Vertex AI is now Gemini Enterprise Agent Platform! We are currently updating our content to reflect this change. Please bear with us if you encounter naming inconsistencies during this transition.
Daniel Manzela
Date d'abonnement : 2024
Ligue de Diamant
20585 points
Edit images with Imagen
Earned avr. 30, 2026 EDT
Generate and Edit Media in Vertex AI
Earned avr. 30, 2026 EDT
Deploy and Evaluate Model Garden Models
Earned avr. 30, 2026 EDT
Extend Gemini with controlled generation and Tool use
Earned avr. 29, 2026 EDT
Deploy an Agent with Agent Development Kit (ADK)
Earned avr. 29, 2026 EDT
Create ML Models with BigQuery ML
Earned avr. 25, 2026 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned avr. 25, 2026 EDT
Working with Notebooks in Vertex AI
Earned avr. 25, 2026 EDT
Prepare Data for ML APIs on Google Cloud
Earned avr. 25, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned avr. 25, 2026 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned avr. 25, 2026 EDT
Explore Google's Gen AI Models
Earned avr. 16, 2026 EDT
Responsible AI for Developers: Privacy & Safety
Earned jan. 14, 2026 EST
Optimize Agent Behavior
Earned jan. 14, 2026 EST
Build Your First Agent with Agent Development Kit (ADK)
Earned jan. 14, 2026 EST
Agent Fundamentals
Earned jan. 14, 2026 EST
Responsible AI for Developers: Interpretability & Transparency
Earned jan. 14, 2026 EST
Build a Certification Study Guide: PMLE
Earned jan. 13, 2026 EST
Responsible AI for Developers: Fairness & Bias
Earned jan. 13, 2026 EST
Explore Generative AI with the Gemini API in Vertex AI
Earned jan. 13, 2026 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned jan. 13, 2026 EST
Vector Search and Embeddings
Earned jan. 10, 2026 EST
Introduction to Vertex AI Studio
Earned jan. 9, 2026 EST
Create Image Captioning Models
Earned jan. 9, 2026 EST
Transformer Models and BERT Model
Earned jan. 5, 2026 EST
Encoder-Decoder Architecture
Earned jan. 5, 2026 EST
Attention Mechanism
Earned jan. 5, 2026 EST
Introduction to Image Generation
Earned jan. 5, 2026 EST
Deploy Multi-Agent Architectures
Earned jan. 4, 2026 EST
Machine Learning Operations (MLOps) for Generative AI
Earned jan. 4, 2026 EST
Accelerate Knowledge Exchange with Gemini Enterprise
Earned jan. 4, 2026 EST
Model Armor: Securing AI Deployments
Earned jan. 4, 2026 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned jan. 4, 2026 EST
Build AI Agents with Enterprise Databases
Earned jan. 1, 2026 EST
Build intelligent agents with Agent Development Kit (ADK)
Earned jan. 1, 2026 EST
Prompt Design in Vertex AI
Earned jan. 1, 2026 EST
Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
Earned déc. 31, 2025 EST
Gen AI Agents: Transform Your Organization
Earned déc. 31, 2025 EST
Gen AI Apps: Transform Your Work
Earned déc. 31, 2025 EST
Gen AI: Navigate the Landscape
Earned déc. 31, 2025 EST
Gen AI: Unlock Foundational Concepts
Earned déc. 31, 2025 EST
Gen AI: Beyond the Chatbot
Earned déc. 31, 2025 EST
Introduction to Gemini Enterprise
Earned déc. 3, 2025 EST
Understand Google Cloud Agents
Earned déc. 3, 2025 EST
Introduction to Responsible AI
Earned mai 29, 2024 EDT
Introduction to Large Language Models
Earned mai 29, 2024 EDT
Introduction to Generative AI
Earned mai 29, 2024 EDT
Complete the Edit images with Imagen skill badge to demonstrate your skills with Imagen's mask modes and editing modes to edit images according to certain prompts.
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!
