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Pramod Byri

Member since 2023

Gold League

30510 points
Deploy Kubernetes Applications on Google Cloud Earned ديسمبر 31, 2024 EST
Get Started with Cloud Storage Earned ديسمبر 30, 2024 EST
Cloud Run Functions: 3 Ways Earned ديسمبر 30, 2024 EST
Analyze Images with the Cloud Vision API Earned ديسمبر 30, 2024 EST
Visualize Your Data in Looker Earned ديسمبر 30, 2024 EST
Cloud Speech API: 3 Ways Earned ديسمبر 30, 2024 EST
Build Infrastructure with Terraform on Google Cloud Earned ديسمبر 30, 2024 EST
App Engine: 3 Ways Earned ديسمبر 27, 2024 EST
Secure BigLake Data Earned ديسمبر 27, 2024 EST
Get Started with Sensitive Data Protection Earned ديسمبر 27, 2024 EST
Monitor and Manage Google Cloud Resources Earned ديسمبر 27, 2024 EST
Get Started with Eventarc Earned ديسمبر 26, 2024 EST
Get Started with Dataplex Earned ديسمبر 26, 2024 EST
Implement Cloud Security Fundamentals on Google Cloud Earned ديسمبر 26, 2024 EST
DEPRECATED Networking Fundamentals on Google Cloud Earned ديسمبر 25, 2024 EST
Snowflake to BigQuery Migration Earned ديسمبر 25, 2024 EST
Implementing Cloud Load Balancing for Compute Engine Earned ديسمبر 25, 2024 EST
Set Up a Google Cloud Network Earned ديسمبر 24, 2024 EST
Store, Process, and Manage Data on Google Cloud - Console Earned ديسمبر 24, 2024 EST
Use APIs to Work with Cloud Storage Earned ديسمبر 24, 2024 EST
Monitoring in Google Cloud Earned ديسمبر 22, 2024 EST
The Basics of Google Cloud Compute Earned ديسمبر 21, 2024 EST
Introduction to Vertex AI Studio Earned يناير 1, 2024 EST
Create Image Captioning Models Earned يناير 1, 2024 EST
Transformer Models and BERT Model Earned يناير 1, 2024 EST
Encoder-Decoder Architecture Earned يناير 1, 2024 EST
Attention Mechanism Earned ديسمبر 31, 2023 EST
Generative AI Explorer : Vertex AI Earned ديسمبر 31, 2023 EST
Introduction to Image Generation Earned ديسمبر 31, 2023 EST
Responsible AI: Applying AI Principles with Google Cloud Earned ديسمبر 31, 2023 EST
Generative AI Fundamentals Earned ديسمبر 31, 2023 EST
Introduction to Responsible AI Earned ديسمبر 31, 2023 EST
Introduction to Large Language Models Earned ديسمبر 31, 2023 EST
Introduction to Generative AI Earned ديسمبر 31, 2023 EST

Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.

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Earn a skill badge by completing the Get Started with Cloud Storage skill badge course, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket.

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Earn a Introductory skill badge by completing the Cloud Run functions: 3 Ways course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.

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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.

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This skill badge course aims to unlock the power of data visualization and business intelligence reporting with Looker, and gain hands-on experience through labs.

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Earn the Introductory skill badge by completing the Cloud Speech API: 3 Ways course, where you learn how to use speech related API tools to synthesise and transcribe speech.

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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.

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Earn a skill badge by completing the App Engine`:` 3 ways course, where you learn how to use App Engine with Python, Go, and PHP.

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Complete the introductory Secure BigLake Data skill badge course to demonstrate skills with IAM, BigQuery, BigLake, and Data Catalog within Dataplex to create and secure BigLake tables.

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Complete the introductory Get Started with Sensitive Data Protection skill badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.

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This challenge lab tests your skills and knowledge from the labs in the Monitor and Manage Google Cloud Resources quest. You should be familiar with the content of labs before attempting this lab.

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Earn a skill badge by completing the Get Started with Eventarc skill badge course, where you use Eventarc to create event triggers for different resources including Pub/Sub topics and Cloud Storage buckets.

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Complete the introductory Get Started with Dataplex skill badge to demonstrate skills in the following: creating Dataplex assets, creating aspect types, and applying aspects to entries in Dataplex.

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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.

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Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from Snowflake to BigQuery. Sample data will be used during the migration. Learners will complete several labs that focus on the process of transferring schema, data and related processes to corresponding Google Cloud products.There will be one or more challenge labs that will test the learners' understanding of the topics. "This learning path aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from Snowflake to BigQuery.

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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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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.

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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.

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Earn a skill badge by completing the Use APIs to Work with Cloud Storage quest, where you learn how APIs work in Google, and how to use the Cloud Storage API specifically. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Earn the introductory skill badge by completing the Monitoring in Google Cloud course, where you learn how to use Cloud Monitoring tools.

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Earn a skill badge by completing the The Basics of Google Cloud Compute quest, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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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 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 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 content is deprecated. Please see the latest version of the course, here.

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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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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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Earn a skill badge 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 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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