Integrate Agent Assist with Telephony and Chatbot Systems
Earned Jul 25, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned Jul 25, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned Jul 23, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Jul 22, 2025 EDT
Virtual FAQ with data store agents
Earned Jul 22, 2025 EDT
Incorporate Generative Features into Conversational Agent flows
Earned Jul 22, 2025 EDT
Stateful Flows
Earned Jul 22, 2025 EDT
Generative Playbooks
Earned Jul 22, 2025 EDT
Introduction to CES and Conversational Agents
Earned Jul 17, 2025 EDT
Gen AI: Beyond the Chatbot
Earned Jun 18, 2025 EDT
Professional Machine Learning Engineer Study Guide
Earned Mei 23, 2025 EDT
Rekayasa Data untuk Pembuatan Model Prediktif dengan BigQuery ML
Earned Mei 23, 2025 EDT
Membuat Model ML dengan BigQuery ML
Earned Mei 23, 2025 EDT
Menyiapkan Data untuk ML API di Google Cloud
Earned Mei 22, 2025 EDT
Membangun dan Men-Deploy Solusi Machine Learning di Vertex AI
Earned Mei 22, 2025 EDT
Production Machine Learning Systems
Earned Mei 22, 2025 EDT
Responsible AI untuk Developer: Privasi & Keamanan
Earned Mei 21, 2025 EDT
Machine Learning Operations (MLOps): Getting Started
Earned Mei 21, 2025 EDT
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned Mei 21, 2025 EDT
Working with Notebooks in Vertex AI
Earned Mei 21, 2025 EDT
Responsible AI untuk Developer: Keadilan & Bias
Earned Mei 21, 2025 EDT
Feature Engineering
Earned Mei 21, 2025 EDT
Responsible AI untuk Developer: Penafsiran & Transparansi
Earned Mei 20, 2025 EDT
Membuat Aplikasi AI Generatif di Google Cloud
Earned Mei 20, 2025 EDT
Pengantar Model Bahasa Besar
Earned Mei 18, 2025 EDT
Machine Learning Operations (MLOps) dengan Vertex AI: Evaluasi Model
Earned Mei 18, 2025 EDT
Pengantar AI Generatif
Earned Mei 18, 2025 EDT
Machine Learning Operations (MLOps) untuk AI Generatif
Earned Mei 18, 2025 EDT
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned Mei 13, 2025 EDT
Pengantar AI dan Machine Learning di Google Cloud
Earned Mar 24, 2025 EDT
NotebookLM is an AI-powered collaborator that helps you do your best thinking. After uploading your documents, NotebookLM becomes an instant expert in those sources so you can read, take notes, and collaborate with it to refine and organize your ideas.
NotebookLM Pro gives you everything already included with NotebookLM, as well as higher utilization limits, access to premium features, and additional sharing options and analytics.
Pelajari lebih lanjut
Complete the Configure AI Applications to optimize search results skill badge to demonstrate your proficiency in configuring search results from AI Applications. You will be tasked with implementing search serving controls to boost and bury results, filter entries from search results and display metadata in your search interface.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Pelajari lebih lanjut
Complete the Extend agent functionality with Webhooks, Tools, and Integrations skill badge to demonstrate your ability to let conversational agents take actions. You will create a flow that calls a webhook and a playbook with a tool and combine them into a hybrid agent. You'll also prepare custom payload for rich content experiences in the Conversational Messenger.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Pelajari lebih lanjut
Complete the Leverage best practices for developing, operating, and securing production-grade Conversational Agents skill badge to demonstrate your ability to implement a variety of best practices around development, deployment, and security. These will include: Using versions and environments, backing up with Git integration, leveraging test cases and CI/CD testing, tracking conversations with conversation history and logging, redacting data, and securing acceess to agent and webhook endpoints.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have develope…
Pelajari lebih lanjut
This course will equip you with the tools to develop complex conversational experiences in Conversational Agents using best practices to create production-ready agents.
Pelajari lebih lanjut
Do you want to keep your users engaged by suggesting content they'll love?
