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Connect quality work to product discovery, delivery, operations, and risk.
Dieser Kurs enthält 35 praktische Labs — üben Sie in echten Umgebungen.
Haithem Mihoubi
Dozent
Kostenloser Kurs
Sofort einschreiben — alle Lektionen inklusive
Dieser Kurs beinhaltet:
Connect quality work to product discovery, delivery, operations, and risk. 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.
Phase 5 walkthrough: SDLC, Agile, and quality in modern delivery
-67%EmpfohlenGo 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 5: Software Engineering for QA
Kostenloser Kurs
SDLC
STLC
Agile
Scrum
Kanban
DevOps
DevSecOps
CI/CD
Continuous Testing
Shift Left Testing
Shift Right Testing
Release Management
Requirement Analysis
Risk Analysis
Quality Assurance
Quality Control
Verification
Validation
Whole Team Quality
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-67%EmpfohlenGo from first principles to running production NLP systems: tokenization, embeddings, transformers, fine-tuning, RAG, prompt engineering, alignment, evaluation, safety, and enterprise-grade serving.
-67%EmpfohlenGo 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.
EmpfohlenA 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.