Intro to AI Performance Testing

This short free course aims to answer questions related to the impact of AI to performance testing. Questions such as: Why use AI to improve performance testing? Why use performance engineering and testing to improve AI? 
  • Trainer: David Campbell
  • Intermediate
  • 50 minutes learning
  • 8 videos
  • 35 minutes of video
  • 13 pages of Guidance
  • Certificate of Completion

What You Will Be Able to Do

Gain a clear understanding of how AI is starting to impact performance testing and how teams are starting to engage in this space.

The $400 billion gap

Understand the impact to businesses and how AI both accelerates but can also help close the reliability risk.

AI direct impact to Performance Testing

How performance testing and engineering workflows are being impacted by use of AI.

From threat to opportunity!

How to transform the threat to an opportunity and why we should be excited rather than scared.

New ways of working

Where the change in focus will be and what does that mean for our skill set. What will be most valuable in the future?

Real results from real teams

This is happening already now. How different engineers adapted and what ended up being the common thread.

Your next step

By completing this short course we've already started our journey, but what's the next step?

Who this course is for

Ideal participants:
  • Test Automation Engineers responsible for Performance Testing
  • Performance Engineers and Performance Testers
  • Site Reliability Engineers
  • Performance Architects
  • Performance Test Managers
  • Engineers responsible for analysing performance test data
Not for:
  • Engineers without performance testing background
  • Generic AI or prompt engineering audiences
  • Tool specific or vendor centric training

What You Will Get

Certificate of Completion

Implementation Guidelines (13 pages)

  • $400 Billion Reliability Gap
  • AI is Eating Performance Engineering
  • Why That Should Excite You, Not Scare You
  • The New Performance Test Workflow
  • Real Results from Real Teams
  • Your Next Step

Why this Course Stands Out

  • Engineering-Focused

  • Vendor‑neutral
  • Research backed
  • Built for real performance engineering workflows

Understand Business Drivers

Gain a real insight into the impact to businesses and the economy.

Explore Real Workflows

Develop an understanding of how workflows are changing and what we can do to keep up.

Course Lessons

Before you begin

Basic Information About the Course

Informative and conceptual
Learn fundamental concepts, understand how workflows are changing, based in real research and examples.

Pre-requisites
Assumes basic understanding of performance testing and engineering principles. No specific technical skills are required.
Meet the instructor

David Campbell

David is a performance engineering practitioner focusing on complex, performance‑critical systems, including AI‑driven architectures.
His work centres on:
  • system‑level performance thinking
  • AI performance beyond benchmarks
  • bridging experimentation and production reality

His courses and artifacts reflect hands‑on industry experience, not academic theory.
The Story of a Performance Engineering Expert Company

About Loadmagic

Loadmagic specialises in performance engineering and load testing for modern, complex systems.
The perspectives in this guide are grounded in:

  • real production environments
  • performance‑critical architectures
  • system‑level trade‑offs beyond tooling
Write your awesome label here.

Not sure where to start?

FAQ – Frequently Asked Questions

Who is this course for?

Performance engineers, QA leads and test automation engineers who already work with APIs, load testing tools and basic Python.

Do I need prior experience with AI or machine learning?

No machine learning background is required, but you should be comfortable with APIs, scripting and performance testing concepts.

What are the prerequisites?

No technical knowledge is required, although basic concepts of performance testing would be helpful.

How long does the course take to complete?

The full module requires approximately 35 minutes of focused learning.

Is this a video course or hands-on training?

This is a video course primarily, as the concepts are illustrated dynamically, but there is also a readable print version. No hands-on exercises are required.

Can I preview the course before buying?

Not required as the entire course is free.

What will I actually build during the course?

This particular course is not about building yet but rather explains the key trends and concepts related to how AI is shaping performance testing and engineering.

How technical is the course?

This is not a technical, implementation-focused course. It does assume basic engineering experience but can be enjoyed by any skill or experience level.

Are there any additional costs?

No.

Ready to Learn About AI Performance Engineering?

Do You Have Any Questions Before You Get Started?

Learn how we work, check out our frequently asked questions, or feel free to write to us!
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