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Machine Learning Training in OMR

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Machine Learning as a concept itself is pretty interesting and unique. Being a sub-field in Artificial Intelligence (A.I.)Machine Learning is an incredibly useful skill as it can learn and make predictions from data as opposed to programmed to do a specific function. Hence, learning Machine Learning from our Machine Learning Training Institute in OMR is your safe bet. Our Machine Learning Course in OMR, is filled with current topics in trend along with a modern and sophisticated curriculum. So, don’t wait to join our Machine Learning Training with certification & placements  to experience our world class training. 

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What this Course Includes?

  • Technology Training
  • Aptitude Training
  • Learn to Code (Codeathon)
  • Real Time Projects
  • Learn to Crack Interviews
  • Panel Mock Interview
  • Unlimited Interviews
  • Life Long Placement Support

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Course Syllabus

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Breakdown of Machine Learning Training in OMR Fee and Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
May 2025
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
May 2025
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Syllabus of Machine Learning Training in OMR

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Module 1 – Core Java Fundamentals
  • Java Programming Language Keywords
  • Literals and Ranges of All Primitive
  • Data Types
  • Array Declaration, Construction, and Initialization
Module 2 – Declarations and Access Control
  • Declarations and Modifiers
  • Declaration Rules
  • Interface Implementation
Module 3 – Object Orientation, Overloading and Overriding, Constructors
  • Benefits of Encapsulation
  • Overridden and Overloaded Methods
  • Constructors and Instantiation
  • Legal Return Types
Module 4 – Flow Control, Exceptions, and Assertions
  • Writing Code Using if and switch statements
  • Writing Code Using Loops
  • Handling Exceptions
  • Working with the Assertion Mechanism
  • Write Java Programs
Module 5 – TestNG
  • Setting up TestNG
  • Testing with TestNG
  • Composing test and test suites
  • Generating and analyzing HTML test reports
  • Troubleshooting
Module 6 – Machine Learning
  • Introducing Machine Learning
  • To Automate or Not to Automate?
  • Test Automation for Web Applications
  • Machine Learning Components
  • Supported Browsers
  • Flexibility and Extensibility
Module 7 – Machine Learning -IDE
  • 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
Module 8 – XPATH
  • Understanding of Source files and Target
  • XPATH and different techniques
  • Using attribute
  • Text ()
  • Following
Module 9 – Machine Learning
  • 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
Module 10 – Automation Test Design Considerations
  • 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
Module 11 – Handling Test Data
  • Reading test data from excel file
  • Writing data to excel file
  • Reading test configuration data from text file
  • Test logging
  • Machine Learning Grid Overview
Module 12 – Building Automation Frameworks Using Machine Learning
  • 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 Learning Machine Learning Training in OMR

Download Syllabus

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.

Reason to choose SLA for Machine Learning Training in OMR

  • SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
  • Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
  • Instructor led Online and Offline Training. No recorded sessions.
  • Gain practical Technology Training through Real-Time Projects.
  • Best state of the art Infrastructure.
  • Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
  • In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
  • Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
  • Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
  • Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
  • Panel Mock Interviews
  • Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
  • Unlimited Interview opportunities until you get placed.
  • 1000+ hiring partners.
  • Enjoy Lifelong placement support at no cost.
  • SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
  • Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Want to Speak to our Trainer about Machine Learning Training in OMR?Request a Free Callback

Highlights of The Machine Learning Training in OMR

What is Machine Learning?

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.

What are the reasons for learning Machine Learning?

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.
What are the prerequisites for learning a Machine Learning Course in OMR?

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
What are the course fees and duration?

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.

What are some of the jobs related to Machine Learning?

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

  • Machine Learning Engineer
  • Data Scientist
  • Artificial Intelligence (A.I) Researcher
  • Data Analyst
What is the salary range for the position of Machine Learning Engineer?

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.

List a few real time Machine Learning applications.

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

Who are our Trainers for Machine Learning Training in OMR?

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.
Want to Speak to our Trainer about Machine Learning Training in OMR?Request a Free Callback

What Modes of Training are available for Machine Learning Training in OMR?

Offline / Classroom Training

A Personalized Learning Experience with Direct Trainer Engagement!
  • Direct Interaction with the Trainer
  • Clarify doubts then and there
  • Airconditioned Premium Classrooms and Lab with all amenities
  • Codeathon Practices
  • Direct Aptitude Training
  • Live Interview Skills Training
  • Direct Panel Mock Interviews
  • Campus Drives
  • 100% Placement Support
Explore Offline Courses

Online Training

Interactive Quiz Website
Instructor Led Live Training! Learn at the comfort of your home
  • No Recorded Sessions
  • Live Virtual Interaction with the Trainer
  • Clarify doubts then and there virtually
  • Live Virtual Interview Skills Training
  • Live Virtual Aptitude Training
  • Online Panel Mock Interviews
  • 100% Placement Support
Explore Online Courses

Corporate Training

Blended Delivery model (both Online and Offline as per Clients’ requirement)
  • Industry endorsed Skilled Faculties
  • Flexible Pricing Options
  • Customized Syllabus
  • 12X6 Assistance and Support
Explore Offline Courses
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Certifications

Take your career to new heights with Softlogic's software training certifications.
Improve your abilities to get access to rewarding possibilities
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 an IBM Certification
Get an IBM certification 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.

