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Ashley Rice
Date d'abonnement : 2024
Ligue d'Or
88564 points
[DEPRECATED] AI Boost Bites: Research Hacks with NotebookLM
Earned nov. 29, 2025 EST
[DEPRECATED] AI Boost Bites: Find the Story in Your Data
Earned nov. 29, 2025 EST
AI Boost Bites: Streamline Event Planning with AI
Earned nov. 29, 2025 EST
AI Boost Bites: Supercharge Research with Gemini
Earned nov. 29, 2025 EST
AI Boost Bites: Make Any Big Purchase with Confidence
Earned nov. 29, 2025 EST
AI Boost Bites: Animated Charts with Gemini
Earned nov. 29, 2025 EST
AI Boost Bites: Turn Your Ideas into Animated Art
Earned nov. 29, 2025 EST
AI Boost Bites: Gamify Your Study Guides
Earned nov. 29, 2025 EST
AI Boost Bites: Your Personal AI Tutor
Earned nov. 29, 2025 EST
AI Boost Bites: AI Magic in a Sheets Cell
Earned nov. 29, 2025 EST
AI Boost Bites: Get Your Competitor's Playbook in Minutes
Earned nov. 25, 2025 EST
AI Boost Bites: Create a 3D Solar System
Earned nov. 25, 2025 EST
AI Boost Bites: Create Your Own Productivity Tools
Earned nov. 25, 2025 EST
AI Boost Bites: Guided Learning with Gemini
Earned nov. 25, 2025 EST
AI Boost Bites: Create Your Own Retro Arcade Game
Earned nov. 25, 2025 EST
AI Boost Bites: Become a "Vibe DJ"
Earned nov. 25, 2025 EST
AI Boost Bites: Create Your Ultimate College Scouting Report
Earned nov. 25, 2025 EST
AI Boost Bites: One-Click Campaign Visuals
Earned nov. 25, 2025 EST
AI Boost Bites: From Napkin Sketch to Functional App
Earned nov. 25, 2025 EST
[DEPRECATED] AI Boost Bites: NotebookLM Reports
Earned nov. 25, 2025 EST
AI Boost Bites: Your Personal Feedback Agent
Earned nov. 25, 2025 EST
AI Boost Bites: Presentation Scripts with Gemini
Earned nov. 25, 2025 EST
[DEPRECATED] AI Boost Bites: Project Notebooks
Earned nov. 25, 2025 EST
[DEPRECATED] AI Boost Bites: NotebookLM for Market Research
Earned nov. 25, 2025 EST
AI Boost Bites: Build a Personalized Weather App
Earned nov. 25, 2025 EST
[Deprecated]AI Boost Bites: NotebookLM Video Overviews
Earned nov. 25, 2025 EST
[DEPRECATED] AI Boost Bites: Discover Sources in NotebookLM
Earned nov. 25, 2025 EST
[DEPRECATED] AI Boost Bites: NotebookLM Mind Maps
Earned nov. 25, 2025 EST
[DEPRECATED] AI Boost Bites: Intro to NotebookLM
Earned nov. 25, 2025 EST
AI Boost Bites: Email Content Creation
Earned nov. 25, 2025 EST
AI Boost Bites: Create Docs in Seconds
Earned nov. 25, 2025 EST
[DEPRECATED] AI Boost Bites: AI Power-Ups for Google Workspace
Earned nov. 25, 2025 EST
AI Boost Bites: Tame Your Inbox with AI
Earned nov. 25, 2025 EST
AI Boost Bites: Gemini Slide Summaries
Earned nov. 25, 2025 EST
AI Boost Bites: No-Code Sheets & Scripts
Earned nov. 25, 2025 EST
AI Boost Bites: Amplify Exec Voices with AI
Earned nov. 25, 2025 EST
AI Boost Bites: Exec Summaries with Gemini Gems
Earned nov. 25, 2025 EST
AI Boost Bites: Automate tasks with Gemini and Apps Script
Earned nov. 25, 2025 EST
[DEPRECATED] AI Boost Bites: "Eat the Frog" with NotebookLM
Earned nov. 25, 2025 EST
AI Boost Bites: Gemini Image-to-Sheets Hack
Earned nov. 25, 2025 EST
AI Boost Bites: Poke Holes in Your Strategy
Earned nov. 25, 2025 EST
[DEPRECATED] AI Boost Bites: NotebookLM for Competitive Edge
Earned nov. 25, 2025 EST
AI Boost Bites: Personalization with customized prompts
Earned nov. 25, 2025 EST
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned nov. 25, 2025 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned nov. 25, 2025 EST
AI Boost Bites: Content Generation with Gemini Made Easy
Earned nov. 25, 2025 EST
[DEPRECATED] AI Boost Bites: Customer insights with NotebookLM
Earned nov. 25, 2025 EST
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned nov. 25, 2025 EST
Model Armor: Securing AI Deployments
Earned oct. 24, 2025 EDT
Introduction to Security in the World of AI
Earned oct. 23, 2025 EDT
Generative AI Explorer - Agent Platform
