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Machine Learning Course in Bangalore

80,121 Ratings

Become a Certified ML Engineer in 7 months with Machine Learning Course in Bangalore

  • Master Machine Learning Algorithms, Statistics, AI and more
  • Learn from top Industry Experts
  • Best Machine Learning Training Institute in Bangalore
  • 3 Guaranteed Interviews upon movement to the Placement Pool
  • Machine Learning Certification by Intellipaat (Recognized across 1000+ MNCs)

Ranked #1 Data Science Program by India TV

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ML Course Key Features

50+ Live sessions across 7 months
218 Hrs Self-paced Videos
200 Hrs Project & Exercises
Learn from Top Industry Practitioners
1:1 with Industry Mentors
Resume Preparation and LinkedIn Profile Review
24*7 Support
No-cost EMI Option
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Machine Learning Course in Bangalore Overview

What will you learn in this machine learning course in Bangalore?

Intellipaat, the provider of one of the finest machine learning courses in Bangalore, will help you learn:

  • Machine Learning algorithms
  • Deploying machine learning models on Clouds (MLOps)
  • Analysis segmentation using clustering and the technique of prediction
  • Microsoft Excel for data analysis and data transformation
  • Techniques of evaluation, experimentation, and project deployment
  • Python with Data Science
  • Natural language processing and its applications
  • Data Science projects, analytics, and recommender systems
  • Data analysis, project life cycle, and Data Science in the real world
  • Git, Storytelling

This machine learning (ML) course in Bangalore can be joined by:

  • Software professionals looking for a career switch and fresh graduates
  • Professionals in analytics, data science, e-commerce, and search engine domains

We don’t expect any prior knowledge from your side. However, basic knowledge of programming languages can be helpful when joining our machine learning certification course in Bangalore.

Here are some of the ML job opportunities in Bangalore:

Job title Skills Experience Salary Company
Machine Learning Engineer Python, SQL, machine learning algorithms, deep learning frameworks 3+ years INR 15–20 lakhs per annum Amazon, Microsoft, Google, Flipkart
Data Scientist Python, SQL, machine learning algorithms, statistics 2+ years INR 12–15 lakhs per annum Accenture, Capgemini, Infosys, Wipro
Machine Learning Research Scientist Machine learning algorithms, deep learning frameworks, natural language processing 5+ years INR 20–30 lakhs per annum IIT Madras, IISc Bangalore, IIIT Hyderabad
Machine Learning Consultant Python, SQL, machine learning algorithms, data visualization 1+ years INR 8–12 lakhs per annum ThoughtWorks, Nagarro, Mindtree
Machine Learning Engineer Python, SQL, machine learning algorithms 0–1 years INR 5–8 lakhs per annum Amazon, Microsoft, Google, Flipkart

 

Some of the reasons why you should sign up for this ML course in Bangalore are as follows:

  • There are over 5000+ Machine Learning jobs open and available in Bangalore, India – LinkedIn
  • The average salary for a Machine Learning Engineer is ₹13,48,704 per year in Bangalore. – GlassDoor
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Machine Learning engineers rank among the top emerging jobs. - LinkedIn
The global Machine Learning market is expected to reach USD 8.81 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% - MarketsandMarkets

Career Transition

57% Average Salary Hike

$1,14,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet the Machine Learning Mentors

Skills Covered

Python

Data Science

Data Analysis

AI

GIT

MLOps

Data Wrangling

SQL

Story Telling

Machine Learning

Prediction algorithms

NLP

PySpark

Model

Data visualization

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Tools Covered

python jupyter Scipy numpy pandas matplotlib tensorflow SQL tableau excel git
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Machine Learning Course Fees in Bangalore

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50+ Live sessions across 7 months of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
23 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

30 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

06 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

13 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$1,229 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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Machine Learning Course Syllabus

Live Course Industry Expert Academic Faculty

Module 1 – Preparatory Session - Python

Preview

Python 

  • Introduction to Python and IDEs – The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc. 
  • Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
  • Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
  • Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding. 

Module 2 – Data Wrangling with SQL

Preview

SQL Basics – 

  • Fundamentals of Structured Query Language
  • SQL Tables, Joins, Variables 

Advanced SQL –  

  • SQL Functions, Subqueries, Rules, Views
  • Nested Queries, string functions, pattern matching
  • Mathematical functions, Date-time functions, etc. 

