AI Foundations for Cloud Infrastructure

Artificial intelligence is transforming how businesses operate, and modern cloud platforms make these powerful tools accessible to everyone. If you want to understand how AI, machine learning, and deep learning function within scalable cloud architectures, this foundational course is your starting point. You will build a solid theoretical understanding of artificial intelligence, moving from basic data concepts to modern generative models, while learning how cloud infrastructure supports and scales these technologies. What you'll learn: - Understand core AI, machine learning, and deep learning terminology. - Explore how modern cloud infrastructure provisions and scales AI workloads. - Learn the fundamentals of generative AI and basic prompt engineering. - Discover retrieval-augmented generation (RAG) patterns for enterprise data. - Grasp essential MLOps concepts for deploying and maintaining models. - Apply cloud-based AI concepts to solve real-world business challenges. The course begins with foundational definitions and key terminology before moving into practical cloud applications. You will read through structured explanations, architectural concepts, and written exercises that bridge the gap between AI theory and cloud implementation. Designed entirely for beginners, this course requires no prior programming, data science, or cloud experience. Start reading today to build your foundational knowledge of cloud-based AI technologies.