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Dual certification in Machine Learning from IIT Madras Pravartak and NSDC

Internshala Trainings certificate

100,000+ companies use Internshala for hiring every year. So a certificate from Internshala is recognized everywhere.

NSDC & Skill India certificate

Also, receive a certificate from NSDC (National Skill Development Corporation) and Skill India

Why Learn Machine Learning?

Be in demand

Youtube recommendations, Google search, and surge pricing in Uber - Machine Learning is already used so much in everyday life and its application is only going to increase.

Lucrative salary

The average salary for Machine Learning roles is 11LPA+ according to Glassdoor.

Build the future

Self drive cars or robots that talk and behave like humans, Machine Learning is the future.

What placement assistance will you receive?

Free Placement Prep Training

Learn how to build your resume, make great applications, and ace your interviews.

Curated internships & jobs

Get internships and fresher jobs as per your preference in your inbox.

Get highlighted on Internshala

Top performers will be highlighted in their internship & job applications on Internshala.

How will your tech career become future-proof with AI tools in this course? NEW

ChatGPT

Develop and deploy machine learning models with ease through debugging and algorithm selection tips.

Teachable Machine

Auto-generate machine learning models for your projects without coding. Get insights, analyze data, process language naturally, and brainstorm ideas.

How will your training work?

Learn concepts

Go through training videos to learn concepts

Test yourself

Test your knowledge through quizzes & module tests at regular intervals

Hands-on practice

Get hands on practice by doing assignments and project

1:1 doubt solving

Get your doubts solved by experts through Q&A forum within 24 hours

Take final exam

Complete your training by taking the final exam

Get certified

Get certified in Machine Learning upon successful completion of training

Machine Learning Training Syllabus

87 video tutorials

4 assignments

3 projects

2 AI tools covered

After completing the training, you can also download videos for future reference

Introduction to Machine Learning

3 Topics
2 Demo videos inside
Training Overview Video
Get Started with Internshala Trainings
Getting Started with Machine Learning
Types of Machine Learning Techniques
Data and Its Types
Data Sources and Collection
Data Cleaning and Transformation
Data Analysis and Visualization
Introduction to Python Programming
Variables and Data Types
Data Structures
Control Flow
Functions
Introduction to Python Standard Library
Pandas
Numpy
Matplotlib and Seaborn
Linear Regression
Logistic Regression
K Nearest Neighbors (KNN)
Decision Tree
Support Vector Machine
K Means Clustering

Machine Learning Course Projects Details

Property Price Prediction

Develop a predictive model to estimate real estate property values based on various features of the properties and their locations.

Customer Churn Prediction

Predict whether customers in the telecom industry will churn (switch service providers) using machine learning classification algorithms.

Early Disease Detection

Create a classification model to predict the presence of specific diseases based on patient medical data.

Your Teachers

Mohd Raza

Lead Instructor, Data Science

A well-experienced and passionate professional with over 9 years of expertise in Data Science, specializing in Python, SQL, Power BI, Machine Learning (ML), Deep Learning (DL), and Big Data Analytics. As a Microsoft Certified Trainer and ACLP-certified from Singapore, Raza has excelled in curriculum development and delivering high-impact, engaging training. His diverse background includes roles as an electrical engineer and workplace learning facilitator, making him a versatile and effective educator.

Akanksha Roy

Instructional Designer

With experience in creating e-learning training programs on various subjects. Akanksha holds a postgraduate qualification in Human Resource and a B.E. degree in Computer Science. She skillfully manages course creation, ensuring a seamless learning experience.

Why learn with Internshala Trainings?

Benefits
Government certified by NSDC
Certified by IIT Madras
Free placement assistance
3x visibility in recruiter searches
Direct interview invites
Industry-ready curriculum & projects
Real time doubt resolution
Multi language support
Trusted by 4 Million+ learners
Internshala Trainings
Other platforms
Youtube

Machine Learning Certification Course Overview

Did you know that artificial intelligence (AI) is expected to contribute up to $15.7 trillion to the global economy by 2030, according to the World Economic Forum? This highlights the vast potential and growth opportunities in the field of AI and machine learning (ML). 

 

Enrol in our government-certified machine learning online course and master Python and top machine learning algorithms. Earn a prestigious certificate accredited by IIT-Madras Pravartak, along with NSDC and Skill India certificate. Also, get an Internshala Training certificate that is recognized by over 100,000 companies.

