Software Development · Career Track
Python Fullstack with AI
Own the database, API, interface and deployment—then add AI responsibly.
Build and deploy production-style web applications with Python, React and practical AI features.
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 Fullstack with AI 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 Fullstack with AI 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
Fresh graduates and Python learners targeting full-stack, backend or AI-enabled application-development roles.
Role pathways
Your starting point
No professional experience required. A focused Python and Git bridge is included.
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 PostgreSQL/SQL HTML/CSS JavaScript/TypeScript Django FastAPI REST Authentication Testing React Docker Cloud deployment AI API integration
Build-first curriculum journey
9 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.
M012 weeks · 15 live hours
Python Core and Git bridge
Repository Onboarding Sprint: become productive in an unfamiliar codebase.
- Python types, control flow and functions
- Collections and OOP
- Exceptions, modules and files
- Virtual environments and packages
Guided labBuild a tested Python domain package collaboratively through Git.
Portfolio evidencePython package, tests and pull-request evidence.
AssessmentBridge practical and code-review check.
M021 week · 7.5 live hours
SQL and data modelling
Schema Before Screens: prevent invalid business states at the data layer.
- Relational design and normalisation
- SQL joins, aggregates and transactions
- Constraints and integrity
- Indexes and query basics
Guided labDesign the data layer for a multi-role SaaS or service application.
Portfolio evidenceER diagram, migration scripts and query casebook.
AssessmentData integrity and transaction practical.
M032 weeks · 15 live hours
HTML, CSS, JavaScript and TypeScript
Device Matrix Challenge: make one workflow usable across keyboard, mobile and slow network.
- Semantic HTML and forms
- Responsive CSS, Flexbox and Grid
- JavaScript language and DOM
- Async programming and fetch
Guided labImplement a responsive accessible product interface consuming a mock API.
Portfolio evidenceFrontend prototype, accessibility checklist and TypeScript model layer.
AssessmentBrowser debugging and responsive-design practical.
M043 weeks · 22.5 live hours
Django/FastAPI backend engineering
Framework Decision Lab: choose Django or FastAPI based on product constraints.
- Framework architecture and project structure
- Models/ORM and migrations
- Routing, views/controllers and schemas
- Validation and service layers
Guided labBuild equivalent business capabilities through Django and API-first service patterns.
Portfolio evidenceBackend service, architecture diagram and framework comparison memo.
AssessmentBackend architecture and error-handling review.
M051 week · 7.5 live hours
APIs, authentication and testing
Role Matrix Mission: prove every protected action under success and denial paths.
- REST resource and error design
- OpenAPI and client contracts
- Authentication, authorisation and roles
- Session/token security and password handling
Guided labImplement and test a secured multi-role API with documented contracts.
Portfolio evidenceOpenAPI spec, auth flow, test suite and security review.
AssessmentAuthorisation bypass and contract test challenge.
M062 weeks · 15 live hours
React frontend engineering
State Machine Mindset: design every waiting, success, empty, optimistic and failure state.
- Components and composition
- State, hooks and effects
- Routing and forms
- API/server-state integration
Guided labBuild a production-style React interface for the Python API with complete loading/error states.
Portfolio evidenceReact application, component catalogue and automated tests.
AssessmentFrontend architecture and UX review.
M071 week · 7.5 live hours
Practical AI feature integration
Useful, Not Gimmicky: show measurable user value and a safe failure path.
- Choosing an appropriate AI use case
- LLM API and structured output
- Prompt/context and grounded-data basics
- Evaluation and fallback
Guided labAdd a bounded AI feature to the full-stack product and prove its quality with test cases.
Portfolio evidenceAI feature, evaluation set, cost estimate, risk note and fallback UX.
AssessmentAI feature review board.
M081 week · 7.5 live hours
Containers and cloud deployment
Same Artefact, Every Environment: remove manual deployment surprises.
- Docker images and compose
- Environment configuration and secrets
- Reverse proxy and static assets
- CI/CD and release versioning
Guided labContainerise and deploy the database, API and frontend through an automated pipeline.
Portfolio evidenceDeployment repository, pipeline, runbook and monitoring evidence.
AssessmentRelease and rollback demonstration.
M091 week · 7.5 live hours
Full-stack capstone and demo day
Product Launch Day: prove user value, engineering quality, security and operational readiness.
- Product discovery and user stories
- Architecture, schema and API
- Secure multi-role workflows
- Responsive React UX
Guided labDeliver a deployed SaaS, commerce, operations or citizen-service product with a responsible AI feature.
Portfolio evidenceFull repository, live product, architecture, test evidence, runbook and portfolio story.
AssessmentDemo Day, architecture review and full-stack 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.
Database-backed Python web service
Secured REST API
Responsive React application
Practical AI feature with evaluation and fallback
Deployed full-stack capstone and Demo Day
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 Product Engineering Edge Lab extends the program with current Python web capabilities, modern React, interoperable AI features, observability and secure delivery patterns.
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-FULLSTACK@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 Fullstack with AI program designed for?
Fresh graduates and Python learners targeting full-stack, backend or AI-enabled application-development roles.
What prerequisites do I need?
No professional experience required. A focused Python and Git bridge is included.
What is included in the public curriculum?
The public curriculum includes the recognized stack, all 9 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.