가입 로그인

franz heffa

회원 가입일: 2025

Google DeepMind: 07 Accelerate Your Model Earned 4월 3, 2026 EDT
에이전트 개발 키트(ADK)로 나의 첫 에이전트 빌드 Earned 3월 31, 2026 EDT
에이전트 개발 키트(ADK)로 에이전트 빌드 Earned 3월 31, 2026 EDT
Google DeepMind: 05 Fine-Tune Your Model Earned 3월 31, 2026 EDT
에이전트 기초 Earned 3월 14, 2026 EDT
Google DeepMind: Train A Small Language Model Earned 12월 15, 2025 EST
Google Workspace를 위한 Gemini 소개 Earned 12월 14, 2025 EST
개발자를 위한 책임감 있는 AI: 공정성 및 편향 Earned 12월 14, 2025 EST
How to Use TPUs for Inference Earned 12월 3, 2025 EST
Architecting an AI Inference Stack Earned 12월 3, 2025 EST
Vertex AI로 머신러닝 작업(MLOps): 모델 평가 Earned 12월 1, 2025 EST
생성형 AI를 위한 머신러닝 작업(MLOps) Earned 11월 30, 2025 EST
AI Boost Bites: Advanced Analysis in Sheets Earned 11월 27, 2025 EST
AI Boost Bites: Notes to Sheets with Gemini Earned 11월 27, 2025 EST
AI Boost Bites: Gemini Calendar Hacks in Gmail Earned 11월 27, 2025 EST
AI Boost Bites: Build Slides Fast with Gemini Earned 11월 27, 2025 EST
AI Boost Bites: Talk to Your Data in Sheets Earned 11월 27, 2025 EST
AI Boost Bites: AI Magic in a Sheets Cell Earned 11월 27, 2025 EST
AI Boost Bites: Create ‘What If’ Scenarios with AI Earned 11월 27, 2025 EST
AI Boost Bites: Become a Creative Mashup Artist Earned 11월 27, 2025 EST
AI Boost Bites: Become an AI Art Director for Your World Earned 11월 27, 2025 EST
AI Boost Bites: Create the Perfect Portrait Earned 11월 27, 2025 EST
AI Boost Bites: Research Hacks with NotebookLM Earned 11월 27, 2025 EST
AI Boost Bites: Find the Story in Your Data Earned 11월 27, 2025 EST
AI Boost Bites: Streamline Event Planning with AI Earned 11월 27, 2025 EST
AI Boost Bites: Make Any Big Purchase with Confidence Earned 11월 27, 2025 EST
AI Boost Bites: Animated Charts with Gemini Earned 11월 27, 2025 EST
AI Boost Bites: Turn Your Ideas into Animated Art Earned 11월 27, 2025 EST
AI Boost Bites: Your Personal AI Tutor Earned 11월 26, 2025 EST
AI Boost Bites: Gamify Your Study Guides Earned 11월 26, 2025 EST
AI Boost Bites: Get Your Competitor's Playbook in Minutes Earned 11월 25, 2025 EST
AI Boost Bites: Build a Personalized Weather App Earned 11월 23, 2025 EST
AI Boost Bites: Create a 3D Solar System Earned 11월 23, 2025 EST
AI Boost Bites: Create Your Own Productivity Tools Earned 11월 23, 2025 EST
AI Boost Bites: Guided Learning with Gemini Earned 11월 23, 2025 EST
AI Boost Bites: Create Your Own Retro Arcade Game Earned 11월 23, 2025 EST
AI Boost Bites: Become a "Vibe DJ" Earned 11월 23, 2025 EST
AI Boost Bites: Create Your Ultimate College Scouting Report Earned 11월 23, 2025 EST
AI Boost Bites: NotebookLM Video Overviews Earned 11월 23, 2025 EST
AI Boost Bites: Discover Sources in NotebookLM Earned 11월 22, 2025 EST
AI Boost Bites: NotebookLM Mind Maps Earned 11월 22, 2025 EST
AI Boost Bites: One-Click Campaign Visuals Earned 11월 22, 2025 EST