Master Machine Learning in Just 8 Weeks

 

Enhance your skills and become a machine learning expert in just 8 weeks with Internshala's  ML course. Sign up today and get access to the following: 

 

 

Machine Learning Certification Course Outline

 

Internshala's machine learning training is meticulously structured to cover all fundamental and advanced aspects of machine learning. The course is designed to provide a thorough understanding of machine learning techniques, enabling students to apply them effectively in real-world scenarios. 

 

Students will delve into essential concepts, from data handling and Python programming to various machine learning algorithms and AI applications. Further, they will also work on a real-life project to test their knowledge and skills. 

 

Machine Learning Certification Course Overview

 

This machine learning certification course is perfect for beginners who wish to become proficient in machine learning. Each module provides a structured and thorough understanding of machine learning concepts, tools, and techniques. Let's take an in-depth look at the syllabus:

 

  1. Introduction to Machine Learning

 

In the first module of the course, you'll grasp the fundamentals of machine learning. You will learn how ML algorithms work and also discover various types of machine learning.

 

  1. Data

 

In the next module, you'll learn about the various types of data used in machine learning. You'll understand how to represent data graphically and analytically and recognize the constraints of conventional data analysis methods.

 

  1. Introduction to Python

 

In this part of the course, you'll build a foundation in Python and set up Jupyter Notebook. You'll learn essential Python libraries for data analysis, grasp the basics of Python programming (conditionals, loops, functions), explore your dataset, and master advanced data manipulation functions.

 

  1. Data Exploration and Pre-processing

 

In the fourth part of the course, you will gain knowledge about data exploration, and understand target variables, independent numerical variables, and categorical variables. You will also learn how to split data into training and testing sets and understand the importance of feature scaling in data preprocessing.

 

  1. Linear Regression

 

You will learn to build and evaluate your first predictive model in this part of the course. You will understand the basics of linear regression and gradient descent. Then you will move on to learn more about the assumptions underlying linear regression models. You will also discover how to implement linear regression.

 

  1. Introduction to Dimensionality Reduction

 

In module 6 of the course, you'll discover common techniques for reducing dimensionality in data. You'll also explore advanced methods for dimensionality reduction.

 

  1. Logistic Regression

 

In the seventh module of this machine learning training, you will understand the fundamental concepts of logistic regression. You will also learn about different metrics for evaluating model performance. Further, you will understand how to implement logistic regression models.

 

  1. Decision Tree

 

After you learn about logistic regression in module 7, you'll explore decision tree algorithms in module 8. You'll understand the logic and structure of decision trees in machine learning. You'll also learn how to enhance model performance through pruning and hyperparameter tuning.

 

  1. Ensemble Models

 

In the ninth module, you will learn about the fundamentals of ensemble techniques.

You will acquire an understanding of the random forest algorithm and discover how to implement bagging and random forest models.

 

  1. Clustering (Unsupervised Learning)

 

The 10th module will deal with clustering algorithms, their fundamentals, and their significance in ML training.  You will learn about the K-means clustering algorithm and get to know how to implement the K-means clustering algorithm.

 

  1. Machine Learning with AI

 

In the last module of the course, you will get hands-on experience using AI. You will employ advanced tools like ChatGPT and Gemini to solve complex machine-learning problems with utmost effectiveness.

 

Machine Learning Course Projects

 

In this machine learning online course, you will work on real-world projects. You will learn how to use a regression algorithm to predict real estate prices based on various factors. You will also analyze demographic and transaction data to forecast customer retention rates in banks. Additionally, you will automate the loan approval process using customer details and predict credit card payment defaults based on their payment history.

 

Further, you will assist a marketing team in launching a promotional campaign by applying advanced classification techniques. These projects will give you practical, hands-on experience, making your learning journey exciting as well as enriching. 

 

 Explore High-Paying Job Roles in Machine Learning

 

The demand for machine learning professionals has skyrocketed. There are a variety of exciting roles that you can explore to build a successful career in this domain. Here are some career paths in machine learning that you can consider after pursuing a machine learning certification course:

 

 

Top 5 Reasons to Pursue Internshala's Machine Learning Course

 

Internshala's machine learning certification course offers a comprehensive learning experience with several key benefits:

 

  1. Industry-Relevant Curriculum: The course provides hands-on practice with real-life projects, preparing you for future jobs.
  2. Career Prospects: Machine learning is in high demand across various industries, with lucrative salary potential. You can earn an average salary of ₹11LPA+ as an ML engineer.
  3. Dual Certification: Receive dual certificates from both Internshala Training and NSDC (National Skill Development Corporation).
  4. Placement Assistance: Benefit from free placement preparation training, curated job opportunities, and increased visibility on Internshala among recruiters.
  5. AI-Powered Course: Discover ways to leverage AI tools like ChatGPT and Gemini for machine model development and task automation.

