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AI Automation with MABL

Software Testing

Course Overview


The AI Automation with MABL program is an 80-hour comprehensive, instructor-led training designed for beginners, test engineers, software testers, and quality analysts looking to advance their skills in AI-powered test automation. This course provides a solid foundation in automation testing strategies and frameworks, while focusing on leveraging MABL, an intelligent test automation platform, to streamline quality assurance processes.

 

Participants will begin by understanding the fundamentals of test automation, including data-driven, keyword-driven, and hybrid frameworks, and then explore MABL’s AI-driven capabilities for creating, executing, and managing automated tests. Through guided hands-on exercises, learners will configure workspaces, build reusable flows, implement assertions and variables, create test plans, and analyze test results with actionable insights.

 

The training culminates with a real-world case study and assessment, allowing participants to design and execute an AI-automated testing project from start to finish. By the end of the course, learners will have the skills to effectively utilize MABL for intelligent, scalable, and efficient test automation in modern software testing environments.


Program Duration

Duration: 5 days (40 hours)

Format: Classroom-based, Virtual Instructor-Led Training


COURSE OBJECTIVES

By the end of this course, participants will be able to:

·      Understand the Fundamentals of Test Automation

o  Explain the principles of automation testing and when to automate.

o  Compare and contrast automation frameworks including data-driven, keyword-driven, and hybrid approaches.

·      Leverage MABL for AI-powered Test Automation

o  Understand MABL features, architecture, and AI capabilities for automating functional and regression testing.

o  Set up workspaces, environments, and applications to prepare for test execution.

·      Build and Manage Automated Test Cases

o  Create basic and advanced tests using the MABL Trainer.

o  Implement test steps, variables, reusable flows, assertions, and waits to create robust and maintainable test scripts.

o  Organize and trigger tests effectively to ensure coverage and efficiency.

·      Implement Data-Driven and Reusable Test Flows

o  Execute data-driven tests for broader test coverage.

o  Create reusable flows and test plans to optimize automation efforts and reduce redundancy.

·      Analyze, Optimize, and Manage Testing Workflows

o  Run tests, review results, and interpret MABL Insights to identify issues and trends.

o  Use the MABL CLI to streamline automation processes and integrate with CI/CD pipelines.

·      Apply AI Automation in Real-World Scenarios

o  Execute an end-to-end case study project using MABL for AI-driven automation.

o  Evaluate test effectiveness and present findings as part of the final assessment.

 

AUDIENCE

·      This training has been designed for beginners, Test Engineers, Software Testers, Test/Quality Analysts to help them ramp up their skills on test automation strategies.


PREREQUISITES

·      Good to have knowledge on Software Testing (Functional and Non-Functional), basic programming skills, SDLC, STLC.

COURSE OUTLINE


DAY 1:

·      Introduction to Automation

·      To Automate, or not to Automate

·      Automation Frameworks

·      Data Driven, Keyword Driven and Hybrid Frameworks

·      What is MABL?

·      MABL Features

·      MABL AI Capabilities

·      MABL Trainer

·      Creating Applications and environment

·      Creating a basic test

 

DAY 2:

·      Workspace configuration, including adding environments and applications

·      Building tests as a series of steps

·      Organizing tests for success

·      Triggering tests in mabl

·      Assertions

·      Variables

 

DAY 3

·      Waits

·      Data drive test

·      Adding reusable flows

·      Creating Plans

 

DAY 4

·      Managing Tests

·      Running Tests

·      Reviewing Results

·      Insights

·      MABL CLI

 

DAY 5

·      Case Study-Project

·      Assessment


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