Software Training Institute in Chennai with 100% Placements – SLA Institute

Machine Learning Training In OMR

4.80
(5142)
DURATION
Real-Time Location Services
2 Months
EMI
0% Interest
Mode
Rank-Based Percentile Gui Calculator using Tkinter
Live Online / Offline

Join Our 100% Job-Guaranteed Machine Learning Course in OMR. We Provide Quality Machine Learning training with an affordable Cost in OMR. Our Machine Learning Syllabus Covers Python for ML, data preprocessing, supervised & unsupervised learning, model training, evaluation, deep learning basics, and real-world ML projects. At Softlogic Systems, you’ll earn globally recognized certifications, build real-time projects, and receive complete placement assistance to launch a successful career in your chosen field.

Enroll Now
Download Syllabus
0%

AI Powered Syllabus

0+

Realtime Projects

0+

Students Placed in

September 2026

0+

Certificates

Check Your Eligibilty for IT Training

Ready to start your tech career? Whether you have recently graduated and want to begin your IT career, or want to upskill for your next phase, our Eligibility Assessment Form makes the process easy to begin. For this Machine Learning Course In OMR Developer Course, we will match your skills and goals to the best training structure for you. Just fill in the form below for an easy start on your course. Take your first step today!
What We'll Need From You?
Personal & Contact Details
Name and phone number for direct interview updates
Academic Background
Age category, educational qualification, and graduation year.
Technical Experience
Prior programming knowledge and relevant IT certification details.
KNOW MORE ABOUT COURSE +91 86818 84318

IT Training ELIGIBILITY TEST

×

Your Placement Eligibility Report

Life Changing Stories

Explore Our Students' Inspiring Leap Stories!

See More Success Stories

Check our Google Reviews

3D Coverflow Carousel
Review Image
Click here to view all Reviews

Syllabus of Machine Learning Course In OMR

Download Syllabus
  • Java Programming Language Keywords
  • Literals and Ranges of All Primitive
  • Data Types
  • Array Declaration, Construction, and Initialization
  • Declarations and Modifiers
  • Declaration Rules
  • Interface Implementation
  • Benefits of Encapsulation
  • Overridden and Overloaded Methods
  • Constructors and Instantiation
  • Legal Return Types
  • Writing Code Using if and switch statements
  • Writing Code Using Loops
  • Handling Exceptions
  • Working with the Assertion Mechanism
  • Write Java Programs
  • Setting up TestNG
  • Testing with TestNG
  • Composing test and test suites
  • Generating and analyzing HTML test reports
  • Troubleshooting
  • Introducing Machine Learning
  • To Automate or Not to Automate?
  • Test Automation for Web Applications
  • Machine Learning Components
  • Supported Browsers
  • Flexibility and Extensibility
  • Introduction
  • Installing the IDE
  • Opening the IDE
  • IDE Features
  • Building Test Cases
  • Running Test Cases
  • Debugging
  • Writing a Test Suite
  • Executing Machine Learning -IDE Tests on Different Browsers
  • Understanding of Source files and Target
  • XPATH and different techniques
  • Using attribute
  • Text ()
  • Following
  • Introduction
  • How Machine Learning Works
  • Installation
  • Configuring Machine Learning With Eclipse
  • Machine Learning RC Vs Machine Learning
  • Programming your tests in WebDriver
  • Debugging WebDriver test cases
  • Troubleshooting
  • Handling HTTPS and Security Pop-ups
  • Running tests in different browsers
  • Handle Alerts / Pop-ups and Multiple Windows using WebDriver
  • Introducing Test Design
  • What to Test
  • Verifying Results
  • Choosing a Location Strategy
  • UI Mapping
  • Handling Errors
  • Testing Ajax Applications
  • How to debug the test scripts
  • Reading test data from excel file
  • Writing data to excel file
  • Reading test configuration data from text file
  • Test logging
  • Machine Learning Grid Overview
  • What is a Framework
  • Types of Frameworks
  • Modular framework
  • Data Driven framework
  • Keyword driven framework
  • Hybrid framework
  • Use of Framework
  • Develop a framework using TestNG/WebDriver

Objectives of Machine Learning Course In OMR

Our Machine Learning Course in OMR is a great example of world class syllabus that includes topics that are trending all over the globe in the topic of Machine Learning. Since our syllabus is designed for candidates of all levels of experience, it begins with fundamental topics and moves all the way to advanced topics gradually. Some of the topics from the syllabus are discussed below briefly:

  • The Machine Learning Course in OMR begins with fundamental topics like Core Java Fundamentals, Declaration and Access Control, Object Orientation, Overloading and Overriding, Constructors etc.
  • The syllabus then moves onto topics like, Flow Control, Exceptions, and Assertions, TestNG, Introduction to Machine Learning, Machine Learning IDE etc.
  • The syllabus finally moves onto advanced Machine Learning topics like XPATH, Automation Test Design Considerations, Handline Test Data etc.
Click Here to Get Started

Highlights of Machine Learning Course In OMR?

Machine learning, a branch of artificial intelligence (AI), is dedicated to crafting algorithms and methodologies empowering computers to obtain insights and anticipate outcomes from data. Unlike traditional programming where tasks are explicitly defined, machine learning algorithms are engineered to recognize patterns and correlations within datasets, facilitating autonomous learning and decision-making processes.

The following are the reasons for learning Machine Learning:

  • Data-Driven Decision Making: In today’s data-driven landscape, businesses leverage insights derived from data to inform decision-making. Machine learning facilitates the extraction of valuable insights from vast datasets, enhancing the decision-making process.
  • Automation: Machine learning streamlines operations by automating repetitive tasks, freeing up human resources for more complex endeavors. This boosts efficiency and productivity across industries.
  • Predictive Analytics: Machine learning empowers organizations with predictive analytics capabilities, enabling them to forecast trends, anticipate customer behavior, and optimize processes. This predictive edge fosters competitiveness in the market.

SLA does not demand or require any prerequisites for any courses. All the courses in SLA are designed to be taught from basic level, so it is open to everyone. However, having a fundamental understanding of the following topics can help you learn the course better:

  • Programming Proficiency: Mastery of Python or R is vital, along with familiarity with fundamental programming concepts such as variables, loops, functions, and data structures.
  • Mathematical Foundation: A robust grasp of calculus, linear algebra, and probability theory is crucial, as these concepts underpin many machine learning algorithms.
  • Statistical Knowledge: Understanding statistics is essential for comprehending machine learning principles, assessing model performance, and interpreting outcomes effectively.

Our Machine Learning Course is suitable for: 

  • Students
  • Job Seekers
  • Freshers
  • IT professionals aiming to enhance their skills
  • Professionals seeking career change
  • Enthusiastic programmers

The Machine Learning course fees depend on the program level (basic, intermediate, or advanced) and the course format (online or in-person).On average, the Machine Learning course fees come in the range of ₹15,000 to ₹25,000 INR for 2 months, inclusive of international certification. For some of the most precise and up-to-date details on fees, duration, and certified Machine Learning certification, kindly contact our Best Placement Training Institute in Chennai directly.

The following are some of the jobs related to Machine Learning:

  • Machine Learning Engineer
  • Data Scientist
  • Artificial Intelligence (A.I) Researcher
  • Data Analyst

The Machine Learning Engineer freshers salary typically with less than 2 years of experience earn approximately ₹3-4 lakhs annually. For a mid-career Machine Learning Engineer with around 3 years of experience, the average annual salary is around ₹5-6 lakhs. An experienced Machine Learning Engineer with more than 6 years of experience can anticipate an average yearly salary of around ₹9-10 lakhs. Visit SLA for more courses.

Here are several real time Machine Learning applications:

  • Real TIme predictive maintenance
  • Real Time Fraud Detection
  • Real Time Sentiment Analysis
  • Real-Time Object Detection and Tracking

Boost your skills with Machine Learning Course In OMR with Experts

Our Mentors are from Top Companies like:

The following are our trainers profile for the Machine Learning Course in OMR:

