Software System Design and Engineering with AI Tools

Modern software development is evolving rapidly as artificial intelligence changes how we plan and build complex systems. Transitioning from manual coding to AI-assisted engineering allows you to focus on high-level logic and robust architecture while accelerating the development lifecycle. This course guides you through the process of using AI as a collaborative partner in the software engineering process. You will move from understanding basic system components to designing API-driven applications and optimized database schemas through structured written instruction and practical examples. What you'll learn: - Understand foundational system design principles and core architectural patterns - Use AI prompts to translate natural language requirements into technical software specifications - Apply established design patterns to optimize code structure and improve maintainability - Design and configure efficient database schemas and data models using AI assistance - Integrate external APIs and manage data flow within a modern application framework - Implement prompt engineering techniques specifically tailored for software engineering tasks - Explore modern concepts including vector database fundamentals and retrieval-augmented generation (RAG) patterns The curriculum starts with essential terminology and design concepts before moving into practical scenarios where you apply AI to solve architectural challenges and refine code. You will read through detailed explanations and analyze code snippets to see how AI-driven workflows function in real-world settings. This course is designed for beginners and aspiring developers who want to integrate AI into their professional workflow; no prior experience with system design or high-level software engineering is required. Start building smarter software systems by mastering AI-assisted design today.