Foundations of AI and Machine Learning on Cloud

Unlock the potential of artificial intelligence and machine learning without needing a data science background. This course provides a clear, foundational understanding of how these powerful technologies work and how they are deployed in real-world cloud environments. By the end of this course, you will grasp essential AI and ML concepts, understand their practical applications, and be equipped to explore further advanced topics with confidence, leveraging the scalability of cloud platforms. What you'll learn: Understand fundamental AI and machine learning concepts and terminology. Explore the typical lifecycle of a machine learning project from data preparation to deployment. Learn about common AI services and pre-trained models available on cloud platforms. Apply basic principles of prompt engineering for interacting with large language models. Configure and manage essential cloud resources for AI and ML workloads. Practice interpreting model outputs and evaluating basic performance metrics. This course begins with core definitions and theoretical underpinnings of AI and ML, then progresses to practical explanations of cloud-based services and how to leverage them. You will read through conceptual explanations, explore common use cases, and apply your understanding through written exercises. This course is designed for absolute beginners with no prior experience in artificial intelligence, machine learning, or cloud computing. No prerequisites are required. Begin your journey into the exciting world of AI and Machine Learning today.