Offered online or on-site, these instructor-led live ISTQB (International Software Testing Qualifications Board) courses use interactive, hands-on practice to prepare participants for the ISTQB exam.
ISTQB training is available as 'online live training' or 'onsite live training'. Online live training (also known as 'remote live training') is conducted via an interactive, remote desktop. Onsite live training can be delivered at your customer premises in Gaia or at NobleProg's corporate training centers in Gaia.
NobleProg -- Your Local Training Provider
Holiday Inn Porto - Gaia
220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal
From Porto by Metro
If you're coming from Porto city centre:
Take the Metro Line D (yellow line) toward Vila d’Este.
Get off at João de Deus.
From João de Deus, walk about 13 minutes to: Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.
From Vila Nova de Gaia train station
If by “local train station” you mean Vila Nova de Gaia-Devesas:
The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
You can therefore walk directly rather than taking the metro.
Get ready for the ISTQB CTAL-TM certification with this instructor-led training in Gaia. Acquire advanced test management skills, master risk-based testing, and enhance strategic decision-making through interactive sessions and practical exercises that align perfectly with the official syllabus, specifically designed for test managers and QA professionals.
This instructor-led ISTQB CTAL-TA course in Gaia focuses on advanced test analysis, risk-based design, and quality assurance. Participants will learn to evaluate requirements, manage defects, and apply static testing techniques within Agile and Waterfall contexts to guarantee robust software quality.
This instructor-led, live training in Gaia combines ISTQB CTFL v4.0 fundamentals with modern AI-assisted testing tools. Participants will acquire structured QA knowledge, practical automation skills, and hands-on experience with AI-driven test case generation, self-healing automation, and defect analysis.
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