Project Practices for Machine Learning Training in OMR 

Real-Time Language Translation

Create a system that changes words or talking from one language to another right away, so people who speak different languages can understand each other.

Consumption Forecasting

Make a system that guesses how much energy people will use right away to save money and use energy better.

Real-Time Traffic Prediction

Build a system that guesses when there will be lots of traffic or how long it’ll take to get somewhere, using info from before, the weather, and what’s happening now.

Real-Time Price Optimization

Develop a system that changes prices right away based on what’s happening in the market, what people want, and what other companies are charging.

Real-Time Health Monitoring:

Create a system that keeps an eye on your health data from gadgets or sensors all the time. It can find when something’s wrong and warn you early.

Real-Time Speech Recognition:

Make a system that listens to and understands speech instantly, like when you talk to your phone or use a program to write what you say.

Real-Time Personalization:

Build a system that gives people personalized recommendations right away, based on what they like and do. This can be used in online stores, streaming sites, or ads on the internet.

Real-Time Anomaly Detection:

Make a system that watches computer networks, logs, or sensors all the time to find strange things happening. This can help stop hackers or find problems with machines quickly.

Real-Time Object Detection and Tracking

Create a system that finds and follows objects in live videos. This can be used in cameras for security, self-driving cars, or apps that put virtual things in the real world.

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The SLA way to Become
a Machine Learning Training in OMR Expert

Enrollment

Technology Training

Coding Practices
Realtime Projects

Placement Training

Aptitude Training
Interview Skills
CRM System Testing

Panel Mock
Interview

Unlimited
Interviews

Interview
Feedback

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Google Reviews

Rating
4.8
1,053 Google reviews

Hari Krishnan

I am from Mechanical background. I have no command over programming before joining SLA Such a wonderful place to learn and achieve your goals.Having wonderful…
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Aswin Pandiyan

It's my genuine review i searched many institutes to do software testing course and finally landed in SLA. My counselor Bala backed me and my…
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Venkatesh

I joined SLA for python course one year back, and i got selected as software developer with decent salary, with after one year of experience,…
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Ganesan Vasu

I'm from non-IT background, but always wanted to be in IT, SLA make my dream true and I don't know how many will see this…
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Placement Support for a Machine Learning Training in OMR

Genuine Placements. No Backdoor Jobs at Softlogic Systems.

Free 100% Placement Support

Aptitude Training
from Day 1

CRM System Testing

Interview Skills
from Day 1

Softskills Training
from Day 1

Build Your Resume

Build your LinkedIn Profile

Build your GitHub
digital portfolio

Panel Mock Interview

Unlimited Interviews until you get placed

Life Long Placement Support at no cost

Unlock Career Opportunities with our Placement TrainingRequest a Free Callback

FAQs for
Machine Learning Training in OMR

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.

Additional Information for
Machine Learning Training in OMR

Our Machine Learning Training in OMR has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates.. Our Machine Learning course syllabus will teach you topics that no other institute will teach. Enroll in our Machine Learning training to explore some innovative Top project ideas for the Machine Learning.

Machine learning originated from advancements in computer science, mathematics, and cognitive psychology, dating back to the mid-20th century. Key milestones include:

  • Foundations in Cybernetics and Cognitive Science (1940s-1950s), with Norbert Wiener’s work in cybernetics and Alan Turing’s Turing Test inspiring the idea of learning machines.
  • The Birth of Machine Learning (1950s-1960s), marked by Arthur Samuel’s term “machine learning” and the development of neural networks by Frank Rosenblatt.
  • Symbolic AI and Expert Systems (1960s-1970s), focusing on rule-based approaches and expert systems for emulating human expertise.
  • Connectionism and Neural Networks (1980s-1990s), witnessing a resurgence in neural networks and the development of backpropagation and Support Vector Machines (SVMs).
  • Statistical Learning and Big Data (2000s-Present), characterized by the rise of statistical learning methods, big data technologies, and breakthroughs in deep learning for computer vision, natural language processing, and robotics. Machine learning’s evolution has been driven by interdisciplinary collaboration and practical applications.

Related Blogs for
Machine Learning Training in OMR

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