Generative AI on AWS — Volume 1: From First Principles to Practitioner-Ready Skills

Generative AI on AWS — Volume 1: From First Principles to Practitioner-Ready Skills Explore the fundamentals of Artificial Intelligence, Machine Learning, and Generative AI, and learn how to apply these concepts using Amazon Web Services (AWS). This book is designed for students, aspiring AI practitioners, developers, and technology professionals who want to build a strong foundation in Generative AI and understand how AWS services can support real-world applications. What You'll Learn AI & Machine Learning Fundamentals: Understand AI, ML, deep learning, neural networks, and foundation models. Generative AI & Prompt Engineering: Learn how large language models work and how to write effective prompts. AWS AI Services: Explore Amazon Bedrock, Amazon SageMaker, and other key AWS AI services. Retrieval-Augmented Generation (RAG): Understand how to connect foundation models to external knowledge sources using Amazon Bedrock Knowledge Bases. Hands-on Application Development: Follow a beginner-friendly example of a document question-answering assistant. Evaluation & Responsible AI: Learn about output evaluation, hallucinations, security, governance, and responsible AI practices. Deployment & Cost Awareness: Explore practical considerations for deploying AI applications and planning your continued learning. Who Is This Book For? Beginners exploring Artificial Intelligence and Generative AI. Students preparing for AI-related careers. Developers interested in building applications using AWS. Professionals looking to understand practical Generative AI concepts and services. What's Included? 14 structured chapters progressing from foundational concepts to practical AWS applications. Chapter summaries and knowledge-check quizzes. A practical application walkthrough. A glossary of key technical terms. References to support further learning. Learning Outcome Build a solid conceptual foundation in Generative AI, understand the AWS services commonly used to develop AI-powered applications, and gain a practical starting point for further experimentation and learning. This is an independent educational publication and is not affiliated with or endorsed by Amazon Web Services (AWS). AWS services and features may change; consult official AWS documentation for current information.

• 14 comprehensive chapters on Generative AI and AWS
• Beginner-friendly explanations of AI, ML, and LLMs
• Practical Amazon Bedrock and SageMaker insights