Generative AI System Design: A Practical Framework

Designing effective Generative AI systems requires a structured approach to navigate the complexities of models, data, and infrastructure. This course provides a clear, step-by-step framework to guide you through the entire process, enabling you to confidently conceptualize and plan robust Generative AI solutions from scratch. What you'll learn: * Understand the core components and foundational concepts of Generative AI systems * Apply a structured design framework to create scalable and efficient GenAI solutions * Evaluate different Generative AI models and data strategies for specific use cases * Estimate resource requirements and infrastructure considerations for GenAI deployment * Implement basic prompt engineering techniques and retrieval-augmented generation (RAG) patterns * Understand fundamental ethical considerations and responsible AI principles in GenAI design The course begins with foundational concepts, then progressively introduces the design framework, covering each stage from conceptualization and model selection to deployment considerations and responsible AI practices. This course is ideal for beginners, aspiring AI engineers, product managers, and developers who want to understand and apply a systematic approach to designing Generative AI systems. No prior experience with Generative AI or advanced system design is required. Start your journey to building innovative Generative AI solutions today.