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Amanda Deskavich

Member since 2025

Gold League

8306 points
Attention Mechanism Earned Jan 15, 2026 EST
Introduction to Image Generation Earned Jan 15, 2026 EST
AI Infrastructure: Cloud GPUs Earned Jan 15, 2026 EST
AI Boost Bites: Your Personal Feedback Agent Earned Jan 15, 2026 EST
Design Foundations for Streaming with Google Cloud Earned Jan 15, 2026 EST
Build a Certification Study Guide: PSOE Exam Prep Earned Jan 15, 2026 EST
Model Armor: Securing AI Deployments Earned Jan 15, 2026 EST
Introduction to Security in the World of AI Earned Jan 15, 2026 EST
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation Earned Jan 15, 2026 EST
Machine Learning Operations (MLOps) for Generative AI Earned Jan 15, 2026 EST

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 course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.

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Curious about the powerful hardware behind AI? This module breaks down performance-optimized AI computers, showing you why they're so important. We'll explore how CPUs, GPUs, and TPUs make AI tasks super fast, what makes each one unique, and how AI software gets the most out of them. By the end, you'll know exactly how to pick the right GPU for your AI projects, helping you make smart choices for your AI workloads.

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This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.

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This course shows learners the benefits of using Google Cloud to stream and broadcast content. The course provides a high-level overview of the infrastructure required for streaming and broadcasting.

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Learn how to use NotebookLM to create a personalized study guide for the Professional Security Operations Engineer certification exam. You'll review NotebookLM features, create a notebook in NotebookLM, and learn how to use a study guide to practice for a certification exam.

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This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI applications.

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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 equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production. Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.

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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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