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Unclaimed ProfileIn 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.
About the creator
Dan Andrei Bucureanu
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Dan Andrei Bucureanu is a forward-thinking software engineering educator and technical leader specializing in the intersection of traditional software quality assurance and cutting-edge artificial intelligence. With a career rooted in modern software architecture, quality engineering, and automated testing paradigms, Dan has transitioned his deep practical experience into actionable education for the next generation of developers. His instructional philosophy centers on practical, hands-on application, moving away from dry theoretical lectures to focus on real-world engineering challenges. Dan teaches professionals how to integrate AI tools, specifically LLMs, ChatGPT, and autonomous AI agents, directly into their development and testing workflows. By demonstrating how…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Main Features of Google GEMINI AI
- Main Features of OPENAI CHAT GPT
- Setup CI/CD pipelines with AI
- Generative AI for Quality Engineering
- Create a full performance test framework with Jmeter in the cloud with CHATGPT
- Create a full API Testing test framework with Jmeter and RESTAssured in the cloud with Google BARD
- Setup test tools with Google BARD
- Improve efficiency of working with Google BARD
- Connect to CHAT GPT API
- Train your own instance of GPT
- Gen AI example 1 - Story Enhancement
- Gen AI example 2 - Self Healing Code
- Gen AI example 3 - Production Recursive Testing
- Gen AI example 4 - Self Service Bot
- Gen AI example 5 - Recommendation Engine for E-commerce
- Example of Different models and usage based on ML type
- Understand Machine learning
- Improve Test automation with ChatGPT and Google BARD
- How to use ChatGPT and Google BARD for Quality Engineering
Best For
- Software developers looking to automate daily coding and testing tasks using generative AI.
- QA engineers aiming to modernize their workflows with AI-driven test automation and self-healing frameworks.
- Tech professionals who want to move beyond basic prompting to building custom GPT instances and API integrations.
Not For
- Complete beginners with no prior knowledge of software development or testing fundamentals.
- Data scientists seeking deep theoretical mathematical foundations of machine learning models.
- Engineers looking for a course focused solely on traditional manual software testing practices.
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