Building Multimodal Chatbots with Vertex AI and Gemini

Modern artificial intelligence applications increasingly rely on understanding diverse data inputs beyond simple text. Developing conversational interfaces with modern foundation models allows you to build responsive systems that interpret text, images, and structured inputs effectively. This text-based course guides you through the foundational concepts and practical techniques needed to create multimodal chatbots using Vertex AI and Gemini models. What you will learn: Understand fundamental concepts of generative AI, multimodal architecture, and cloud model integration; Configure Vertex AI environments and authentication for API-driven development; Design structured prompts that combine text and visual inputs for accurate model responses; Implement conversational state, history tracking, and context window management; Apply content moderation, safety filters, and grounding techniques for dependable outputs; Build and test functional Python chatbot scripts through guided written walkthroughs. The material begins with core definitions and architectural principles before progressing into hands-on code implementations and best practices. This course is ideal for beginners and software developers looking to integrate modern AI into their workflows without prior cloud AI experience. Start reading today to build your first multimodal conversational application.