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School of Software Engineering · Foundation–Intermediate

Python Programming & Software Development Course

Become a production-minded Python developer by building APIs, databases, tests, packages, automation and a deployed software capstone.

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Python Programming & Software Development course illustration at Brightnest AI Academy
Python Programming FoundationsData Structures, Algorithms and Pythonic CodeObject-Oriented Design and Type-Safe PythonFiles, APIs and Asynchronous I/O
Python 3VS CodeGittyping toolshttpx
Duration9–11 weeks72 hours
Batch startsConfirm with admissionsOpen for registration
Learning formatLive mentor-led instruction, guided labs, assignments, feedback and project reviewsLive online / classroom
Curriculum8 modulesLabs and assessed capstone
Portfolio2 projectsPlus module evidence
LevelFoundation–IntermediateCourse level
PathwayFull-Stack Software EngineerRelated career pathway

How you will learn

Live instructor-led sessions that connect concepts to real workplace decisions.
Guided labs and workshops in every module.
Assignments, checkpoints and practical feedback.
Portfolio documentation, demonstrations and capstone review.
Access to recordings and LMS resources according to the published batch policy.
Career preparation based on completed work and target roles.
Course curriculum

What you will learn, module by module

Build robust applications with Python, APIs, testing and software engineering fundamentals. Progress from Python Programming Foundations to Deployment and Python Software Capstone through guided labs, assessed projects, and portfolio evidence.

01Module 1 · 6 hoursPython Programming FoundationsBuild a command-line utility with validation, logging and clean functions.
Topics you will cover
  • Python setup
  • Syntax
  • Variables
  • Strings
  • Numbers
  • Control flow
  • Functions
Tools and platforms
Python 3, VS Code, Git
Portfolio evidence
Python CLI project
Assessment
Coding checkpoint
02Module 2 · 8 hoursData Structures, Algorithms and Pythonic CodeImplement small utilities that process files and collections efficiently.
Topics you will cover
  • Lists
  • Dicts
  • Sets
  • Tuples
  • Comprehensions
  • Iterators/generators
  • Sorting
Tools and platforms
Python
Portfolio evidence
Python problem-solving repository
Assessment
Coding exercises
03Module 3 · 8 hoursObject-Oriented Design and Type-Safe PythonDesign a small domain model and refactor for testability and typing.
Topics you will cover
  • Classes
  • Composition
  • Inheritance
  • Dataclasses
  • Protocols/interfaces concepts
  • Type hints
  • mypy concepts
Tools and platforms
Python, typing tools optional
Portfolio evidence
Typed Python package
Assessment
Code review
04Module 4 · 8 hoursFiles, APIs and Asynchronous I/OBuild an API client that ingests data concurrently and stores normalized results.
Topics you will cover
  • JSON/CSV
  • pathlib
  • HTTP clients
  • REST concepts
  • Authentication
  • Retries
  • Rate limits
Tools and platforms
Python, httpx/requests, asyncio
Portfolio evidence
API integration service
Assessment
Integration lab
05Module 5 · 8 hoursDatabases and PersistenceBuild a CRUD data layer backed by PostgreSQL/SQLite with migrations.
Topics you will cover
  • SQL basics
  • Relational modelling
  • Transactions
  • ORM concepts
  • Migrations
  • Connection management
  • Repository pattern
Tools and platforms
PostgreSQL/SQLite, SQLAlchemy concepts
Portfolio evidence
Database-backed Python app
Assessment
Database lab
06Module 6 · 10 hoursWeb APIs with FastAPIBuild a documented REST API with validation, auth-ready design and database integration.
Topics you will cover
  • Routing
  • Request/response models
  • Validation
  • Dependency injection
  • Authentication concepts
  • OpenAPI
  • Error handling
Tools and platforms
FastAPI, Pydantic
Portfolio evidence
Production-style FastAPI service
Assessment
API practical
07Module 7 · 8 hoursTesting, Packaging and Developer QualityCreate a test suite and package the application for repeatable installation.
Topics you will cover
  • pytest
  • Fixtures
  • Mocking
  • Integration tests
  • Coverage
  • Linting/formatting
  • Packaging
Tools and platforms
pytest, Ruff/Black concepts, packaging tools
Portfolio evidence
Tested Python package
Assessment
Quality gate
08Module 8 · 16 hoursDeployment and Python Software CapstoneBuild, test, containerise and deploy a complete Python service with documentation and CI.
Topics you will cover
  • Docker
  • Environment variables
  • Secrets
  • CI/CD
  • Application server concepts
  • Monitoring
  • Performance profiling
Tools and platforms
Docker, GitHub Actions, cloud platform
Portfolio evidence
Deployed Python software project
Assessment
Capstone demo
Applied portfolio

Projects you will build

2 portfolio projects plus module evidence

Portfolio project 1

Production Python REST Service

Build a tested FastAPI service with database, validation, packaging, Docker and CI.

