Introduction to Security in the World of AI
Earned juil. 17, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned juil. 15, 2025 EDT
Gen AI Agents: Transform Your Organization
Earned juil. 15, 2025 EDT
Introduction to Responsible AI
Earned mai 10, 2024 EDT
Transformer Models and BERT Model
Earned mai 15, 2023 EDT
Attention Mechanism
Earned mai 15, 2023 EDT
Introduction to Large Language Models
Earned mai 15, 2023 EDT
Introduction to Generative AI
Earned mai 14, 2023 EDT
Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.
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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools.
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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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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
Introduction to Security in the World of AI
Earned juil. 17, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned juil. 15, 2025 EDT
Gen AI Agents: Transform Your Organization
Earned juil. 15, 2025 EDT
Introduction to Responsible AI
Earned mai 10, 2024 EDT
Transformer Models and BERT Model
Earned mai 15, 2023 EDT
Attention Mechanism
Earned mai 15, 2023 EDT
Introduction to Large Language Models
Earned mai 15, 2023 EDT
Introduction to Generative AI
Earned mai 14, 2023 EDT