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Master AI testing, GenAI, and agentic automation to lead the future of QA
ADVANCED
Learn how AI is transforming test automation. Understand machine learning principles, AI-driven testing strategies, and the ISTQB CT-AI certification framework for testing AI systems.
ADVANCED
Solidify your AI testing knowledge with targeted practice questions. Master the ISTQB CT-AI exam format and pass the certification that proves your expertise in testing AI-driven applications.
ALL LEVELS
Go beyond testing AI to building with AI. Learn how generative AI and AI agents revolutionize test automation. Build intelligent systems that adapt, learn, and automate complex testing scenarios autonomously.
ALL LEVELS
Put theory into practice. Build autonomous test agents that think, decide, and act like intelligent systems. Learn frameworks and patterns for agentic AI that solve real testing problems in production environments.
ADVANCED
Master generative AI concepts and applications for testing. Prepare for ISTQB CT-GenAI certification covering LLMs, prompt engineering, GenAI risks, and how to test generative AI systems effectively.
ADVANCED
Become ISTQB Generative AI certified. Pass 200 practice questions and earn the credential that positions you as a thought leader in GenAI testing and agentic automation. Lead the future of QA.
You've spent years building QA and SDET skills. You know testing deeply. You've automated complex scenarios. You've scaled frameworks across teams. But technology is shifting beneath your feet.
AI is changing everything. Not replacing testing. Transforming it. Companies are asking SDETs to test AI systems. They're asking QA leaders to build with AI. They're asking teams to automate using GenAI and agentic AI.
You see the shift happening but don't know where to start. Your automation skills are still valuable, but they feel incomplete without AI expertise. The roles you see advertised now say "AI QA" or "GenAI SDET" instead of just "QA Engineer".
This roadmap shows you how to stay at the front of the curve.
You don't start from zero. Your QA expertise makes learning AI testing faster. Your SDET background makes understanding agentic AI intuitive. You already know testing deeply. You're just learning new tools and patterns.
The good news? Your existing QA and SDET skills are your foundation. This roadmap builds AI expertise on top of what you already know.
ISTQB just released two new certifications: AI Testing (CT-AI) and Generative AI (CT-GenAI). These aren't theoretical credentials. They're industry standards that prove you understand how to test AI systems and build with generative AI.
Companies are actively looking for ISTQB AI certified professionals right now.
It's still early. Most QA professionals don't have these credentials yet. If you get certified in the next 6 to 12 months, you'll be in the top 5 percent of QA professionals globally. That positions you for premium roles and higher salaries.
But certification alone isn't enough. You also need practical skills in GenAI, agentic AI, and hands-on implementation. This roadmap covers both the theory and the practice.
Each phase builds on the last. You go from understanding AI testing, to being certified, to building with AI, to leading agentic AI projects, to becoming an industry authority.
Start here. You don't need to be an AI researcher. You need to understand how testing changes when you're testing AI systems. Learn machine learning basics, how to evaluate AI outputs, testing strategies for AI, and what ISTQB CT-AI certification covers.
Timeline: 3 to 5 weeks. Most experienced QA professionals find this phase intuitive because it's testing, not coding.
You now understand AI testing concepts. Practice with 200 real exam questions. Master the format, understand the edge cases, and pass the ISTQB CT-AI exam. You're now certified. This matters on your resume and in your market position.
Timeline: 2 to 4 weeks. Practice, take practice tests, review weak areas, pass.
Now you shift from testing AI to building with AI. Learn how large language models work. Understand prompt engineering and when to use GenAI for testing. Most importantly, learn how AI agents can automate testing autonomously. This is where testing meets development.
Timeline: 5 to 7 weeks. This is comprehensive. You're learning to think differently about automation.
Theory becomes practice. Build actual agentic AI systems that test software. Learn frameworks, patterns, and how to deploy autonomous test agents. This is production-grade work. By the end, you can design and build systems that test like intelligent beings, not scripts.
Timeline: 6 to 8 weeks. This is hands-on. You'll build things.
You've used GenAI. Now master it formally. Learn LLM internals, prompt engineering at scale, risks and limitations of GenAI, and how to test generative AI systems. This is the knowledge that passes the ISTQB CT-GenAI exam.
Timeline: 4 to 6 weeks.
Practice 200 questions. Pass the ISTQB CT-GenAI exam. You're now certified in both AI Testing and Generative AI. In your field, you're an authority. This is the credential that companies are desperate to find.
Timeline: 2 to 4 weeks.
By phase 6, you're not just following AI trends. You're leading them. You understand AI. You build with AI. You're certified to test AI at the highest industry standard.
Let's be specific about impact.
The job market for AI QA and GenAI SDETs is insane right now. Salaries are rising 5 to 8 percent every quarter as companies compete for talent.
Most people do all six phases. That's where you become genuinely dangerous in the job market.
This roadmap can't guarantee every job interview succeeds. But it puts you in the top 5 percent of candidates for AI QA roles. Those roles are competitive, but candidates with this skill set and certification rarely stay unemployed.
This roadmap doesn't make you an AI researcher. You're learning AI for QA and testing, not building AI systems from scratch. That's different, but it's exactly what the market needs right now.
This roadmap demands commitment. You'll spend 12 to 15 hours per week for 6 to 8 months. But by the end, you'll have transformed your career and positioned yourself for the next decade of QA.
You can stay where you are and hope your traditional QA skills stay relevant. Or you can step into AI QA now, get certified, build agentic systems, and become the professional that companies are desperate to hire.
Right now is the perfect time. The market is insane. Salaries are rising. Most QA professionals haven't moved into AI yet. If you move now, you'll lead the shift. If you wait, you'll be catching up.