Description
Course Name: Certificate in Python Machine Learning
Course Id: CPML/Q1001.
Eligibility: 10th Grade (high school) or Equivalent.
Duration: Two Month.
Objective: The Certificate in Python Machine Learning course aims to equip learners with comprehensive knowledge and hands-on skills in applying Python programming to solve real-world problems using machine learning techniques. The course focuses on building a strong foundation in Python, data preprocessing, model building, evaluation, and deployment, enabling students to design intelligent systems and data-driven solutions.
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
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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.