AI Practitioner Fundamentals for AWS

Artificial intelligence is transforming how we build software, and cloud platforms like AWS provide the essential tools to harness this power. This course guides you through the core principles of artificial intelligence and machine learning, focusing on how to implement them effectively within the AWS environment. You will transition from a beginner to a knowledgeable practitioner capable of discussing and applying AI concepts to solve business problems. The curriculum emphasizes understanding the shared responsibility model for AI and how to leverage pre-built services to accelerate development. What you'll learn: - Understand foundational AI and machine learning terminology and core concepts. - Explore the landscape of AWS AI/ML services and how to select the right tool for specific tasks. - Apply generative AI principles, including large language models and prompt engineering. - Understand modern patterns like Retrieval-Augmented Generation (RAG) for data-driven AI. - Practice identifying real-world use cases for predictive analytics and computer vision. - Learn the basics of responsible AI, ethics, and security within cloud-based machine learning. Starting with fundamental definitions and historical context, the course moves into practical applications and the latest generative technologies available on the platform. You will read through detailed explanations of service architectures and study code examples for common implementation patterns. This course is designed for beginners with no prior AI or machine learning experience who want to understand cloud-based intelligence from the ground up. Start your journey into cloud-based artificial intelligence today.