Applied Gemini AI: From Workspace to Vertex AI

Ready to harness the power of generative AI? This course provides a practical, text-based introduction to the Gemini family of models and tools, designed to take you from core concepts to real-world application. You will build a solid foundation in how large language models work and learn to apply them effectively. Through clear explanations and hands-on exercises, you'll discover how to use Gemini to enhance your productivity, automate everyday tasks, and build your first AI-driven applications using Python and cloud-based platforms. What you'll learn: - Understand the core concepts of generative AI, large language models, and the architecture of the Gemini ecosystem. - Practice effective prompt engineering and create multimodal content using the interactive AI Studio environment. - Learn to automate tasks and generate content within common productivity tools like Docs, Sheets, and Gmail. - Build simple AI-powered applications in Python by integrating with the Gemini API through Vertex AI. - Apply Gemini to analyze your own documents and data, learning the fundamentals of retrieval-augmented generation patterns. - Configure a proper development environment for your Python projects that use the Gemini API. The course starts with the essential theory behind generative AI before guiding you through practical exercises in AI Studio, Workspace, and finally, code-based projects with Python and Vertex AI. This course is designed for absolute beginners. No prior experience with artificial intelligence, machine learning, or programming is required to get started. Begin your journey into building with generative AI today.