60-hour course
The six-module curriculum allocates 60 hours, including practical training and assessment.
SOFTWARE ENGINEERINGCURRICULUM PREVIEW
Python Programming
Course fee: INR 12,000 + 18% GST (INR 2,160). Total including GST: INR 14,160.
Confirm exclusions, materials, assessments and payment options with admissions.
Simple code. Big possibilities.
60 hourscourse duration
Dates to be announcedupcoming batch
Confirm available training optionslearning mode
Course duration: 60 hours. Contact admissions for batch dates, daily timings and delivery arrangements.
Program Overview
A beginner-friendly path from first code to practical programs
Beginner-friendly
Start with Python and programming basics; previous coding experience is not required.
Practical coding
Build confidence through guided coding exercises, assignments, and debugging practice.
Mini-project
Apply course topics in a guided project and practical assessment.
Python Programming is a beginner-friendly course designed to help students build a strong foundation in programming and problem-solving. With its simple syntax and wide range of applications, Python is used in software development, data science, artificial intelligence, web development, and automation.
Read moreRead less
At E Careerpluz, learners progress from basic programming concepts to writing reusable programs, working with files, handling errors, and developing practical applications. The course combines instructor-led sessions, coding exercises, guided projects, and practical assignments.
The six-module curriculum totals 60 hours, including practical training and assessment. Advanced frameworks such as Django, Flask, and machine-learning libraries may be covered in subsequent courses.
What you will learn
- Start with approachable syntax and programming fundamentals.
- Build problem-solving skills through coding exercises.
- Practise reusable programs, file handling, and error handling.
- Apply concepts in guided assignments and a mini-project.
- Create a foundation for further Python, automation, analytics, or AI study.
Who should enroll?
School and college students
Explore programming and logical problem-solving through structured practice.
Graduates
Build foundational programming skills while preparing for further IT learning.
Beginners
Start learning to code without prior programming experience.
Working professionals
Strengthen technical skills through a practical Python introduction.
Entrepreneurs and business owners
Explore introductory programming concepts that may support future automation learning.
Eligibility
- No prior programming experience is required.
- Basic computer familiarity and willingness to practise are helpful.
- Confirm any formal entry requirements, supported devices, software setup, and batch details with ECAREERPLUZ.
Curriculum Preview
The six modules progress from Python setup and fundamental logic through data structures, functions, files, object-oriented basics, libraries, and project work.
Module 1: Introduction to Python · 6 hours
- Introduction to programming and Python
- Installing Python and setting up an IDE
- Variables, data types, and naming rules
- Input, output, comments, and operators
Module 2: Control Statements and Loops · 8 hours
- Conditional statements: if, elif, and else
- for and while loops
- break, continue, and pass
- Logical thinking and coding exercises
Module 3: Data Structures and Functions · 12 hours
- Strings and string operations
- Lists, tuples, sets, and dictionaries
- Functions, parameters, and return values
- Scope, modules, and code reuse
Module 4: Files, Errors, and OOP · 12 hours
- File handling and data storage
- Exception handling and debugging
- Classes, objects, and constructors
- Inheritance and encapsulation basics
Module 5: Libraries and Practical Applications · 8 hours
- Introduction to Python libraries
- Working with CSV and JSON data
- Using standard library modules
- Introduction to virtual environments and packages
Module 6: Mini Project and Assessment · 14 hours
- Project planning and program development
- Testing, debugging, and code improvement
- Project demonstration and documentation
- Practical assessment and feedback
The six-module plan adds up to 60 hours, including practical training and assessment. Confirm the final schedule and module delivery with ECAREERPLUZ.
Tools & Technologies
Python, editors, and practical developer tools
Explore a beginner programming workflow: write Python code, run and debug programs, practise in an interactive notebook, and organise project files.
Python programming
Python 3
Learn syntax, logic, functions, data structures, file operations, and application development.
Code editors and IDEs
Visual Studio Code
Write, organise, run, and debug Python programs using a code editor configured for Python.
Python IDLE
Practise foundational concepts in a simple environment suited to beginner exercises.
Data and interactive practice
CSV, JSON, and Jupyter Notebook (introduction)
Explore structured data files and interactive Python practice as described.
Version control
Git and GitHub (introduction)
Learn version-control basics for preserving project history and organising code repositories.
Tool names illustrate the learning plan and do not confirm included subscriptions, provider partnerships, or account access. Confirm device and software requirements with ECAREERPLUZ. Tools are introduced according to the course plan and learner progress. Confirm supported versions, setup requirements, and account access with ECAREERPLUZ. Django, Flask, and machine-learning libraries are not confirmed as part of this introductory course and may be covered in subsequent programs.
