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Certificate in Python Machine Learning

Rs.5,000 Rs.2,500

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

Python’s readability and ease of use make it an ideal language for beginners, while its scalability and performance make it suitable for complex projects. The Python language career offers great scope. The demand for Python developers continues to grow, offering a promising job market and competitive salaries.

Description

Course Name: Certificate in Python Machine Learning

Course Id: CPML/Q1001.
Education Qualification: 12th Pass.

Duration: 90 Hrs.

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.

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)

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

Introduction to python :  Installing python, idle, a first program, typing things in, getting input, Printing, variables, for loops, the loop variable, numbers, math operators, random numbers, If statements, simple debugging, strings, more with lists, while loops.

Python Basics: Introduction, setting up python, your first python program, strings and strings method, numbers and math, functions and loops, finding and fixing code bugs, conditional logic and control law, tuples, lists and dictionaries, objected-oriented programming (OOP), modules and packages, file input and output, installing package with pip, creating and  modifying PDF files, working with database, interacting with the web.

Learning Python: Python and types, calling a function, functions without returns, function overloading? No. Default values for arguments, keyword arguments, functions are first- class objects, lambda notation, map filter, reduce, functional programming.

Data Science & Machine Learning :Python installation, string operation, data structure in python, control loop & statements in python, Data Science & Machine Learning, Benefits & Uses of Data Science, Facet of Data, Data Science Process, handling large data on single computer.

Python Machine Learning for Beginners: Introduction and environment set up, Python crash course, Python numpy library for data analysis, Introduction to pandas library for data analysis, Machine learning.

Python for beginners: string operation, data structure in python, control loop & statements in python, Data Science & Machine Learning, Benefits & Uses of Data Science, Facet of Data, Data Science Process, handling large data on single computer.

Job Opportunities after completion of Certificate in Python Machine Learning Course:

After successful completion of the Certificate in Python Machine Learning program, graduates are equipped with the skills necessary to build and implement machine learning models using Python. Python is one of the most widely used programming languages in the field of data science, artificial intelligence, and machine learning, making this certification highly valuable for those pursuing a career in these fields.

Career Options for Graduates

  1. Machine Learning Engineer
    • Role: Machine Learning Engineers design and implement machine learning models, optimize algorithms, and work with large datasets. They are responsible for building systems that can learn from and make predictions or decisions based on data.
    • Salary Range: ₹5,00,000 to ₹12,00,000 annually (entry-level); ₹12,00,000 to ₹20,00,000 annually (experienced).
    • Industries: Technology companies, e-commerce, finance, healthcare, and automotive sectors.
  2. Data Scientist
    • Role: Data Scientists analyze large sets of structured and unstructured data, build machine learning models, and provide insights using data. They also help organizations in decision-making processes by interpreting complex data.
    • Salary Range: ₹6,00,000 to ₹12,00,000 annually (entry-level); ₹12,00,000 to ₹25,00,000 annually (experienced).
    • Industries: IT, finance, e-commerce, healthcare, and research organizations.
  3. Data Analyst
    • Role: Data Analysts collect, process, and analyze data to help companies make data-driven decisions. They often work with Python for data cleaning, analysis, and visualization.
    • Salary Range: ₹4,00,000 to ₹8,00,000 annually (entry-level); ₹8,00,000 to ₹15,00,000 annually (experienced).
    • Industries: Retail, marketing, healthcare, IT, and financial services.
  4. AI Engineer
    • Role: AI Engineers build systems that mimic human intelligence. They work with machine learning models, deep learning techniques, and AI algorithms to create intelligent applications.
    • Salary Range: ₹7,00,000 to ₹15,00,000 annually (entry-level); ₹15,00,000 to ₹25,00,000 annually (experienced).
    • Industries: Technology companies, research and development firms, autonomous vehicle companies, robotics, and AI startups.
  5. Python Developer (Machine Learning Focus)
    • Role: Python Developers with a focus on machine learning are responsible for writing code that implements machine learning algorithms and models. They collaborate with data scientists and engineers to deploy machine learning solutions.
    • Salary Range: ₹4,50,000 to ₹9,00,000 annually (entry-level); ₹9,00,000 to ₹15,00,000 annually (experienced).
    • Industries: IT services, software companies, finance, e-commerce, and healthcare.
  6. Business Intelligence Analyst
    • Role: Business Intelligence Analysts use data analytics and machine learning to interpret business trends, create data models, and generate reports that inform strategic decisions.
    • Salary Range: ₹5,00,000 to ₹9,00,000 annually (entry-level); ₹9,00,000 to ₹15,00,000 annually (experienced).
    • Industries: Retail, IT, marketing, and corporate sectors.
  7. Deep Learning Engineer
    • Role: Deep Learning Engineers design and build deep learning models, a subset of machine learning. They typically work with neural networks and large datasets for complex tasks like image recognition, natural language processing, and more.
    • Salary Range: ₹6,00,000 to ₹12,00,000 annually (entry-level); ₹12,00,000 to ₹20,00,000 annually (experienced).
    • Industries: AI, autonomous systems, robotics, healthcare, and finance.
  8. Natural Language Processing (NLP) Engineer
    • Role: NLP Engineers specialize in the interaction between computers and human language. They develop models and algorithms to process and understand human language, enabling applications like chatbots, speech recognition, and translation systems.
    • Salary Range: ₹5,00,000 to ₹10,00,000 annually (entry-level); ₹10,00,000 to ₹18,00,000 annually (experienced).
    • Industries: Tech companies, finance, healthcare, and AI research.
  9. Research Scientist (AI/ML)
    • Role: Research Scientists in AI and Machine Learning conduct advanced research to develop new algorithms, improve existing models, and push the boundaries of machine learning technologies.
    • Salary Range: ₹8,00,000 to ₹15,00,000 annually (entry-level); ₹15,00,000 to ₹30,00,000 annually (experienced).
    • Industries: Academic institutions, research organizations, tech companies, and AI startups.
  10. Quantitative Analyst (Quant)
    • Role: Quantitative Analysts apply mathematical models and algorithms to analyze financial markets and assist in investment decision-making. Python and machine learning play a key role in developing predictive models for trading strategies.
    • Salary Range: ₹7,00,000 to ₹15,00,000 annually (entry-level); ₹15,00,000 to ₹25,00,000 annually (experienced).
    • Industries: Investment banks, hedge funds, financial institutions.

Salary Overview by Experience

  • Entry-Level (0-2 years experience): ₹4,00,000 to ₹8,00,000 annually
  • Mid-Level (3-5 years experience): ₹8,00,000 to ₹15,00,000 annually
  • Experienced (5+ years experience): ₹15,00,000 to ₹30,00,000 annually

Industries Hiring Python Machine Learning Graduates

  • Information Technology (IT) and Software Development
  • E-commerce
  • Financial Services and Banking
  • Healthcare and Pharmaceuticals
  • Automotive and Autonomous Vehicles
  • Research and Development
  • AI Startups
  • Telecommunications
  • Retail and Marketing
  • Government and Defense

Conclusion

Graduates with a Certificate in Python Machine Learning can explore a wide range of career options in data science, machine learning, artificial intelligence, and business intelligence. With Python being one of the leading programming languages in these fields, there is high demand for skilled professionals who can leverage machine learning algorithms to drive business growth and innovation. The salary range varies depending on the job role and experience level, with highly experienced professionals in roles such as AI Engineers, Data Scientists, and Machine Learning Engineers commanding top salaries.

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