AI Boost Bites: From Napkin Sketch to Functional App Earned 11월 22, 2025 EST
AI Boost Bites: NotebookLM Reports Earned 11월 21, 2025 EST
AI Boost Bites: Your Personal Feedback Agent Earned 11월 21, 2025 EST
AI Boost Bites: Presentation Scripts with Gemini Earned 11월 21, 2025 EST
AI Boost Bites: Email Content Creation Earned 11월 21, 2025 EST
AI Boost Bites: Create Docs in Seconds Earned 11월 21, 2025 EST
AI Boost Bites: Tame Your Inbox with AI Earned 11월 20, 2025 EST
AI Boost Bites: Gemini Slide Summaries Earned 11월 20, 2025 EST
AI Boost Bites: No-Code Sheets & Scripts Earned 11월 19, 2025 EST
AI Boost Bites: Amplify Exec Voices with AI Earned 11월 19, 2025 EST
AI Boost Bites: Exec Summaries with Gemini Gems Earned 11월 19, 2025 EST
AI Boost Bites: Automate tasks with Gemini and Apps Script Earned 11월 18, 2025 EST
AI Boost Bites: TL;DR with Gemini in Docs & Drive Earned 11월 18, 2025 EST
AI Boost Bites: "Eat the Frog" with NotebookLM Earned 11월 18, 2025 EST
AI Boost Bites: Gemini Image-to-Sheets Hack Earned 11월 18, 2025 EST
AI Boost Bites: Poke Holes in Your Strategy Earned 11월 18, 2025 EST
AI Boost Bites: NotebookLM for Competitive Edge Earned 11월 18, 2025 EST
AI Boost Bites: Personalization with customized prompts Earned 11월 17, 2025 EST
AI Boost Bites: Content Generation with Gemini Made Easy Earned 11월 17, 2025 EST
AI Boost Bites: Supercharge Research with Gemini Earned 11월 17, 2025 EST
AI Boost Bites: NotebookLM for Market Research Earned 11월 17, 2025 EST
AI Boost Bites: Intro to NotebookLM Earned 11월 17, 2025 EST
AI Boost Bites: Project Notebooks Earned 11월 16, 2025 EST
AI Boost Bites: AI Power-Ups for Google Workspace Earned 11월 16, 2025 EST
AI Boost Bites: Prompting like a Pro with Google Workspace Earned 11월 15, 2025 EST
AI 인프라: AI 하이퍼컴퓨터 소개 Earned 11월 13, 2025 EST
Google Cloud 기초: 핵심 인프라 Earned 11월 13, 2025 EST
Google Cloud의 Kubernetes Earned 11월 9, 2025 EST
Professional Cloud Architect 여정 준비하기 Earned 11월 3, 2025 EST
Google DeepMind: 03 Design And Train Neural Networks Earned 10월 27, 2025 EDT
Google DeepMind: 02 Represent Your Language Data Earned 10월 26, 2025 EDT
Google DeepMind: 01 Build Your Own Small Language Model Earned 10월 26, 2025 EDT
Google DeepMind: 04 Discover The Transformer Architecture Earned 10월 26, 2025 EDT
Google Workspace Troubleshooting Earned 10월 25, 2025 EDT
Google Workspace Security Earned 10월 25, 2025 EDT
Google Workspace Data Governance Earned 10월 25, 2025 EDT
Google Workspace Core Services Earned 10월 25, 2025 EDT
Google Workspace User and Resource Management Earned 10월 24, 2025 EDT
생성형 AI: 챗봇 그 이상의 가치 Earned 10월 22, 2025 EDT
AI Boost Bites: Customer insights with NotebookLM Earned 9월 30, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick Earned 9월 4, 2025 EDT
BigQuery로 임베딩, 벡터 검색, RAG 만들기 Earned 8월 10, 2025 EDT