Deep Dive into User Defined Functions

  • Types of UDFs, Inline table value, multi-statement table. 
  • Stored procedures, rank function, SQL ROLLUP, etc.

SQL Optimization and Performance

  • Record grouping, searching, sorting, etc. 
  • Clustered indexes, common table expressions.

Hands-on exercise: 

Writing comparison data between the past year and the present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data,  and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).

Extract Transform Load

  • Web Scraping, Interacting with APIs

Data Handling with NumPy

  • NumPy Arrays, CRUD Operations, etc.
  • Linear Algebra – Matrix multiplication, CRUD operations, Inverse, Transpose, Rank, Determinant of a matrix, Scalars, Vectors, Matrices.

Data Manipulation Using Pandas

  • Loading the data, data frames, series, CRUD operations, splitting the data, etc.

Data Preprocessing

  • Exploratory Data Analysis, Feature engineering, Feature scaling, Normalization, standardization, etc.
  • Null Value Imputations, Outliers Analysis and Handling, VIF, Bias-variance trade-off, cross-validation techniques, train-test split, etc.

Data Visualization

  • Bar charts, scatter plots, count plots, line plots, pie charts, donut charts, etc. with Python matplotlib.
  • Regression plots, categorical plots, area plots, etc, with Python seaborn.

Descriptive Statistics – 

  • Measure of central tendency, the measure of spread, five points summary, etc. 

Probability 

  • Probability Distributions, Bayes’ theorem, central limit theorem. 

Inferential Statistics –  

  • Correlation, covariance, confidence intervals, hypothesis testing, F-test, Z-test, t-test, ANOVA, chi-square test, etc.

Introduction to Machine Learning 

  • Supervised, Unsupervised Learning.
  • Introduction to scikit-learn, Keras, etc.

Regression 

  • Introduction classification problems, Identification of a regression problem, dependent and independent variables.
  • How to train the model in a regression problem.
  • How to evaluate the model for a regression problem.
  • How to optimize the efficiency of the regression model.

Classification 

  • Introduction to classification problems, Identification of a classification problem, and dependent and independent variables.
  • How to train the model in a classification problem.
  • How to evaluate the model for a classification problem.
  • How to optimize the efficiency of the classification model.

Clustering 

  • Introduction to clustering problems, Identification of a clustering problem, dependent and independent variables.
  • How to train the model in a clustering problem.
  • How to evaluate the model for a clustering problem.
  • How to optimize the efficiency of the clustering model.

Supervised Learning 

  • Linear Regression – Creating linear regression models for linear data using statistical tests, data preprocessing, standardization, normalization, etc.
  • Logistic Regression – Creating logistic regression models for classification problems – such as if a person is diabetic or not, if there will be rain or not, etc.
  • Decision Tree – Creating decision tree models on classification problems in a tree like format with optimal solutions.
  • Random Forest – Creating random forest models for classification problems in a supervised learning approach.
  • Support Vector Machine – SVM or support vector machines for regression and classification problems.
  • Gradient Descent – Gradient descent algorithm that is an iterative optimization approach to finding the local minimum and maximum of a given function.
  • K-Nearest Neighbors – A simple algorithm that can be used for classification problems.
  • Time Series Forecasting – Making use of time series data, gathering insights and useful forecasting solutions using time series forecasting.

Unsupervised Learning 

  • K-means – The k-means algorithm that can be used for clustering problems in an unsupervised learning approach.
  • Dimensionality reduction – Handling multi dimensional data and standardizing the features for easier computation.
  • Linear Discriminant Analysis –  LDA or linear discriminant analysis to reduce or optimize the dimensions in the multidimensional data.
  • Principal Component Analysis – PCA follows the same approach in handling the multidimensional data.

Artificial Intelligence Basics 

  • Introduction to keras API and TensorFlow

Neural Networks

  • Neural networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks 

Deep Learning

  • Introduction to Deep Learning
  • Deep neural networks
  • Convolutional Neural Networks 
  • Recurrent Neural Networks
  • GPU in deep learning
  • Autoencoders, Restricted Boltzmann machine

The Data Science capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals: 

  • Extracting, loading and transforming data into usable format to gather insights. 
  • Data manipulation and handling to pre-process the data.
  • Feature engineering and scaling the data for various problem statements. 
  • Model selection and model building on various classification, regression problems using supervised/unsupervised Machine Learning algorithms.
  • Assessment and monitoring of the model created using the Machine Learning models.

