Set Up an App Dev Environment on Google Cloud
Earned nov. 19, 2024 EST
Implementing Cloud Load Balancing for Compute Engine
Earned nov. 17, 2024 EST
Google Cloud Fundamentals: Core Infrastructure
Earned nov. 9, 2024 EST
Preparing for Your Associate Cloud Engineer Journey
Earned nov. 4, 2024 EST
Introduction to Responsible AI
Earned oct. 25, 2024 EDT
Introduction to Large Language Models
Earned oct. 25, 2024 EDT
Introduction to Generative AI
Earned mai 31, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 13, 2024 EDT
Level 3: GenAIus Registries
Earned mai 12, 2024 EDT
Prompt Design in Vertex AI
Earned mai 12, 2024 EDT
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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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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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 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.
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Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run.
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Today, developers need all the tools to shine. Artifact Registry is your one-stop shop for storing and managing your code. Learn how to start building your dream code and earn a Google Cloud Credential along the way!- No prior experience needed!
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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
Set Up an App Dev Environment on Google Cloud
Earned nov. 19, 2024 EST
Implementing Cloud Load Balancing for Compute Engine
Earned nov. 17, 2024 EST
Google Cloud Fundamentals: Core Infrastructure
Earned nov. 9, 2024 EST
Preparing for Your Associate Cloud Engineer Journey
Earned nov. 4, 2024 EST
Introduction to Responsible AI
Earned oct. 25, 2024 EDT
Introduction to Large Language Models
Earned oct. 25, 2024 EDT
Introduction to Generative AI
Earned mai 31, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 13, 2024 EDT
Level 3: GenAIus Registries
Earned mai 12, 2024 EDT
Prompt Design in Vertex AI
Earned mai 12, 2024 EDT