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Design trustworthy workload models and turn telemetry into capacity decisions.
This course includes 33 hands-on labs — practice in real environments.
Haithem Mihoubi
Instructor
Free course
Enroll instantly — all lessons included
This course includes:
Design trustworthy workload models and turn telemetry into capacity decisions. 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.
Performance Testing walkthrough: Performance testing fundamentals
An LLM agent is a system that can execute tasks given in natural language or structured formats. It uses the planning capabilities of Large Language Models (LLMs) by calling tools that enable interaction with its environment. The agent also includes a memory mechanism. Both the agent's process and outcomes are non-deterministic.
Inspect, reproduce, and isolate failures across browsers, APIs, and distributed systems.
Performance Testing
Free course
Performance Test Strategy
Load Testing
Stress Testing
Spike Testing
Volume Testing
Soak Testing
JMeter
Gatling
Correlation
Parameterization
Assertions
Distributed Testing
Grafana
Prometheus
Performance Reports
Bottleneck Analysis
Enterprise Performance Labs
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