Electives:

Power BI Basics

  • Introduction to PowerBI, Use cases and BI Tools , Data Warehousing, Power BI components, Power BI Desktop, workflows and reports , Data Extraction with Power BI.
  • SaaS Connectors, Working with Azure SQL database, Python and R with Power BI
  • Power Query Editor, Advance Editor, Query Dependency Editor, Data Transformations, Shaping and Combining Data ,M Query and Hierarchies in Power BI.

DAX 

  • Data Modeling and DAX, Time Intelligence Functions, DAX Advanced Features

Data Visualization with Analytics  

  • Slicers, filters, Drill Down Reports
  • Power BI Query, Q & A and Data Insights
  • Power BI Settings, Administration and Direct Connectivity
  • Embedded Power BI API and Power BI Mobile
  • Power BI Advance and Power BI Premium

Hands-on Exercise:

Creating a dashboard to depict actionable insights in sales data.

  • Job Search Strategy
  • Resume Building
  • Linkedin Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.

Excel Fundamentals 

  • Reading the Data, Referencing in formulae , Name Range, Logical Functions, Conditional Formatting, Advanced Validation, Dynamic Tables in Excel, Sorting and Filtering
  • Working with Charts in Excel, Pivot Table, Dashboards, Data And File Security
  • VBA Macros, Ranges and Worksheet in VBA
  • IF conditions, loops, Debugging, etc.

Excel For Data Analytics 

  • Handling Text Data, Splitting, combining, data imputation on text data, Working with Dates in Excel, Data Conversion, Handling Missing Values, Data Cleaning, Working with Tables in Excel, etc.

Data Visualization with Excel

  • Charts, Pie charts, Scatter and bubble charts
  • Bar charts, Column charts, Line charts, Maps
  • Multiples: A set of charts with the same axes, Matrices, Cards, Tiles

Excel Power Tools 

  • Power Pivot, Power Query and Power View

Classification Problems using Excel

  • Binary Classification Problems, Confusion Matrix, AUC and ROC curve
  • Multiple Classification Problems  

Information Measure in Excel

  • Probability, Entropy, Dependence
  • Mutual Information

Regression Problems Using Excel

  • Standardization, Normalization, Probability Distributions
  • Inferential Statistics, Hypothesis Testing, ANOVA, Covariance, Correlation
  • Linear Regression, Logistic Regression, Error in regression, Information Gain using Regression

Hands-on Exercise:

Classification problem using excel on sales data, and statistical tests on various samples from the population.

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Machine Learning Training in Bangalore Projects

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

class-notifications
Hackathons
career-services
major-announcements
collaborative-learning

Career Services

Career Services

Career Oriented Sessions

Throughout the course

Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your upskilling.

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.

Placement Assistance

Upon movement to the Placement Pool

Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Machine Learning Certification in Bangalore

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The most reputed Machine Learning course in Bangalore, is designed by industry professionals to help you get the best jobs in top MNCs. As part of this Machine Learning Training, you will be engaged in real-time projects and assignments that have huge implications in real-world industry scenarios. This way, you can expedite your career effortlessly.

At the end of this machine learning course in Bangalore, you will find a quiz test that perfectly reflects the type of questions asked in the machine learning certification exam, and it will further help you get a higher score in the same.

A machine learning course in Bangalore completion certificate will be issued after the project has been completed (after expert review) and after scoring at least 60% on the quiz. You would be glad to know that this certification is recognized by more than 100 top multinational companies, including Cisco, Ericsson, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered Bank, IBM, Infosys, Genpact, TCS, Hexaware, and more.

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Machine Learning Course in Bangalore FAQs

Why should I join this machine learning course in Bangalore at Intellipaat?

Machine learning course in Bangalore offers hands-on projects and in-depth training covering ML concepts, Python, classification, linear regression, and more. Get a valued certificate, real-world projects, and lifetime access to resources. Elevate your career with 24/7 support.

To enroll in the machine learning training in Bangalore, you just need to visit the Intellipaat website, go to the course page, and follow the registration steps. Once enrolled, you will gain access to course materials and resources.

A machine learning certification course provides complete training in machine learning concepts, covering data preprocessing, feature engineering, supervised and unsupervised learning, deep learning, and model evaluation. It also includes practical projects for hands-on experience.