Train more powerful models with a single GPU. In this course, you will learn how hardware can speed up model training and the key considerations when training models on a GPU. First, you will learn how to estimate the number of computations and the amount of computer memory required to train large neural networks. You will then discover techniques for reducing the computing and memory requirements when training a model. Techniques which you will apply for fine-tuning a Gemma model with 4 billion parameters. Finally, you will consider the potential environmental impacts of machine learning, with a focus on where questions of energy, water, and e-waste intersect with justice and equity.

자세히 알아보기

Google의 에이전트 개발 키트(ADK)로 첫 번째 AI 에이전트를 구축, 구성, 실행하면서 에이전트에 대한 이론을 실제로 적용해 보세요. 이 실습 중심 과정에서는 완전한 ADK 개발 환경을 설정하고, Python 코드와 YAML 구성의 두 가지 방식으로 에이전트를 생성하며, 다양한 인터페이스에서 실행하는 방법을 배우게 됩니다. 또한 에이전트 동작을 정의하는 핵심 파라미터를 학습하고 첫 번째 과정에서 배운 내용을 실제 코드에 적용합니다.

자세히 알아보기

에이전트 개발 키트(ADK)를 사용하여 복잡하고 프로덕션에 즉시 사용 가능한 AI 에이전트를 빌드하는 방법을 알아보세요. 이 과정에서는 ADK의 오픈소스 프레임워크를 다루며, 간단한 프롬프트 엔지니어링에서 시작해 엔터프라이즈급 멀티 에이전트 시스템에 적합한 코드 우선의 구조화된 소프트웨어 개발 접근 방식으로 나아갑니다.

자세히 알아보기

Unleash the power of language models with fine-tuning. In this course, you will learn how to adjust a pre-trained model to a specific task. You will start with full-parameter fine-tuning using a small language model. To tune larger models like Gemma, you will learn parameter-efficient techniques with a focus on LoRA. Finally, you will be briefly introduced to reinforcement learning as an alternative to supervised fine-tuning (SFT). You will also explore how AI is imagined and made sense of in cultural contexts. You will consider why responsible AI is not just about technical safety but also about building governance systems that reflect community values and protect the public interest.

자세히 알아보기

AI 에이전트는 기존의 대규모 언어 모델(LLM)을 뛰어넘는 중대한 변화입니다. AI 에이전트는 단순히 텍스트 기반 솔루션을 생성하는 데 그치지 않고, 자율적으로 행동하여 솔루션을 실행할 수도 있습니다. 이 과정에서는 AI 에이전트에 대한 기본사항, LLM API와의 차이점, 실제로 AI 에이전트가 더하는 가치를 소개합니다. Google의 에이전트 백서를 바탕으로 한 이 과정은 에이전트 코드를 처음 작성하기 전에 필요한 이론적 토대를 제공하여 (단순한 텍스트 생성이 아닌) 자율적이고 목표 지향적인 행동의 관점에서 AI 시스템을 이해하고자 하는 개발자, 설계자, 기술 의사 결정권자에게 적합합니다. 커뮤니티 포럼에 참여하여 질문하고 토론하기

자세히 알아보기

Complete the advanced Google DeepMind: Train A Small Language Model skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model. Access this lab at no-cost by signing up for the no-cost subscription. Receive 35 free credits each month!

자세히 알아보기

Google Workspace를 위한 Gemini는 고객에게 Google Workspace의 생성형 AI 기능을 제공하는 부가기능입니다. 이 학습 과정에서는 Gemini의 주요 기능을 살펴보고 이러한 기능으로 Google Workspace의 생산성과 효율성을 향상하는 방법을 알아봅니다.

자세히 알아보기

이 과정에서는 책임감 있는 AI라는 개념과 AI 원칙을 소개합니다. 공정성과 편향을 실질적으로 식별하고 AI/ML 실무에서 편향을 완화하는 기법을 알아봅니다. Google Cloud 제품과 오픈소스 도구를 사용하여 책임감 있는 AI 권장사항을 구현하는 실용적인 방법과 도구를 살펴봅니다.

자세히 알아보기

This course is for developers interested in learning how to use TPUs for inference—from architecture to deployment, and how to solve common implementation challenges.

자세히 알아보기

This course is designed for developers looking to build an optimized AI inference stack on Google Cloud. Whether you’re working with GPUs or TPUs, you’ll explore the fundamental components of an inference stack, learn design principles for maximizing performance and reliability, and explore practical techniques to take your workloads from 0 to 1.

