Implementing AI in Software Testing / AI in Test Automation (TTAI2140)

 

Course Overview

Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements.

Who should attend

This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise.

Prerequisites

While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos.

Course Objectives

This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, you'll explore:

  • Exploring AI
  • Introduction to Machine Learning
  • Introduction to Deep Learning
  • Introduction to Data Science
  • Artificial Intelligence (AI) in Software Testing
  • Implementing AI in Test Automation
  • Innovative AI Test Automation Tools for the Future

Outline: Implementing AI in Software Testing / AI in Test Automation (TTAI2140)

Exploring AI

  • AI-Initiatives
  • The Priority: Excellence
  • AI- Intelligence Types
  • The Machine Learning Types
  • The Quality Learning Initiative
  • The Inception in Academics
  • AI - Importance & Applications
  • The Re-visit
  • Learning Re-visited via AI
  • Teaching in the world of AI
  • Exploring AI for Self-Development
  • AI In Academics Beyond Academics

Introduction to Machine Learning

  • What is Machine Learning?
  • Why Machine Learning?
  • Examples - Algorithms behind Machine Learning

Introduction to Deep Learning

  • What is Deep Learning?
  • Why Deep Learning?
  • Example - Deep Learning Vs Machine Learning

Introduction to Data Science

  • What is Data Science?
  • Why Data Science?
  • Examples - Use Cases of Data Science

Artificial Intelligence (AI) in Software Testing

  • What is AI in Software Testing?
  • The Role of AI Testing
  • Why do we Need AI in Software Testing?
  • Pros and Cons of AI in Software Testing
  • Applications of AI in Software Testing
  • Is it time for Testers or QA Teams to worry about AI?
  • Automated Testing with Artificial Intelligence

Implementing AI in Test Automation

  • Training the AI Bots
  • Challenges with AI-powered Applications
  • Examples - Real World use cases using Artificial Intelligence
  • Demo - Facial Emotion Detection Using Artificial Intelligence
  • Demo - Text Analysis API Using Artificial Intelligence
  • Demo - EYE SPY Mobile App Using Artificial Intelligence

Innovative AI Test Automation Tools for the Future

  • Tools used for Implementing AI in Automation Testing
  • What is NEXT?
  • AI Test Automation Demo using Testim

Prices & Delivery methods

Online Training

Duration
2 days

Price
  • Online Training: CAD 2,635
  • Online Training: US$ 1,995
Classroom Training

Duration
2 days

Price
  • Canada: CAD 2,635

Click on town name or "Online Training" to book Schedule

Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
*   This class is delivered by a vendor or third party partner.

United States

Online Training 10:00 US/Eastern * Enroll
Online Training 10:00 US/Eastern * Enroll