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Use Cypress effectively for end-to-end, API, and component quality engineering.
Ce cours comprend 51 labs pratiques — entraînez-vous dans de vrais environnements.
Haithem Mihoubi
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
Use Cypress effectively for end-to-end, API, and component quality engineering. This production-oriented phase combines written instruction, visual models, interactive decisions, and practical work on the shared QA Practice Hub application from manual testing through automation and SDET practices.
Go from the agentic loop to governed, production multi-agent systems: tool use, planning, memory, MCP, agentic RAG, multi-agent orchestration, safety, sandboxing, observability, and enterprise deployment.
Phase 14: Cypress Masterclass
Cours gratuit
Phase 14 walkthrough: Cypress automation tutorial
Cypress Architecture
Installation
Runner
Commands
Assertions
Fixtures
Custom Commands
Plugins
Intercept
Mocking
API Testing
Sessions
Cookies
Storage
Cross Origin
Time Travel
Videos
Screenshots
Dashboard
Component Testing
Parallel Execution
CI/CD
Docker
Cloud Execution
Framework Maintenance
Migration Strategies
Enterprise Framework
Large Banking Project
Cypress Interview Preparation
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Go from first principles to running production NLP systems: tokenization, embeddings, transformers, fine-tuning, RAG, prompt engineering, alignment, evaluation, safety, and enterprise-grade serving.
Go from first principles to running a production ML platform: data versioning, feature stores, CI/CD/CT, Kubernetes serving, monitoring, drift detection, security, cost, LLMOps, and incident response.
En vedetteA 180-hour beginner-to-expert AI engineering program covering software, data, ML, deep learning, vision, NLP, LLMs, RAG, agents, MCP, MLOps, cloud, security, architecture, and AI SaaS.