks;
- are looking for flexible learning without being tied to a schedule,

then asibiont.com is a good option.

Why AI-Based Learning Is Modern

Traditional courses often have a fixed curriculum that may be too slow or too fast. The AI on asibiont.com analyzes my answers and task results and adjusts the content. For example, when I quickly went through the Django ORM topic, the neural network immediately suggested more complex queries with aggregation. And if I got stuck on the intricacies of Pydantic models, the AI provided additional explanations and simplified examples.

This approach saves time: you don't have to go through what you already know. Plus, the text format makes it easy to revisit past material – everything is saved in your personal account.

Result

Three months after starting the course, I updated my resume and got an offer for a Python developer position with a salary 30% higher than my previous one within two weeks. In the interview, I was asked about both Django (how to set up the admin panel, what a QuerySet is) and FastAPI (how dependency injection works, why Pydantic is needed). I felt confident because the course included not just theory but also practice.

Conclusion

If you're looking for a modern way to learn or improve your web development skills in Python – check out asibiont.com. The course "Django and FastAPI — Python Web" gives you exactly the tools used in real commercial projects. And the AI adaptation makes learning fast and personalized, without fluff.

You can start right now without waiting for a new cohort – access is open 24/7. More details about the program and enrollment on the page: Django and FastAPI — Python Web

See you in backend development!

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