Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.
Introduction to Generative AI
This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.
AI
The "Beginner: Introduction to Generative AI Learning Path," managed by Google Cloud and updated 3 months ago, offers an overview of generative AI concepts, large language models (LLMs), and responsible AI principles. It includes five introductory-level activities: (1) "Introduction to Generative AI" (45 min), covering the basics of generative AI, its applications, and Google tools; (2) "Introduction to Large Language Models" (1 hr), exploring LLMs, their use cases, and prompt tuning; (3) "Introduction to Responsible AI" (30 min), explaining Google's 7 AI principles and the importance of responsible AI; (4) "Prompt Design in Vertex AI" (3 hrs 45 min), focusing on prompt engineering, image analysis, and multimodal techniques using Vertex AI; and (5) "Responsible AI: Applying AI Principles with Google Cloud" (2 hrs), addressing practical implementation of responsible AI in enterprise settings. This path equips learners with foundational skills for leveraging generative AI responsibly.
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