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Master the complete generative AI development lifecycle in this comprehensive 23-hour course designed for beginners. Explore fundamental AI and machine learning concepts before diving into practical implementations of generative AI technologies. Progress through essential topics including prompt engineering, LLM basics, AI-powered assistants, and development tools. Get hands-on experience with workbenches, playgrounds, and model-as-a-service implementations. Learn to prototype AI applications, work with containers, and understand serving mechanisms. Advance to sophisticated concepts like AI delivery platforms, hardware considerations, framework implementation, LLM customization, and size optimization. Conclude with advanced topics covering RAGs (Retrieval Augmented Generation) and AI agents, providing a solid foundation for working with AI in cloud environments.
