Advanced Python Programming Training Course

• A career-focused advanced Python program spanning clean code, APIs, databases, concurrency, automation and deployment.

• Build guided portfolio projects and professional engineering habits.

• Prepare for Python, backend, automation and data-engineering roles.

• Master virtual environments, modules, packages, typing, exceptions, logging, PEP 8 and clean architecture.

• Build reusable scripts with validation, configuration and documentation.

• Use debugging, refactoring and code-review workflows.

• Apply classes, dataclasses, inheritance, composition, abstract classes, protocols and design patterns.

• Build testable services, repositories and domain models.

• Use SOLID and dependency-injection awareness.

• Use comprehensions, lambdas, iterators, generators, decorators, context managers and closures.

• Process streams and large datasets efficiently.

• Build functional utilities and pipelines.

• Handle files, CSV, JSON, XML, YAML, paths, regex, parsing, validation and transformation.

• Create CLIs for reporting, cleanup, log analysis and automation.

• Manage encoding, security and malformed data.

• Build REST APIs with FastAPI, Flask and Django awareness, HTTP, validation, auth and documentation.

• Use requests, clients, retries, pagination and API error handling.

• Deliver secure, clear service contracts.

• Use SQL, SQLite, PostgreSQL/MySQL awareness, ORM, migrations, queries, indexes and transactions.

• Model relationships, repositories, caching and data integrity.

• Build reliable CRUD applications.

• Use threads, processes, asyncio, tasks, queues, locks, cancellation and safe shared state.

• Profile CPU, memory, I/O, caching and batching.

• Build responsive services and jobs.

• Test with pytest, unittest, fixtures, mocks, coverage and integration workflows.

• Debug using logs, breakpoints, tracebacks, linters, formatters and type checks.

• Create CI-ready quality gates.

• Automate files, reports, email, ETL, APIs and scheduled jobs.

• Package apps, use Docker/CI awareness, secrets and deployment configuration.

• Build observable and secure production workflows.

• Plan and implement an end-to-end API, automation tool, data pipeline or backend service.

• Deliver architecture, database, tests, deployment, README and demo.

• Practice OOP, async, APIs, databases, testing and performance interviews.