Source code · tests · OpenAPI · Docker · CI · deployment URL
Portfolio project 2

Python Automation Service

Automate a recurring data/API workflow with scheduling, logging and error recovery.

Package · configuration · tests · logs · operational guide
Course value

Why this course

Professional Python development goes beyond syntax: learners need structure, testing, APIs, data access, automation, packaging, deployment, and maintainable code.

The curriculum progresses from Python Programming Foundations to Deployment and Python Software Capstone, with guided labs, assessments, and two portfolio projects: Production Python REST Service and Python Automation Service.

Course fit

Who this course is for

Beginners and career switchers who want practical Python software-development and backend skills.

Foundation–IntermediateFull-Stack Software Engineer
PrerequisitesNo prior programming experience is required, though basic computer literacy is expected.
Practical capabilities

What you will be able to do

  • Build a command-line utility with validation, logging and clean functions.
  • Implement small utilities that process files and collections efficiently.
  • Design a small domain model and refactor for testability and typing.
  • Build an API client that ingests data concurrently and stores normalized results.
  • Build a CRUD data layer backed by PostgreSQL/SQLite with migrations.
  • Create a test suite and package the application for repeatable installation.
  • Build, test, containerise and deploy a complete Python service with documentation and CI.
Tools and platforms

Technology you will use in this course

Python 3VS CodeGittyping toolshttpxrequestsasyncioPostgreSQLSQLiteSQLAlchemy conceptsFastAPIPydanticpytestRuffBlack concepts
Career relevance

Full-Stack Software Engineer

This course supports the development of skills relevant to roles such as Python Developer, Backend Developer, and Software Engineer pathway. The strongest learner outcome is a portfolio that shows the problem, implementation, testing or evaluation, documentation and a clear explanation of decisions—not a certificate alone.

Course evidence and instruction

Academy advisor

Ranjeet Kumar

Advisor, Brightnest AI Academy · Innovation & Growth Leader

A technologist and data leader with 15+ years of experience applying data, artificial intelligence and machine learning to complex problems, scalable products and business growth.

What our learners say

Learner experience

Building one product end to end—React, APIs, authentication, databases, testing and deployment—made my portfolio much more credible.
Priya MenonFull Stack Developer · Software Products

Industry and technology ecosystem

MicrosoftAmazon Web ServicesDeloitteTech MahindraTata Consultancy ServicesWipro
Course FAQs

Clear answers before you enrol

Become a production-minded Python developer by building APIs, databases, tests, packages, automation and a deployed software capstone.

Is the Python Software Development course suitable for beginners?

This course progresses from foundation to intermediate level. No prior programming experience is required, though basic computer literacy is expected.

What will I build during the course?

You will complete guided labs in every module and build two portfolio projects: Production Python REST Service and Python Automation Service. Deliverables include working files or code, documentation, testing or evaluation evidence, and a final presentation.

Which tools and platforms are covered?

Key tools include Python 3, VS Code, Git, Python, typing tools, httpx, requests, and asyncio. Additional platforms are introduced in relevant modules through practical tasks, and the toolset may evolve as industry practice changes.

How long does the course take?

The course includes approximately 72 guided learning hours across 8 modules, normally delivered over 9–11 weeks depending on batch intensity and learner practice time.

Which career paths can this course support?

The curriculum supports the development of skills relevant to roles such as Python Developer, Backend Developer, and Software Engineer pathway. Career outcomes depend on prior experience, project quality, interview readiness and market conditions; employment is not guaranteed.

Will I receive mentor and career support?

The course includes live instruction, lab support, assignment feedback, project reviews and career preparation covering portfolio development, resume writing, LinkedIn profile improvement, and interview guidance.

Ready to start?

Ready to start your Python Programming & Software Development journey?

Review the full curriculum, experience a live class and confirm the right starting point before enrolling.

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