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MASTERCLASS

Beyond Test Automation: Harnessing Agentic AI and Multi-Agent workflows

Over the past decade, software testing has rapidly evolved from manual checks to sophisticated automation frameworks. With the rise of Large Language Models (LLMs), a new paradigm – Agentic AI – is emerging, where autonomous agents collaborate, adapt, and self-correct to handle complex workflows. Once limited to research labs, multi-agent systems are now being applied in real-world testing, defect analysis, and data validation. Industry reports highlight that AI-driven automation can accelerate testing cycles by up to 40%, making this an essential skillset for modern testers. This masterclass situates testers at the forefront of this transformation.

Alap will guide participants through the foundations and practical applications of Agentic AI for testing and automation. The masterclass will cover key concepts including LLMs, Model Context Protocols (MCP), and the Microsoft AutoGen Framework. Attendees will learn how to build specialized agents, such as Jira, Playwright, API, and Database agents, and orchestrate them into collaborative multi-agent workflows. Through live demonstrations and hands-on exercises, the masterclass will illustrate how context engineering, human-in-the-loop strategies, and reusable design patterns can be leveraged to create intelligent, scalable, and self-correcting automation.


What you’ll learn


Design and implement multi-agent workflows using the Microsoft AutoGen Framework.


Understand the principles of context engineering, Model Context Protocols (MCP), and agent collaboration strategies.


Session details

Track 3

15:15h - 16:55h · May 28th

90 min masterclass + 5 min Q&A

AI Test Automation

General Level

Masterclass in English

alap_patel

Alap Patel

Alap Patel is a skilled software testing professional with expertise in UI and API automation, as well as various non-functional testing domains. He has worked across diverse industries, consistently driving quality and efficiency. Alap leverages AI-based autogen tools and MCP server integrations to streamline testing workflows and reduce manual effort. Passionate about testing, he enjoys solving complex problems and enhancing user experiences through smart automation. In his current role, he collaborates closely with development teams to deliver reliable, high-performing software solutions.