Google Certified Data Integration with Cloud Data Fusion

Streamline your operations and scale your applications with confidence. Learn to design, implement, and manage DevOps solutions on Google Cloud.

With this course, you will discover what MLOps is and how you can apply it in GCP (Google Cloud Platform). For example, you will learn more about Google Cloud’s Vertex AI, Cloud Run, and Cloud Function. This course is aimed at people with Python skills and general ML experience.

This training equips you with the expertise to become a Professional Cloud Security Engineer, empowering you to design, implement, and manage secure and compliant solutions on Google Cloud. Master the skills to secure your Google Cloud infrastructure. Learn to design, implement, and manage robust security solutions for cloud environments.

Dive into the world of Google Cloud Platform Generative AI! This intensive course offers a deep exploration of generative AI in the GCP ecosystem. From algorithms to real-world applications, become a GCP Generative AI master in the blink of an eye!

Become a Professional GCP Security Engineer. Design, develop, and manage secure infrastructures using Google security technologies. With this course, you elevate your expertise by partaking in Google’s Security Engineering track and earn your Professional Cloud Security Engineer certificate.

Unlock the world of cloud-native application development using Google Cloud Run. Delve into the fundamentals, practices, and capabilities of Google’s modern cloud-native application development through theoretical and practical exercises. Design, implement, deploy, secure, manage, and scale new (greenfield) and existing (brownfield) applications using Cloud Run, and leave the training as a master of Google Cloud.

Ready to become a Professional Data Engineer on Google Cloud Platform (GCP)? Design data-processing systems, build end-to-end data pipelines, analyze data, and carry out machine learning, all within four days. Join us for an immersive journey into Google Cloud’s data engineering capabilities. Note that this course is part of Google’s Data Engineering track, leading to the Professional Data Engineer certificate.

This comprehensive, two-day training comprises hands-on labs, design activities, and insightful presentations that will enable you to master the art of designing efficient solutions on Google Cloud. Define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.

Understand the essentials of cloud technology and gain the skills to lead digital transformation confidently and effectively.

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with the Google Cloud Platform (GCP). In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success. Elevate your LLMOps proficiency on GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape. In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success. Elevate your LLMOps proficiency on GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape.

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