Internship > CSE / IT > Machine Learning

Machine Learning

Understand the scope and prospects of Machine Learning, learn how ML is being used in various industries with our internship programs and develop the necessary skills and python programming to become a successful ML Engineer.

4.7 4,102+ learners

Why acmegrade?

Live Training sessions

Distinguished Mentors

Internship Experience

Industry Relevant Projects


Professional Certifications


Overview of the program

Machine learning is the study of computer algorithms that can improve automatically through experience and using data. It is a branch of artificial intelligence (AI) and computer science. Machine learning is changing the world, it has a presence in many major industries including healthcare services, education, transport, food, entertainment and more. It will impact almost every aspect of our daily lives, housing, cars, shopping, food ordering, etc. will all become easier and more efficient with the help of machine learning.

01Why is machine learning becoming so important?

In the past Decade, the growth and implementation of Artificial Intelligence has been immense, one of the major contributors to this has been the study of algorithms, or machine learning. It is an entirely data driven concept that analyses user behavior and business operational patterns regardless of the field it is applied in.

02Is a career in machine learning rewarding?

Cloud computing can be an extremely lucrative field. Senior cloud computing engineers can earn upwards of rupees 1 crore per annum. In order to get into cloud computing as a profession, you will need to possess the necessary skills, as well as a level of exposure to the industry. Both of the above will be provided to you in this course.

03Why Acmegrade?

At Acmegrade we place an emphasis on equipping our interns with the practical skills necessary to succeed. This doesn’t mean however, that the subject’s theory is exempted from our course. We will teach you the necessary theoretical concepts and practical skills to succeed. We will also let you get hands-on experience from our top associated mentors who are distinguished in their respective fields.


Introduction to programming

  • Course Introduction
  • Programming Basics

Introduction to Python

  • Python Basics
  • Scope of Python
  • Python Data Structures
  • Python Programming Fundamentals
  • Working with Data in Python

Advanced Concepts of Python

  • Error handling
  • Object Oriented Programming concepts
  • Regular Expressions
  • Decorators

Analysing Data with Python

  • Reading and writing data with pandas
  • Data frames and data summarisation
  • Numpy array operations
  • Numerical computing with Numpy

Introduction to Machine Learning

  • Decoding Artificial Intelligence
  • Fundamentals of Machine Learning
  • Types of machine learning
  • Machine Learning Workflow
  • Performance Metrics
  • Supervised vs unsupervised learning
  • Classification vs regression

Machine Learning Algorithms

  • Introduction to machine learning algorithms
  • Types of machine learning algorithms
  • Machine learning techniques
  • Machine learning approaches

Overview of common algorithms

  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Support vector machine(SVM)
  • Naive Bayes
  • kNN
  • K-Means
  • Random Forest
  • Dimensionality Reduction Algorithms
  • Gradient Boosting algorithms

Natural Language Processing

  • What is natural language?
  • Natural Language Toolkits (NLTK)
  • Stopwords
  • Stemming
  • Lemmatization
  • What is sentiment analysis?
  • Native and bayes


  • What is pre-processing?
  • Preprocessing with python
  • Importing a dataset in python
  • Resolving missing values
  • Managing category variables
  • Testing datasets
  • Normalizing Variables


  • What is regression in machine learning
  • Simple linear regression
  • Multiple linear regression
  • Decision trees
  • Random Forest


  • Probability & distribution
  • Central limit theorem
  • Hypothesis testing
  • Categorical data


  • kNN introduction
  • kNN practical
  • SVM introduction
  • SVM practical
  • Decision tree classifier and random forest classifier in python


Our Real- Time projects help you gain knowledge and enhance your skills.


On completion of a program each participant gets a course completion, internship and outstanding performance certificates.

Course Completion Certificate is awarded to you for the dedication and time you have provided to learn and enhance your skills during your training.

Internship Completion Certificate is awarded to you after gaining practical exposure and work experience by successful completion of the capstone projects.

Outstanding Performer Certification is awarded to the extraordinary students who have performed exceptionally well during the training and internship periods.

9 / 10 of our learners achieve their learning objectives after successful course completion.

Affordable and student friendly prices.



  • Recorded Lectures
  • Real Time Projects
  • 4+ Hrs of Live Sessions
  • One On One Doubt Sessions
  • Certifications
  • Mentor Support
  • Placement Guidance
  • Interview Assistance



  • Recorded Lectures
  • Real Time Projects
  • 16+ Hrs of Live Sessions
  • One On One Doubt Sessions
  • Certifications
  • Mentor Support
  • Placement Guidance
  • Interview Assistance



    • Recorded Lectures
    • Real Time Projects
    • 24+ Hrs of Live Sessions
    • One On One Doubt Sessions
    • Certifications
    • Mentor Support
    • Placement Guidance
    • Interview Assistance


Our Student Testimonials

Our Alumni Work At

Our alumni are already starting to make waves in their industries. Our former students are already working in high-profile industries and are shaping our futures.

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01Do I need knowledge in computer science to join this program?

No, at Acmegrade we teach you all the important concepts surrounding machine learning from scratch, train you in the necessary skills, and provide you with an internship to make sure you get the necessary industry exposure.

02How long is the training?

Our self-paced and mentor led courses both last for a period of 2 months. Our advanced courses last for a period of 3 months.

03Will Acmegrade help with placements?

Acmegrade provides placement support for all students of our advanced courses. Students that perform well during their internship period in our self-paced and mentor led courses will also get placement support.

04What kind of companies hire machine learning engineers?

ML engineers are hired by Global MNCs like Amazon, Microsoft, General Electric, Accenture, Alibaba etc and are very valuable to the companies

05Will I get an internship?

Yes, Acmegrade guarantees an internship opportunity for all our students across all our courses.

06Can i pay the fee In instalment ?

Yes, you can book your slot by paying 1000 INR as pre-registration and the remaining amount can be paid later before starting the program.

Our Prestigious partners

Playablo, MIT, LPU, KiiT, Webmosphere, HustleHub, VI, Vignan.

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