Earned juil. 20, 2025 EDT
Enhance Gemini Model Capabilities
Earned mars 24, 2025 EDT
Using the Google Cloud Speech API
Earned fév. 28, 2025 EST
Website Modernization with Generative AI on Google Cloud
Earned fév. 8, 2025 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned fév. 6, 2025 EST
Create ML Models with BigQuery ML
Earned jan. 13, 2025 EST
[DEPRECATED] Gemini for DevOps Engineers
Earned jan. 9, 2025 EST
Using BigQuery Machine Learning for Inference
Earned jan. 7, 2025 EST
[DEPRECATED] Gemini for Network Engineers
Earned jan. 6, 2025 EST
[DEPRECATED] Gemini for Security Engineers
Earned jan. 6, 2025 EST
Introduction to Security in the World of AI
Earned jan. 6, 2025 EST
Introduction to Vertex AI Studio
Earned jan. 6, 2025 EST
[DEPRECATED] Gemini for Data Scientists and Analysts
Earned jan. 5, 2025 EST
Create Image Captioning Models
Earned jan. 3, 2025 EST
Encoder-Decoder Architecture
Earned jan. 1, 2025 EST
Responsible AI for Developers: Privacy & Safety
Earned déc. 31, 2024 EST
Attention Mechanism
Earned déc. 28, 2024 EST
Transformer Models and BERT Model
Earned déc. 28, 2024 EST
Vector Search and Embeddings
Earned déc. 27, 2024 EST
[DEPRECATED] Gemini for Cloud Architects
Earned déc. 27, 2024 EST
[DEPRECATED] Gemini for Application Developers
Earned déc. 27, 2024 EST
[DEPRECATED] Gemini for end-to-end SDLC
Earned déc. 15, 2024 EST
Build AI Agents with Agent Platform and Flutter
Earned déc. 14, 2024 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned déc. 10, 2024 EST
Introduction to Image Generation
Earned déc. 1, 2024 EST
Working with Notebooks in Vertex AI
Earned oct. 22, 2024 EDT
Create Generative AI Apps on Google Cloud
Earned oct. 21, 2024 EDT
Prepare Data for ML APIs on Google Cloud
Earned oct. 21, 2024 EDT
Build a Certification Study Guide: PMLE
Earned oct. 18, 2024 EDT
ML Pipelines on Google Cloud
Earned oct. 11, 2024 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned sept. 19, 2024 EDT
Natural Language Processing on Google Cloud
Earned sept. 19, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned sept. 18, 2024 EDT
Responsible AI for Developers: Fairness & Bias
Earned sept. 15, 2024 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned sept. 15, 2024 EDT
Responsible AI for Developers: Interpretability & Transparency
Earned sept. 12, 2024 EDT
MLOps with Agent Platform: Manage Features
Earned sept. 5, 2024 EDT
Machine Learning Operations (MLOps): Getting Started
Earned sept. 4, 2024 EDT
Recommendation Systems on Google Cloud
Earned sept. 1, 2024 EDT
Computer Vision Fundamentals with Google Cloud
Earned août 28, 2024 EDT
Production Machine Learning Systems
Earned août 23, 2024 EDT
Machine Learning in the Enterprise
Earned août 22, 2024 EDT
[DEPRECATED] Feature Engineering
Earned août 18, 2024 EDT
[Depricated] Build, Train and Deploy ML Models with Keras on Google Cloud
Earned août 14, 2024 EDT
Launching into Machine Learning
Earned août 11, 2024 EDT
How Google Does Machine Learning
Earned août 9, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned août 4, 2024 EDT
[DEPRECATED] Enterprise Database Migration
Earned juil. 7, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned juin 24, 2024 EDT
Prompt Design in Agent Platform
Earned juin 23, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned juin 15, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juin 12, 2024 EDT
[DEPRECATED]Introduction to Responsible AI
Earned juin 11, 2024 EDT
Introduction to Large Language Models
Earned juin 11, 2024 EDT
Introduction to Generative AI
Earned juin 11, 2024 EDT
In this video, you'll learn to use NotebookLM to manage a large-scale research project. You'll see how to upload all your documents to get summaries, ask deeper strategic questions to find key insights, and use the audio feature to listen to your findings on the go.
