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Володимир Ігнатьєв

Member since 2024

Arcade Snowdown Earned ديسمبر 24, 2024 EST
The Arcade Base Camp December 2024 Earned ديسمبر 22, 2024 EST
Advanced Conversation Design Earned ديسمبر 3, 2024 EST
Conversation Design Fundamentals Earned ديسمبر 2, 2024 EST
Implement Enterprise Design Patterns with CX Agent Studio Earned ديسمبر 1, 2024 EST
Conversational AI Voice and Chat Integrations Earned نوفمبر 29, 2024 EST
[DEPRECATED] Advanced Performance Measurement Earned نوفمبر 26, 2024 EST
[DEPRECATED] Basic Performance Measurement Earned نوفمبر 23, 2024 EST
[Deprecated] Advanced Webhook Concepts Earned نوفمبر 20, 2024 EST
[DEPRECATED] Webhook fundamentals Earned نوفمبر 19, 2024 EST
The Arcade Trivia November 2024 Week 2 Earned نوفمبر 14, 2024 EST
The Arcade Trivia November 2024 Week 1 Earned نوفمبر 13, 2024 EST
Diwali in The Arcade Earned نوفمبر 12, 2024 EST
The Arcade Base Camp November 2024 Earned نوفمبر 11, 2024 EST
Implement Cloud Collaboration and Productivity Workflows Earned أكتوبر 31, 2024 EDT
Create a Streaming Data Lake on Cloud Storage Earned أكتوبر 30, 2024 EDT
Share Data Using Google Data Cloud Earned أكتوبر 30, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML Earned أكتوبر 29, 2024 EDT
Create ML Models with BigQuery ML Earned أكتوبر 28, 2024 EDT
Automate Data Capture at Scale with Document AI Earned أكتوبر 27, 2024 EDT
Prepare Data for ML APIs on Google Cloud Earned أكتوبر 18, 2024 EDT
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals Earned أكتوبر 17, 2024 EDT
Set Up an App Dev Environment on Google Cloud Earned أكتوبر 8, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure Earned سبتمبر 24, 2024 EDT
Implementing Cloud Load Balancing for Compute Engine Earned سبتمبر 20, 2024 EDT
[Deprecated] Classify Images with TensorFlow on Google Cloud Earned مارس 31, 2024 EDT
Prompt Design in Agent Platform Earned مارس 28, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud Earned مارس 15, 2024 EDT
Generative AI Fundamentals Earned مارس 3, 2024 EST
[DEPRECATED]Introduction to Responsible AI Earned مارس 3, 2024 EST
Introduction to Large Language Models Earned مارس 2, 2024 EST
Introduction to Generative AI Earned فبراير 25, 2024 EST

Tis snowing challenges heavily in the Arcade! Join the Arcade Snowdown Challenge and earn your latest Google Cloud credential! Take on hands-on labs like Traffic Blocklisting, Redacting Sensitive Data, and Cloud Logging & Monitoring. Secure your cloud with Audit Logs, Alerts, and Service Monitoring. Don’t let the snow slow you down—protect your cloud and boost your skills today!

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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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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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This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences. Explore other content in the Gemini Agent Ready (GEAR) program.

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This course explores using enterprise design patterns to build scalable, reliable, and secure agents within CX Agent Studio. Additionally, it covers navigating the complete development lifecycle by deploying multi-layered application security and locking down cloud infrastructure perimeters. It details the core pillars of multi-turn session persistence and real-time audio supervision to facilitate safe, continuous conversational experiences.

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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 about advanced methods and tools to monitor the performance of your virtual agents in Dialogflow CX

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

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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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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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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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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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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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Earn an introductory skill badge by completing the Implement Cloud Collaboration and Productivity Workflows course, where you will get introduced to Google's collaborative platform and learn to use Gmail, Calendar, Meet, Drive, Sheets, and AppSheet.

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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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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.

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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 intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.

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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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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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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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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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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 the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.

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Complete the introductory Prompt Design in Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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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 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 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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