자세히 알아보기

이 과정은 머신러닝 실무자에게 생성형 AI 모델과 예측형 AI 모델을 평가하는 데 필요한 도구, 기술, 권장사항을 제공합니다. 모델 평가는 프로덕션 단계의 ML 시스템이 안정적이고 정확하고 성능이 우수한 결과를 제공할 수 있게 하는 중요한 분야입니다. 강의 참가자는 다양한 평가 측정항목, 방법, 각각 다른 모델 유형과 작업에 적합한 애플리케이션에 대해 깊이 있게 이해할 수 있습니다. 이 과정에서는 생성형 AI 모델의 고유한 문제를 강조하고 이를 효과적으로 해결하기 위한 전략을 소개합니다. 강의 참가자는 Google Cloud의 Vertex AI Platform을 활용해 모델 선택, 최적화, 지속적인 모니터링을 위한 견고한 평가 프로세스를 구현하는 방법을 알아볼 수 있습니다.

자세히 알아보기

이 과정에서는 생성형 AI 모델을 배포하고 관리할 때 MLOps팀이 직면하는 고유한 과제를 파악하는 데 필요한 지식과 도구를 제공하고 Vertex AI가 어떻게 AI팀이 MLOps 프로세스를 간소화하고 생성형 AI 프로젝트에서 성공을 거둘 수 있도록 지원하는지 살펴봅니다.

자세히 알아보기

In this video, you'll learn to use Gemini in Google Sheets for advanced data analysis. You'll learn how to create data visualizations, like a scatter plot, using a simple prompt. You'll also learn how to ask Gemini to analyze your data for strategic insights and recommendations, such as how to save money.

자세히 알아보기

In this video, you'll learn to use Gemini in Google Sheets to automatically generate organized trackers from unstructured data. You'll learn how to write a prompt that references other Google Drive files using the "@" symbol. You'll also see how Gemini builds a fully formatted, color-coded table with drop-down menus based on the data in your notes, saving you significant manual effort.

자세히 알아보기

In this video, you'll learn to use Gemini in Google Workspace to manage your calendar from your Gmail inbox. You'll learn how to ask Gemini about your schedule in the side panel and how to create new events without switching apps. You'll also learn how to use Gemini's one-click scheduling feature when it automatically detects event details in an email.

자세히 알아보기

In this video, you'll learn to use Gemini in Google Slides to build polished presentations efficiently. You'll see how to create slides by referencing content directly from your Google Drive files using the "@" symbol. You'll also learn to generate custom, professional images from a simple text prompt to visually enhance your presentation.

자세히 알아보기

In this video, you'll learn to use the "Ask Gemini" feature in Google Sheets to manage your data with natural language. You'll see how to ask Gemini to create dropdowns, highlight sales data, create a pivot table, filter by month, and sort by revenue.

자세히 알아보기

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.

자세히 알아보기

In this video, you'll learn to create "what if" scenarios using AI's reasoning. You'll see how to set a "before" scene with a person holding a cake, prompt an action by asking "what would happen if they tripped?", and let the AI generate the plausible "after" image of the cake falling.

자세히 알아보기

In this video, you'll learn the "creative mashup artist" technique for combining images. You'll see how to generate a subject and a scene as two separate images, and then use a final blending prompt to fuse the astronaut from the first image and the court from the second into one new picture.

자세히 알아보기

In this video, you'll learn to art direct your images in the Gemini app. You'll see how to use multi-turn editing to furnish an empty room step-by-step, and how to "remix" a photo by applying the color and texture of a butterfly's wings to a pair of rainboots.

자세히 알아보기

In this video, you'll learn to create imaginative portraits in the Gemini app that maintain your likeness. You'll see how to use the "Subject, Action, Scene, Style" formula for better prompts, transport yourself into a vintage photo, and combine a photo of yourself and your dog into one new image.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

In this video, you'll learn to create an animated bar chart race using Gemini Canvas. You'll see how to write a prompt to visualize data over time and then use a follow-up prompt to refine the animation, such as slowing it down for a presentation.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

In this video, you'll learn to create an interactive 3D simulation using Gemini Canvas. You'll see how to build a 3D model of the solar system from a single sentence and then use follow-up prompts to add interactive and educational features, like clickable planets and fun facts.

자세히 알아보기

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.

자세히 알아보기

In this video, you'll learn to use the Guided Learning experience in Gemini to build a deep understanding of any topic. You'll see how to start a conversation, engage with Gemini's probing questions, and use interactive tools like diagrams and quizzes to guide your learning journey.

자세히 알아보기

In this video, you'll learn to use a simple text prompt in Gemini Canvas to build a playable game. You'll see how to create a Tic-Tac-Toe game, use a follow-up prompt to customize its theme to a retro 8-bit style, and share the final game with a link.

