Machine learning course in Lucknow

The Machine Learning course offered by Infoverse Academy in Lucknow is designed to assist you in taking the first steps toward a rewarding career in machine learning.

Placement Opportunities

Machine Learning Course in Lucknow

The well-known learning platform Infoverse Academy offers a thorough Machine Learning programme in Lucknow. You gain comprehensive knowledge of machine learning from this course. Through practical projects and case studies, you will learn about supervised and unsupervised learning, support vector machines, random forest classifiers, best practices for machine learning, and more.

machine learning course in lucknow

About Machine Learning

The broad field of artificial intelligence known as “machine learning” is concerned with the design and creation of an algorithm that recognises and learns patterns from input data. The impetus behind IR 4.0 is AI. This invention will establish a new or extra method of directing and overseeing institutions, especially businesses.

The Python TensorFlow and Keras libraries are used in the deep learning portion of the artificial intelligence course. Because machine learning, frequently referred to as data mining supervised learning, is a subfield of artificial intelligence, this programme offers a course in machine learning. Along with this deep learning Machine learning course in Lucknow c, e-learning for Big Data Hadoop training is offered to make processing images simple.

Machine learning is significant because it aids in the development of new goods and provides businesses with a picture of trends in consumer behaviour and operational business patterns. A significant portion of the operations of many of today’s top businesses, like Facebook, Google, and Uber, revolve around machine learning. For many businesses, machine learning has emerged as a key competitive differentiation.

Why Infoverse Academy?

A combination of classroom, instructor-led online, and offline learning is provided by Infoverse Academy, we ensure that in our Machine learning course in Lucknow students have a thorough working experience that shortens their learning curve. Participants will get access to the instructor-led live classes’ recorded sessions, which can be viewed to watch the sessions they missed as well as to review the material.

100% Practical Training

Experience hands-on practical projects.


Get a professional certificate from Infoverse Academy.

Career opportunities

Land your dream company after completion of this course.

Internship opportunities in top companies

Our team will help you in cracking internships in best MNCs

Programme Overview & Key Highlights

All Machine Learning tools to learn

More than 25 modules to cover every single concept in depth. Notes are provided for each module.

Online and Offline Training

We teach in both offline as well as online mode

200 Hours of Learning

200 Hours of learning to make you a digital marketing expert.

25+ Case Studies and Live Projects

Get your hands on 25+ case studies and live projects

Video Library of recorded classes

On demand recorded video lectures to watch at your own comfort

Certifications from Infoverse Academy

Get a professional certificate from Infoverse Academy

Internship Program

a dedicated team to assist students in cracking your dream internships

Career mentoring

Personal mentors are always available to help you with questions about your career

Live sessions

Timely interactive live sessions will be organised

Tools and Languages Covered in Machine Learning Course

Learn in demand tools and python libraries which are necessary to learn Machine Learning and develop real time projects.

Course Modules Details

In Infoverse academy machine learning course in Lucknow you will gain a fundamental knowledge of machine learning models from this module (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc

In order for your models to generalise to data and tasks in the real world, learn advanced machine learning algorithms

Create and train supervised machine learning models for prediction and binary classification tasks, such as logistic regression and regression with covariance

Decision trees and random forests can be trained and tested for regression and classification. For computer vision and natural language processing tasks, become familiar with neural networks (CNN) and recurrent neural networks (RNN)

Learn everything there is to know about the Naive Bayes algorithm in this module. We’ll go over the Naive Bayes algorithm’s definition, workings, and various iterations before putting it to use on a real-world dataset

Unsupervised Learning, one of the primary categories of machine learning, is covered in this lesson. You’ll discover how to draw conclusions from data sets devoid of a goal or labelled variable

The purpose of this module is to provide you a deeper grasp of the principles by having you implement all the machinery, such as logistic regression, cost function, and gradient descent of the various learning algorithms, on your own.

