Explore Generative AI with the Gemini API in Vertex AI
Earned mai 28, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned mai 16, 2025 EDT
Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
Earned mai 16, 2025 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned mars 17, 2025 EDT
Analyzing and Visualizing Data in Looker
Earned mars 12, 2025 EDT
Digital Transformation with Google Cloud
Earned mars 7, 2025 EST
Intro to CCAI and CCAI Engagement Framework
Earned déc. 16, 2024 EST
Prompt Design in Vertex AI
Earned août 5, 2024 EDT
Generative AI Explorer - Vertex AI
Earned mars 10, 2024 EDT
Virtual Agent Development in Dialogflow ES for Software Devs
Earned mars 9, 2024 EST
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned mars 8, 2024 EST
Custom Search with Embeddings in Vertex AI
Earned mars 8, 2024 EST
Vector Search and Embeddings
Earned mars 7, 2024 EST
Contact Center AI: Conversational Design Fundamentals
Earned fév. 28, 2024 EST
Data Warehousing for Partners: BigQuery Extended Capabilities
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Streaming Analytics
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Analyze Data with Looker
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Stream Data with Pub/Sub
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Process Data with Dataflow
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Cloud Data Fusion Pipelines
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Process Data with Dataproc
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Migrate Data to BigQuery
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Optimize in BigQuery
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Design in BigQuery
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Enable Google Cloud Customers
Earned fév. 27, 2024 EST
Implementing Generative AI with Vertex AI
Earned fév. 26, 2024 EST
Create Image Captioning Models
Earned fév. 26, 2024 EST
Transformer Models and BERT Model
Earned fév. 26, 2024 EST
Introduction to Image Generation
Earned fév. 26, 2024 EST
Encoder-Decoder Architecture
Earned fév. 26, 2024 EST
Attention Mechanism
Earned fév. 26, 2024 EST
Introduction to Vertex AI Studio
Earned fév. 26, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned fév. 26, 2024 EST
Introduction to Responsible AI
Earned fév. 26, 2024 EST
Introduction to Generative AI
Earned fév. 26, 2024 EST
Introduction to Large Language Models
Earned fév. 26, 2024 EST
Text Prompt Engineering Techniques
Earned fév. 26, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned jan. 10, 2024 EST
Introduction to CES and Conversational Agents
Earned jan. 10, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned jan. 10, 2024 EST
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned jan. 8, 2024 EST
Search with AI Applications
Earned jan. 5, 2024 EST
Generative AI Explorer : Vertex AI
Earned jan. 4, 2024 EST
Introduction to Image Generation
Earned nov. 21, 2023 EST
Generative AI for Business Leaders
Earned nov. 21, 2023 EST
Introduction to Vertex AI Studio
Earned nov. 17, 2023 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned nov. 17, 2023 EST
Generative AI Fundamentals
Earned nov. 16, 2023 EST
Introduction to Responsible AI
Earned nov. 16, 2023 EST
Introduction to Large Language Models
Earned nov. 16, 2023 EST
Introduction to Generative AI
Earned nov. 16, 2023 EST
Complete the intermediate Explore Generative AI with the Gemini API in Vertex AI skill badge to demonstrate skills in the following: text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects.
En savoir plus
Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge 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. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.
En savoir plus
In this course, you’ll learn to use the Google Agent Development Kit to build complex, multi-agent systems. You will build agents equipped with tools, and connect them with parent-child relationships and flows to define how they interact. You’ll run your agents locally and deploy them to Vertex AI Agent Engine to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Engine.
Please note these labs are based off a pre-released version of this product. There may be some lag on these labs as we provide maintenance updates.
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This is an introductory course to all solutions in the Conversational AI portfolio and the Gen AI features that are available to transform them. The course also explores the business case around Conversational AI, and the use cases and user personas addressed by the solution. 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.
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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
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This is a introductory course to all solutions in the Contact Centre AI (CCAI) portfolio and the Generative AI features that are poised to transform them. The course also explores the CCAI go to market and engagement model, the business case around CCAI, as well as the use cases and user personas addressed by the solution.
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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. 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 course and the final assessment challenge lab to receive a skill badge that you can share with your network.
En savoir plus
The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.
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Welcome to "CCAI Virtual Agent Development in Dialogflow ES for Software Developers", the third course in the "Customer Experiences with Contact Center AI" series.
In this course, learn to use additional features of Dialogflow ES for your virtual agent, create a Firestore instance to store customer data, and implement cloud functions that access the data. With the ability to read and write customer data, learner’s virtual agents are conversationally dynamic and able to defer contact center volume from human agents. You'll be introduced to methods for testing your virtual agent and logs which can be useful for understanding issues that arise. Lastly, learn about connectivity protocols, APIs, and platforms for integrating your virtual agent with services already established for your business.
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Welcome to "Virtual Agent Development in Dialogflow ES for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will use Dialogflow ES to create virtual agents and test them using the Dialogflow ES simulator. This course also provides best practices on developing virtual agents. You will also be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations. Through a combination of presentations, demos, and hands-on labs, participants learn how to create virtual agents.
This is an intermediate course, intended for learners with the following types of roles:
Conversational designers: Designs the user experience of a virtual assistant. Translates the brand's business requirements into natural dialog flows.
