Applied Gemini: Prompt Engineering and Multimodal AI Workflows

As artificial intelligence evolves, knowing how to collaborate effectively with multimodal AI models is becoming an essential professional skill. Gemini offers powerful capabilities across text, code, and data, but unlocking its full potential requires more than just basic chat commands. This course guides you through the core principles of prompt engineering and multimodal interaction, transforming how you approach daily tasks. You will learn to structure your inputs systematically, analyze diverse data formats, and integrate AI assistance into your professional workflows with confidence and precision. What you'll learn: - Understand the foundational concepts of generative AI and the unique multimodal architecture of Gemini. - Apply advanced prompt engineering techniques, including role-prompting, few-shot learning, and chain-of-thought reasoning. - Analyze and process complex text, structured data, and code formatting within a single workspace. - Design structured outputs such as tables, JSON, and markdown to automate documentation and reporting. - Evaluate AI-generated content for accuracy, addressing issues like hallucination and bias using systematic verification methods. - Build efficient workflows that combine text and data inputs to solve real-world productivity challenges. The curriculum starts with key terminology and fundamental AI concepts before moving into hands-on prompting strategies and multimodal analysis. You will progress through written explanations, practical scenarios, and step-by-step exercises designed to build your practical skills. This text-based course is designed for beginners, professionals, and creators looking to adopt AI tools, with no prior technical background or programming experience required. Start reading today to build a strong foundation in applied AI and elevate your daily productivity.