Introduction to Large Language Models - בעברית
Earned פבר 18, 2025 EST
Build a Certification Study Guide: PMLE
Earned ינו 17, 2025 EST
Introduction to AI and Machine Learning on Google Cloud
Earned ינו 17, 2025 EST
Set Up an App Dev Environment on Google Cloud
Earned דצמ 8, 2024 EST
Implementing Cloud Load Balancing for Compute Engine
Earned דצמ 5, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned נוב 27, 2024 EST
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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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
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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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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
Introduction to Large Language Models - בעברית
Earned פבר 18, 2025 EST
Build a Certification Study Guide: PMLE
Earned ינו 17, 2025 EST
Introduction to AI and Machine Learning on Google Cloud
Earned ינו 17, 2025 EST
Set Up an App Dev Environment on Google Cloud
Earned דצמ 8, 2024 EST
Implementing Cloud Load Balancing for Compute Engine
Earned דצמ 5, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned נוב 27, 2024 EST