Masterclass Shift Left- Accelerated Software Testing

Masterclass Shift Left: Accelerated Software Testing, available at $64.99, has an average rating of 4.43, with 98 lectures, 5 quizzes, based on 92 reviews, and has 685 subscribers.

You will learn about Shift Left approach in software development Preventive actions in applying shift left Practical examples of shift left pipelines Advanced Quality Engineering The Testing Pyramid CHAT GPT – GENERATIVE AI Demo Proper test automation techniques Jmeter Pefromance CI/CD Pipeline with CHAT GPT Feature Branch Testing Shift Right | Testing in production GITHUB CI/CD Pipelines How to design TestOPS Actions Design preventive Code Quality Policies Design preventive Code Build Policies Speed and cost of Test Automation Short and Long lived Testing Environments This course is ideal for individuals who are Quality Engineers or Enginering Managers or Developers or Project Manaegrs or Scrum Masters or Software Testers It is particularly useful for Quality Engineers or Enginering Managers or Developers or Project Manaegrs or Scrum Masters or Software Testers.

Enroll now: Masterclass Shift Left: Accelerated Software Testing

Summary

Title: Masterclass Shift Left: Accelerated Software Testing

Price: $64.99

Average Rating: 4.43

Number of Lectures: 98

Number of Quizzes: 5

Number of Published Lectures: 97

Number of Published Quizzes: 5

Number of Curriculum Items: 103

Number of Published Curriculum Objects: 102

Original Price: $34.99

Quality Status: approved

Status: Live

What You Will Learn

Shift Left approach in software development

Preventive actions in applying shift left

Practical examples of shift left pipelines

Advanced Quality Engineering

The Testing Pyramid

CHAT GPT – GENERATIVE AI Demo

Proper test automation techniques

Jmeter Pefromance CI/CD Pipeline with CHAT GPT

Feature Branch Testing

Shift Right | Testing in production

GITHUB CI/CD Pipelines

How to design TestOPS Actions

Design preventive Code Quality Policies

Design preventive Code Build Policies

Speed and cost of Test Automation

Short and Long lived Testing Environments

Who Should Attend

Quality Engineers

Enginering Managers

Developers

Project Manaegrs

Scrum Masters

Software Testers

Target Audiences

Quality Engineers

Enginering Managers

Developers

Project Manaegrs

Scrum Masters

Software Testers

Welcome to the “TestOPS Shift Left: Accelerating Quality and Efficiency” course, an in-depth exploration of the fundamentals and best practices for optimizing the software development lifecycle by identifying and addressing potential issues at earlier stages. This comprehensive course aims to equip you with the knowledge, skills, and tools needed to effectively integrate the Shift Left approach into your development processes, ultimately saving time, resources, and improving the overall quality of your software products.

We will examine the importance of code quality in the Shift Left approach. You will learn how to enforce best practices, such as code reviews, static analysis, blocking PRs and test-driven development, to ensure your codebase remains maintainable, scalable, and free from defects. By embracing these practices, you can reduce the likelihood of introducing new issues and improve the overall stability of your software.

In our chapter on automation efficiency, we will focus on leveraging automation tools and strategies to optimize your development process. By automating repetitive tasks, such as testing, integration, and deployment, you can streamline your pipeline and minimize the risk of human error. We will also discuss how to select the right tools and techniques for your specific project needs, ensuring that your team can work more efficiently and effectively.

Lastly, our course will provide you with an in-depth understanding of various prevention techniques, including vulnerability scanning, threat modeling, and secure coding practices. You will learn how to proactively identify and mitigate potential security risks, ensuring that your software is not only high-performing but also secure from potential threats.

By the end of this course, you will have gained a comprehensive understanding of the Shift Left approach, empowering you to create more efficient development pipelines, reduce risk, and deliver high-quality, reliable software products that meet the ever-evolving needs of your users.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Project used for Automation Demonstration

