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Online Course Certificate in Python Programming

Certificate in Python Advance

Rs.5,000 Rs.2,500

Enroll your course today to avail 50% discount offer, Diploma is valid for all type of Employment.

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Description

Course Name: Certificate in Python Advance

Course Id: CPA/Q1001.
Education Qualification: 10th Pass.

Duration: 90 Hrs (Equivalent to 3 Months).

How You will Get Diploma Certificate:

Step 1- Select your Course for Certification.

Step 2- Click on Enroll Now.

Step 3- Proceed to Enroll Now.

Step 4- Fill Your Billing Details and Proceed to Pay.

Step 5- You Will be Redirected to Payment Gateway, Pay Course and Exam Fee by Following Options.

Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 6- After Payment You will get Study Material Login id and Password on your email id.

Step 7- After Completion of  Course Study give Online Examination.

Step 8- After Online Examination you will get Diploma Certificate soft copy(Scan Copy) and Hard Copy(Original With Seal and Sign).

Step 9- After Certification you will receive Prospect Job Opportunities as per your Interest Area.

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.

Benefits of Certification:

  • Government Authorized Assessment Agency Certification.
  • Certificate Valid for Lifetime.
  • Lifetime Verification of Certificate.
  • Free Job Assistance as per your Interest Area.

Syllabus

Advanced Object-Oriented Programming: Introduction, Higher or Lower Card Game, Representing the Data, Building Software Models of Physical Objects, Differences Between Functions and Methods, Revisiting the Dimmerswitch Class, Bank Account Class, Multiple Objects With Unique Identifiers, the Raise Statement and Custom Exceptions, Event-driven Programs, Interpretations of Encapsulation, Timer Demonstration Program, Simpleanimation Class.

Advanced python data structures: Python Primer, Object Oriented Programming, Array Based Sequences, Maps Hash Tables, and Skip Lists, Sorting and Selection, Memory Management and BTrees, Text Processing, Graph Algorithms.

Functional Programming in Python: Introducing Some Functional Features, Functions Iterators and Generators, Higher order Functions, the Functools Module,  Decorator Design Techniques, Conditional Expressions and the Operator Module, a Functional Approach to Web Services.

Networking and Multithreading in Python: Introduction, Modifying a Socket’s Send/receive Buffer Sizes, Multiplexing Socket  for Better Performance, Finding the Ip Address for a Specific Interface on Your Machine, Programming With Http for the Internet, Email Protocols, FTP and CGI Programming, Programming Across Machine Boundaries, Network Modeling, Network Monitoring and Security, Open and Proprietary Networking Solutions, Programming the Internet.

Python for Data Science and Data Analysis: Preliminaries, Python Language Basics, Ipython, and Jupyter Notebooks, Built in Data Structures, Functions, and Files, Getting Started With Pandas, Data Loading, Storage, and File Formats, Data Cleaning and Preparation, Time Series, Introduction to Modeling Libraries in Python.

Web Development with Python: Introduction, Python Frameworks, Pyramid Framework, Dash Framework, Choosing a Better Framework.

Job Opportunities after completion of Certificate in Python Advance course:

After successful completion of the Certificate in Python Advance program, graduates have a wide range of career opportunities in various high-demand fields, thanks to the advanced Python skills they acquire. Python is used extensively in fields such as web development, data science, machine learning, artificial intelligence, software development, and automation. The advanced knowledge in Python can significantly enhance career prospects, especially in specialized roles.

Career Options After Completing the Certificate in Python Advance

1. Machine Learning Engineer

Role: Machine learning engineers use advanced Python skills to design, develop, and deploy machine learning models. Python’s libraries like TensorFlow, PyTorch, and Keras are commonly used in building predictive models, deep learning, and data processing tasks. Key Responsibilities:

  • Developing machine learning algorithms and models.
  • Training and testing models with large datasets.
  • Implementing deep learning techniques.
  • Deploying models into production environments.
  • Optimizing models for performance and accuracy. Salary Range:
  • Entry-Level: ₹5,00,000 – ₹8,00,000 per year.
  • Mid-Level: ₹10,00,000 – ₹15,00,000 per year.
  • Senior-Level: ₹18,00,000 – ₹25,00,000 per year.