Citizen developers: Creates new business applications fo…
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This course explores Google Cloud technologies to create and generate embeddings. Embeddings are numerical representations of text, images, video and audio, and play a pivotal role in many tasks that involve the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions. Specifically, you’ll use embeddings for tasks like classification, outlier detection, clustering and semantic search.
You’ll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) systems and question-answering solutions, on your own proprietary data using Google Cloud’s Vertex AI.
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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.
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Welcome to "CCAI Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to design customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will be introduced to CCAI and its three pillars (Dialogflow, Agent Assist, and Insights), and the concepts behind conversational experiences and how the study of them influences the design of your virtual agent. After taking this course you will be prepared to take your virtual agent design to the next level of intelligent conversation.
En savoir plus
This course explores the Geographic Information Systems (GIS), GIS Visualization, and machine learning enhancements to BigQuery.
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This course explores how to implement a streaming analytics solution using Dataflow and BigQuery.
En savoir plus
This course explores how to leverage Looker to create data experiences and gain insights with modern business intelligence (BI) and reporting.
En savoir plus
This course explores how to implement a streaming analytics solution using Pub/Sub.
En savoir plus
This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataflow.
En savoir plus
This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Cloud Data Fusion.
En savoir plus
This course explores the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataproc.
En savoir plus
This course identifies best practices for migrating data warehouses to BigQuery and the key skills required to perform successful migration.
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Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.
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Welcome to Design in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on schema design.
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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.
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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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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 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.
En savoir plus
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 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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
En savoir plus
In this course, you'll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You'll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) solutions, such as for question-answering systems, using Google Cloud's Vertex AI and Google Cloud databases.
En savoir plus
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.
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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
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(This course was previously named Multimodal Prompt Engineering with Gemini and PaLM) This course teaches how to use Vertex AI Studio, a Google Cloud console tool for rapidly prototyping and testing generative AI models. You learn to test sample prompts, design your own prompts, and customize foundation models to handle tasks that meet your application's needs. Whether you are looking for text, chat, code, image or speech generative experiences Vertex AI Studio offers you an interface to work with and APIs to integrate your production application.
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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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This content is deprecated. Please see the latest version of the course, here.
En savoir plus
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.
En savoir plus
A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
En savoir plus
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.
En savoir plus
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.
En savoir plus
Earn a skill badge 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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
Explore Generative AI with the Gemini API in Vertex AI
Earned mai 28, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned mai 16, 2025 EDT
Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
Earned mai 16, 2025 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned mars 17, 2025 EDT
Analyzing and Visualizing Data in Looker
Earned mars 12, 2025 EDT
Digital Transformation with Google Cloud
Earned mars 7, 2025 EST
Intro to CCAI and CCAI Engagement Framework
Earned déc. 16, 2024 EST
Prompt Design in Vertex AI
Earned août 5, 2024 EDT
Generative AI Explorer - Vertex AI
Earned mars 10, 2024 EDT
Virtual Agent Development in Dialogflow ES for Software Devs
Earned mars 9, 2024 EST
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned mars 8, 2024 EST
Custom Search with Embeddings in Vertex AI
Earned mars 8, 2024 EST
Vector Search and Embeddings
Earned mars 7, 2024 EST
Contact Center AI: Conversational Design Fundamentals
Earned fév. 28, 2024 EST
Data Warehousing for Partners: BigQuery Extended Capabilities
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Streaming Analytics
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Analyze Data with Looker
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Stream Data with Pub/Sub
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Process Data with Dataflow
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Cloud Data Fusion Pipelines
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Process Data with Dataproc
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Migrate Data to BigQuery
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Optimize in BigQuery
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Design in BigQuery
Earned fév. 27, 2024 EST
Data Warehousing for Partners: Enable Google Cloud Customers
Earned fév. 27, 2024 EST
Implementing Generative AI with Vertex AI
Earned fév. 26, 2024 EST
Create Image Captioning Models
Earned fév. 26, 2024 EST
Transformer Models and BERT Model
Earned fév. 26, 2024 EST
Introduction to Image Generation
Earned fév. 26, 2024 EST
Encoder-Decoder Architecture
Earned fév. 26, 2024 EST
Attention Mechanism
Earned fév. 26, 2024 EST
Introduction to Vertex AI Studio
Earned fév. 26, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned fév. 26, 2024 EST
Introduction to Responsible AI
Earned fév. 26, 2024 EST
Introduction to Generative AI
Earned fév. 26, 2024 EST
Introduction to Large Language Models
Earned fév. 26, 2024 EST
Text Prompt Engineering Techniques
Earned fév. 26, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned jan. 10, 2024 EST
Introduction to CES and Conversational Agents
Earned jan. 10, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned jan. 10, 2024 EST
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned jan. 8, 2024 EST
Search with AI Applications
Earned jan. 5, 2024 EST
Generative AI Explorer : Vertex AI
Earned jan. 4, 2024 EST
Introduction to Image Generation
Earned nov. 21, 2023 EST
Generative AI for Business Leaders
Earned nov. 21, 2023 EST
Introduction to Vertex AI Studio
Earned nov. 17, 2023 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned nov. 17, 2023 EST
Generative AI Fundamentals
Earned nov. 16, 2023 EST
Introduction to Responsible AI
Earned nov. 16, 2023 EST
Introduction to Large Language Models
Earned nov. 16, 2023 EST
Introduction to Generative AI
Earned nov. 16, 2023 EST