Basics of Gemini AI: Models and Prompting Fundamentals

Generative AI is transforming how we work, write, and analyze data, but getting the best results requires understanding the underlying technology. Gemini offers powerful multimodal capabilities that can elevate your productivity once you grasp how the models operate. This text-based course guides you through the foundational concepts of Gemini AI, explaining the differences between model variants and how to structure your inputs for maximum accuracy. By reading through clear explanations and analyzing practical written examples, you will build a strong mental model of how to collaborate with AI effectively. What you will learn: Understand the foundational architecture and distinct capabilities of Gemini models; Compare different model sizes, including Flash, Pro, and Ultra, to choose the right tool for your task; Apply modern prompt engineering patterns to generate high-quality text, code, and analysis; Analyze multimodal inputs by learning how the model processes text and other data types simultaneously; Practice troubleshooting common AI outputs, such as handling hallucinations and refining vague responses. The course starts with essential AI terminology and foundational definitions before moving into practical prompting strategies and scenario-based written exercises. You will progress from basic queries to structured, multi-turn conversations. This course is designed for absolute beginners who want to understand Gemini from the ground up. No prior programming or AI experience is required. Start reading today to unlock the potential of Gemini and improve your daily productivity.