En savoir plus
In this video, you'll learn to use NotebookLM to analyze raw data and find compelling stories. You'll see how to ground the AI in your specific documents, prompt it to generate newsworthy PR claims, and ask it to find hidden correlations between different data points to uncover new insights.
En savoir plus
In this video, you'll learn to use an AI assistant to streamline large-scale event planning. You'll see how to prompt an AI to brainstorm off-site ideas, create fair groups for icebreakers, build a shuttle schedule based on arrival times, and analyze survey feedback for gains and losses.
En savoir plus
In this video, you'll learn pro tips for conducting thorough competitive research with Gemini Deep Research. You'll see how to enhance a basic prompt by assigning a persona, specifying a table format for the output, and directing the AI to search specific sources like Reddit for richer insights.
En savoir plus
In this video, you'll learn to use Gemini Deep Research to make complex purchasing decisions with confidence. You'll see how to write a nuanced, personal prompt about your specific needs and receive a synthesized, comparative report that cuts through the clutter of online reviews.
En savoir plus
This video covers how to use a simple text prompt in Gemini Canvas to transform data into an engaging, animated bar chart race visualization.
En savoir plus
In this video, you'll learn to create complex animated art using Gemini Canvas. You'll see how to write a descriptive prompt to generate a kinetic typography animation with distortion effects, and then use a follow-up prompt to completely change its color style.
En savoir plus
In this video, you'll learn to turn your study guides into interactive quizzes using Gemini Canvas. You'll see how to upload your notes and use a simple prompt to generate a quiz with multiple choice and fill-in-the-blank questions that provide immediate feedback.
En savoir plus
In this video, you'll learn to build a reusable, custom "Study Guide Gem." You'll see how to write the core instructions for your Gem once, and then use it again and again to transform messy notes and articles into a perfectly structured study guide with a summary, outline, and glossary.
En savoir plus
In this video, you'll learn to use the =AI() function in Google Sheets to automate your work. You'll see how to generate text like slogans, summarize paragraphs of customer feedback, and categorize data by classifying inquiries and analyzing sentiment.
En savoir plus
In this video, you'll learn to use Gemini Deep Research to conduct competitive marketing analysis. You'll see how to submit a research prompt, approve the personalized research plan Gemini creates, and receive a detailed, synthesized report on competitor campaigns to inform your strategy.
En savoir plus
This video covers how to use simple text prompts in Gemini Canvas to build an interactive 3D solar system simulation and add educational features to it.
En savoir plus
In this video, you'll learn to build a custom personal utility app using Gemini Canvas. You'll see how to write a detailed prompt to create a Pomodoro timer tailored to your specific needs, and then use follow-up prompts to adjust its visual design.
En savoir plus
This video covers how to use the Guided Learning experience in Gemini, a collaborative AI partner that helps you build deep understanding through questions and interactive tools.
En savoir plus
This video covers how to use a simple prompt in Gemini Canvas to build, customize, and share your own playable game, like Tic-Tac-Toe.
En savoir plus
In this video, you'll learn to build a working music synthesizer using a simple text prompt in Gemini Canvas. You'll see how to specify controls like waveform, attack, and sustain, and then interact with the generated instrument to create and experiment with your own unique sounds.
En savoir plus
This video covers how to use Gemini Deep Research with creative prompts to turn complex information into a fun, personalized analysis, like a sports scouting report and bracket.