En savoir plus
This course dives into the world of media creation in Vertex AI using Nano Banana and Veo. Learn to design text and image-based prompts to produce high-quality, consistent images, and captivating, cinematic video clips. You'll also learn to refine generated assets using core editing functions. Finally, this course guides you through multi-tool workflow implementations for creative control and consistency, empowering you to transform images into video clips and leverage Gemini for prompt writing assistance and feedback.
En savoir plus
In this skill bagde, you will demonstrate your ability to use and compare models available in the Vertex AI Model Garden. You'll deploy a model to a Vertex AI Endpoint, query other models via their API, and use Vertex AI's Gen AI evaluation service to measure the performance of multiple models.
En savoir plus
Complete the Extend Gemini with controlled generation and Tool use skill badge to demonstrate your proficiency in connecting models to external tools and APIs. This allows models to augment their knowledge, extend their capabilities and interact with external systems to take actions such as sending an email.
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!"
En savoir plus
In this challenge lab, you will demonstrate your ability to author agents using Agent Development Kit (ADK), deploy those agents to Agent Engine, and use them from a web app. Complete the challenge lab to earn a Google Cloud skill badge.
En savoir plus
Learn a variety of strategies and techniques to engineer effective prompts for generative models
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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 Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
En savoir plus
This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
En savoir plus
This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production.
Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
En savoir plus
Learn how to leverage Gemini multimodal capabilities to process and generate text, images, and audio and to integrate Gemini through APIs to perform tasks such as content creation and summarization.
En savoir plus
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.
En savoir plus
You’ve built your first agent—now it’s time to take it further. In this course, you’ll advance your skills by learning how to turn a basic AI agent into a sophisticated, precise assistant—applying advanced instructions, model selection, planning capabilities, and structured output patterns.
Join the community forum for questions and discussions
En savoir plus
Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK).
In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces. You’ll also learn the core parameters that define agent behavior, taking what you learned in course 1 and applying it to working code.
En savoir plus
AI Agents represent a major shift beyond traditional large language models (LLMs): instead of simply generating text-based solutions, they can also act autonomously to execute them.
This course introduces the fundamentals of AI Agents, how they differ from LLM APIs, and where they add value in the real world. Based on Google’s agents whitepaper, it provides the theoretical foundation needed before writing your first lines of agent code—ideal for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior (and not just text generation).
Join the community forum for questions and discussions.
En savoir plus
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.
En savoir plus
Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
En savoir plus
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.
En savoir plus
Complete the intermediate Explore Generative AI with the Gemini API in Vertex AI skill badge to demonstrate skills in 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 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.
En savoir plus
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.
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
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
En savoir plus
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.
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.
En savoir plus
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.
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
Complete the advanced Deploy Multi-Agent Architectures skill badge to demonstrate skills in the following: building multi-agent systems with ADK, connecting agents with the Agent-to-Agent (A2A) protocol, integrating external tools using the Model Context Protocol (MCP), and deploying a complete multi-agent solution to Agent Engine.
En savoir plus
This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
En savoir plus
Unite Google’s expertise in search and AI with Gemini Enterprise, a powerful tool designed to help employees find specific information from document storage, email, chats, ticketing systems, and other data sources, all from a single search bar. The Gemini Enterprise assistant can also help brainstorm, research, outline documents, and take actions like inviting coworkers to a calendar event to accelerate knowledge work and collaboration of all kinds.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
En savoir plus
This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI applications.
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
Build AI agents that can leverage enterprise databases using the MCP Toolbox for Databases. You will define secure database interaction tools, and implement intelligent querying capabilities (leveraging vector embeddings, structured queries).
En savoir plus
This structured course is for developers interested in building intelligent agents using the Agent Development Kit (ADK). It combines hands-on experience, core concepts, and practical application, to provide a comprehensive guide to using ADK. You can also join our community of Google Cloud experts and peers to ask questions, collaborate on answers, and connect with the Googlers making the products you use every day.
En savoir plus
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.
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.
En savoir plus
Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools.
En savoir plus
Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.
En savoir plus
Gen AI: Navigate the Landscape s the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
En savoir plus
Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
En savoir plus
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.
En savoir plus
This course introduces Gemini Enteprise, a powerful platform that brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges. Through real-world examples and hands-on exploration, learners will be able to connect Gemini Enterprise capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles.
