Description
Course Name: Certificate in Python Advance
Course Id: CPA/Q1001.
Eligibility: 10th Grade (high school) or Equivalent.
Objective: To equip learners with comprehensive knowledge and hands-on experience in advanced Python programming concepts including object-oriented programming, data structures, multithreading, functional programming, file handling, and database connectivity, enabling them to build robust, efficient, and scalable software applications.
Duration: Two Month.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this module.
| Marking System: | ||||||
| S.No. | No. of Questions | Marks Each Question | Total Marks | |||
| 1 | 10 | 5 | 50 | |||
| 2 | 5 | 4 | 20 | |||
| 3 | 5 | 3 | 15 | |||
| 4 | 5 | 2 | 10 | |||
| 5 | 5 | 1 | 5 | |||
| 30 | 100 | |||||
| How Students will be Graded: | ||||||
| S.No. | Marks | Grade | ||||
| 1 | 91-100 | O (Outstanding) | ||||
| 2 | 81-90 | A+ (Excellent) | ||||
| 3 | 71-80 | A (Very Good) | ||||
| 4 | 61-70 | B (Good) | ||||
| 5 | 51-60 | C (Average) | ||||
| 6 | 40-50 | P (Pass) | ||||
| 7 | 0-40 | F (Fail) | ||||
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Syllabus
Advanced Python Programming Concepts: Iterators and generators, Decorators and closures, Lambda functions and functional programming, Context managers and the with statement, Comprehensions (list, dict, set), Error handling and custom exceptions, Modules and packages, File handling and serialization (pickle, JSON), Regular expressions, Advanced string manipulation.
Object-Oriented Programming in Python: Classes and objects in depth, Inheritance and polymorphism, Encapsulation and abstraction, Method resolution order (MRO), Special (magic/dunder) methods, Class methods and static methods, Composition vs inheritance, Property decorators, Object introspection and reflection, Design patterns using Python.
Working with Databases and SQL: Introduction to SQL with Python, Connecting to databases using sqlite3 and mysql, connector, Performing CRUD operations, Using ORM with SQLAlchemy, Transactions and error handling, Joins and complex queries, Connection pooling, Data sanitization and protection from SQL injection, Working with PostgreSQL, Database performance optimization.
Multithreading and Multiprocessing: Difference between threading and multiprocessing, The threading module, Using Queue and Lock in threads, GIL (Global Interpreter Lock) explanation, multiprocessing module and use cases, Process pools and worker threads, Performance tuning and benchmarking, Async programming with asyncio, Coroutines and event loop, Concurrency vs parallelism.
Web Development with Flask and Django: Flask project structure and routing, Flask templates and Jinja2, Form handling and validation in Flask, Django project structure and admin interface, Models and ORM in Django, Django templates and static files, URL dispatching and views in Django, Middleware and decorators in Django, REST API development with Django REST Framework, Authentication and authorization.
Data Analysis and Visualization: Using NumPy for array operations, Data manipulation with Pandas, Data cleaning and preprocessing, Merging and grouping data, Time series analysis, Data visualization with Matplotlib, Seaborn for advanced visualizations, Plotly for interactive charts, Exporting and importing datasets, Basic statistics for data analysis.
Job Opportunities after Certificate in Python Advance
Graduates can pursue high-paying careers in machine learning, artificial intelligence, data science, backend development, cloud computing, DevOps, blockchain, automation, full-stack development, and software engineering across the global tech industry.
Top Roles: Machine Learning Engineer, Data Scientist, Python Developer (Advanced), Data Engineer, DevOps Engineer, AI Engineer, Cloud Engineer, Blockchain Developer, Full Stack Developer, Python Trainer/Instructor
Key Skills: Advanced Python programming, data structures & algorithms, machine learning & deep learning, AI/ML frameworks (TensorFlow, PyTorch, Keras), backend frameworks (Django, Flask, FastAPI), APIs, cloud platforms (AWS/Azure/GCP), data pipelines, automation, debugging, and system design basics.
Salary Range (India):
- Entry-level: ₹4–8 LPA
- Mid-level: ₹8–16 LPA
- Senior-level: ₹15–30+ LPA
Scope: Opportunities exist in IT companies, product-based firms, AI startups, fintech, cloud service providers, blockchain companies, data analytics firms, and global tech organizations. Graduates can also work as freelancers or build independent tech solutions. Salaries vary based on specialization, experience, company type, and location.
