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Amit Rokade

Date d'abonnement : 2024

Skills Boost Arcade Trivia June 2025 Week 1 Earned juin 18, 2025 EDT
[DEPRECATED] Building Complex End to End Self-Service Experiences in Dialogflow CX Earned déc. 18, 2024 EST
[DEPRECATED] Agent Summarization (Custom) Earned déc. 18, 2024 EST
Gemini in Google Docs Earned déc. 16, 2024 EST
Gemini in Gmail Earned déc. 16, 2024 EST
Introduction to Google Workspace with Gemini Earned déc. 16, 2024 EST
Introduction to Vertex AI Studio Earned déc. 16, 2024 EST
Build Real World AI Applications with Gemini and Imagen Earned déc. 16, 2024 EST
Introduction to Security in the World of AI Earned déc. 14, 2024 EST
Create a Streaming Data Lake on Cloud Storage Earned déc. 14, 2024 EST
The Arcade Certification Zone December 2024 Earned déc. 14, 2024 EST
Responsible AI for Developers: Interpretability & Transparency Earned déc. 11, 2024 EST
Responsible AI for Developers: Fairness & Bias Earned déc. 11, 2024 EST
ML Pipelines on Google Cloud Earned déc. 11, 2024 EST
Implementing Cloud Load Balancing for Compute Engine Earned déc. 11, 2024 EST
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation Earned déc. 10, 2024 EST
Build a Certification Study Guide: PMLE Earned déc. 10, 2024 EST
Build LookML Objects in Looker Earned déc. 10, 2024 EST
Level 3: BigQuery and Firebase Earned déc. 9, 2024 EST
The Arcade Trivia December 2024 Week 4 Earned déc. 9, 2024 EST
The Arcade Trivia December 2024 Week 3 Earned déc. 8, 2024 EST
The Arcade Trivia December 2024 Week 2 Earned déc. 7, 2024 EST
The Arcade Trivia December 2024 Week 1 Earned déc. 7, 2024 EST
Google Security Operations - Deep Dive Earned déc. 6, 2024 EST
Google Security Operations - Fundamentals Earned déc. 6, 2024 EST
Introduction to Generative AI Earned déc. 6, 2024 EST
Introduction to Large Language Models Earned déc. 6, 2024 EST
Introduction to Responsible AI Earned déc. 6, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud Earned déc. 6, 2024 EST
Machine Learning Operations (MLOps) for Generative AI Earned déc. 5, 2024 EST
Create Image Captioning Models Earned déc. 5, 2024 EST
Transformer Models and BERT Model Earned déc. 5, 2024 EST
Encoder-Decoder Architecture Earned déc. 5, 2024 EST
Attention Mechanism Earned déc. 5, 2024 EST
Introduction to Image Generation Earned déc. 5, 2024 EST
[DEPRECATED] Agent Assist Voice and Integrations Earned déc. 4, 2024 EST
Security Practices with Google Security Operations - SIEM Earned déc. 4, 2024 EST
Planetary Scale Earth Observation with Google Earth Engine Earned déc. 4, 2024 EST
Conversational AI and its Engagement Framework Earned déc. 4, 2024 EST
[DEPRECATED] Advanced Performance Measurement Earned nov. 20, 2024 EST
Conversational AI Voice and Chat Integrations Earned nov. 20, 2024 EST
Customer Experience with Google AI Architecture Earned nov. 20, 2024 EST
Conversation Design Fundamentals Earned nov. 20, 2024 EST
Advanced Conversation Design Earned nov. 20, 2024 EST
[DEPRECATED] Webhook fundamentals Earned nov. 20, 2024 EST
[Deprecated] Advanced Webhook Concepts Earned nov. 20, 2024 EST
[DEPRECATED] Basic Performance Measurement Earned nov. 20, 2024 EST
The Arcade Trivia November 2024 Week 2 Earned nov. 18, 2024 EST
The Arcade Base Camp November 2024 Earned nov. 18, 2024 EST
Diwali in The Arcade Earned nov. 13, 2024 EST
The Arcade Trivia November 2024 Week 1 Earned nov. 4, 2024 EST

Hey there! You're invited to game on with Skills Boost Arcade Trivia for June Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the June Trivia Week 1 badge!