This course equips you with the skills to build a cutting-edge recommendations app using your own data with no prior machine learning knowledge. You learn to leverage AI Applications to build recommendation applications so that audiences can discover more personalized content, like what to watch or read next, with Google-quality results customized using optimization objectives.
Pelajari lebih lanjut
If you've worked with data, you know that some data is more reliable than other data.
In this course, you'll learn a variety of techniques to present the most reliable or useful results to your users. Create serving controls to boost or bury search results. Rank search results to ensure that each query is answered by the most relevant data. If needed, tune your search engine. Learn to measure search results to ensure your search applications deliver the best possible results to each user.
Pelajari lebih lanjut
AI Applications provides built-in analytics for your Vertex AI Search and Google Agentspace apps. Learn what metrics are tracked and how to view them in this course.
Pelajari lebih lanjut
This course explores the fundamentals of the feedback loop process for Conversational Agent development and introduces the native capabilities within Conversational Agents that support it. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational Agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, Virtual Agent, and CCAI Insights.
Pelajari lebih lanjut
Initial deployment of Vertex AI Search and Google Agentspace apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience.
In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Google Agentspace apps.
Pelajari lebih lanjut
Complete the Create and maintain Vertex AI Search data stores skill badge to demonstrate your proficiency in building various types of data stores used in Vertex AI Search applications.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Pelajari lebih lanjut
Data stores represent a simple way to make content available to many types of generative AI applications, including search applications, recommendations engines, Google Agentspace apps, Agent Development Kit agents, and apps built with Google Gen AI or LangChain SDKs. Connect data from many sources include Cloud Storage, Google Drive, chat apps, mail apps, ticketing systems, third-party file storage providers, Salesforce, and many more.
Pelajari lebih lanjut
Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Pelajari lebih lanjut
This course introduces AI Applications. You will learn about the types of apps that you can create using AI Applications, the high-level steps that its data stores automate for you, and what advanced features can be enabled for Search apps.
Pelajari lebih lanjut
In this course, you will learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents. Please note Dialogflow CX was recently renamed to Conversational Agents and this course is in the process of being updated to reflect the new product name for Dialogflow CX.
Pelajari lebih lanjut
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. Please note Dialogflow CX was recently renamed to Conversational Agents and CCAI Insights was renamed to Conversational Insights.
Pelajari lebih lanjut
Complete the Analyze patterns in conversational data with Conversational Insights skill badge to demonstrate your proficiency in analysing customer conversations with Conversational Insights. After completing this challenge, you will be ready to deploy Conversation Insights to improve customer service performance, and create better customer experiences.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Pelajari lebih lanjut
In this course you will learn how to leverage Conversational Insights to uncover hidden information from your contact center data to increase operational efficiency and drive data-driven business decisions. Please note Contact Center AI Insights were recently renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product name for Contact Center AI Insights.
Pelajari lebih lanjut
Complete the Improve customer and agent satisfaction with Agent Assist skill badge to demonstrate your proficiency in configuring basic conversational agents that can escalate actions to human agents, and configuring Agent Assist to help human agents with customer queries. You prove your knowledge in configuring Generators for summarization, classification and recommendation of tickets as well leverage tools such as Generative Knowledge Assist, to provide further context to human agents.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Pelajari lebih lanjut
In this course you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the chat channel.
Pelajari lebih lanjut
In this course you will learn how Conversational AI Agent Assist can help distill complex customer interactions into concise and clear summaries. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
Pelajari lebih lanjut
In this course you will learn how 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 Conversational AI ecosystem.
Pelajari lebih lanjut
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.
Pelajari lebih lanjut
Connect Conversational Agents to external systems and APIs to expand what agents can do, designing an end-to-end system that is resilient, fault-tolerant and secure.
Pelajari lebih lanjut
Complete the Build basic Conversational Agents with Playbooks and Flows skill badge to demonstrate your proficiency in building virtual agents using traditional NLU and generative-based features.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
Pelajari lebih lanjut
In this course, you'll learn to develop generative agents that answer questions using websites, documents, or structured data. You will explore Vertex AI Applications and understand the advantages of data store agents, including their scalability and security.