En savoir plus
In this video, you'll learn to use the Create menu in Gemini Canvas to instantly convert a block of text into a variety of visual formats. You’ll see how to take a brainstormed marketing campaign and turn it into both a shareable infographic and an internal webpage with just one click.
En savoir plus
This video covers how to use Gemini Canvas to transform a simple drawing of an app into a functional prototype using a technique called "vibe coding."
En savoir plus
This video covers how NotebookLM's Reports feature dynamically suggests formats to help you create customized, trustworthy analyses of your documents with ease.
En savoir plus
This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.
En savoir plus
This video covers how to use Gemini Advanced to research a topic, create a presentation outline, and then use Gemini in Google Docs to generate talking points.
En savoir plus
This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.
En savoir plus
This video covers how to use NotebookLM for common marketing tasks like
analyzing customer feedback, conducting market research, and generating
content ideas.
En savoir plus
In this video, you'll learn to build a working prototype of a personalized weather app using Gemini Canvas. You'll see how to specify the cities for a 7-day forecast and then use a follow-up prompt to change the app's theme to a minimal, dark mode interface.
En savoir plus
This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.
En savoir plus
This video covers how to use the 'Discover Sources' feature in NotebookLM to find and import relevant web-based sources directly into your research project.
En savoir plus
This video covers how to use the Mind Maps feature in NotebookLM to automatically create a visual representation of your sources, helping you understand connections and key concepts.
En savoir plus
This video covers how to use NotebookLM as a personal research
assistant by adding sources, asking questions, and generating new content
formats based on your documents.
En savoir plus
This video covers how to use Gemini in Gmail to draft new emails,
refine their tone, respond with context from Drive files, and use smart
reply suggestions.
En savoir plus
This video covers how to use the 'Help me create' feature in Google Docs to generate a complete, formatted document by referencing content from other files in your Drive.
En savoir plus
This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.
En savoir plus
This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.
En savoir plus
This video covers how to use Gemini in Slides to automatically generate
meeting recaps and draft follow-up emails, which can streamline your
post-meeting workflow and save you time.
En savoir plus
This video covers how you can leverage Gemini's advanced AI capabilities within Google Sheets to effortlessly pull data and generate insights in minutes, all without the need for any technical or coding background.
En savoir plus
This video will cover how to leverage Gemini Gems to create authentic
social media posts in your leader's unique voice. Learn to overcome the
challenge of scaling executive social presence by training a Gem with
writing samples and clear instructions. Discover how to generate engaging
posts quickly, saving time while amplifying thought leadership and
ensuring authenticity.
En savoir plus
This video covers how you can create your own Brevity Gem to summarize and transform messy notes or long documents into clear, concise, executive-ready summaries.
En savoir plus
This video covers how to use Gemini and Apps Script to automate manual tasks across Google Workspace. You'll learn to prompt Gemini to generate Apps Script code that automatically drafts email reminders in Google Sheets for tasks not marked 'Complete.' Automate your workflow with little to no technical expertise, freeing up time for more important work and eliminating manual follow-ups.
En savoir plus
This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.
En savoir plus
This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!
En savoir plus
This video covers using AI to identify weaknesses and hidden assumptions in your strategy. You'll learn the "Poke Holes" method, a simple way to pressure-test your plans with AI prompts, uncovering gaps and strengthening your strategic thinking.
En savoir plus
This video will cover how to use NotebookLM to gather and analyze
publicly available information, combine it with internal documents, and
extract key competitive insights.
En savoir plus
This video covers how to personalize your Gemini results in Google
Workspace. Learn to incorporate documents and research papers directly
into your prompts using the "@" symbol to get more targeted and relevant
AI output tailored to your needs.
En savoir plus
This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.
En savoir plus
This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.
En savoir plus
This video will cover how you can leverage Gemini's advanced AI capabilities in Google Docs to brainstorm ideas, draft various marketing content, and collaborate with your team.
En savoir plus
This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.
En savoir plus
This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
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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 apps. Explore other content in the Gemini Agent Ready (GEAR) program.
En savoir plus
Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.
En savoir plus
The Generative AI Explorer - Agent Platform course 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 Gemini models in Agent Platform. 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 custom training in Agent Platform and deploy it to an endpoint in Agent Platform.