Learn various classification methods, such as K-Nearest Neighbors (KNN), decision trees, and logistic regression, you will delve into categorization strategies

Work on advanced machine learning concepts which are essential for building real time projects.

You will discover how strong supervised linear models known as support vector machines work as well as their basic principles in this module

This lecture will cover random forests, which are a variation on bagging for regression and classification trees

In machine learning course in Lucknow you will learn how to design NLP tools that conduct sentiment analysis and question-answering, as well as how to build chatbots and tools for translating languages and summarising text

Multi-layer perceptron (ML) artificial neural networks (ANN) are trained and evaluated for regression and classification

Discover Tensorflow Installation & Use in Anaconda. Convolution neural networks can be implemented using Tensorflow and Keras

Course Duration


Course Fees

Rs. 55000/- (GST Exclusive)

Job prospects after completing Machine Learning course training in Lucknow

Depending on the scale of a business, there are several kinds of machine learning specialists with different work duties. Machine learning typically addresses difficult problems. The machine learning engineer, whose duties include creating and maintaining platforms for ML projects, is one of the most in-demand AI specialists. Machine learning engineers frequently double as data scientists at smaller companies, as explained by Discover Data Science


After completing this course you even work as a Neural Network Analyst. Many top MNC companies are recruiting Machine Learning Engineers offering good packages.


The need for gifted and knowledgeable experts in machine learning is at an all-time high right now, and it will only grow in the future. A profession in machine learning is fantastic since, in addition to offering work security and satisfaction, it also promises significant yearly pay and rapid career advancement. All the more reason to think about pursuing a career in machine learning.

Recent Reviews from Students

M.D.S Iyer
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The course is really helpful for studying Machine learning. Due to the fact that mastering the fundamentals is always important, this course is an excellent choice for both beginners and experienced Data Scientists. Excellent and simple to comprehend course submission.
M.P Prakash
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Excellent explanation that made it easy for me to understand! I'm glad I took it, really. It covers everything required to get started in the subject of data science. I was able to hone my data manipulation skills utilising Pandas and Numpy in addition to statistical methods, machine learning, and neural network approaches for data analysis.
Pallavi Sharma
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Each subject was clearly described. I never felt during the course that I was missing a point because I didn't know the statistical or probability concepts. The trainer provided enough background information to make the subject simple to understand and put into practice.
Surender Prajapati
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Excellent, in-depth training with many real-world applications. I appreciate how the instructor explains the theory, delves into the specifics, and then gives instances. includes all key subjects as well.
Prem Prakash
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best ever course All Machine Learning Beginners who want to pursue careers in AI and ML should consider reading this. The trainer is too competent, skilled, and has a positive teaching style.
Pooja Maurya
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If you are just beginning with machine learning, the course is excellent. It provides guidance, and the Python examples are helpful. The professor is amazing at explaining concepts using instances from the real world, which makes the concepts easier to understand. Anyone with a rudimentary understanding of coding and an interest in this field should take this course, in my opinion.


You will get a certificate of completion after completing the course which you can add to your resume.

You can ask your queries in the Q&A section and our experts will answer them as early as possible.

Visit the official website of Infoverse Academy for joining the course.

We offer Classroom Training & Online Training.

Yes, We have a separate team of experts who will help you in improving your resume.

All enrolled Candidates at Infoverse Academy have access to career counselling sessions and placement assistance.

Anyone with an interest in the field of Machine Learning can join this course.

You can become a highly-paid Machine Learning Engineer, Data Scientist, NLP Scientist, Business Intelligence Developer, or Human-Centred Machine Learning Designer with a background in machine learning.

You don’t need to have any previous knowledge about machine learning. You just need to have a basic understanding of some mathematical concepts and will power to learn the concepts.

The average yearly income for a machine learning engineer in India is 6.9 lakhs, with salaries ranging from 3.0 lakhs to 20.0 lakhs. Salary projections are based on the 3.6k salaries that machine learning engineers have provided.