You'll learn about different data store types and also discover how to connect data stores to agents and add personalization for enhanced responses.
Finally, you'll gain insights into common search configurations and troubleshooting techniques.
Pelajari lebih lanjut
Explore the Generative AI features for Conversational Agents and how to incorporate them into stateful Flows.
Discover the possibilities with Generators, Generative Fallback, and Data Stores, as well as best practices and security settings for using these features.
Pelajari lebih lanjut
Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to use them to create conversational agents.
Pelajari lebih lanjut
Explore Playbooks and their implementation of the ReAct pattern for building Conversational Agents. You will learn how to construct a Playbook, set up goals and instructions to build a chatbot in natural language, and learn to test and deploy your solution.
Pelajari lebih lanjut
This course explores the different products and capabilities of Customer Engagement Suite (CES) and Conversational agents. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.
Pelajari lebih lanjut
Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
Pelajari lebih lanjut
This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
Pelajari lebih lanjut
Selesaikan badge keahlian tingkat menengah Rekayasa Data untuk Pembuatan Model Prediktif dengan BigQuery ML untuk menunjukkan keterampilan Anda dalam hal berikut: membangun pipeline transformasi data ke BigQuery dengan Dataprep by Trifacta; menggunakan Cloud Storage, Dataflow, dan BigQuery untuk membangun alur kerja ekstrak, transformasi, dan pemuatan (ETL); serta membangun model machine learning menggunakan BigQuery ML. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktik yang interaktif. Selesaikan kursus badge keahlian dan challenge lab penilaian akhir untuk menerima badge digital yang dapat Anda bagikan ke jaringan Anda.
Pelajari lebih lanjut
Selesaikan badge keahlian tingkat menengah Membuat Model ML dengan BigQuery ML untuk menunjukkan keterampilan dalam hal berikut: membuat dan mengevaluasi model machine learning dengan BigQuery ML untuk membuat prediksi data. Badge keahlian merupakan badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan kursus badge keahlian ini, dan challenge lab penilaian akhir, untuk menerima badge keahlian yang dapat Anda bagikan ke jaringan Anda.
Pelajari lebih lanjut
Selesaikan badge keahlian pengantar Menyiapkan Data untuk ML API di Google Cloud untuk menunjukkan keterampilan Anda dalam hal berikut: menghapus data dengan Dataprep by Trifacta, menjalankan pipeline data di Dataflow, membuat cluster dan menjalankan tugas Apache Spark di Dataproc, dan memanggil beberapa ML API, termasuk Cloud Natural Language API, Google Cloud Speech-to-Text API, dan Video Intelligence API. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud s ebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan kursus badge keahlian ini dan challenge lab penilaian akhir, untuk menerima badge keahlian yang dapat Anda bagikan dengan jaringan Anda.
Pelajari lebih lanjut
Dapatkan badge keahlian tingkat menengah dengan menyelesaikan kursus Membangun dan Men-Deploy Solusi Machine Learning di Vertex AI, tempat Anda akan belajar cara menggunakan platform Vertex AI Google Cloud, AutoML, dan layanan pelatihan kustom untuk melatih, mengevaluasi, menyesuaikan, menjelaskan, serta men-deploy model machine learning. Kursus badge keahlian ini diperuntukkan bagi Data Scientist dan Engineer Machine Learning profesional. Badge keahlian adalah badge digital eksklusif yang diberikan oleh Google Cloud sebagai pengakuan atas kemahiran Anda dalam menggunakan produk dan layanan Google Cloud serta menguji kemampuan Anda dalam menerapkan pengetahuan di lingkungan praktis yang interaktif. Selesaikan Badge keahlian ini, dan challenge lab penilaian akhir, untuk menerima badge digital yang dapat Anda bagikan ke jaringan Anda.
Pelajari lebih lanjut
This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators.
This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.
Pelajari lebih lanjut
Kursus ini memperkenalkan topik penting tentang privasi dan keamanan AI. Kursus ini mengeksplorasi metode dan alat praktis untuk menerapkan rekomendasi praktik privasi dan keamanan AI melalui penggunaan produk dan alat open source Google Cloud.
