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Make quality signals fast, reproducible, observable, and enforceable in delivery pipelines.
Ce cours comprend 41 labs pratiques — entraînez-vous dans de vrais environnements.
Haithem Mihoubi
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
Make quality signals fast, reproducible, observable, and enforceable in delivery pipelines. 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.
-67%En vedetteGo 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 19: CI/CD for QA
Cours gratuit
Phase 19 walkthrough: GitHub Actions and CI/CD pipelines
GitHub Actions
GitLab CI
Jenkins
Azure DevOps Pipelines
Docker
Docker Compose
Kubernetes
Selenium Grid
Selenoid
BrowserStack
Sauce Labs
AWS Testing
Azure Testing
Artifact Management
Secret Management
SonarQube
Quality Gates
Deployment Pipelines
Flaky Test Quarantine
Pipeline Observability
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-67%En vedetteGo from first principles to running production NLP systems: tokenization, embeddings, transformers, fine-tuning, RAG, prompt engineering, alignment, evaluation, safety, and enterprise-grade serving.
-67%En vedetteGo 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.