Gen AI: Beyond the Chatbot
Earned sept. 8, 2025 EDT
Introduction to Responsible AI
Earned juil. 27, 2025 EDT
Generative AI for Business Leaders
Earned juil. 27, 2025 EDT
Google Cloud Generative AI Trailblazer
Earned juil. 1, 2025 EDT
Reliable Google Cloud Infrastructure: Design and Process
Earned mai 27, 2024 EDT
Developing a Google SRE Culture
Earned mai 20, 2024 EDT
Preparing for your Professional Cloud Architect Journey
Earned mai 18, 2024 EDT
Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
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This course is for Google Cloud’s top partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases. Those who complete the training and assessment will receive the Google Cloud Generative AI Trailblazer badge through Skills Boost.
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This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
Gen AI: Beyond the Chatbot
Earned sept. 8, 2025 EDT
Introduction to Responsible AI
Earned juil. 27, 2025 EDT
Generative AI for Business Leaders
Earned juil. 27, 2025 EDT
Google Cloud Generative AI Trailblazer
Earned juil. 1, 2025 EDT
Reliable Google Cloud Infrastructure: Design and Process
Earned mai 27, 2024 EDT
Developing a Google SRE Culture
Earned mai 20, 2024 EDT
Preparing for your Professional Cloud Architect Journey
Earned mai 18, 2024 EDT