자세히 알아보기

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.

자세히 알아보기

In this video, you'll learn to use creative prompts in Gemini to make complex research fun and easy to understand. You'll see how to ask Gemini to research a topic and present the findings in a creative format, like a sports scouting report and a head-to-head bracket, to better visualize and compare your options.

자세히 알아보기

This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

In this video, you'll learn to use Gemini Canvas to turn a simple drawing into a working app. You'll upload a sketch, use a simple prompt to generate code, watch a live preview build itself, and make iterative changes to your app prototype using natural language.

자세히 알아보기

This video covers how NotebookLM's Reports feature dynamically suggests formats to help you create customized, trustworthy analyses of your documents with ease.

자세히 알아보기

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.

자세히 알아보기

AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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!

자세히 알아보기

AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

This video covers how to use NotebookLM for common marketing tasks like analyzing customer feedback, conducting market research, and generating content ideas.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

AI 하이퍼컴퓨터를 시작할 준비가 되셨나요? 이 과정에서는 AI 하이퍼컴퓨터를 쉽게 시작할 수 있도록 도와드립니다. AI 하이퍼컴퓨터에 대한 기본사항을 다루고 AI 하이퍼컴퓨터가 AI의 AI 워크로드 처리에 어떤 도움을 주는지 살펴봅니다. GPU, TPU, CPU 등 하이퍼컴퓨터 내부의 다양한 구성요소와 니즈에 맞는 적절한 배포 방식을 선택하는 방법을 알아봅니다.

자세히 알아보기

Google Cloud 기초: 핵심 인프라 과정은 Google Cloud 사용에 관한 중요한 개념 및 용어를 소개합니다. 이 과정에서는 동영상 및 실무형 실습을 통해 중요한 리소스 및 정책 관리 도구와 함께 Google Cloud의 다양한 컴퓨팅 및 스토리지 서비스를 살펴보고 비교합니다.

자세히 알아보기

Kubernetes는 가장 인기 있는 컨테이너 조정 시스템이며, Google Kubernetes Engine은 Google Cloud에서 관리형 Kubernetes 배포를 지원하도록 특별히 설계되었습니다. 이 고급 과정에서는 Docker 이미지, 컨테이너를 구성하고 완전한 Kubernetes Engine 애플리케이션을 배포하는 실무형 실습을 진행합니다. 이 과정에서는 컨테이너 조정을 자체 워크플로에 통합하는 데 필요한 실용적인 기술을 알려드립니다. 기술을 입증하고 지식을 확인할 실무형 챌린지 실습을 찾고 계신가요? 이 과정을 마친 후 추가로 챌린지 실습을 완료하여 전용 Google Cloud 디지털 배지를 받으세요. 이 챌린지 실습은 Google Cloud에서 Kubernetes 애플리케이션 배포하기 과정이 끝나면 제공됩니다.

자세히 알아보기

이 과정은 학습자가 Professional Cloud Architect(PCA) 자격증 시험을 준비하는 학습 계획을 수립하는 데 도움을 줍니다. 학습자는 시험에서 다루는 분야와 범위를 탐구하고. 본인의 시험 준비 상태를 평가하며, 개별 학습 계획을 수립합니다.

자세히 알아보기

In this Google DeepMind course you will focus on the training process for machine learning models. You will learn how to spot and mitigate issues when training a model, such as overfitting and underfitting. In practical coding labs, you will implement and evaluate the multilayer perceptron for simple classification tasks. This will provide insights into the mechanics of training a neural network model and the backpropagation algorithm. Research case studies will demonstrate how neural networks power real-world models. Additionally, you will consider the broader social impacts of innovation by looking beyond immediate benefits to anticipate potential risks, safety concerns, and further-reaching societal consequences.

자세히 알아보기

In this Google DeepMind course you will learn how to prepare text data for language models to process. You will investigate the tools and techniques used to prepare, structure, and represent text data for language models, with a focus on tokenization and embeddings. You will be encouraged to think critically about the decisions behind data preparation, and what biases within the data may be introduced into models. You will analyze trade-offs, learn how to work with vectors and matrices, how meaning is represented in language models. Finally, you will practice designing a dataset ethically using the Data Cards process, ensuring transparency, accountability, and respect for community values in AI development.

