Resumen del Curso
This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
Quién debería asistir
Professional AI developers, data scientists, and ML engineers who want to build predictive and generative AI projects on Google Cloud.
Certificaciones
Este curso es parte de las siguientes Certificaciones:
Prerrequisitos
Having one or more of the following:
- Basic knowledge of machine learning concepts
- Prior experience with programming languages such as SQL and Python
Objetivos del curso
- Recognize the data-to-AI technologies and tools provided by Google Cloud.
- Build generative AI projects by using Gemini multimodal, efficient prompts, and model tuning.
- Explore various options for developing an AI project on Google Cloud.
- Create an ML model from end-to-end by using Vertex AI.
Inglés
Italiano
Francés
Alemán
Alemania
Suiza
Egipto