Qualification Level

Duration

3/6 months

Eligibility

Any Degree holders – BCA, BSc, BTech, BCom, BA, MSc, MCA etc.

Certification Authority

IIRDC Nexora Skill Certification

Course Overview:

Python is the most in-demand programming language in the world, widely used in web development, automation, AI, machine learning, data science, and cyber security.
This course equips learners with real-world coding skills, industry tools, and job-ready capabilities to start a strong IT career.

Overview of the Industrial Impact:

Python is now the backbone of modern technology:

Used widely in:

  • Software Development & IT Services
  • Artificial Intelligence & Machine Learning
  • Data Science & Analytics
  • Cyber Security
  • Automation & Robotics
  • Web Development
  • Internet of Things (IoT)
  • Cloud & DevOps

Every major company—from startups to global tech giants—uses Python for scalable, efficient, and rapid development.

Course Modules

    • 1. Introduction to Python
    • 2. Variables, Data Types & Operators
    • 3. Control Statements
    • 4. Functions & Modules
    • 5. File Handling
    • 6. Object-Oriented Programming (OOP)
    • 7. Error Handling & Debugging
    • 8. Data Structures – Lists, Tuples, Sets, Dictionaries
    • 9. Python Libraries – NumPy, Pandas, Matplotlib
    • 10. Database Integration – MySQL
    • 11. Introduction to Django / Flask
    • 12. API Integration
    • 13. Automation with Python
    • 14. Python for AI/ML – Basics
    • 15. Live Projects & Assessments
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Management Projects
  • 1. Python-based Inventory Management System
  • 2. Automated Report Generator
  • 3. Data Visualization Dashboard
  • 4. Web Application using Django
  • 5. API-based Integration Project
  • 6. Automation Script Planning & Execution
Training Includes
  • 1. 100% Practical Coding Sessions
  • 2. Real-time Python Projects
  • 3. GitHub Portfolio Development
  • 4. Assignments + Mock Tests
  • 5. Internship Support
  • 6. Career Mentoring & Interviews Preparation
Key Areas of the Course
  • 1. Python Core & Advanced
  • 2. Web Development
  • 3. Data Science Basics
  • 4. Automation Scripting
  • 5. Database Connectivity
  • 6. API-based Development
  • 7. Software Development Foundations
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Learning Outcome

Learning Outcomes

  • Write clean, efficient Python programs
  • Build dynamic web applications
  • Work with databases, APIs & libraries
  • Perform automation tasks
  • Use Python for data handling and visualization
  • Create complete real-world software projects
  • Build a job-ready portfolio
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Career Growth

Entry Level →
Python Developer → Software Engineer → Full Stack Developer → Data Analyst → ML Developer → Technical Lead

Python developers enjoy strong global demand and high salary packages.

Industry Expectations

Companies expect Python professionals who can solve problems using logical coding, build backend systems, automate manual tasks, manage data operations, work with frameworks & APIs, and integrate software modules. This course prepares learners for these essential industry requirements.

  • Solve Problems Using Logical Coding
  • Build Backend Systems
  • Automate Manual Tasks
  • Manage Data Operations
  • Work with Frameworks & APIs
  • Integrate Software Modules

Placement opportunities

Placement Opportunities After the Course

  • Python Developer
  • Backend Developer
  • Software Engineer
  • Automation Engineer
  • Junior Data Analyst
  • Web Developer (Django/Flask)
  • AI/ML Assistant Engineer
  • IT Support Automation Specialist

Hiring sectors:

  • ✔ IT Companies
  • ✔ Software Startups
  • ✔ AI & Data Science Firms
  • ✔ Automation Service Providers
  • ✔ Digital Agencies
  • ✔ Cloud & DevOps Companies

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