Masterclass Software Quality Engineering | AI Testing-2024

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: The need to have this material

Lecture 3: Project Used In Course

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

Chapter 2: Project Dependencies – Optional Lecture

Lecture 1: Installing Java

Lecture 2: Installing Maven

Lecture 3: Installing Visual Studio Code

Chapter 3: Misconceptions and Issues with quality engineering today

Lecture 1: Chapter Introduction

Lecture 2: Misconception – N-1 Automation

Lecture 3: Issue – Branching Strategy

Lecture 4: Problem – Bulk Delivery

Lecture 5: Misconception – Ice Cream Cone – Reverse Testing Pyramid

Lecture 6: Misconception – Testing after PR is closed

Lecture 7: Misconception – Siloes in the Project Organization

Lecture 8: Misconception – Testing = Quality Assurance

Lecture 9: Misconception – Environment Approach

Lecture 10: Summary of traps and misconceptions

Lecture 11: Free Performance Material – limited

Chapter 4: A Modern Approach to Quality Engineering

Lecture 1: A better approach to quality

Lecture 2: True Traceability of Functionalities

Lecture 3: Demo Traceability Jira- GitHub

Lecture 4: Modern outlook – Environments

Lecture 5: Modern outlook – Delivery of features

Lecture 6: Trunk Based Development

Lecture 7: Role of the quality engineer

Chapter 5: Shift Left Approach – Preventive Software Development

Lecture 1: Introduction to Shift Left

Lecture 2: Shift Left 6 Minute Testing Challenge

Lecture 3: What is Shift Left approach

Lecture 4: Examples of Shift Left Actions

Lecture 5: Benefits of Shift Left

Lecture 6: Enabler of Shift Left – Automation

Lecture 7: Demo – Automation First Approach

Lecture 8: Enabler of Shift Left – Bottom-Up approach

Lecture 9: Demo – Bottom-up Approach Enabler

Lecture 10: Enabler of Shift Left – Quality Policies

Lecture 11: Demo – Quality Policies – Enabler

Lecture 12: Enabler of Shift Left – Reutilization

Lecture 13: Demo- Reutilization – Enabler

Lecture 14: Enabler of Shift Left – Built in Quality

Lecture 15: Test Driven Development

Lecture 16: Demo – VS Code – Java – Test Driven Development

Lecture 17: Shift Left Cheatsheet

Lecture 18: What is Shift Right

Chapter 6: Understand Test Automation

Lecture 1: The Test Pyramid

Lecture 2: Practical Test Pyramid – Martin Fowler

Lecture 3: Ice-cream Cone Antipattern

Lecture 4: Automated Tests – Unit Tests

Lecture 5: Demo – Unit Tests – VS Code and Java

Lecture 6: Automated Tests -Integration Tests

Lecture 7: Automated Tests -Contract and API Tests

Lecture 8: Demo – Unit Tests – VS Code -RESTAssured and Java

Lecture 9: Automated Tests -UI Tests

Lecture 10: Practical Example of the Test Pyramid – Java

Lecture 11: Case Study – API and UI Test Automation Approach

Lecture 12: Cost and Speed Comparison API vs UI Automated Tests

Lecture 13: Test Automation Framework Design

Chapter 7: Quality Criteria for Continuous Integration / Branching

Lecture 1: Branching – Introduction

Lecture 2: Demo – Git – VS Code – GitHub – Branching – Merges – Pull Requests

Lecture 3: Branching – Important Metrics for Branches

Lecture 4: Branching – Strategies and tips

Lecture 5: Continuous Integration

Lecture 6: Practical Example – Blocking for Bad Code

Lecture 7: Demo – VS Code – Java – Super Linter -Practical example – Blocking failing tests

Lecture 8: Demo – Java – VS Code – JaCoCo- Practical example – Blocking for code coverage

Lecture 9: Demo- Java – OWASP – Practical example – Blocking for vulnerabilities

Lecture 10: Demo – GITHub – Practical example – Getting the build

Chapter 8: Continuous Testing / Delivery and Validations

Lecture 1: Continuous Deployment Pipe

Lecture 2: Environments – Modern Vision

Lecture 3: Environments – On Demand

Lecture 4: Environments – On Demand – Why/Benefits

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

Lecture 6: Practical example – Continuous Deployment with Automated Tests

Lecture 7: Feature Environments

Lecture 8: Practical Example – Feature/onDemand environment

Lecture 9: Nightly Build – Continuous Test Automation Concept

Lecture 10: Practical Example – The Nightly Run

Lecture 11: GitOPS

Lecture 12: Infrastructure Tests – Scalability / DR

Lecture 13: Pipeline Design Advice

Lecture 14: Performance validations

Lecture 15: Practical Example – Performance Validations

Lecture 16: How to approach DevOps for QE

Lecture 17: Design your pipeline

Chapter 9: Test Data for Test Automation – Strategy

Lecture 1: Introduction to Test Data

Lecture 2: Test Data – Use Application

Lecture 3: Test Data – Using Scripts

Lecture 4: Test Data – Using a Shared DB