In this video, Sanjay Vyas emphasizes the crucial starting point for success – Building Strong Fundamentals! 🚀🤖 Whether you're a beginner or looking to enhance your skills, understanding the basics is key. 💡 Key Takeaways: 🔍 Navigating the AI Landscape: Understand the significance of mastering programming fundamentals before delving into frameworks and AI Tools like ChatGPT. Learn why foundational knowledge sets the stage for effective utilization and problem-solving in the long run.

In this insightful video, Rahul Verma addresses a crucial question: Are social media platforms like LinkedIn essential for software testers? Rahul explores the significance of leveraging social media in the software testing profession, highlighting the potential risks and benefits for those who actively engage on platforms like LinkedIn.

With Visual testing you can now add AI powered visual checks to your tests.

In this comprehensive session, Manish Saini delves into the world of Full Stack Testing, offering valuable insights into the skills, benefits, challenges, and best practices associated with this holistic testing approach. Discover the key skills required to excel in full-stack testing, understand the myriad benefits it brings to the development lifecycle, and explore the challenges commonly encountered in this dynamic domain.

What exactly is a test automation framework? How do you use it? What are its benefits? And can you liken it to Lego building blocks? These are some of the questions that our host Jason Baum dives deep into in this episode, with panelists Nikolay Advolodkin and Marcus Merrell joining in on the discussion.

Automating functional tests helps verify application behaviour from a user’s perspective. However, given the complexity of modern-day functional tests, automating them using scripts adds a massive layer of ambiguity, creates enormous technological overhead and makes it difficult to maintain and scale tests across platforms. In this session, we discuss how to automate functional tests without writing ambiguous frameworks.