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Design quality systems for distributed, event-driven, cloud-native products.
This course includes 59 hands-on labs — practice in real environments.
Haithem Mihoubi
Instructor
Free course
Enroll instantly — all lessons included
This course includes:
Design quality systems for distributed, event-driven, cloud-native products. 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 20: Advanced SDET Engineering
Free course
Phase 20 walkthrough: Microservices and distributed systems testing
System Design for QA
Architecture Patterns
Scalability
Enterprise Framework Design
Testability
Service Virtualization
Quality Metrics and KPIs
Microservices Testing
Kafka Testing
Spring Boot Testing
Contract Testing
Observability Testing
OpenTelemetry
Python Scripting for QA
C# Ecosystem Orientation
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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.
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.
RabbitMQ Testing
Redis Validation
Eventual Consistency
Testcontainers
Docker Testing
Cloud Testing
Distributed Tracing
Resilience Testing
Data Contracts
Multi Tenant Testing
Feature Flag Testing
Canary Verification
SRE Error Budgets
Release Risk Modeling
Gherkin and Cucumber
Property Based Testing
Model Based Testing