Google Cloud Generative AI Leader Training 2025

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Embark on a transformative journey with the Google Cloud Generative AI Leader Training, designed to equip you with the essential skills and knowledge to become a certified Generative AI leader. Through engaging lessons, you will understand the fundamental concepts of Generative AI, including the core technologies such as AI, machine learning, and natural language processing (NLP). The course will provide a comprehensive view of how these technologies are applied in real-world scenarios, particularly in Google Cloud’s ecosystem. You will also dive into critical aspects such as prompt engineering, model performance, and data management, with a focus on practical applications. As you progress, the course guides you through the Google Cloud tools and platforms specifically tailored for generative AI. From TPUs to enterprise-ready AI strategies, you will explore scalable AI solutions designed for businesses of all sizes. You will also be introduced to Google's unique AI technologies, including Gemini, Gemma, and Vertex AI. The course is structured to help you master everything from the AI lifecycle to deployment strategies, ensuring you are well-prepared to work with AI at the enterprise level. This course is ideal for those aiming to work with Google Cloud’s generative AI tools or seeking to build expertise in AI governance, security, and scalability. It's designed for learners interested in AI, cloud computing, and enterprise innovation. A background in technology or business is recommended, but there are no strict prerequisites. The course is suitable for intermediate learners seeking to enhance their expertise in the rapidly evolving field of AI. By the end of the course, you will be able to define key generative AI concepts, apply machine learning techniques to real-world problems, leverage Google Cloud tools to scale AI solutions, and integrate responsible AI practices in enterprise environments.