Leave Management System using Python - 3 Month Internship Training Program
Join 3 Month Leave Management System using Python Internship Training Program at NextVision Infotech. Master Python, Django, FastAPI, Docker, Kubernetes, AI integration, cloud deployment. ₹899 only with certificate.
Program Description
Skills You'll Learn
Projects You'll Work On
Enterprise Leave Management System (3 Month Project)
Students will build an enterprise-grade Leave Management System with microservices architecture, AI-powered leave analytics, absence forecasting, chatbot for leave queries, real-time notifications, team calendar, multi-tenant architecture, REST APIs, GraphQL, Docker, Kubernetes, CI/CD pipeline, cloud deployment (AWS/GCP), monitoring, and complete documentation.
Program Modules
W1-2: Weeks 1-2: Advanced Python and Framework Mastery
Advanced Python - decorators, generators, context managers, metaclasses, async/await, asyncio, threading, multiprocessing, type hints, Pydantic, dataclasses, design patterns (Factory, Singleton, Observer, Repository), SOLID principles, Flask advanced - blueprints, application factory, custom extensions, signals, Django advanced - class-based views, middleware, signals, custom management commands, DRF (Django REST Framework), serializers, viewsets, routers, permissions, throttling, FastAPI fundamentals, async endpoints, dependency injection, Pydantic models, OpenAPI, comparison of Flask vs Django vs FastAPI.
W3-4: Weeks 3-4: Database Design, Models, and Core Features
Advanced database design, normalization, denormalization, indexing strategies, query optimization, PostgreSQL advanced features (JSONB, full-text search, CTEs, window functions), Redis for caching and sessions, Celery for background tasks, RabbitMQ for message queue, models - User, Employee, Manager, Admin, LeaveType, LeaveApplication, LeaveBalance, Holiday, Department, Notification, AuditLog, relationships, migrations, database seeding, CRUD operations, forms, validation, file uploads, image handling, core leave management features - employee registration, leave types, leave application, manager approval, leave balance tracking, holiday calendar, leave accrual, leave carry forward.
W5-6: Weeks 5-6: Advanced Features, AI Integration, and Real-Time Communication
Advanced authentication - OAuth2, social login (Google, GitHub, Microsoft), two-factor authentication, JWT refresh tokens, RBAC, ABAC, SSO integration, AI-powered leave analytics (leave pattern prediction, absence forecasting, leave anomaly detection), chatbot for leave queries (OpenAI API, LangChain), smart leave recommendations, team calendar, real-time notifications with WebSockets (Django Channels, Socket.IO), push notifications (Firebase, OneSignal), email automation, SMS integration, in-app notification center, activity logs, audit trails, multi-tenant architecture.
W7-8: Weeks 7-8: Admin Panel, Analytics, REST APIs, and Microservices
Advanced admin panel - user management, employee management, department management, leave type management, holiday management, leave approval/rejection workflows, reports - leave summary, leave balance report, monthly leave report, department-wise report, employee-wise report, attrition analysis, Chart.js/Plotly dashboards, KPI tracking, export to Excel/CSV/PDF, REST API design, GraphQL basics, API versioning, API documentation (Swagger/OpenAPI), API rate limiting, API security, microservices architecture, service discovery, API gateway, inter-service communication, message queues, event-driven architecture, monolith vs microservices, migration strategies.
W9-10: Weeks 9-10: Testing, DevOps, Docker, Kubernetes, and Cloud Deployment
Testing - unit testing (pytest), integration testing, end-to-end testing (Selenium, Playwright), test coverage, mocking, TDD, BDD, performance testing (Locust), security testing, DevOps fundamentals, Git workflows (feature branching, GitFlow), CI/CD with GitHub Actions/GitLab CI/Jenkins, Docker - Dockerfile, images, containers, Docker Compose, multi-stage builds, Kubernetes - pods, services, deployments, ingress, ConfigMaps, Secrets, Helm charts, cloud deployment - AWS (EC2, RDS, S3, Lambda, ECS, EKS), GCP (GCE, Cloud SQL, GKE), Azure, Heroku, Render, Railway, domain setup, SSL, monitoring (Prometheus, Grafana), logging (ELK stack), error tracking (Sentry).
W11-12: Weeks 11-12: Research, Live Projects, and Certification
Research methodology, research design, literature review, data collection, data analysis, research report writing, paper writing, live projects - enterprise Leave Management System, multi-tenant architecture, AI-powered features, real-time notifications, cloud deployment, research report, project documentation, resume building, interview preparation, portfolio building, GitHub profile optimization, LinkedIn optimization, viva-voce examination, feedback session, certificate distribution.
Key Features
What You'll Learn
Examination Details
| Exam Name | Full Marks | Pass Marks |
|---|---|---|
| Module-wise Assessment | 100 | 40 |
| Project Evaluation | 100 | 50 |
| Research Report | 100 | 50 |
| Final Presentation | 50 | 25 |
| Viva-Voce | 50 | 25 |
Internship Details
Prerequisites
- Pursuing or completed B.Tech/B.E./BCA/MCA/M.Sc. in Computer Science, IT, or related field
- Strong knowledge of Python programming
- Basic knowledge of web development (HTML/CSS/JS)
- Basic knowledge of databases
- Interest in enterprise web development and DevOps
Who Can Enroll ?
- B.Tech Computer Science students (5th to 8th semester)
- B.E. IT students
- BCA students (5th to 6th semester)
- MCA students
- M.Sc. Computer Science students
- Python developers
- HR tech enthusiasts
- Working professionals wanting to upskill
- Students from all over India seeking advanced practical training
Certificate Preview
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