2. Data Scientist

Role: Advanced Python skills are essential for data scientists who work with large datasets to extract insights, create predictive models, and perform complex data analysis. Key Responsibilities:

  • Data cleaning and pre-processing using libraries like Pandas and NumPy.
  • Building and evaluating machine learning models for data-driven predictions.
  • Visualizing data using libraries like Matplotlib and Seaborn.
  • Communicating insights and findings to stakeholders.
  • Implementing advanced data analysis techniques. Salary Range:
  • Entry-Level: ₹5,00,000 – ₹8,00,000 per year.
  • Mid-Level: ₹9,00,000 – ₹14,00,000 per year.
  • Senior-Level: ₹15,00,000 – ₹25,00,000 per year.

3. Python Developer (Advanced)

Role: Python developers with advanced skills design, develop, and deploy complex applications using Python frameworks like Django, Flask, or FastAPI. They often work on large-scale projects, integrating multiple systems and optimizing performance. Key Responsibilities:

  • Building and maintaining backend systems for web and mobile applications.
  • Integrating databases with applications.
  • Creating APIs and handling requests.
  • Writing efficient, scalable code using advanced Python concepts.
  • Debugging and optimizing code. Salary Range:
  • Entry-Level: ₹4,00,000 – ₹7,00,000 per year.
  • Mid-Level: ₹8,00,000 – ₹12,00,000 per year.
  • Senior-Level: ₹12,00,000 – ₹20,00,000 per year.

4. Data Engineer

Role: Data engineers design and build systems that allow organizations to process and manage data efficiently. They work with Python to build data pipelines, manage databases, and ensure that data is accessible for analysis. Key Responsibilities:

  • Designing and implementing scalable data pipelines.
  • Cleaning, processing, and transforming data for analysis.
  • Collaborating with data scientists to optimize models.
  • Managing cloud-based data storage solutions.
  • Ensuring data security and compliance. Salary Range:
  • Entry-Level: ₹5,00,000 – ₹8,00,000 per year.
  • Mid-Level: ₹9,00,000 – ₹14,00,000 per year.
  • Senior-Level: ₹15,00,000 – ₹22,00,000 per year.

5. DevOps Engineer

Role: DevOps engineers with advanced Python skills focus on automating the software development lifecycle, including deployment, integration, and operations. Python is used in creating automation scripts and managing infrastructure. Key Responsibilities:

  • Automating CI/CD pipelines using Python scripts.
  • Developing tools for system monitoring and management.
  • Working with cloud platforms (AWS, Azure) for automation.
  • Managing and scaling infrastructure.
  • Troubleshooting and ensuring the reliability of systems. Salary Range:
  • Entry-Level: ₹4,50,000 – ₹7,00,000 per year.
  • Mid-Level: ₹8,00,000 – ₹12,00,000 per year.
  • Senior-Level: ₹14,00,000 – ₹22,00,000 per year.

6. Artificial Intelligence (AI) Engineer

Role: AI engineers work with Python to create systems that simulate human intelligence. Python is widely used in building AI-based applications, including natural language processing (NLP), robotics, and intelligent automation systems. Key Responsibilities:

  • Designing and implementing AI models for automation and decision-making.
  • Working with libraries like TensorFlow, Keras, and PyTorch to build AI systems.
  • Integrating AI into products and services.
  • Optimizing AI systems for better accuracy and performance. Salary Range:
  • Entry-Level: ₹6,00,000 – ₹9,00,000 per year.
  • Mid-Level: ₹10,00,000 – ₹16,00,000 per year.
  • Senior-Level: ₹18,00,000 – ₹30,00,000 per year.

