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Apply your skills in Google Cloud console

Carlos Ortiz

Member since 2017

Silver League

23310 points
[CEPF L300 Course]: Artificial Intelligence and Machine Learning Earned июля 18, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit Earned мая 25, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI Earned апр. 28, 2024 EDT
Integrating Applications with Gemini 1.0 Pro on Google Cloud Earned марта 31, 2024 EDT
Gemini for end-to-end SDLC Earned февр. 10, 2024 EST
Gemini for DevOps Engineers Earned февр. 10, 2024 EST
Gemini for Security Engineers Earned февр. 9, 2024 EST
Gemini for Network Engineers Earned февр. 8, 2024 EST
Gemini for Data Scientists and Analysts Earned февр. 7, 2024 EST
Gemini for Cloud Architects Earned февр. 5, 2024 EST
Gemini for Application Developers Earned февр. 4, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud Earned окт. 25, 2023 EDT
Introduction to Large Language Models Earned окт. 25, 2023 EDT
Generative AI Fundamentals Earned окт. 23, 2023 EDT
Introduction to Responsible AI Earned окт. 22, 2023 EDT
Introduction to Vertex AI Studio Earned окт. 6, 2023 EDT
Create Image Captioning Models Earned окт. 6, 2023 EDT
Transformer Models and BERT Model Earned окт. 5, 2023 EDT
Attention Mechanism Earned окт. 5, 2023 EDT
Encoder-Decoder Architecture Earned окт. 5, 2023 EDT
Introduction to Image Generation Earned окт. 5, 2023 EDT
Introduction to Generative AI Earned авг. 14, 2023 EDT
DEPRECATED Applied Data: Blockchain Earned авг. 6, 2023 EDT
Generative AI Explorer - Vertex AI Earned мая 20, 2023 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network Earned янв. 17, 2021 EST
Accelerate 2020: Google Cloud Hero... PreGame! Earned янв. 12, 2020 EST
Accelerate 2019: Google Cloud SCORE... PreGame! Earned янв. 26, 2019 EST

This Artificial Intelligence and Machine Learning course consists of a series of advanced-level labs designed to validate your proficiency in using AI and ML to extract, analyze, search, and store structured data from documents and improve customer service. Each lab presents a set of required tasks that you must complete with minimal assistance.You must score 80% or higher for each lab to complete this course, and fulfill your CEPF L300 Artificial Intelligence and Machine Learning requirement. For technical issues with a Challenge Lab, please raise a Buganizer ticket using this CEPF Buganizer template: go/cepfl300labsupport

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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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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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This short course on integrating applications with Gemini 1.0 Pro models on Google Cloud helps you discover the Gemini API and its generative AI models. The course teaches you how to access the Gemini 1.0 Pro and Gemini 1.0 Pro Vision models from code. It lets you test the capabilities of the models with text, image, and video prompts from an app.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC). Duet AI was renamed to Gemini, our next-generation model.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps engineers manage infrastructure. You learn how to prompt Gemini to find and understand application logs, create a GKE cluster, and investigate how to create a build environment. Using a hands-on lab, you experience how Gemini improves the DevOps workflow. Duet AI was renamed to Gemini, our next-generation model.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture. Duet AI was renamed to Gemini, our next-generation model.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps network engineers create, update, and maintain VPC networks. You learn how to prompt Gemini to provide specific guidance for your networking tasks, beyond what you would receive from a search engine. Using a hands-on lab, you experience how Gemini makes it easier for you to work with Google Cloud VPC networks. Duet AI was renamed to Gemini, our next-generation model.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows. Duet AI was renamed to Gemini, our next-generation model.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow. Duet AI was renamed to Gemini, our next-generation model.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow. Duet AI was renamed to Gemini, our next-generation model.

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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.

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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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Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. By passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI. A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.

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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 Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.

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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images

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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 course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.

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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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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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Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this course you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. It brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this course uses advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start.

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The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.

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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.

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If you are a Technical Attendee at Accelerate 2020 Las Vegas (Jan 14-16, 2020), enroll now and complete this Quest. You'll be part of a hands-on labs competition, Google Cloud Hero, where you'll take labs to score points and compete with your colleagues to win prizes. The six labs in this Quest are the prerequisites: you need to complete these before attending, and the points you earn for completing these labs will be part of your event score. In order to maximize your final score and have a chance to be on the leaderboard, you must complete these labs!

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If you are a GCCT Technical Attendee at Accelerate 2019 Las Vegas (Jan 28-31, 2019), enroll now and complete this Quest. You'll be part of an on-site competition, Google Cloud SCORE, where you'll take hands-on labs to score points and compete with your colleagues to win prizes. The five labs in this Quest are the prerequisites: you need to complete these before attending, and the points you earn for completing these labs will be part of your event score. In order to maximize your final score and have a chance to be on the leaderboard, you must complete these labs!

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