In this video, Mahesh talks about the 3 essential tips for software testers to thrive in their careers! He emphasizes the importance of continuous upskilling, encouraging testers to stay ahead of the curve by giving significant time to their upskilling. He also highlights the importance of staying informed about the industry and the new trends that come. Additionally, Mahesh advocates for testers to join communities, to foster networking, knowledge-sharing, and professional growth.

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.

Join the discussion as Rahul Verma, an experienced consultant, unravels the complexities of testing dynamics! 🤔 From the extreme views of all testing by testers to developers managing it all, find out why the answer lies in the nuanced middle ground. 💡 Key Insights: 🔍 Navigating the Quality: Explore the challenges and benefits of involving both developers and testers in the testing process. Learn how this balanced approach ensures the timely identification of issues and contributes to overall product excellence.

Communication between microservices can be broadly categorized as either point-to-point or publish/subscribe. Point-to-point is often used synchronously, while publish/subscribe tends to be asynchronous. Each of these techniques can have a place in a modern microservices platform, but it is important to understand the role each one plays so that they can be used effectively. CHAPTERS.

This video is a top resource that provides you with the latest job opportunities in the software testing and quality assurance (QA) industry. It allows you to stay up-to-date with the rapidly changing technological landscape by exploring exciting career prospects in both manual and automation testing. Given the high demand for qualified software testers, now is an excellent time to enhance your career prospects.

Dive into the intricacies of navigating the bureaucratic landscape as we unveil the art of dealing with government agencies. Join us on a journey where we share our experiences in building a resilient system that stands the test of time, even in the face of rigid government protocols. 🌐 Building a System for the Ages: Discover the fascinating story behind the creation of a system that was ahead of its time. Gain insights into the architectural decisions that led to a perpetually running system, capable of seamless upgrades and continuous enhancements.

Join Sidharth Shukla in this session as he provides a real-time exploration of APIs from a leading travel company. In this hands-on demonstration, Sidharth walks you through practical examples, showcasing the architecture, functionalities, and integration possibilities of APIs within the travel domain. Whether you're a developer, tester, or someone keen on understanding the intricacies of API usage in the travel industry, this video offers valuable insights and a firsthand look at the dynamics of APIs in a real-world scenario.

How to expand your testing coverage using external data sources in Test Complete.

Learn how Fivetran’s automated data movement platform allows you to quickly set up a relational database connector to the Databricks Lakehouse to move a wine quality dataset over to the lakehouse and ensure that it’s ML-ready. Then you’ll see how to use Databricks and AutoML to run classification experiments on the dataset to generate models for wine quality predictions based on a variety of parameters, including citric acid, ph, residual sugar, and sulphates. An extra bonus is that you don’t have to be a data engineer, ML engineer, or a wine expert to deliver quick value with this tech stack and approach.