E2E & Multimodal AI Testing

AI end-to-end testing course, Playwright tutorial for engineers, agentic AI testing, LLM visual regression testing, voice bot QA testing, Playwright MCP test agents, multimodal testing AI, test infrastructure CI/CD sharding, automated QA with AI

practitioner

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• Write browser tests with Playwright using locators, assertions, debugging, and cross-browser automation
• Run autonomous QA with AI agents using Playwright MCP and Test Agents
• Catch visual bugs with LLM vision: semantic visual QA, design fidelity, and visual regression
• Test voice and audio: voice bot QA, audio quality analysis, and speech pipeline checks
• Build CI/CD test pipelines with sharding, test observability, and AI-powered orchestration
• Sequence a multimodal QA strategy across text, vision, and audio for agent-built products

• Url: https://aiacademy.anthropos.work/chapters/e2e-ai-testing-intro/ · E2E & Multimodal AI Testing: Start Here · Position: 1 · A 12-minute orientation to the E2E & Multimodal Testing skill path — the four senses QA needs when agents ship multimodal products, and the order to learn them in
• Url: https://aiacademy.anthropos.work/chapters/playwright-essentials/ · Playwright Essentials · Position: 2 · Master browser testing with Playwright — locators, assertions, debugging, and cross-browser automation
• Url: https://aiacademy.anthropos.work/chapters/agentic-testing/ · Agentic AI Testing · Position: 3 · AI agents that browse, click, and test — Playwright MCP, Test Agents, and autonomous QA workflows
• Url: https://aiacademy.anthropos.work/chapters/visual-ai-testing/ · Visual AI Testing · Position: 4 · Screenshots meet LLM vision — semantic visual QA, vibe checks, design fidelity, and intelligent visual regression
• Url: https://aiacademy.anthropos.work/chapters/voice-audio-testing/ · Voice & Audio Testing · Position: 5 · Test what users hear — voice bot QA, audio quality analysis, speech pipeline testing, and multimodal CI
• Url: https://aiacademy.anthropos.work/chapters/test-infrastructure-ai/ · Test Infrastructure at Scale · Position: 6 · CI/CD pipelines, sharding, test observability, and AI-powered orchestration for production-grade testing

• Write browser tests with Playwright using locators, assertions, debugging, and cross-browser automation
• Run autonomous QA with AI agents using Playwright MCP and Test Agents
• Catch visual bugs with LLM vision: semantic visual QA, design fidelity, and visual regression
• Test voice and audio: voice bot QA, audio quality analysis, and speech pipeline checks
• Build CI/CD test pipelines with sharding, test observability, and AI-powered orchestration
• Sequence a multimodal QA strategy across text, vision, and audio for agent-built products

It is built for software engineers and QA engineers at a practitioner level who want to test multimodal products shipped by AI agents. It assumes you already write code and want modern, AI-assisted testing techniques.

Course Mode: online · Course Workload: PT118M · Mode: online