Software Development · Foundation
Python Core
Write it. Test it. Automate something useful.
Learn Python by building—not by memorising syntax.
Advanced layer includedIndustry Edge tools and scenario-based labs beyond the recognized core. Curriculum v1.1 • Updated Jul 2026
Recognized curriculum, prerequisites, assessments, and public fees disclosed before counselling.
Industry Edge Lab includedAdvanced tools, emerging patterns, and scenario-based labs beyond the recognized core.Registration and admissions follow-up continue securely in BharatCampus ONE.
Python learning experience
See the concept. Build the code. Explain the decision.
Mentor-led instruction is paired with guided implementation, debugging support, independent practice, and review checkpoints aligned to the published Python Core curriculum.
Live concept walkthroughs Guided coding and debugging Portfolio-oriented project reviews
Book a demo class Included beyond the published curriculum
The recognized core is your foundation—not the finish line.
Every Python Core cohort also enters the CohortAI Industry Edge Lab: an evolving layer of advanced tool categories, emerging architecture and production patterns, and scenario-based labs. A guided counselling preview connects the most relevant capabilities to your target role, followed by a release-governed lab sequence after enrollment.
Release-governed advanced tools Emerging architecture patterns Scenario-based labs
Fit before enrollment
Who should join
Complete beginners and graduates preparing for full-stack, analytics, automation, testing, data science or AI tracks.
Role pathways
Your starting point
No programming experience required. Regular hands-on practice is expected.
This is not an exclusion filter. It helps us confirm whether you can start directly or would benefit from a short bridge before the cohort.Recognized core
Skills and technology stack
These employability foundations are part of the public learning promise and remain visible before registration.
Python VS Code Git Functions OOP Files Exceptions SQL basics REST API basics pytest concepts Code quality
Build-first curriculum journey
8 missions. One defensible portfolio.
Mentor-led hybrid learning with 1.5-hour live instruction, all-day supervised practice access, weekly build evidence and a version-locked capstone.
M011 week · 7.5 live hours
Python syntax and data types
First Build Sprint: make a useful tool in the first week.
- Interpreter, scripts and notebooks
- Variables and numeric/string/boolean types
- Input/output and expressions
- Type conversion and formatting
Guided labBuild small calculators and text utilities with validation and debugging evidence.
Portfolio evidenceStarter utilities repository and learning journal.
AssessmentSyntax and debugging practical.
M021 week · 7.5 live hours
Control flow and functions
No Giant Function Challenge: split a problem into clean reusable steps.
- Conditions and boolean logic
- Loops and iteration
- Functions, parameters and return values
- Scope and decomposition
Guided labCreate a menu-driven application using small testable functions.
Portfolio evidenceFunctional decomposition diagram and tested program.
AssessmentLogic and function-design assessment.
M031 week · 7.5 live hours
Collections and strings
Data Structure Puzzle: solve the same problem correctly and efficiently.
- Lists, tuples, sets and dictionaries
- Indexing, slicing and comprehensions
- String processing and regular expressions basics
- Sorting and grouping
Guided labAnalyse and transform a set of text and transaction records.
Portfolio evidenceData-processing script and collection-choice note.
AssessmentCollections challenge.
M041 week · 7.5 live hours
Object-oriented programming
Domain Modelling Studio: make classes reflect real business responsibilities.
- Classes, objects and attributes
- Methods and encapsulation
- Inheritance and composition
- Polymorphism and interfaces by convention
Guided labModel a library, inventory, banking or booking domain as collaborating objects.
Portfolio evidenceClass diagram, OOP application and tests.
AssessmentOOP design viva and refactoring practical.
M051 week · 7.5 live hours
Files, exceptions and modules
Messy File Rescue: preserve good data and explain every rejected record.
- Text, CSV and JSON files
- Paths and context managers
- Exceptions and custom errors
- Modules, packages and imports
Guided labBuild a resilient batch-processing tool that records errors and continues safely.
Portfolio evidenceFile-processing package, reject report and logs.
AssessmentFailure-handling practical.
M061 week · 7.5 live hours
SQL and API basics
Connect the Pieces: combine local data and a remote service into one useful workflow.
- Relational concepts and basic SQL
- SQLite/PostgreSQL connection concepts
- CRUD and parameterised queries
- HTTP and REST fundamentals
Guided labBuild a Python application that stores records and enriches them using a public/mock API.
Portfolio evidenceIntegrated application, schema and API test notes.
AssessmentSQL injection awareness and API failure exercise.
M071 week · 7.5 live hours
Testing, Git and code quality
Quality Gate: a feature is not complete until tests and evidence agree.
- Assertions and unit-test structure
- pytest concepts and fixtures
- Debugging and logging
- Git commits, branches and pull requests
Guided labAdd tests and continuous quality checks to an existing imperfect Python project.
Portfolio evidenceTest suite, quality report and pull-request review.
AssessmentBug-fix and code-review practical.
M081 week · 7.5 live hours
Mini project and assessment
Python Builder Demo: show a complete useful program and explain how it fails safely.
- Problem selection and user stories
- Program architecture
- Data/files/API integration
- Validation and tests
Guided labBuild an automation, tracker, booking, expense or productivity application.
Portfolio evidenceGit repository, executable program, tests, README and demo.
AssessmentFinal practical, code review and interview simulation.
The week feels different here
A repeatable rhythm from concept to evidence
Weekly rhythm
- 1Concept sprint and visual roadmap
- 2Guided implementation lab
- 3Independent build challenge
- 4Debug, review and production-pattern clinic
- 5Skill check, demo and learning reflection
Learner experience
CohortAI Skill Passport with milestone badges
Build-first weekly checkpoints rather than lecture-only completion
Peer demo and code/design review rituals
Mentor office hours and all-day practice-lab access
Capstone Demo Day with a business narrative, technical walkthrough and interview-style defence
Responsible AI-assisted learning policy: explain, verify and own every submitted artifact
Interview-ready proof
What you will be able to show—not merely claim
These are tangible outputs you can demonstrate, explain, and defend through a technical walkthrough, business narrative, or interview conversation.
Command-line utility
File-processing automation
Object-oriented mini system
API/SQL integration exercise
Tested Python mini project
Transparent evaluation
How your progress is assessed
Completion standard
Minimum 70% overall, mandatory capstone pass, at least 80% lab submissions and versioned portfolio evidence.
CohortAI Industry Edge Lab
Your published curriculum is the foundation. The Industry Edge is what keeps it moving forward.
The Modern Python Lab explores current language capabilities, fast project tooling, typing and asynchronous patterns through release-governed practice.
Your counselling preview connects relevant capability categories to your target role. The complete release-governed lab sequence becomes part of the enrolled learning plan.Version-controlled learning promise
PYTHON-CORE@1.1.0
Released 24 July 2026 under catalog CAT-2026.09.1. This page presents the approved curriculum, learner outcomes, duration, and public fee for informed comparison.
Straight answers
Frequently asked questions
Who is the Python Core program designed for?
Complete beginners and graduates preparing for full-stack, analytics, automation, testing, data science or AI tracks.
What prerequisites do I need?
No programming experience required. Regular hands-on practice is expected.
What is included in the public curriculum?
The public curriculum includes the recognized stack, all 8 module themes, guided labs, portfolio artifacts, assessment model, duration, and public fees. The Industry Edge Preview explains how advanced capability categories extend this foundation for your target role.
Where do counselling and enrollment happen?
CohortAI supports public discovery and program comparison. Registration, consent, counselling follow-up, application updates, and enrollment are managed securely in BharatCampus ONE.