Pelajari lebih lanjut
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
Pelajari lebih lanjut
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production.
Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.
Pelajari lebih lanjut
This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.
Pelajari lebih lanjut
Kursus ini memperkenalkan konsep responsible AI dan prinsip AI. Di dalamnya tercakup teknik untuk secara praktis mengidentifikasi keadilan dan bias serta memitigasi bias dalam praktik AI/ML. Kursus ini juga mengeksplorasi metode dan alat praktis untuk menerapkan praktik terbaik Responsible AI menggunakan produk Google Cloud dan alat open source.
Pelajari lebih lanjut
This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
Pelajari lebih lanjut
Kursus ini memperkenalkan konsep penafsiran dan transparansi AI. Kursus ini membahas pentingnya transparansi AI bagi developer dan engineer. Kursus ini juga mengeksplorasi metode dan alat praktis untuk membantu mencapai penafsiran dan transparansi, baik dalam model data maupun AI.
Pelajari lebih lanjut
Aplikasi AI generatif dapat mewujudkan pengalaman pengguna baru yang hampir tidak dimungkinkan sebelum ditemukannya model bahasa besar (LLM). Sebagai developer aplikasi, bagaimana cara menggunakan AI generatif untuk membangun aplikasi yang menarik dan canggih di Google Cloud?
Dalam kursus ini, Anda akan mempelajari aplikasi AI generatif dan cara Anda dapat menggunakan desain perintah serta retrieval-augmented generation (RAG) untuk membangun aplikasi yang canggih menggunakan LLM. Anda akan mempelajari arsitektur siap produksi yang dapat digunakan untuk aplikasi AI generatif dan Anda akan membangun aplikasi chat LLM berbasis RAG.
Pelajari lebih lanjut
Ini adalah kursus pengantar pembelajaran mikro yang membahas definisi model bahasa besar (LLM), kasus penggunaannya, dan cara menggunakan prompt tuning untuk meningkatkan performa LLM. Kursus ini juga membahas beberapa alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.
Pelajari lebih lanjut
Kursus ini membekali para praktisi machine learning dengan alat, teknik, dan praktik terbaik penting untuk mengevaluasi model AI generatif dan prediktif. Evaluasi model adalah disiplin ilmu yang sangat penting untuk memastikan sistem ML memberikan hasil yang andal, akurat, dan berperforma tinggi dalam produksi.
Peserta akan mendapatkan pemahaman yang mendalam mengenai berbagai metrik evaluasi, metodologi, dan penerapannya yang sesuai di berbagai jenis model dan tugas. Kursus ini akan berfokus pada tantangan unik yang dibuat oleh model AI generatif dan memberikan strategi untuk mengatasinya secara efektif. Dengan memanfaatkan platform Vertex AI di Google Cloud, para peserta akan belajar cara mengimplementasikan proses evaluasi yang kuat untuk melakukan pemilihan, pengoptimalan, dan pemantauan berkelanjutan pada model.
Pelajari lebih lanjut
Ini adalah kursus pengantar pembelajaran mikro yang bertujuan untuk mendefinisikan AI Generatif, cara penggunaannya, dan perbedaannya dari metode machine learning konvensional. Kursus ini juga mencakup Alat-alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.
Pelajari lebih lanjut
Kursus ini dikhususkan untuk membekali Anda dengan pengetahuan dan alat yang diperlukan guna mengungkap tantangan unik yang dihadapi oleh tim MLOps saat men-deploy dan mengelola model AI Generatif, serta mengeksplorasi cara Vertex AI memberdayakan tim AI dalam menyederhanakan proses MLOps dan mencapai keberhasilan dalam project AI Generatif.
Pelajari lebih lanjut
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
Pelajari lebih lanjut
Kursus ini memperkenalkan penawaran AI dan machine learning (ML) di Google Cloud yang membangun project AI prediktif dan generatif. Kursus ini akan membahas teknologi, produk, dan alat yang tersedia di seluruh siklus proses data ke AI, yang mencakup fondasi, pengembangan, dan solusi AI. Kursus ini bertujuan membantu data scientist, developer AI, dan engineer ML meningkatkan keterampilan dan pengetahuan mereka melalui pengalaman belajar yang menarik dan latihan praktik langsung.