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This course will equip you with the tools to develop complex conversational experiences in Dialogflow CX capable of identifying the user intent and routing it to the right self service flow.

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In this course you will learn how Contact Center AI Agent Assist can help distill complex customer interactions into concise and clear summaries.

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Google Workspace with Gemini provides customers with access to generative AI features. This course delves into the capabilities of Gemini in Google Docs using video lessons, hands-on activities and practical examples. You learn how to use Gemini to generate written content based on prompts. You also explore using Gemini to edit text you’ve already written, helping you improve your overall productivity. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Docs to improve your writing.

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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Gmail.

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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

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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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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Vertex AI platform.

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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.

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Earn a skill badge by completing the Create a Streaming Data Lake on Cloud Storage course, where you use Pub/Sub, Dataflow, and Cloud Storage together to create a streaming data lake 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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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!

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This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.

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This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.

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In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. You will learn about pipeline components and pipeline orchestration with TFX. You will also learn how you can automate your pipeline through continuous integration and continuous deployment, and how to manage ML metadata. Then we will change focus to discuss how we can automate and reuse ML pipelines across multiple ML frameworks such as tensorflow, pytorch, scikit learn, and xgboost. You will also learn how to use another tool on Google Cloud, Cloud Composer, to orchestrate your continuous training pipelines. And finally, we will go over how to use MLflow for managing the complete machine learning life cycle.

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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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This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production. Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.

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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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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.

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Start your next Arcade Adventure that will set you on the path to becoming a Professional Cloud Database Engineer. Pick up essential BigQuery and Firebase skills, and earn an exclusive Google Cloud credential along the way!

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Hey there! You're invited to game on with the Arcade Trivia for December Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 4 badge!

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Hey there! You're invited to game on with the Arcade Trivia for December Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 3 badge!

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Hey there! You're invited to game on with the Arcade Trivia for December Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 2 badge!

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Hey there! You're invited to game on with the Arcade Trivia for December Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 1 badge!

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Take the next steps in working with the Chronicle Security Operations Platform. Build on fundamental knowledge to go deeper on cusotmization and tuning.

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This course covers the baseline skills needed for the Google Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.

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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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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 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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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 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 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 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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In this course you will learn how Contact Center AI Agent Assist can enhance the productivity of human agents while interacting with customers through the Voice channel, as well as the options available for integration with other platforms in the CCAI ecosystem.

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Learn the technical aspects you need to know about Chronicle and how it can help you detect and action threats.

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Learn how public sector agencies and academic researchers leverage Google Earth Engine to distill meaningful insights from petabytes of Earth Observation at planetary scale. Google Earth Engine is a fully managed geospatial platform that has enabled research for more than a decade in environmental areas such as forestry, agriculture, water, and sustainability.

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Transform your understanding of customer service with this course on the Customer Engagement Suite (CES) and its powerful generative AI capabilities. You'll start by tracing the journey of contact centers, understanding how they've evolved and where gen AI is propelling them next. Then, you'll gain a deep understanding of the core building blocks within the CES solution, seeing how each component contributes to delivering exceptional customer experiences. The course concludes by exploring the robust business case for CES, along with practical use cases and the various user personas that benefit from this innovative solution.

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In this course, you will learn about advanced methods and tools to monitor the performance of your virtual agents in Dialogflow CX

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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.

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In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions.

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This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences.

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In this course, you will learn the advanced conversational design principles for both the Voice and Caht channels to craft engaging and effective end-to-end experiences that emulate human-like interactions.

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In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.

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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Virtual Agent self-service experiences.

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This course explores the fundamentals of the feedback loop process for Virtual Agent development and introduces the native capabilities within Dialogflow CX that support it

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Hey there! You're invited to game on with the Arcade Trivia for November Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the November Trivia Week 2 badge!

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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!

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This Diwali, learn image classification with AutoML, uncover insights with Looker, bring images to life with the Vision API, and more! Celebrate the festival of lights by earning an exclusive Google Cloud Credential and brighten your cloud skills—no prior experience needed!

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Hey there! You're invited to game on with the Arcade Trivia for November Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the November Trivia Week 1 badge!

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