En savoir plus
This course provides a comprehensive overview of Google Cloud's agent platforms, including Vertex AI Agent Builder, Gemini Enterprise, Conversational Agents, and the Agent Development Kit. Learners will understand the unique capabilities of each offering, distinguish between the optimal solution for specific use cases, and gain foundational knowledge in creating search and chat applications.
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.
Edit images with Imagen
Earned avr. 30, 2026 EDT
Generate and Edit Media in Vertex AI
Earned avr. 30, 2026 EDT
Deploy and Evaluate Model Garden Models
Earned avr. 30, 2026 EDT
Extend Gemini with controlled generation and Tool use
Earned avr. 29, 2026 EDT
Deploy an Agent with Agent Development Kit (ADK)
Earned avr. 29, 2026 EDT
Engineer Effective Prompts for Generative Models
Earned avr. 29, 2026 EDT
Feature Engineering
Earned avr. 28, 2026 EDT
Create ML Models with BigQuery ML
Earned avr. 25, 2026 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned avr. 25, 2026 EDT
Working with Notebooks in Vertex AI
Earned avr. 25, 2026 EDT
Prepare Data for ML APIs on Google Cloud
Earned avr. 25, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned avr. 25, 2026 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned avr. 25, 2026 EDT
Explore Google's Gen AI Models
Earned avr. 16, 2026 EDT
Responsible AI for Developers: Privacy & Safety
Earned jan. 14, 2026 EST
Optimize Agent Behavior
Earned jan. 14, 2026 EST
Build Your First Agent with Agent Development Kit (ADK)
Earned jan. 14, 2026 EST
Agent Fundamentals
Earned jan. 14, 2026 EST
Responsible AI for Developers: Interpretability & Transparency
Earned jan. 14, 2026 EST
Build a Certification Study Guide: PMLE
Earned jan. 13, 2026 EST
Responsible AI for Developers: Fairness & Bias
Earned jan. 13, 2026 EST
Explore Generative AI with the Gemini API in Vertex AI
Earned jan. 13, 2026 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned jan. 13, 2026 EST
Vector Search and Embeddings
Earned jan. 10, 2026 EST
Introduction to Vertex AI Studio
Earned jan. 9, 2026 EST
Create Image Captioning Models
Earned jan. 9, 2026 EST
Transformer Models and BERT Model
Earned jan. 5, 2026 EST
Encoder-Decoder Architecture
Earned jan. 5, 2026 EST
Attention Mechanism
Earned jan. 5, 2026 EST
Introduction to Image Generation
Earned jan. 5, 2026 EST
Deploy Multi-Agent Architectures
Earned jan. 4, 2026 EST
Machine Learning Operations (MLOps) for Generative AI
Earned jan. 4, 2026 EST
Accelerate Knowledge Exchange with Gemini Enterprise
Earned jan. 4, 2026 EST
Model Armor: Securing AI Deployments
Earned jan. 4, 2026 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned jan. 4, 2026 EST
Build AI Agents with Enterprise Databases
Earned jan. 1, 2026 EST
Build intelligent agents with Agent Development Kit (ADK)
Earned jan. 1, 2026 EST
Prompt Design in Vertex AI
Earned jan. 1, 2026 EST
Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
Earned déc. 31, 2025 EST
Gen AI Agents: Transform Your Organization
Earned déc. 31, 2025 EST
Gen AI Apps: Transform Your Work
Earned déc. 31, 2025 EST
Gen AI: Navigate the Landscape
Earned déc. 31, 2025 EST
Gen AI: Unlock Foundational Concepts
Earned déc. 31, 2025 EST
Gen AI: Beyond the Chatbot
Earned déc. 31, 2025 EST
Introduction to Gemini Enterprise
Earned déc. 3, 2025 EST
Understand Google Cloud Agents
Earned déc. 3, 2025 EST
Introduction to Responsible AI
Earned mai 29, 2024 EDT
Introduction to Large Language Models
Earned mai 29, 2024 EDT
Introduction to Generative AI
Earned mai 29, 2024 EDT