Introduction to NotebookLM
Earned Agu 8, 2025 EDT
Configure AI Applications to optimize search results
Earned Agu 8, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Agu 7, 2025 EDT
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned Agu 7, 2025 EDT
Build Production-Ready Conversational Agents
Earned Agu 7, 2025 EDT
Recommendations with AI Applications
Earned Jul 30, 2025 EDT
Improve Vertex AI Search and Google Agentspace Search Results
Earned Jul 29, 2025 EDT
Vertex AI Search and Google Agentspace Analytics
Earned Jul 29, 2025 EDT
Basic Performance Measurement
Earned Jul 29, 2025 EDT
Vertex AI Search and Google Agentspace UI Configurations
Earned Jul 29, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned Jul 29, 2025 EDT
Create Data Stores for Gen AI Applications
Earned Jul 29, 2025 EDT
Build search and recommendations applications with AI Applications
Earned Jul 29, 2025 EDT
Introduction to AI Applications
Earned Jul 29, 2025 EDT
Advanced Performance Measurement
Earned Jul 28, 2025 EDT
Customer Engagement Suite with Google AI Architecture
Earned Jul 28, 2025 EDT
Analyze patterns in conversational data with Conversational Insights
Earned Jul 28, 2025 EDT
Conversational Insights
Earned Jul 28, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned Jul 28, 2025 EDT
Introduction to Agent Assist and its GenAI Capabilities
Earned Jul 28, 2025 EDT
Agent Summarization (Custom)
Earned Jul 25, 2025 EDT
Integrate Agent Assist with Telephony and Chatbot Systems
Earned Jul 25, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned Jul 25, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned Jul 23, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Jul 22, 2025 EDT
Virtual FAQ with data store agents
Earned Jul 22, 2025 EDT
Incorporate Generative Features into Conversational Agent flows
Earned Jul 22, 2025 EDT
Stateful Flows
Earned Jul 22, 2025 EDT
Generative Playbooks
Earned Jul 22, 2025 EDT
Introduction to CES and Conversational Agents
Earned Jul 17, 2025 EDT
Gen AI: Beyond the Chatbot
Earned Jun 18, 2025 EDT
Professional Machine Learning Engineer Study Guide
Earned Mei 23, 2025 EDT
Rekayasa Data untuk Pembuatan Model Prediktif dengan BigQuery ML
Earned Mei 23, 2025 EDT
Membuat Model ML dengan BigQuery ML
Earned Mei 23, 2025 EDT
Menyiapkan Data untuk ML API di Google Cloud
Earned Mei 22, 2025 EDT
Membangun dan Men-Deploy Solusi Machine Learning di Vertex AI
Earned Mei 22, 2025 EDT
Production Machine Learning Systems
Earned Mei 22, 2025 EDT
Responsible AI untuk Developer: Privasi & Keamanan
Earned Mei 21, 2025 EDT
Machine Learning Operations (MLOps): Getting Started
Earned Mei 21, 2025 EDT
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned Mei 21, 2025 EDT
Working with Notebooks in Vertex AI
Earned Mei 21, 2025 EDT
Responsible AI untuk Developer: Keadilan & Bias
Earned Mei 21, 2025 EDT
Feature Engineering
Earned Mei 21, 2025 EDT
Responsible AI untuk Developer: Penafsiran & Transparansi
Earned Mei 20, 2025 EDT
Membuat Aplikasi AI Generatif di Google Cloud
Earned Mei 20, 2025 EDT
Pengantar Model Bahasa Besar
Earned Mei 18, 2025 EDT
Machine Learning Operations (MLOps) dengan Vertex AI: Evaluasi Model
Earned Mei 18, 2025 EDT
Pengantar AI Generatif
Earned Mei 18, 2025 EDT
Machine Learning Operations (MLOps) untuk AI Generatif
Earned Mei 18, 2025 EDT
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned Mei 13, 2025 EDT
Pengantar AI dan Machine Learning di Google Cloud
Earned Mar 24, 2025 EDT