Prakhar Chandra
Date d'abonnement : 2024
Ligue de Diamant
44715 points
Advanced Conversation Design
Earned nov. 21, 2024 EST
Conversation Design Fundamentals
Earned nov. 21, 2024 EST
Implement Enterprise Design Patterns with CX Agent Studio
Earned nov. 21, 2024 EST
Conversational AI Voice and Chat Integrations
Earned nov. 20, 2024 EST
[DEPRECATED] Advanced Performance Measurement
Earned nov. 20, 2024 EST
[DEPRECATED] Basic Performance Measurement
Earned nov. 20, 2024 EST
Build Real World AI Applications with Gemini and Imagen
Earned nov. 20, 2024 EST
[Deprecated] Advanced Webhook Concepts
Earned nov. 20, 2024 EST
[DEPRECATED] Webhook fundamentals
Earned nov. 20, 2024 EST
Develop Serverless Apps with Firebase
Earned nov. 20, 2024 EST
Store, Process, and Manage Data on Google Cloud - Command Line
Earned nov. 19, 2024 EST
Build a Certification Study Guide: PMLE
Earned nov. 5, 2024 EST
Responsible AI for Developers: Fairness & Bias
Earned nov. 5, 2024 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned nov. 3, 2024 EST
Responsible AI for Developers: Interpretability & Transparency
Earned nov. 3, 2024 EST
Responsible AI for Developers: Privacy & Safety
Earned nov. 3, 2024 EST
Vector Search and Embeddings
Earned nov. 2, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned nov. 2, 2024 EDT
Introduction to Vertex AI Studio
Earned nov. 2, 2024 EDT
Create Image Captioning Models
Earned nov. 2, 2024 EDT
Transformer Models and BERT Model
Earned nov. 2, 2024 EDT
Encoder-Decoder Architecture
Earned nov. 2, 2024 EDT
Attention Mechanism
Earned nov. 2, 2024 EDT
Introduction to Image Generation
Earned nov. 2, 2024 EDT
Manage Kubernetes in Google Cloud
Earned nov. 2, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned nov. 2, 2024 EDT
The Arcade Trivia November 2024 Week 2
Earned nov. 2, 2024 EDT
The Arcade Trivia November 2024 Week 1
Earned nov. 1, 2024 EDT
Diwali in The Arcade
Earned nov. 1, 2024 EDT
Introduction to Generative AI
Earned oct. 12, 2024 EDT
Level 3: Google Cloud Adventures
Earned oct. 12, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned oct. 12, 2024 EDT
Implement Event-Driven Messaging and Automation Workflows
Earned oct. 11, 2024 EDT
Prompt Design in Agent Platform
Earned oct. 11, 2024 EDT
Analyze Images with the Cloud Vision API
Earned oct. 10, 2024 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned oct. 10, 2024 EDT
Monitoring in Google Cloud
Earned oct. 9, 2024 EDT
Implement Speech and Language Solutions with Pre-trained APIs
Earned oct. 9, 2024 EDT
Deploy and Manage Applications on Google App Engine
Earned oct. 8, 2024 EDT
Build Serverless Applications with Cloud Run Functions
Earned oct. 8, 2024 EDT
Implement Cloud Collaboration and Productivity Workflows
Earned oct. 7, 2024 EDT
Organize and Govern Data with Knowledge Catalog
Earned oct. 6, 2024 EDT
[Deprecated] Get Started with Looker
Earned oct. 5, 2024 EDT
Deploy and Secure Serverless APIs with API Gateway
Earned oct. 5, 2024 EDT
Implement Cloud Storage and Data Protection Solutions
Earned oct. 4, 2024 EDT
The Basics of Google Cloud Compute
Earned oct. 3, 2024 EDT
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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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 Google Cloud Agent Platform. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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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Complete the intermediate Develop Serverless Apps with Firebase skill badge course to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications.
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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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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.
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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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Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge course to demonstrate skills in the following: using multimodal prompts to extract information from text and visual data, generating a video description, and retrieving extra information beyond the video using multimodality with Gemini; building metadata of documents containing text and images, getting all relevant text chunks, and printing citations by using Multimodal Retrieval Augmented Generation (RAG) with Gemini. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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 important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
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Explore AI-powered search technologies, tools, and applications in this course. Learn semantic search utilizing vector embeddings, hybrid search combining semantic and keyword approaches, and retrieval-augmented generation (RAG) minimizing AI hallucinations as a grounded AI agent. Gain practical experience with Vertex AI Vector Search to build your intelligent search engine. Explore other content in the Gemini Agent Ready (GEAR) program.
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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 Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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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 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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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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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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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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Your next Google Cloud Credential is within reach! Complete a series of hands-on labs (adventures!) that will help you build key Google Cloud Skills. You’ll cover topics like Compute, Storage, Networking, IAM, Kubernetes, BigQuery, and more, working through real-world scenarios to boost your understanding. No prior experience required!
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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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Earn a skill badge by completing the Implement Event-Driven Messaging and Automation Workflows skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.
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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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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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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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Complete the introductory Monitoring in Google Cloud skill badge course to demonstrate skills in the following: using Cloud Monitoring tools to monitor resources on Google Cloud.
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Earn the Introductory Skill Badge by completing the Implement Speech and Language Solutions with Pre-trained APIs course, where you learn how to use speech related API tools to synthesise and transcribe speech.
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Earn a Skill Badge by completing the Deploy and Manage Applications on Google App Engine course, where you learn how to use App Engine with Python, Go, and PHP.
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Earn a Introductory skill badge by completing the Build Serverless Applications with Cloud Run Functions 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 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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Complete the introductory Organize and Govern Data with Knowledge Catalog skill badge to demonstrate skills in the following: creating Knowledge Catalog assets, creating aspect types, and applying aspects to entries in Knowledge Catalog.
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Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.
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Earn a skill badge by completing the Deploy and Secure Serverless APIs with API Gateway skill badge course, where you learn how to use API Gateway to deploy, secure, and manage APIs with a fully managed gateway.
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Earn a Skill Badge by completing the Implement Cloud Storage and Data Protection Solutions course. Learn to create a Cloud Storage bucket, use the command line, and protect objects with Bucket Lock.
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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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