Projects & Practical Work
Guided projects that apply Python fundamentals
Build confidence through useful, beginner-oriented application ideas. The scope and features may be adjusted to match learner progress and available course time.
PROJECT 1
Student Management System
Create a basic application to add student details, display records, search for students, and update information.
Functions, lists, dictionaries, file handling
PROJECT 2
Personal Expense Tracker
Record daily expenses, categorise spending, and calculate totals using Python.
Loops, functions, data structures, CSV files
PROJECT 3
Quiz Application
Build a question-and-answer program that checks responses and calculates scores.
Conditional statements, loops, functions
PROJECT 4
File Organizer Automation
Write a script that sorts files into folders based on file type using suitable standard-library tools.
File handling, pathlib, operating system modules
Practical learning approach
- Complete guided coding exercises after each module.
- Practise problem-solving challenges and debugging common errors.
- Build mini-projects with instructor feedback.
- Present a final project and participate in practical assessment.
Project scope and complexity depend on learner progress and the time available during the 60-hour course. Confirm the final activities and assessment format with ECAREERPLUZ.
Learning Goals
Build Python skills step by step
By the end of this 60-hour program, learners should be able to:
Understand Python syntax and fundamental programming concepts.
Write programs using conditions, loops, functions, and data structures.
Work with files and structured data such as CSV and JSON.
Understand basic object-oriented programming.
Identify and debug common coding errors.
Develop small Python applications independently with appropriate guidance.
Use essential programming tools and maintain organized code.
Build a foundation for further learning in web development, automation, AI, and data analytics.
This course builds a foundation for further study. Advanced roles and applications require continued practice and additional role-specific skills.
Industry Salary Growth & Business Opportunities
Explore possible directions after building Python fundamentals
Python skills may support further learning across software development, testing, application support, data analysis, and automation. Actual salaries and eligibility depend on location, experience, technical ability, employer requirements, and project portfolio.
Career pathways
Python Trainee / Intern
An introductory direction that typically requires practice, coding fundamentals, and readiness to learn in a team.
Junior Python Developer
An early-career pathway involving Python application features, debugging, and collaborative development.
Software Testing and Automation Trainee
A potential direction requiring further testing knowledge, automation practice, and role-specific tools.
Application Support Engineer
A related direction that may require troubleshooting, communication, and additional platform knowledge.
Junior Data Analyst or Automation Developer
Possible next directions with further data, reporting, automation, and project experience.
Indicative salary progression in India
Compare these planning ranges with current local opportunities. Pay varies by role, qualifications, experience and employer.
Python Trainee / Intern
₹1.5–3 LPAIndicative annual range in India; actual offers vary.Junior Python Developer
₹2.5–5 LPAIndicative annual range in India; actual offers vary.Python Developer
₹4–8 LPAIndicative annual range in India; actual offers vary.Experienced / Specialized Developer
₹8–15+ LPAIndicative annual range; additional skills and experience may be required.Business opportunities
- Automation scripts | Explore small task-automation projects with appropriate practice.
- Data-processing utilities | Develop simple tools for organising and processing data.
- Custom business tools | Prototype small utilities and report generators for business workflows.
- Basic application prototypes | Build and demonstrate introductory programming projects.
Build your future: Larger commercial projects may require databases, web frameworks, security practices, deployment knowledge, and client-management skills beyond this introductory course.
Placement Assistance
Career preparation and professional development
ECAREERPLUZ may support learners with career-readiness activities. Confirm the institution's actual placement services, eligibility, and available opportunities before enrolment.
Career support services
Resume preparation
Present programming skills, projects, education, and technical achievements effectively.
Technical interview preparation
Practise Python fundamentals, coding questions, logic, and problem-solving.
Mock interviews
Improve communication, confidence, and technical explanations through practice.
Portfolio development
Organise mini-projects and code samples for presentation to potential employers.
Career guidance
Explore suitable job roles and identify relevant next skills.
Job opportunity updates
Relevant openings may be shared when available, subject to the institution's actual services and requirements.
Placement support and opportunity updates depend on actual institutional services and availability.
Certification information
Certificate eligibility, the issuing authority, and course-completion requirements should be confirmed with ECAREERPLUZ.
Certificate eligibility depends on the institution's course-completion and assessment requirements. Contact ECAREERPLUZ for applicable certification details.
