Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
Earned אפר 13, 2026 EDT
Introduction to Large Language Models - בעברית
Earned אפר 9, 2026 EDT
Responsible AI for Developers: Privacy & Safety
Earned אפר 9, 2026 EDT
Responsible AI for Developers: Interpretability & Transparency
Earned אפר 9, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned אפר 8, 2026 EDT
Introduction to Generative AI - בעברית
Earned אפר 7, 2026 EDT
In this course, you’ll learn to use the Google Agent Development Kit to build complex, multi-agent systems. You will build agents equipped with tools, and connect them with parent-child relationships and flows to define how they interact. You’ll run your agents locally and deploy them to Vertex AI Agent Engine to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Engine.
Please note these labs are based off a pre-released version of this product. There may be some lag on these labs as we provide maintenance updates.
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זהו קורס מבוא ממוקד שבוחן מהם מודלים גדולים של שפה (LLM), איך משתמשים בהם בתרחישים שונים לדוגמה ואיך אפשר לשפר את הביצועים שלהם באמצעות כוונון של הנחיות. הוא גם כולל הסבר על הכלים של Google שיעזרו לכם לפתח אפליקציות בינה מלאכותית גנרטיבית משלכם.
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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
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This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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זהו קורס מבוא ממוקד שמטרתו להסביר מהי בינה מלאכותית גנרטיבית, איך משתמשים בה ובמה היא שונה משיטות מסורתיות של למידת מכונה. הוא גם כולל הסבר על הכלים של Google שיעזרו לכם לפתח אפליקציות בינה מלאכותית גנרטיבית משלכם.
Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
Earned אפר 13, 2026 EDT
Introduction to Large Language Models - בעברית
Earned אפר 9, 2026 EDT
Responsible AI for Developers: Privacy & Safety
Earned אפר 9, 2026 EDT
Responsible AI for Developers: Interpretability & Transparency
Earned אפר 9, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned אפר 8, 2026 EDT
Introduction to Generative AI - בעברית
Earned אפר 7, 2026 EDT