자세히 알아보기

In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level understanding of the machine learning development pipeline. You will consider the strengths and limitations of traditional n-gram models and advanced transformer models. Practical coding labs will enable you to develop insights into how machine learning models work and how they can be used to generate text and identify patterns in language. Through real-world case studies, you will build an understanding around how research engineers operate. Drawing on these insights you will identify problems that you wish to tackle in your own community and consider how to leverage the power of machine learning responsibly to address these problems within a global and local context.

자세히 알아보기

In this Google DeepMind course you will discover the mechanisms of the transformer architecture. You will investigate how transformer language models process prompts to make context-sensitive next-token predictions. Through practical activities you will explore the attention mechanism, visualize attention weights, and encounter advanced concepts like masked attention and multi-head attention. You will also learn other techniques that are necessary to build neural networks that are well-suited to be used as language models. Finally, through activities on values, stakeholder mapping and community engagement, you will practice concrete tools for ensuring AI projects are developed with communities, not just for them.

자세히 알아보기

This course was designed to prepare Google Workspace Administrators to troubleshoot common Google Workspace issues. Learners will practice diagnosing and resolving problems in Gmail, Calendar, and Drive, and navigating the Admin console. They will also experience analyzing audit logs to troubleshoot security issues, and gathering information and using available resources to troubleshoot and report technical issues.

자세히 알아보기

This course empowers learners to secure their Google Workspace environment. Learners will implement strong password policies and two-step verification to govern user access. They will then utilize the security investigation tool to proactively identify and respond to security risks. Next, they will manage third-party app access and mobile devices to ensure security. Finally, learners will enforce email security and compliance measures to protect organizational data.

자세히 알아보기

This course equips learners with skills to govern data within their Google Workspace environment. Learners will explore data loss prevention rules in Gmail and Drive to prevent data leakage. They will then learn how to use Google Vault for data retention, preservation, and retrieval purposes. Next, they will learn how to configure data regions and export settings to align with regulations. Finally, learners will discover how to classify data using labels for enhanced organization and security.

자세히 알아보기

This course was designed to give learners a comprehensive understanding of Google Workspace core services. Learners will explore enabling, disabling, and configuring settings for these services, including Gmail, Calendar, Drive, Meet, Chat, and Docs. Next, they'll learn how to deploy and manage Gemini to empower their users. Finally, learners will examine use cases for AppSheet and Apps Script to automate tasks and extend the functionality of Google Workspace applications.

자세히 알아보기

This course was designed to provide an understanding of user and resource management in Google Workspace. Learners will explore the configuration of organizational units to align with their organization's needs. Additionally, learners will discover how to manage various types of Google Groups. They will also develop expertise in managing domain settings within Google Workspace. Finally, learners will master the optimization and structuring of resources within their Google Workspace environment.

자세히 알아보기

'생성형 AI: 챗봇 그 이상의 가치'는 생성형 AI 리더 학습 과정의 첫 번째 과정이며 요구되는 기본 요건이 없습니다. 이 과정은 챗봇에 대한 기본적인 이해를 넘어 조직을 위한 생성형 AI의 진정한 잠재력을 살펴보는 것을 목표로 합니다. 생성형 AI의 강력한 기능을 활용하는 데 중요한 파운데이션 모델 및 프롬프트 엔지니어링과 같은 개념을 살펴봅니다. 또한 조직을 위한 성공적인 생성형 AI 전략을 개발할 때 고려해야 할 중요한 사항도 안내합니다.

자세히 알아보기

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.

자세히 알아보기

This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.

자세히 알아보기

이 과정에서는 AI 할루시네이션을 완화하는 BigQuery의 검색 증강 생성(RAG) 솔루션을 살펴봅니다. 임베딩 만들기, 벡터 공간 검색, 개선된 응답 생성을 포함한 RAG 워크플로를 소개합니다. 또한 이 과정은 이러한 단계의 배경이 되는 개념을 설명하고 BigQuery를 통한 실질적인 구현 과정을 살펴봅니다. 이 과정을 마친 학습자는 BigQuery와 Gemini 및 임베딩 모델 같은 생성형 AI 모델을 사용하여 자신의 AI 할루시네이션 사용 사례를 해결하는 RAG 파이프라인을 빌드할 수 있게 됩니다.

자세히 알아보기