Masterclass Shift Left: Accelerated Software Testing

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 Fowler's 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