7. Cloud Engineer (Python Focus)

Role: Cloud engineers leverage Python for automation and optimization of cloud computing tasks, including managing cloud infrastructure, deploying applications, and working with cloud-native technologies. Key Responsibilities:

  • Automating cloud infrastructure using Python scripts.
  • Building cloud-based applications and services.
  • Integrating cloud services with on-premise systems.
  • Ensuring scalability, security, and performance of cloud environments. Salary Range:
  • Entry-Level: ₹4,50,000 – ₹7,00,000 per year.
  • Mid-Level: ₹8,00,000 – ₹12,00,000 per year.
  • Senior-Level: ₹14,00,000 – ₹22,00,000 per year.

8. Blockchain Developer

Role: Python is used in blockchain development, particularly in the creation of decentralized applications (dApps) and smart contracts. Blockchain developers with Python knowledge are highly sought after in the growing blockchain industry. Key Responsibilities:

  • Designing and developing blockchain-based applications.
  • Implementing smart contracts and decentralized applications.
  • Working with blockchain technologies like Ethereum, Hyperledger, and others.
  • Securing blockchain systems and ensuring scalability. Salary Range:
  • Entry-Level: ₹6,00,000 – ₹10,00,000 per year.
  • Mid-Level: ₹12,00,000 – ₹18,00,000 per year.
  • Senior-Level: ₹20,00,000 – ₹30,00,000 per year.

9. Full Stack Developer (Python-based)

Role: Full stack developers with advanced Python skills work on both the frontend and backend of applications. They use Python for backend development with frameworks like Django and Flask while integrating frontend technologies like HTML, CSS, and JavaScript. Key Responsibilities:

  • Designing and developing full-stack applications.
  • Writing and optimizing Python-based backend services.
  • Ensuring seamless interaction between front-end and back-end technologies.
  • Managing databases and ensuring data security. Salary Range:
  • Entry-Level: ₹4,00,000 – ₹7,00,000 per year.
  • Mid-Level: ₹8,00,000 – ₹12,00,000 per year.
  • Senior-Level: ₹12,00,000 – ₹20,00,000 per year.

10. Python Trainer/Instructor

Role: Experienced Python developers can also take up teaching or mentoring roles. They can conduct training sessions, workshops, and online courses, educating individuals or corporate teams on advanced Python topics. Key Responsibilities:

  • Designing training programs and materials.
  • Conducting Python workshops and online courses.
  • Helping students with practical coding exercises.
  • Providing one-on-one mentoring for advanced topics. Salary Range:
  • Entry-Level: ₹25,000 – ₹40,000 per month.
  • Mid-Level: ₹50,000 – ₹80,000 per month.
  • Senior-Level: ₹1,00,000 – ₹1,50,000 per month.

Freelance Opportunities:

Graduates can explore freelance projects in:

  • Freelance Python Developer: Working with clients on web development, automation, or custom software solutions.
  • Freelance Data Scientist/Analyst: Providing data analysis, predictive modeling, and data visualization services.
  • Freelance AI/ML Engineer: Building and deploying machine learning models for clients.
  • Freelance Cloud Engineer: Managing cloud infrastructure and automating cloud-based processes.

Freelancer Salary Range:

  • Entry-Level: ₹25,000 – ₹40,000 per month.
  • Mid-Level: ₹50,000 – ₹80,000 per month.
  • Senior-Level: ₹1,00,000 – ₹1,50,000 per month.

Factors Affecting Salaries:

  • Experience: As in most technical fields, the more experience you have, the higher your salary.
  • Location: Major tech hubs like Bengaluru, Hyderabad, Pune, and Delhi offer higher salaries due to the demand for Python expertise.
  • Industry: Salaries can vary depending on the sector, with roles in AI, machine learning, and blockchain generally commanding higher salaries.
  • Company Size: Larger companies and startups often offer better compensation packages compared to smaller firms.

Conclusion:

Graduates of the Certificate in Python Advanced program are well-positioned to enter high-paying roles in machine learning, data science, artificial intelligence, web development, cloud engineering, and more. Python’s widespread use across industries and its versatility makes it one of the most sought-after programming languages, ensuring graduates have strong career prospects and attractive salaries in India.

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