Course Description

Summary

This course explains the concepts of OpenText DevOps Aviator, Generative AI (GenAI) capabilities, and next-generation Large Language Models (LLMs) introduced in OpenText™ Core Software Delivery Platform.

Overview

This foundational course is designed to help you understand the concepts behind OpenText DevOps Aviator and its powerful AI-driven capabilities. Through a combination of theory and hands-on exercises, you will learn how to leverage Artificial Intelligence (AI) to enhance every stage of the software delivery lifecycle.

In this course, you will learn how to integrate AI within the OpenText Core Software Delivery Platform (previously known as ValueEdge), including infrastructure, deployment options, licensing, and security. You will also discover how to use Smart Assistant to generate tests, identify functional gaps, suggest defect resolutions, and improve request accuracy using images.

You will further learn how to optimize feature development by breaking features into user stories, predicting time-to-market, and reducing risks using AI tools such as root cause analysis.

Additionally, you will learn to use power actions to automate user story generation, create manual tests and codeless scripts from videos, generate reproduction steps, and develop strategies for risk reduction.

This course is ideal for software testing SMEs, project managers, test managers, test leads, IT professionals, and release managers.

Highlights:

• Integrate AI capabilities within OpenText Core Software Delivery Platform.
• Identify the people and use cases that will benefit from DevOps Aviator.
• Use the capabilities of the Smart Assistant to address a variety of use cases.
• Optimize feature development processes.
• Use power actions in OpenText DevOps Aviator.

Course Objectives

On completion of this course, participants should be able to:

• Describe the AI capabilities in OpenText Core Software Delivery Platform.
• Improve testing accuracy by using AI to automatically detect defects from video footage, significantly reducing analysis time.
• Accelerate test creation by generating manual test steps through simple AI commands.
• Use AI-driven time-to-market predictions to monitor and forecast feature delivery timelines based on historical data and machine learning.
• Gain an understanding of the AI infrastructure within the OpenText Core Software Delivery Platform.
• Explain licensing models and security best practices for OpenText DevOps Aviator.
• Leverage an AI-powered smart assistant to quickly obtain clear, concise explanations in plain language for features, defects, tasks, user stories, and tests.
• Transform manual test scripts into automated, codeless tests or Gherkin Behavior-Driven Development (BDD) scenarios with the help of AI-generated test automation.

Prerequisites

1-5600 - ValueEdge Essentials