  • Experienced Machine Learning Trainers with 8+ years of experience in latest software technologies across several industries.
  • They are proficient in programming languages like Java, Python, R and MATLAB as well as in Machine Learning algorithms including supervised, unsupervised, and deep learning.
  • They offer creative and customized training to accelerate the learning curve of Machine Learning Training in Chennai.
  • They are skilled in teaching various Machine Learning models and concepts such as dimensionality reduction, recommender systems, reinforcement learning, natural language processing, and image processing.
  • They have conducted workshops on Machine Learning, Neural Networks, deep learning, and related topics in various educational institutions.
  • They possess a deep knowledge on Big Data technologies such as Apache Spark, Hadoop, Tableau, etc.
  • They are capable of teaching different types of Machine Learning tools and techniques like Linear Regression, Logistic Regression, Naive Bayes, K-Nearest Neighbors, SVM, Q-Learning, Decision Trees, and Random Forests.
  • They are knowledgeable on statistical analysis tools like SAS, Excel, SPSS and various data visualization mediums and have hands-on experience in deploying and optimizing Machine Learning solutions.
  • They are experts in preparing students to perform well in Machine Learning related certifications and are dedicated to fostering a collaborative and innovative learning environment.
  • They are well versed in building strong and positive relationships with the students and are able to motivate them in complex tasks, assignments, resume making, and interview preparation.
Click Here to Get Started

Explore Real Projects Built by Softlogic Students

Explore the real-world, enterprise-level projects designed and executed by our successful alumni. Gain the same hands-on exposure to live industry projects, build a standout portfolio, and prove your practical skills to top hiring managers instantly.
Real-Time Language Translation
Consumption Forecasting
Real-Time Traffic Prediction
Project Practices for Machine Learning Course In OMR

Why Softlogic Systems is the Best Choice for Machine Learning Course In OMR

Crowdfunding Platform
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
Voting System with Python Django
Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
Request a Free Callback

Certifications

Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with  Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.

The Global Edge: Certified Vs. Uncertified

With Global Certification

  • ✅ Visibility in ATS Filters
  • ✅Command Higher Hikes
  • ✅ Verified Skill Proof
  • ✅Global Job Access
  • ✅ Fast-Tracked Senior Roles

Without Global Certification

  • ❌ Stuck in Screening
  • ❌ Lower Starting Pay
  • ❌ Unproven Technical Ability
  • ❌ Limited Local Scope
  • ❌ Slower Career Leader
  •  
Let's take the First Step to a better future! GET Free Career Guidance
The SLA Way to Get Placed

The SLA Way to Get Placed

Seven connected stages, one continuous path from enrollment to your career launch — here is exactly how it works, step by step.

01
🎓

Technical Mastery

Industry-aligned curriculum, daily coding tasks, real-time projects

02
💻

Career Readiness

Aptitude, Communication, ATS-friendly resume optimization

03
🎯

Placement Prep

Aptitude, communication tuning and technical interview mastery.

04
💬

Panel Mock Interviews

Real company-pattern mocks with expert panel feedback.

05
👨‍💼

Interview schedule

Multiple company drives with lifetime placement support.

06
📝

Interview Feedback

Detailed performance analysis and one-on-one guidance.

07
🏆

Launch Your Career

Land your first job with lifetime alumni and career support.

Listen to Our Students' Video Testimonials

FAQ

SLA has a total of two branches in the city, one in Navalur, OMR and another in K.K. Nagar. 

SLA’s OMR branch has plenty of opportunity for candidate’s internship and placements as it is located in the hub of IT companies in OMR.

Yes, SLA has EMI options with 0% interest.

Yes, SLA’s trainers have plenty of experience in IT and in teaching.

SLA has a designated HR personnel to deal with student  issues.

In supervised learning, models learn from labeled data to make predictions, while unsupervised learning finds patterns in unlabeled data without guidance.

Performance is assessed using metrics like accuracy, precision, recall, and cross-validation techniques such as k-fold cross-validation.

Overfitting happens when models learn noise, countered by techniques like regularization and early stopping to prevent it.

Steps include data collection, feature engineering, model selection, training, evaluation, hyperparameter tuning, and deployment with monitoring.

Common algorithms include linear regression, logistic regression, decision trees, random forests, SVM, k-NN, Naive Bayes, and neural networks.

Related Blogs

Our counselors will share the Syllabus PDF with you via Email / Whatsapp

Get Your Instant Job & Placement Eligibility
Report in Just 30 Seconds!
Below 30% - not Eligible (Needs Preparation)
30% – 70% - Partially Eligible (Needs Guidance)
Above 70% - Fully Eligible (Ready to Start)

We are excited to get started with you

Give us your information and we will arange for a free call (at your convenience) with one of our counsellors. You can get all your queries answered before deciding to join SLA and move your career forward.