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    Generative Ai - Google Vertex Ai - For Qa Engineers

    Posted By: ELK1nG
    Generative Ai - Google Vertex Ai - For Qa Engineers

    Generative Ai - Google Vertex Ai - For Qa Engineers
    Published 7/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.20 GB | Duration: 2h 31m

    Google Vertex AI , Boost Efficiency, AI Automation, AI Helper, AI Data, Generative AI

    What you'll learn

    How to Use Goole Vertex AI for Quality Engineering

    Improve Test automation with AI

    Setup CI/CD pipelines with Vertex AI

    Improve efficiency of working wit AI

    Perform a validation for stories with Generative AI

    Use Generative AI as a tutor

    SQL and VertexAI

    Generate and manipulate Test Data with AI

    Requirements

    no programming experience needed

    Description

    This introductory course is designed specifically for Software Quality Engineers interested in leveraging the power of Generative AI to enhance their testing, automation, and productivity.Throughout the course, participants will learn how to apply Generative AI techniques to automate the generation of test cases, simulate user behavior, create user stories, and generate test data. The course will provide a practical understanding of how AI can be used to improve software quality and boost productivity, rather than focusing on the underlying AI algorithms and models.Topics:Understanding Generative AI: An overview of Generative AI and its applications in software testing and quality assurance.Automated Test Generation: Learn how to use Generative AI to automatically generate a variety of test cases, reducing manual effort and increasing test coverage.Automated User Story Creation: Understand how Generative AI can be used to generate user stories, helping to streamline the requirements gathering and software development process.Test Data Creation: Learn how Generative AI can be used to generate test data, ensuring comprehensive and effective testing while saving time and effort.Code Investigation: Discover how Generative AI can assist in investigating complex code, identifying potential issues, and understanding code dependencies.Code Explanation: Learn how Generative AI can be used to explain code behavior, making it easier to understand complex code and improve code quality.Boosting Productivity: Understand how these Generative AI techniques can be integrated into your existing workflows to boost productivity, improve software quality, and accelerate delivery times.AI Model Trainer. Lean how to train your own AI modelUnderstand CI/CD Concepts with AI

    Overview

    Section 1: Introduction

    Lecture 1 Course Structure

    Section 2: Setup Vertex AI in Google Cloud Platform

    Lecture 2 Setting up the account

    Lecture 3 Create Project

    Lecture 4 Orientation in Vertex AI

    Lecture 5 Prompt Exampels

    Lecture 6 First Prompt

    Lecture 7 Temperature of Model

    Lecture 8 Model Training - Manual

    Lecture 9 Model Training JSONL

    Lecture 10 Connecting through an API

    Section 3: VERTEX AI - Artifact Generator / Accelerator

    Lecture 11 AI explains a Testing Principle

    Lecture 12 Rapid Start Documentation

    Lecture 13 Aid in tool Assesment

    Lecture 14 Identify Test Cases

    Lecture 15 Generate Gerkin Scenarios

    Section 4: VERTEX AI for code Generation

    Lecture 16 Generation of BDD - Cucumber Feature File

    Lecture 17 Generate Usable code from feature file

    Lecture 18 Enhance Code for FrontEnd Selectors

    Lecture 19 Generate the Page Object Model

    Lecture 20 Decouple Code - Test Data Example

    Lecture 21 Generate Unique Test Data

    Lecture 22 Switch between data Sets

    Lecture 23 Generate Payload from Code

    Lecture 24 Generate Tests from Code

    Lecture 25 Cluster Test Data Together

    Lecture 26 Generate CURL - HTTP Calls

    Lecture 27 AI generates Postman Collection

    Lecture 28 Transform to Rest Assured

    Section 5: Understanding Concepts

    Lecture 29 Understand a WSDL

    Lecture 30 Find Solution for coding challenges

    Lecture 31 Resolve Dependencies- POM.XML

    Lecture 32 Explain Code

    Lecture 33 Understand CI/CD Files

    Lecture 34 Understand Infrastructure - AZURE ARM

    Lecture 35 Understand a DB Schema

    Lecture 36 Generating SQL Code - Selects

    Lecture 37 Generate SQL Code - Inserts

    Lecture 38 Generate large volumes of data

    Lecture 39 Import Data into DB

    Lecture 40 Understand Docker file

    Business Analysts,Quality engineers,Software Engineers,Scrum Masters