Machine Learning Training FAQs

  • Training Specific
  • Training Prerequisites
  • Time & Mode of Delivery
  • Placement Assistance
  • Payment
  • Certificate
  • AI tools
  • Need Further Assistance?
Machine Learning is a type of artificial intelligence that can predict or imitate human behavior. It uses historical data and algorithms to get better at predicting outcomes. It helps companies get a knowledge of the current trend and insights so they can make smarter business decisions while developing new products. A few examples of the use of machine learning cases are recommendation settings, spam filters, malware, and fraud detection. This is a growing trend in various industries, thanks to the advancement of technology and to learn more about the important algorithms required to build these predictive models, you can sign up for a machine learning online course.
It's definitely an advantage to learn to code if you want to pursue machine learning. Machine learning is implemented by using various coding languages like C++, Java, Python, and many more hence to better understand and optimize the algorithm accordingly you will need to have a basic knowledge of coding at the least.
Here are some examples where machine learning is primarily used:
  1. Image recognition: used for facial recognition, tagging on social media, or recognizing handwriting to solve cases used by law enforcement.
  2. Speech recognition: used for application control like GPS or Siri on iPhones, voice search, and voice dialing by Alexa by Amazon and Home by Google.
  3. Medical diagnosis: used by physicians to recognize symptoms, recommend treatment options, and analyze cancerous tissues.
  4. Predictive analysis: used by Gmail to determine if you have received spam or a threat in your email, used by other apps to determine if an online transaction is fraudulent.
There is a lot of scope for machine learning in the coming future as this has already improved our lives a lot currently. This is a remarkable technology and will continue to grow in the years to come. Here are some future scopes of machine learning:
  1. Chatbots: Companies will no longer have to hire humans to take care of quick questions that a visitor can have which can easily be resolved by a chatbox. This allows for a quick and easy solution without any human intervention.
  2. Transport: Scientists and researchers are working around the clock to invent and perfect self-driving cars that heavily rely on machine learning and artificial intelligence.
  3. Agriculture: Machine learning helps farmers predict the parasites breeding on crops so farmers can better prepare for insect control. This will continue to help farmers yield more crops by also tracking the amount of water usage in a particular agricultural land.
There are 3 types of machine learning:
  1. Supervised Learning: This is a type of machine learning where we feed information to the software to help it learn. This is used in predicting real estate prices, determining the risk factors of a disease, verifying a bank transaction, and predicting the viability of a machine part.
  2. Unsupervised Learning: This is a type of machine learning where the machine learns to recognize the less obvious patterns within data. This is used by companies to predict customers buying the same styled handbags or garments, create groups based on purchase history, and analyze and group the inventory according to sale or manufacturing metrics.
  3. Reinforcement Learning: In this type of machine learning, the machine needs to be trained to take certain actions and maximize rewards. This is used to teach cars to park automatically and used to build games.
Artificial Intelligence is a part of computer science that helps software or a computer system recognize and mimic human intelligence. This technology is used to create intelligent machines that can simulate real-life human intelligence. This has a wide scope of applications and can be used to create machines that can perform complex tasks. Machine learning, on the other hand, is a type of artificial intelligence and is an application of AI. It helps machines learn from historical data without being explicitly programmed or fed with information. Through machine learning, systems can produce accurate results or offer close predictions based on the data. This has a limited scope compared to AI and can only perform certain tasks that they have been programmed to do.
Internshala's Job oriented courses are designed to help students upskill themselves, and become job-ready. The industry-specific curriculum and personalized mentorship will equip learners with the necessary skills, knowledge, and confidence for a successful professional journey.

The courses aim to take a student from beginner to professional within 4-12 months. To sign up for Internshala's Placement Guarantee Courses, you can be a pre-final, final-year, or recent graduate. Anyone seeking a career change or course that comes with a placement guarantee can also enroll in the course of their choice.

Upon completion of the course, students receive a placement guarantee. The learner will also earn a government as well as industry-recognized certificate from the National Skill Development Corporation & Skill India and Internshala Trainings.

