At APTRON, we help students to understand the fundamental and advanced concept of Machine learning, we prepare them for a successful career. We have successfully trained thousands of students in Noida and have been able to turn ourselves into the best Machine Learning Training Institute in Noida. At APTRON Machine learning Training in Noida is conducted by professionals with years of experience in managing real-time Machine learning projects. APTRON offers Machine learning Training in various different modes i.e. Machine learning Online Training, Classroom Training, Machine learning Corporate Training, Fast Track Training and one-to-one training. Our experiences professions have designed our machine learning Training syllabus to match with the real world requirements and leading Industry norms.
Module 1 Core Java Fundamentals
1. Java Programming Language Keywords 2. Literals and Ranges of All Primitive 3. Data Types 4. Array Declaration, Construction, and Initialization
Module 2 Declarations and Access Control
1. Declarations and Modifiers 2. Declaration Rules 3. Interface Implementation
Module 3 Object Orientation, Overloading and Overriding, Constructors
1. Benefits of Encapsulation 2. Overridden and Overloaded Methods 3. Constructors and Instantiation 4. Legal Return Types
Module 4 Flow Control, Exceptions, and Assertions
1. Writing Code Using if and switch statements 2. Writing Code Using Loops 3. Handling Exceptions 4. Working with the Assertion Mechanism 5. Write Java Programs
Module 5 TestNG
1. Setting up TestNG 2. Testing with TestNG 3. • Composing test and test suites 4. Generating and analyzing HTML test reports 5. Troubleshooting
Module 6 Machine Learning
1. Introducing Machine Learning 2. To Automate or Not to Automate? 3. Test Automation for Web Applications 4. Machine Learning Components 5. Supported Browsers 6. Flexibility and Extensibility
Module 7 Machine Learning -IDE
1. Introduction 2. Installing the IDE 3. Opening the IDE 4. IDE Features 5. Building Test Cases 6. Running Test Cases 7. Debugging 8. Writing a Test Suite 9. Executing Machine Learning -IDE Tests on Different Browsers
Module 8 - XPATH
1. Understanding of Source files and Target 2. XPATH and different techniques 3. Using attribute 4. Text () 5. Following
Module 9 Machine Learning
1. Introduction 2. How Machine Learning Works 3. Installation 4. Configuring Machine Learning With Eclipse 5. Machine Learning RC Vs Machine Learning 6. Programming your tests in WebDriver 7. Debugging WebDriver test cases 8. Troubleshooting 9. Handling HTTPS and Security Pop-ups 10. Running tests in different browsers 11. Handle Alerts / Pop-ups and Multiple Windows using WebDriver
Module 10 - Automation Test Design Considerations
1. Introducing Test Design 2. What to Test 3. Verifying Results 4. Choosing a Location Strategy 5. UI Mapping 6. Handling Errors 7. Testing Ajax Applications 8. How to debug the test scripts
Module 11 - Handling Test Data
1. Reading test data from excel file 2. Writing data to excel file 3. Reading test configuration data from text file 4. Test logging 5. Machine Learning Grid Overview Module 12 - Building Automation Frameworks Using Machine Learning 1. What is a Framework 2. Types of Frameworks 3. Modular framework 4. Data-Driven framework 5. Keyword-driven framework 6. Hybrid framework 7. Use of Framework 8. Develop a framework using TestNG/WebDriver