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Make quality signals fast, reproducible, observable, and enforceable in delivery pipelines.
This course includes 41 hands-on labs — practice in real environments.
Haithem Mihoubi
Instructor
Free course
Enroll instantly — all lessons included
This course includes:
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%FeaturedGo 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
Free course
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%FeaturedGo from first principles to running production NLP systems: tokenization, embeddings, transformers, fine-tuning, RAG, prompt engineering, alignment, evaluation, safety, and enterprise-grade serving.
-67%FeaturedGo 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.
FeaturedA 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.