Internshala offers 7 placement guarantee courses:
  1. Data Science Course with placement
  2. Full Stack Development Course with Placement
  3. Digital Marketing Course with placement
  4. Human Resource Management Course with placement
  5. Product Management Course with placement
  6. UI UX Design Course with placement
  7. Electric Vehicle Course with placement
All the software/tools that you need for the training would be shared with you during the training as and when you need it.
You can watch the videos and take quizzes & tests on any device including mobile. However, for assignments and practice, use of desktop or laptop is required.
You don't need a laptop to complete this training but for assignments and practice, you would need a computer with a minimum 1 GB ram and Windows 8 or later (64 bit).
There are no prerequisites for this training as it is of beginner level. Everything that you need to know about Machine Learning would be taught to you from scratch.
You can choose your preferred batch date while signing up for the training program and start accordingly.
As this is a purely online training program, you can choose to learn at any time of the day and for as much time as you want. We will recommend a pace to be followed throughout the program, but the actual timings and learning hours are in your hands.
From your batch start date, you will have access to training's content (videos, quizzes, tests, assignments, projects etc.) in the platform for 8 weeks within which you should be able to complete your training.
As this is a purely online training program, you can choose to spend as much time as you want per day and the more time you spend, sooner you would be able to complete the training. However, on an average, spending 1-2 hours per day should be sufficient for you to complete the training in 8 weeks. Some students also choose to devote more time on the weekends in case they are not able to give time on the weekdays.
Dont worry! If for some reason, you are unable to complete the course in 8 weeks, you will have the option to get a 2-week extension for Rs.999.
Having 8 weeks access ensures you have a deadline to work with and are able to complete the training. It also helps you beat procrastination and maintain continuity in your studies which is why Internshala Trainings students have some of the best training completion rates in the industry.
If you have completed the training, you would be able to download the training content and have lifetime access to it for future reference.
Yes, you would be able to download the training content and have lifetime access to it for future reference.
  • You will receive free access to Placement Preparation Training on the platform which covers resume writing, cover letter writing, how to search and apply for internships and jobs on Internshala, and interview preparation.
  • Access to curated internships & jobs related to the training - after completing the training, you would receive a list of handpicked internships or jobs every week that you can apply to as per your preference.
  • If you are a top performer, a badge of achievement will be added to your Internshala resume and shown to the employers when you apply to internships or jobs on Internshala.
When you score >= 90% in the final test, you will be a top performer and you will get highlighted in your internship and job applications.
While many of our students have found their desired internships or jobs after completing their training, Internshala Trainings does not guarantee an internship or job. However, if you study sincerely (including doing exercises, assignments, and projects) and make good use of our placement assistance feature, it will become easier for you to get a placement using the skills learned in the training.
More than 3 lac companies use Internshala to hire interns and employees and hence they will recognise a certificate from Internshala when they see one on your resume. However, please note that more than the certificate, companies hire candidates based on their skills and their performance in the interview so we hope you do a good job of learning the skill in the training and preparing for the interview using our placement assistance feature.
You could try making the payment from a different card or account (of a friend or family). Otherwise, you can follow the instructions on how to make an offline payment here
Just let us know your registered email id along with the screenshot of the payment receipt or transaction history. You can submit your request using the "Need further assistance?" section. Once verified, the additional amount you paid will be refunded.
The amount deducted will come back to your account within 7-10 working days. This is the normal duration your bank will take to credit the amount back into your account.
At times, there may be a slight delay in your payment reflecting on your Internshala Trainings dashboard. However, if your payment is not reflecting even after 30 minutes, please let us know your registered email id along with the screenshot of the payment receipt or transaction history. You can submit your request using the "Need further assistance?" section. Once verified, we will update your payment status from the backend.
No, you will be only getting a soft copy of the certificate which you can download and print out if required.
IIT Madras Pravartak is the theTechnology innovation hub of IIT Madras and is funded by the Department of Science and Technology (DST), Government of India, under its National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS). The joint certification is a collaboration between Internshala and IITM Pravartak signifies that on successful completion of a certification course offered by Internshala Trainings, you will receive a verified certificate recognized and endorsed by IIT Madras Pravartak.
To be eligible for NSDC & Skill India certificate, you need to fill in the required additional information including your salutation, date of birth and father's name within 3 days of enrollment. This form will open when you log in to your account. You will also need to complete your final test by the original course end date and score a minimum of 33% in the test. Please also note that the partnership came to effect on 8th May so only trainings purchased on or after 8th May '23 are eligible for the certificate.
The course will cover ChatGPT and Teachable Machine, two essential AI tools used by machine learning professionals.
You will learn about AI tools through live training sessions taught by domain experts.
You can access the free versions of the AI tools without a subscription.
You do not require any prior knowledge to pursue this course. The introductory sessions cover the foundational concepts.
AI is utilized in various aspects of the machine learning pipeline. It helps to automate tasks like data preprocessing, algorithm selection, model training, and deployment. AI can be used to enhance the performance and scalability of the ML systems, allowing businesses and organizations to implement machine learning solutions easily. Popular AI tools that will be covered in this course are ChatGPT & Teachable Machine.
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