Step by Step tutorial to understand Protractor using Javascript&Typescript +Framework development(Cucumber,Jasmine)

Advanced Tutorial to Learn essential skills needed to transform your career from QA Engineer to SDET/Test Architect

Automate Desktop Apps, Excel operations, PDF's Data ,Scanned Docs, Web, Files,emails etc using UIPATH -RPA Technology

BRAND NEW COURSE - Become expert level Selenium C# Engineer and learn how to implement Automation framework from Scratch

This Course explains Why/How to write contract tests for Testing Microservices using Pact Testing tool on Live Projects

The Model Context Protocol (MCP) is redefining how Large Language Models interact with real-world systems — allowing AI to go beyond conversations and perform actual tasks.This course, “Build Your Own MCP Server with TypeScript,” is a complete hands-on guide that takes you from the fundamentals of MCP to building and deploying a working server that bridges your backend code with AI models like Claude. You’ll begin by understanding the core architecture of MCP — its four pillars: Tools, Resources, Prompts, and Sampling — and how each allows an AI to securely access databases, APIs, or system functions. Then, you’ll build a complete e-commerce CRUD codebase in Node.js/TypeScript, where products can be added, updated, deleted, and fetched through natural language queries. By the end, you’ll see your LLM perform real database operations just by asking it in plain English.

A complete practical course to make you understand AI Testing with ISTQB exam readiness.Traditional software testing assumes predictable logic and fixed expected outputs. AI systems don’t work that way. They learn from data, evolve over time, behave probabilistically, and often operate as black boxes. This shift breaks many traditional testing assumptions. In this course, you will learn how to test AI-based systems the right way, using globally accepted ISTQB AI Testing (CT-AI) principles, explained clearly and practically for testers. This course starts by building strong foundations. You will first understand what AI really is, how AI-based systems differ from conventional software, and why new testing strategies are required. You’ll then learn machine learning fundamentals — supervised, unsupervised, and reinforcement learning — not as a data scientist, but from a tester’s mindset.

This course focuses on modern performance testing with **K6**, going beyond simple load generation to analyze, validate, and monitor system behavior effectively. You’ll learn how to: * Design realistic load tests for APIs and browsers * Use core K6 features like stages, thresholds, checks, tags, and custom metrics * Build real-world API flows (login, registration, transactions) with dynamic data handling * Write modular, scalable scripts using JavaScript best practices * Perform browser-level testing using K6 Browser + Playwright * Capture Web Vitals like LCP and CLS to validate user experience * Integrate with Grafana Cloud for real-time dashboards and monitoring * Add performance tests into CI/CD pipelines By the end, you’ll be able to build complete, production-ready performance testing frameworks with API testing, browser validation, and observability integrated together.