Modern Software Engineering | Development - AI Agents
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Unclaimed ProfileThis 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.
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
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- The complete SDLC Lifecycle
- Inception of project
- Financing and the money behind projects
- AI and Generative AI
- 5 examples of using AI to Automate and Gain value
- Infrastructure best practices
- DevOps - Continuous Delivery and Continuous Integration
- Production Monitoring and User Insights
- Closing the loop - from Operations to Product
- Best Practices in Agile
- Rapid deliveries with 0 Down time
- Feature Flagging - A/B Testing
- Deployment - Blue Green and Canary
- Discovery and Refinement for any product
- Modern software engineering and rapid shipping
Best For
- Early-stage entrepreneurs aiming to build and launch MVP products from scratch.
- Software developers looking to transition into high-level product engineering roles.
- Product managers wanting to bridge the gap between technical infrastructure and business value.
- Technologists interested in integrating AI agents and automation into their development workflows.
Not For
- Experienced senior DevOps engineers seeking deep-dive certification in specialized cloud infrastructure.
- Absolute beginners who have never touched a line of code or basic software terminology.
- Academics or researchers looking for purely theoretical computer science or algorithmic design.
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