Architect Scalable Backend Systems. The Best Advanced Python Course in Ahmedabad.
Junior roles test syntax; senior screens test architecture. We take you beyond basics into decorators, asyncio, design patterns, FastAPI, SQLAlchemy, and production-grade pytest — the stack product companies and GCCs in India use for microservices, integrations, and high-throughput APIs.
Enterprise Enrollment Architecture
Duration: 30 Hours
₹7,500₹4,500
Note: Any type of tax would be extra. Global certification cost is excluded.
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Bascom Bridge Alumni Engineering Global Tech
Exclusive Program Benefits
- After the course, Bascom Bridge will share 10–12 sample CVs to help build your resume.
- Students receive a license for Bascom Bridge’s placement mobile app*.
- Lifetime access* to the enrolled course for students.
- If a student does not clear interviews, Bascom Bridge will provide retraining* until employment is secured.
- Global certification training is included at no extra cost.
- Discount on global certification fees* available.
- Advanced labs: FastAPI async services, design patterns, and pytest suites mirroring product-team code reviews.
- Capstone repository structured for backend developer interviews at product companies and GCCs*.
Applicable taxes will be added to each instalment.
Trusted by Government of India & Leading PSUs
About Advanced Python
Enterprise Tools Included
- Python 3.12+ typing, dataclasses & Pydantic v2
- asyncio, aiohttp & FastAPI (async REST)
- SQLAlchemy ORM with PostgreSQL
- pytest, fixtures, mocking & coverage.py
- Docker, uvicorn & structured logging (stdlib + config)
Cognitive Prerequisites
- Completion of Core Python or equivalent (functions, OOP, basic Git)
- Comfort debugging tracebacks and reading library documentation
- Understanding of HTTP verbs and JSON REST concepts
- Laptop with 8 GB+ RAM for local API and database labs
Salary Progression (₹)
- Entry-Level (0-3 yrs)₹4.0L - ₹8.0L
- Mid-Level (4-7 yrs)₹9.0L - ₹16.0L
- Senior Level (8-12+ yrs)₹17.0L - ₹26.0L+
The Enterprise Capstone Architecture
Async Task Orchestration API. You will implement a layered FastAPI service with repository-pattern persistence in PostgreSQL, async endpoints for job submission and status polling, Pydantic schemas, Depends-based DI, structured logging, Dockerized uvicorn deploy, and 80%+ pytest coverage with mocked external calls — demonstrating the architecture interviewers expect for Python backend roles.
Deep-Dive Syllabus Grid
Module 1: Modern Python — Type Hints, Dataclasses & Pydantic
Static typing with typing module, Optional/Union, dataclasses, and Pydantic models for request/response validation. Writing self-documenting code that IDEs and mypy can verify — standard in 2026 backend job descriptions.
Module 2: Iterators, Generators & Memory-Efficient Pipelines
Iterator protocol, yield/generator expressions, itertools, and lazy processing of large CSV/JSON feeds. Patterns used in ETL scripts and data engineering handoffs without loading entire files into RAM.
Module 3: Decorators, Context Managers & Descriptors
Building and applying decorators, @contextmanager, with statements for resources, and descriptor basics. Implementing cross-cutting concerns — logging, retries, timing — the way frameworks like FastAPI wrap route handlers.
Module 4: Advanced OOP & Enterprise Design Patterns
SOLID principles, Strategy, Factory, Repository, and Dependency Inversion applied in Python. Structuring services so business logic stays testable when databases or third-party APIs change underneath.
Module 5: Concurrency — Threading, Multiprocessing & the GIL
When to use threads versus processes, concurrent.futures, and realistic expectations around CPU-bound versus I/O-bound work in CPython. Choosing the right tool before jumping to async.
Module 6: asyncio — async/await for Scalable I/O
Event loops, coroutines, asyncio.gather, aiohttp clients, and error handling in concurrent tasks. Building non-blocking workflows that product teams use for microservices talking to multiple APIs.
Module 7: FastAPI — Production REST APIs
Router modules, path/query/body parameters, Depends() injection, middleware, exception handlers, and OpenAPI docs. Shipping async endpoints with Pydantic validation — the stack behind many Ahmedabad startup and GCC backends.
Module 8: Persistence — SQLAlchemy ORM & Session Management
Declarative models, relationships, CRUD repositories, transactions, and connection pooling with PostgreSQL. Separating data access from service layers so pytest can swap in-memory databases during CI.
Module 9: Testing & Quality at Scale
pytest fixtures, parametrize, unittest.mock, TestClient for FastAPI, coverage thresholds, and pre-commit habits. Catching regressions before code review — what separates advanced developers from script writers.
Module 10: Configuration, Logging & Deployment Hygiene
Environment-based settings (pydantic-settings), structured logging, pyproject.toml packaging, Dockerfiles for uvicorn, and health-check endpoints. Preparing repositories for staging deploys and portfolio walkthroughs in technical interviews.
Top private enterprises we train across India