Completion requirements
Confirm attendance and course-completion criteria with the institution.
Assessment policy
Ask whether assignments, project demonstrations, or a practical assessment are required.
Certificate details
Confirm the issuing authority and certificate format before enrolment.
Example learning journeys
Real practice. Growing confidence. New possibilities.
Explore example software engineering projects and learning journeys.
Example learning journey01
From Beginner to Programmer
Beginner learner
A beginner practises Python fundamentals and uses coding exercises to develop a first guided application.
Practice focus: Builds a sample program and a foundation for further Python learning.
Example learning journey02
Building Confidence Through Practice
College student
A college student practises functions, loops, data structures, and debugging through practical assignments.
Practice focus: Documents coding practice and explains a mini-project.
Example learning journey03
Learning Through Projects
Project-based learner
A learner connects programming concepts to practical applications and plans further technical learning.
Practice focus: Presents a guided project and identifies suitable next learning steps.
Data-Driven Learning, Delivered with Quality
Practise, review, and keep improving
Programming learning can be supported by structured lessons, practical coding, regular progress reviews, and clear feedback.
Our learning approach
Structured learning progress
Review lesson completion, assignments, and progress through the confirmed modules.
Practical coding assessment
Evaluate programming logic, code correctness, debugging, and project implementation.
Performance monitoring
Review quiz results and practical assessments to identify areas for further practice.
Feedback and improvement
Use instructor feedback and learner reviews to refine the learning experience.
Build confidence
Practise writing, testing, and explaining working programs.
What will learners measure?
| Area | Example metrics |
|---|---|
| Module progress | Review lesson completion and progress through the confirmed learning plan. |
| Coding exercises | Discuss logic, code correctness, and debugging practice. |
| Project implementation | Review application features, testing, and the learner's project explanation. |
These learning-quality activities describe this course. Confirm actual teaching, tracking, and assessment arrangements with ECAREERPLUZ.
Meet Your Mentors
Learn from Industry Experts and Experienced Professionals.
Mr. P. PRAKASH RAJ
Software Developer
Mrs. S. SIVANISHA
IT Trainer
Mr. S. MOHAMED RIYAS KHAN
UI & UX Designer
Mr. S. SABARINATHAN
AI AnalystFrequently Asked Questions
Who can join the Python Programming course?
The course is intended for people interested in programming, including school students, college students, graduates, working professionals, and beginners. Confirm formal eligibility with ECAREERPLUZ.
Do I need previous programming experience?
No. The course starts with basic programming concepts and gradually introduces further topics. Basic computer familiarity is helpful.
What is the duration of the course?
The course duration is 60 hours. Contact admissions for batch dates and the detailed timetable.
What will I learn in 60 hours?
The course covers Python fundamentals, control statements, data structures, functions, file handling, exception handling, basic object-oriented programming, libraries, and practical application development.
Will I develop practical projects?
Suggested projects include a student management system, expense tracker, quiz application, and file organizer. Confirm the final activities and assessment with the course team.
Can I get a job after completing this course?
The course builds foundational programming skills for further learning and entry-level exploration. Readiness depends on practical ability, interview performance, portfolio, and employer requirements.
Can I learn Artificial Intelligence after Python?
Python is a useful foundation for further AI and machine-learning study. Additional mathematics, data handling, and specialised libraries may be required.
Is a certificate provided?
Certificate eligibility depends on the institution's course-completion and assessment requirements. Contact ECAREERPLUZ to confirm the applicable details.
Can I attend classes online or offline?
Contact ECAREERPLUZ to confirm the currently available learning modes, batch schedules, and class timings.
What should I learn after Python Programming?
Possible next topics include Full Stack Python Development, Django, Flask, Data Analytics, automation, or AI and Machine Learning, depending on your goals.
What is the course fee, including GST?
Course fee: INR 12,000 + 18% GST (INR 2,160). Total including GST: INR 14,160. Confirm exclusions, materials, assessments and payment options with admissions.
Build your next chapter in software engineering.
Confirm course duration, fees, upcoming batch, learning mode, and final curriculum with our team.
Request course detailsMore in Software Engineering
C / C++ Programming
Build a strong foundation in programming with C and C++, logical problem-solving, debugging, and guided mini-projects. 60 hours.
Java Programming
Build a Java programming foundation through guided lessons, practical coding exercises, object-oriented concepts, and a final project. 75 hours.
Java Full Stack Developer
Build front-end, Java back-end, database, REST API, testing, and deployment foundations through 240 hours of practical, project-based learning.