Here are some of the top job roles that you can consider after completing the best online ML courses in Bangalore:

  • Machine Learning Engineer
  • Human-centered Machine Learning Designer
  • Data Scientist
  • Business Intelligence Developer
  • NLP Scientist

Intellipaat has been serving ML enthusiasts from every corner of the city. You can be living in any locality in Bengaluru, be it Marathahalli, Koramangala, BTM Layout, Jayanagar, Sarjapur, Vijaynagar, Whitefield, HSR Layout, Indira Nagar, Electronic City, or anywhere. You can have 24/7 access to our machine learning online course sitting at your home or office.

Area Postal Code
Ammrutha Halli 560092
Maruthi Seva Nagar 560033
Kuvempu Layout 560077
Bellandur 560103
Jayanagar III Block 560011
Anandnagar 560024
Nandinilayout 560096
B SK II Stage 560070
Indiranagar 560038
Yelahanka 560063
Chickpet 560053
Domlur 560071
Bansashankari III Stage 560085
Vimanapura 560017
Nagarbhavi 560072
Basaveshwaranagar 560079
Bommanahalli 560068
Mico Layout 560076
Electronic City 560100
Taverekere 560029
Nehru Nagar 560020
Agram 560007
Halsuru Pete 560002
Basavanagudi 560004
R.M.V. Extension II 560094
Jayanagar 560041
Carmelaram 560035
New Thippasandra 560075
Kanakanagar 560032
Nayandahalli 560039
Fraser Town 560005
Jalahalli East 560014
Kacharakanahalli 560084
Malleswaram West 560055
Bannerghatta 560083
Srirampuram 560021
Rajarajeshwarinagar 560098
Sivan Chetty Gardens 560042
Dommasandra 562125
Whitefield 560066
Vidyaranyapura 560097
Bolare 560082
Mathikere 560054
Doddanekkundi 560037
Hampinnagar 560104
C.V.Raman Nagar 560093
Chikkabanavara 560090
Attur 560064
Kumbalagodu 560074
Bhattarahalli 560049
Chikkalasandra 560061
Sharada Nagar 560065
Jalahalli West 560015
H.K.P Road 560051
Jp Nagar III Phase 560078
Sadashiva Nagar 560080
Krishnarajapuram R S 560016
Mahalakshipuram Layout 560086
Guddadahalli 560026
Chudenapura 560060
Vidhana Soudha 560001
Shanthinagar 560027
Rajaji Nagar 560010
Chandapura 560099
Ramakrishna Hegde Nagar 560045
Shalabh Bhatnagar 560012
Peenya 560058
Ashoknagar 560050
Jalahalli Nacen 560013
Banawadi 560043
Malleswaram 560003
Doddakallasandra 560062
K.G Road 560009
Muthusandra 560087
Marathahalli 560056
JC Nagar 560006
Chamrajpet 560018
HSR Layout 560102
Devanagundi 560067
Yeswanthpura 560022
Mahadevapura 560048
Hulsur Bazaar 560008
Magadi Road 560023
Adugodi 560030
Bagalgunte 560073
Devasandra 560036
Rv Niketan 560059
Narasimharaja Colony 560019
Koramangala VI Bk 560095
Agara 560034
Vijayanagar East 560040
Benson Town 560046
Viveknagar S.O 560047
Dasarahalli 560057
Bapagrama 560091
Richmond Town 560025

Intellipaat offers one of the best ML courses in Bangalore that will help you become a successful ML engineer. The promising courses, such as data science, artificial intelligence, R programming, data analytics, and others, are comprehensive and tailor-made to suit you as per the industry needs.

This Machine Learning Course certification certificate is recognized by over 500 top MNCs worldwide, including companies such as Sony, Mu Sigma, Cisco, IBM, Standard Chartered Bank, TCS, Infosys, Ericsson, Genpact, Cognizant, etc.

The duration of an online machine learning course in Bangalore typically takes seven months of instructor-led training.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Apparently, no. Our job assistance is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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Our Bangalore Mailing Address

Machine Learning Training Course in Bangalore. Address – 6th Floor, Primeco Towers, Arekere Gate Junction, Bannerghatta Main Road, Bengaluru, Karnataka – 560068, India. Call Us: +91-7022374614