About course
A 6-week course provides everything you need to deepen your understanding of AI-based systems and learn effective strategies for testing them. It includes live Q&A sessions, workshops, discussions, and continuous support throughout the program. This is an excellent option if you value direct interaction while following a structured certification plan. Additionally, the course offers hands-on practical exercises for building and testing different ML models and exploring ways to integrate AI-enabled technology into your business.
Who is this for
Professionals aiming to pass the ISTQB® CT-AI exam and implement AI solutions in projects.
With this course you will:
- Gain a solid foundation in the fundamentals of AI and ML;
- Explore various real-world tasks where AI is currently making an impact;
- Learn essential techniques for building, training, and testing different AI models, as well as ways to introduce AI-enabled optimisation in software testing tasks.
Learn more about Guided plan Guided Plan
Features of the Autonomous plan
Access to 250+ test questions
6 Q&A sessions with accredited experts*
6 hands-on Python workshops to apply AI concepts*
12 homework assignments, with step-by-step guidance and experts feedback
Personalised support to master key skills
*15+ hours in total
Next intake start
3 February
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ISTQB CT-AI Certification Prerequisites
This course has the same prerequisites as the Autonomous plan. While basic coding knowledge is helpful, it is not mandatory, as you will receive guidance when working with code to build and test ML models. However, please note that this course does not cover coding basics. For those who need to strengthen their coding skills, numerous free resources are available online, including on our website.
Facilitated by our experts, the course guides you in developing in-house AI and ML capabilities. It is complemented by unique workshops and homework tasks where you can apply your knowledge in real-life projects like data processing, building classifiers, choosing performance metrics, and creating a test library using Python.
See more options to study AI Testing with us
Learn essential techniques for building, training, and testing various AI models
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