Vertex AI and Gemini Multimodal Prompt Engineering

Working with multimodal foundation models requires a solid grasp of prompt design and practical cloud-based AI tools. This text-based guide teaches you how to construct prompts and configure models like Gemini on Vertex AI to handle text, code, and diverse data inputs. You will gain a structured understanding of generative AI workflows, moving from foundational model mechanics to advanced prompt engineering and modern API integration patterns. What you'll learn: - Understand core generative AI principles, tokenization, and model parameters like temperature and top-p - Construct structured text and multimodal prompts for analysis, summarization, and content generation - Configure and test Gemini models directly within Vertex AI development environments - Apply modern prompt design strategies including few-shot prompting and system role definitions - Implement structured outputs using formats like JSON for seamless application workflows - Integrate safety settings, content filtering, and prompt grounding concepts into your workflows The course begins with fundamental terminology and core concepts before guiding you through hands-on text-based exercises and integration patterns. This training is designed for beginners, developers, and tech enthusiasts looking to build practical generative AI skills without prior experience in machine learning. Start reading today to build robust multimodal prompts and work effectively with generative AI.