Dan Andrei Bucureanu

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In the rapidly evolving landscape of software development, 'Accelerated Software Engineering Chat GPT and AI Agents' serves as a definitive guide for modern developers and QA engineers looking to integrate generative AI into their daily workflows. Created by Dan Andrei Bucureanu, this comprehensive course bridges the gap between traditional software engineering and cutting-edge artificial intelligence. Students will explore practical applications of OpenAI's ChatGPT and Google Gemini, learning how to build robust, cloud-based testing frameworks using JMeter and RESTAssured. Beyond basic scripting, the curriculum dives deep into advanced topics such as configuring self-healing code, establishing automated CI/CD pipelines enhanced by AI, and deploying recursive production testing. By working through hands-on examples—including e-commerce recommendation engines and self-service bots—learners will gain the skills necessary to significantly boost engineering efficiency, train custom GPT instances, and implement machine learning models. Whether you are a beginner looking to understand machine learning fundamentals or an experienced quality engineer aiming to revolutionize test automation, this course provides the strategic insights and technical skills needed to stay ahead in an AI-driven tech industry.

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This comprehensive guide to modern software engineering, led by instructor Dan Andrei Bucureanu, offers an invaluable roadmap for developers, product managers, and entrepreneurs looking to take digital products from 0 to 1. In today’s fast-paced tech landscape, building successful software requires more than just writing code; it demands a deep understanding of the entire Software Development Life Cycle (SDLC), financial dynamics, and modern cloud infrastructure. Students will explore how to integrate cutting-edge AI agents and Generative AI tools to automate workflows, accelerate development, and drive tangible business value. The course details essential DevOps practices, including Continuous Integration and Continuous Delivery (CI/CD), blue-green and canary deployments, and feature flagging for seamless A/B testing with zero downtime. By learning how to bridge the gap between production monitoring, user insights, and product discovery, learners will gain the skills needed to build resilient, scalable applications. Whether you want to master agile methodologies, establish robust infrastructure, or leverage artificial intelligence for rapid shipping, this course provides the practical insights required to excel in modern product engineering.

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Designed for modern QA professionals, software engineers, and DevOps specialists, this masterclass by Dan Andrei Bucureanu bridges the gap between traditional quality assurance and cutting-edge artificial intelligence. As the software industry shifts towards continuous delivery, understanding how to apply modern testing principles is critical. This comprehensive program dives deep into Agentic Testing using advanced frameworks like Microsoft AutoGen, Flowise AI, and Playwright MCP, demonstrating how to build autonomous testing agents that accelerate delivery. Students will learn how to integrate Generative AI and ChatGPT to rapidly scaffold Playwright frontend automation frameworks and construct robust performance test pipelines. Beyond AI tools, the course heavily emphasizes structural methodologies. You will master the Shift Left approach, analyze branching strategies, optimize continuous testing pipelines, and utilize the classic Test Pyramid (unit, integration, UI) for peak reliability. By applying Lean principles such as TIMWOODS waste identification and Value Stream Mapping, engineering teams can systematically remove bottlenecks. Whether you are looking to transition into a Quality Engineering role or elevate your automation skills with agentic AI workflows, this course delivers the practical, DevOps-aligned strategies required to thrive in modern agile environments.