En savoir plus
Complete the intermediate Enhance Gemini Model Capabilities skill badge to demonstrate skills in the following: leveraging advanced features of Gemini models, including code generation and execution, grounding, controlled content generation, and synthetic data creation, to build more powerful and sophisticated AI applications.
En savoir plus
Earn a skill badge by completing the Using the Google Cloud Speech API skill badge course, where you learn how create a Speech-to-Text API request, transcribe audio speech to text, and transcribe speech.
En savoir plus
Enhance the navigation experience of your website by using generative AI (gen AI) to provide a better search experience for your users.
In this course, you'll learn how to use Agent Search on Gemini Enterprise Agent Platform to provide your website users a generative search experience, enabling them to discover content offered by the website. As a website editor, you also learn how to use gen AI to quickly and efficiently translate and improve the content using suggestions. Explore other content in the Gemini Agent Ready (GEAR) program.
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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps engineers manage infrastructure. You learn how to prompt Gemini to find and understand application logs, create a GKE cluster, and investigate how to create a build environment. Using a hands-on lab, you experience how Gemini improves the DevOps workflow.
Duet AI was renamed to Gemini, our next-generation model.
En savoir plus
Learn about BigQuery ML for Inference, why Data Analysts should use it, its use cases, and supported ML models. You will also learn how to create and manage these ML models in BigQuery.
En savoir plus
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps network engineers create, update, and maintain VPC networks. You learn how to prompt Gemini to provide specific guidance for your networking tasks, beyond what you would receive from a search engine. Using a hands-on lab, you experience how Gemini makes it easier for you to work with Google Cloud VPC networks.
Duet AI was renamed to Gemini, our next-generation model.
En savoir plus
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture.
Duet AI was renamed to Gemini, our next-generation model.
En savoir plus
Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.
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
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
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 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 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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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 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
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.
En savoir plus
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow.
Duet AI was renamed to Gemini, our next-generation model.
En savoir plus
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow.
Duet AI was renamed to Gemini, our next-generation model.
En savoir plus
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC).
Duet AI was renamed to Gemini, our next-generation model.
En savoir plus
This course provides a foundational understanding of Gemini models and their application in generative AI solutions. You will explore the tools available on the Gemini Enterprise Agent Platform to build search and reasoning capabilities for your apps.
You will also work with Flutter, Google's UI framework used to build applications for multiple platforms from a single codebase.
Explore other content in the Gemini Agent Ready (GEAR) program.
En savoir plus
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.
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 Gemini Enterprise Agent Platform.
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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
Generative AI applications can create new user experiences that were nearly impossible before the invention of large language models (LLMs). As an application developer, how can you use generative AI to build engaging, powerful apps on Google Cloud?
In this course, you'll learn about generative AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs. You'll learn about a production-ready architecture that can be used for generative AI applications and you'll build an LLM and RAG-based chat application. Explore other content in the Gemini Agent Ready (GEAR) program.
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 Managed Service for Apache Spark, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
En savoir plus
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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In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. You will learn about pipeline components and pipeline orchestration with TFX. You will also learn how you can automate your pipeline through continuous integration and continuous deployment, and how to manage ML metadata. Then we will change focus to discuss how we can automate and reuse ML pipelines across multiple ML frameworks such as tensorflow, pytorch, scikit learn, and xgboost. You will also learn how to use another tool on Google Cloud, Cloud Composer, to orchestrate your continuous training pipelines. And finally, we will go over how to use MLflow for managing the complete machine learning life cycle.
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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 Agent Platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
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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 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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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.
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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 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 Agent Platform Feature Store's streaming ingestion at the SDK layer.
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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.
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In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.
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This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models.
The course shows how to improve a model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting the data.
The course also looks at practical issues that arise, for example, when one doesn't have enough data and how to incorporate the latest research findings into different models.
Learners will get hands-on practice building and optimizing their own image classification models on a variety of public datasets in the labs they will work on.
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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.
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This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing.
The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.
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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.
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This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
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The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
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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.
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This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs participants move databases to Google Cloud while taking advantage of various services.
This course covers how to move on-premises, enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud bare metal.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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Complete the introductory 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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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. Innovating with Google Cloud Artificial Intelligence explores how organizations can use AI and ML to transform their business processes.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps. Explore other content in the Gemini Agent Ready (GEAR) program.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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