AWS AI and ML Foundations: Building Intelligent Cloud Solutions

Artificial intelligence and machine learning are transforming how we build software, but you do not need a PhD in data science to leverage their power. Cloud-based AI and ML services allow any developer or cloud professional to integrate sophisticated intelligence directly into their applications. This text-only course guides you through the foundational concepts of cloud-based AI and ML, showing you how to select, configure, and deploy pre-built services and custom models. You will move from understanding basic terminology to designing architectures that utilize computer vision, natural language processing, and generative AI. Throughout this course, you will learn to: 1. Understand fundamental AI, ML, and deep learning concepts, starting with core terminology and cloud deployment paradigms. 2. Explore pre-trained AWS AI services for language processing, computer vision, translation, and speech-to-text. 3. Discover Amazon SageMaker to understand how custom machine learning models are built, trained, and deployed in the cloud. 4. Learn the basics of generative AI and foundation models using Amazon Bedrock for modern application development. 5. Apply best practices for data security, privacy, and cost optimization when running intelligent workloads in the cloud. The course begins with essential definitions and foundational concepts before moving into practical service walkthroughs and architectural patterns. You will read through real-world scenarios and structured text explanations that clarify how to connect these intelligent services together. This course is designed for cloud engineers, developers, and technical professionals who are new to AI and ML. No prior machine learning or data science experience is required, though a basic familiarity with cloud concepts is helpful. Start your journey into cloud-based intelligence and learn how to build modern, AI-driven applications today.