Applied AI Development with Git and AWS RDS

Bridging the gap between a simple AI script and a professional application requires a deep understanding of the tools that power modern software. This course focuses on the practical intersection of artificial intelligence, version control, and cloud data management to prepare you for real-world development challenges. You will gain the confidence to structure code effectively and handle data at scale using industry-standard workflows. By the end of this course, you will understand how to integrate AI logic into a robust software ecosystem, ensuring your projects are scalable, maintainable, and secure. You will transition from writing isolated code to developing integrated systems that leverage the power of the cloud. What you'll learn: - Understand core AI implementation patterns and essential development terminology - Master Git version control to manage code changes and collaborate on complex projects - Configure AWS RDS to store and retrieve application data in a secure cloud environment - Apply professional coding standards to ensure application stability and performance - Practice connecting AI models with relational databases for persistent data storage - Learn modern deployment workflows that bridge the gap between local code and the cloud The course begins with foundational definitions and the logic behind modern software architecture before moving into the practical application of Git and AWS RDS in an AI context. It is designed for beginners who want to learn the actual mechanics of professional development without any prior prerequisites. Begin your journey toward mastering the tools that drive today's technology landscape.