Lecture 3: 6 Minute Shift Left Challenge

Lecture 4: Trends – 3 powerful studies to keep you informed and connected

Chapter 2: Project Dependencies – Optional

Lecture 1: Install Java

Lecture 2: Install Maven

Lecture 3: Install Visual Studio Code

Chapter 3: Introduction to Shift Left

Lecture 1: Chapter Introduction

Lecture 2: What is shift Left approach

Lecture 3: Examples of Shift Left Actions

Lecture 4: Benefits of Shift Left

Lecture 5: Enabler of Shift Left – Automation

Lecture 6: Demo – Example of Automation Enabler

Lecture 7: Enabler of Shift Left – Bottom-Up approach

Lecture 8: Demo – Example of Bottom-Up Approach Enabler

Lecture 9: Enabler of Shift Left – Quality Policies

Lecture 10: Demo – Example of Quality Policies Enabler

Lecture 11: Enabler of Shift Left – Reutilization

Lecture 12: Demo – Example of Reutilization Enabler

Lecture 13: Enabler of Shift Left – Built in Quality

Lecture 14: Test Driven Development TDD- a preventive approach

Lecture 15: Demo – VS Code – Java – Test Driven Development

Lecture 16: What is Shift Right

Chapter 4: Test Automation in context of Shifting Left

Lecture 1: Chapter intro

Lecture 2: The Test Pyramid

Lecture 3: Martin Fowlers Test Pyramid

Lecture 4: Ice Cream Cone Antipattern

Lecture 5: Unit Tests

Lecture 6: Integration Tests

Lecture 7: API / Contract Tests

Lecture 8: UI Tests

Lecture 9: Practical Example Test Pyramid – Java

Lecture 10: Branching – Introduction

Lecture 11: Demo – Git – VS Code – GitHub – Branching – Merges – Pull Requests

Lecture 12: Branching – Important Metrics for Branches

Lecture 13: Branching – Strategies and tips

Chapter 5: DevOps for Quality Engineers

Lecture 1: Chapter Intro

Lecture 2: Devops introduction

Lecture 3: Continuous Integration Concept

Lecture 4: [Demo – Github] Practical Example – Blocking for poor coding practices

Lecture 5: [Demo – Github] – Blocking for Failing Tests

Lecture 6: [Demo – Github] – Blocking for Code Coverage

Lecture 7: [Demo – Github] – Blocking for Vulnerabilities

Lecture 8: Practical Example – Validation Build

Lecture 9: Continuous Deployment Pipe

Lecture 10: [Demo – Github] – Continuous Deployment with automated Tests

Lecture 11: The Nightly Build Pipe

Lecture 12: [Demo – Github] – The nightly run Pipeline

Lecture 13: QE/QA Pipeline Design Advice

Lecture 14: Design a Practical Automated Testing Pipeline

Lecture 15: Automated Test Types

Lecture 16: Cost and Speed Comparison API vs UI Automated Tests

Lecture 17: Case Study – API and UI Test Automation Approach

Lecture 18: Test Automation Framework Design

Chapter 6: Modern Approach to Testing Environments

Lecture 1: Chapter Intro

Lecture 2: Feature Environment

Lecture 3: [Demo – Github] – Creating a feature Environment

Lecture 4: Environments – On Demand

Lecture 5: Environments – On Demand – How to make it work

Lecture 6: Automated Environment Validation

Lecture 7: GitOPS – Safe changes to Configuration

Lecture 8: Infrastructure Tests – Scalability / HA

Chapter 7: Shifting Left on Performance – A preventive approach

Lecture 1: What is Performance Testing

Lecture 2: What does shift left on performance actually mean

Lecture 3: Shift Left – Integrate Performance Testing into CI/CD

Lecture 4: What is Google Lighthouse

Lecture 5: Integrate Google Lighthouse into the IDE

Lecture 6: Blocking for Bad Performance – Lighthouse

Lecture 7: What is Grafana K6

Lecture 8: Install Grafana K6

Lecture 9: Running the first Tests with K6

Lecture 10: Integrating K6 into Github

Lecture 11: Running Delta Validation Tests

Lecture 12: Demo – Performance Validations at CI Level

Chapter 8: Generative AI – Use Cases for Gen AI that influence speed of testing

Lecture 1: Aid in tooling and framework Assessment

Lecture 2: Generate Cucumber Feature Files

Lecture 3: Generate Cucumber files with project context

Lecture 4: Generate Automated Tests with Chat GPT

Lecture 5: Generate Automated Tests with project context

Lecture 6: Using AI to add jobs in CI/CD pipeline

Lecture 7: Using AI for setting up performance testing pipelines

Lecture 8: Using AI as a way to understand code

Lecture 9: Using AI to calculate Unit Test coverage

Lecture 10: Using AI to investigate unit test efficiency

Chapter 9: Creating Jmeter Automated CI/CD pipe with CHATGPT for Shifting Left

Lecture 1: Selecting Tool with AI

Lecture 2: Create first performance Test Script

Instructors

Dan Andrei Bucureanu
Quality Transformation Consultant

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 4 votes

4 stars: 36 votes

5 stars: 50 votes

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