MEHAK RAINA
Date d'abonnement : 2021
Ligue d'Argent
26210 points
Introduction to Vertex AI Studio
Earned juin 13, 2023 EDT
Create Image Captioning Models
Earned juin 13, 2023 EDT
Transformer Models and BERT Model
Earned juin 13, 2023 EDT
Attention Mechanism
Earned juin 13, 2023 EDT
Encoder-Decoder Architecture
Earned juin 13, 2023 EDT
Introduction to Image Generation
Earned juin 13, 2023 EDT
Generative AI Fundamentals
Earned juin 13, 2023 EDT
[DEPRECATED]Introduction to Responsible AI
Earned juin 13, 2023 EDT
Introduction to Large Language Models
Earned juin 13, 2023 EDT
Introduction to Generative AI
Earned juin 13, 2023 EDT
New Year, New Skills: Yellow Challenge (A)
Earned jan. 10, 2023 EST
Learn to Earn Cloud Challenge: Sports Data Analysis Skills
Earned juin 28, 2022 EDT
Learn to Earn Cloud Data Challenge: Data Analyst Skills
Earned juin 28, 2022 EDT
Build a Data Warehouse with BigQuery
Earned juin 27, 2022 EDT
DevOps: A beautiful relationship
Earned fév. 11, 2022 EST
Learn to Earn Cloud Security Challenge: Bonus
Earned jan. 29, 2022 EST
Learn to Earn Cloud Security Challenge: Level 3
Earned jan. 17, 2022 EST
Learn to Earn Cloud Security Challenge: Level 2
Earned jan. 17, 2022 EST
Learn to Earn Cloud Security Challenge: Level 1
Earned jan. 16, 2022 EST
Cloud Engineering
Earned déc. 24, 2021 EST
Baseline: Data, ML, AI
Earned déc. 18, 2021 EST
Baseline: Infrastructure
Earned déc. 18, 2021 EST
Implement DevOps Workflows in Google Cloud
Earned nov. 6, 2021 EDT
Google Cloud Essentials
Earned nov. 5, 2021 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned oct. 10, 2021 EDT
Use Machine Learning APIs on Google Cloud
Earned oct. 10, 2021 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned oct. 9, 2021 EDT
Derive Insights from BigQuery Data
Earned oct. 9, 2021 EDT
Prepare Data for ML APIs on Google Cloud
Earned oct. 9, 2021 EDT
Deploy Kubernetes Applications on Google Cloud
Earned oct. 8, 2021 EDT
Build a Secure Google Cloud Network
Earned oct. 8, 2021 EDT
Set Up a Google Cloud Network
Earned oct. 8, 2021 EDT
Develop Your Google Cloud Network
Earned oct. 7, 2021 EDT
Set Up an App Dev Environment on Google Cloud
Earned oct. 6, 2021 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned oct. 6, 2021 EDT
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 Gemini Enterprise Agent Platform.
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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 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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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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New year, New skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.
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These labs help you get started with the skills you need to analyze sports-related data. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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Welcome to the Learn to Earn Cloud Data Challenge! These labs help you get started with data analysis skills. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.
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The goal of DevOps is to combine software development and IT operations into a holistic set of strategies and practices. Want to learn more about how the relationship works? Join a team and challenge yourself to complete each task as quickly and accurately as possible to score points and earn badges.
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Unlock even more cloud security skills with the bonus level! It’s OK to take a lab more than once to achieve a great score. Complete this game to earn the bonus game badge. Race the clock to increase your score and watch your name rise on the leaderboard!
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These labs will challenge you to explore advanced cloud security scenarios. It’s OK to take a lab more than once to achieve a great score. Complete this game to earn the Level 3 game badge, and you'll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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These labs will give you a deeper understanding of security features in the cloud. These labs are a little more challenging. It’s OK to take a lab more than once to achieve a great score. Complete this game to earn the Level 2 game badge, and you'll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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These labs help you get started with cloud security basics. At the end of each lab, you'll have hands-on experience with securing your cloud. Complete this game to earn the Level 1 game badge, and you'll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Associate Cloud Engineer Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like BigQuery, Cloud Speech API and Video Intelligence. Want extra help? 1-minute videos walk you through key concepts for each lab.
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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this course is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Monitoring and Cloud Functions. You will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating and managing Git repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.
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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.
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Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. 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 quest and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.
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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Data Studio by connecting to BigQuery data.
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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Managed Service for Apache Spark, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
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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 Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
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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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Earn a skill badge by completing the Develop your Google Cloud Network skill badge course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM roles and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches.
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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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