Multimodal Prompting with Vertex AI and Gemini Pro

Unlocking the power of modern artificial intelligence requires more than simple text commands. Multimodal models allow you to combine text, image inputs, and structured data to solve complex tasks, extract insights, and automate workflows. In this comprehensive reading-based course, you will develop practical prompt engineering skills using Vertex AI and Gemini Pro. You will start with core generative AI concepts and terminology before exploring practical prompting frameworks, system instructions, and safety parameters. What you'll learn: - Understand foundational generative AI terminology and multimodal architecture basics - Craft structured text and multimodal prompts for Gemini Pro within Vertex AI - Apply advanced prompt engineering techniques, including few-shot examples and chain-of-thought patterns - Configure model parameters such as temperature, top-k, and safety thresholds for predictable outputs - Design prompts for real-world tasks like content analysis, data extraction, and structured output formatting - Integrate modern evaluation practices to test and refine prompt performance The course begins with fundamental concepts and definitions, gradually guiding you through practical prompt designs and multimodal use cases with clear written explanations and examples. This course is designed for beginners, developers, and analysts interested in generative AI. No prior machine learning experience is required. Start reading today to build your multimodal prompt engineering skills.