Learn how modern QA professionals can use Generative AI, LLMs, prompt engineering, RAG, AI agents and intelligent testing workflows.
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Software testing is evolving rapidly. Understanding AI can help QA professionals prepare for modern quality engineering workflows.
AI is creating new possibilities for test design, analysis, automation and quality engineering.
Modern QA engineers need to understand how AI can complement existing testing practices.
Learn the fundamentals of AI technologies relevant to software testing and quality engineering.
Understand how AI concepts can connect with your existing software testing knowledge.
Learn the AI concepts and applications that connect directly with software quality engineering.
Understand AI and Generative AI fundamentals and their relevance to QA.
Learn practical prompting techniques for QA analysis and test engineering tasks.
Explore AI use cases across software testing and quality engineering.
Understand the fundamentals and QA applications of LLM technologies.
Understand Retrieval Augmented Generation and its potential applications.
Explore intelligent agents and autonomous testing workflow concepts.
A focused learning session covering the most important AI concepts for modern QA professionals.
Introduction to AI and how it connects with software quality engineering.
Learn prompting approaches for QA-related analysis and engineering tasks.
Explore AI-assisted testing and automation workflows.
Understand the technologies behind modern AI-powered applications.
Understand the next skills to explore for AI-ready QA engineering.
Designed for people who want to understand the intersection of AI and software testing.
Understand how AI can enhance existing quality engineering workflows.
Start building AI knowledge alongside your existing testing foundation.
Explore AI-assisted automation and intelligent testing concepts.
Understand the emerging AI + QA skill landscape from the beginning.
Build knowledge around modern AI-driven QA engineering practices.
Understand quality engineering through modern AI technologies.
A structured 15-day journey covering AI foundations, AI in QA, prompt engineering, LLMs, RAG, AI agents, frameworks and practical projects.
Introduction to AI and Generative AI concepts.
Applications of AI across software testing.
Practical prompting techniques for QA engineers.
Understand large language models and capabilities.
Explore AI support for testing activities.
Understand Retrieval Augmented Generation.
Introduction to intelligent AI agents.
Explore autonomous workflows for QA.
Connect AI concepts with automation workflows.
Explore practical AI testing project scenarios.
Explore advanced AI concepts for quality engineering.
Design intelligent automation approaches.
Explore autonomous testing concepts.
Apply concepts through practical implementation.
Bring the learning together through a capstone.
Understand the role of popular AI and testing technologies in modern quality engineering.
The focus is on connecting AI concepts with software testing and quality engineering workflows instead of learning AI in isolation.
Develop an understanding of the concepts, tools and workflows connecting artificial intelligence with software quality.
Go beyond the introductory session with project-oriented learning and practical AI + QA knowledge.
Build a practical understanding of prompting for QA-related tasks.
Understand important AI-driven testing approaches and workflows.
Connect learning with practical project scenarios and capstone implementation.
Build a clearer understanding of how AI technologies can be applied to modern QA engineering.
Here are answers to common questions about the AI for QA Engineers program.
Join the AI for QA Engineers workshop and start understanding the technologies shaping modern quality engineering.
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