Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 4 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 3 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 2 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 1 badge!
Every day, millions of apps depend on fast data reads, stable networks, and reliable backend logic to keep users connected. Delivering that experience starts with strong development and foundational skills. In this challenge, you’ll level up through ACE App Dev labs, write to Firestore using Python and TypeScript, and build confidence with essential Linux commands. You’ll also strengthen your networking basics. These labs give you the core abilities every cloud developer needs—clean app logic, solid network understanding, and command-line fluency.
Organizations today rely on secure data controls, resilient network design, and AI-driven insights to operate confidently at scale. In this challenge, you’ll manage Vault policies and tokens, validate SQL Server workloads, and visualize security alerts using Google SecOps. You’ll also establish VPC-to-VPC and hybrid connectivity with NCC and steer global traffic with Cloud DNS geolocation policies. On the AI side, you’ll improve speech recognition accuracy and extract, analyze, and translate text using Cloud ML and Natural Language tools. These labs show how modern cloud systems stay protected, connected, and intelligent in an ever-evolving environment.
Intelligent systems today process everything from scanned invoices to massive data lakes, all while powering apps that users expect to work instantly. Handling that complexity calls for advanced AI, strong governance, and dependable cloud architecture. In this challenge, you’ll extract insights from documents with Document AI, organize and manage distributed data using Dataplex, and secure sensitive information with Cloud KMS. You’ll also deploy containerized apps on Kubernetes Engine, build real-time backends with Firebase, create no-code chat apps with AppSheet, and monitor live activity through Streamlit. These labs show how modern cloud solutions combine intelligence and architecture to stay efficient, secure, and ready for anything.
Over 90% of enterprises rely on APIs to accelerate innovation and streamline connectivity across systems. In this challenge, you’ll learn how Apigee X helps modernize, publish, and secure APIs—enabling seamless communication between applications and services. You’ll also explore Looker, Cloud SQL, and Database Migration Service to transform raw data into actionable insights and migrate workloads securely to the cloud. Together, these labs highlight how intelligent integration powers agility, scalability, and smarter decision-making in today’s digital ecosystem.
Kursus ini memperkenalkan model difusi, yaitu kelompok model machine learning yang belakangan ini menunjukkan potensinya dalam ranah pembuatan gambar. Model difusi mengambil inspirasi dari fisika, khususnya termodinamika. Dalam beberapa tahun terakhir, model difusi menjadi populer baik di dunia industri maupun penelitian. Model difusi mendasari banyak alat dan model pembuatan gambar yang canggih di Google Cloud. Kursus ini memperkenalkan Anda pada teori yang melandasi model difusi dan cara melatih serta men-deploy-nya di Vertex AI.
Hey there! You're invited to game on with Skills Boost Arcade Trivia for October Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the October Trivia Week 1 badge!
Hey there! You're invited to game on with Skills Boost Arcade Trivia for October Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the October Trivia Week 2 badge!
Every minute, people upload more than 500 hours of video to YouTube, while apps worldwide handle millions of users at once. Managing that kind of demand requires powerful, scalable cloud solutions. In this challenge, you’ll store and serve media in Cloud Storage, deploy apps on Kubernetes Engine, and connect networks with VPC peering. You’ll also explore Cloud Functions, Cloud Run, IAM, and load balancing for secure, reliable systems—plus dive into Dataproc and Video Intelligence for smarter data insights. These labs show how today’s apps scale, stay secure, and keep delivering when demand never slows down!
Hey there! You're invited to game on with Skills Boost Arcade Trivia for October Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the October Trivia Week 3 badge!
Hey there! You're invited to game on with Skills Boost Arcade Trivia for October Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the October Trivia Week 4 badge!
Modern applications rely on scalable infrastructure, secure identity management, and real-time monitoring to perform reliably. In this challenge, you’ll learn to configure Cloud Storage buckets for website hosting, deploy containers with Google Kubernetes Engine, and manage authentication and authorization with Vault. Explore Cloud Spanner for highly available databases, troubleshoot data models in Looker, and improve LookML projects for usability. You’ll also monitor logs, create alerts, and dive into Cloud Functions across Go, Node.js, .NET, and PHP to build responsive, secure, and scalable cloud applications.
Dalam kursus ini, Anda akan mempelajari bagaimana Gemini, kolaborator yang didukung AI generatif dari Google Cloud, membantu Anda menggunakan produk dan layanan Google untuk mengembangkan, menguji, men-deploy, dan mengelola aplikasi. Dengan bantuan Gemini, Anda belajar cara mengembangkan dan membangun aplikasi web, memperbaiki error dalam aplikasi, mengembangkan pengujian, dan mengkueri data. Dengan menggunakan lab interaktif, Anda akan melihat bagaimana Gemini meningkatkan siklus proses pengembangan software (SDLC). Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
Nearly 1 in 3 people worldwide already use AI chatbots in their daily lives, and more than 90% of companies are exploring generative AI for work and learning. In this challenge, you’ll chat with bots that can talk about movies and music, and help you practise French, Spanish, Hindi, Mandarin, and Portuguese. You’ll also explore AI study partners designed for cloud roles like architect, engineer, and digital leader. These labs show how AI can make learning easier, more interactive, and a lot more fun.
This course is designed for Google Cloud developers and DevOps engineers who have basic knowledge of the Google Cloud console and are responsible for configuring Gemini Code Assist for an organization. The course introduces the benefits of Gemini Code Assist and compares the features of the different Gemini Code Assist editions. The course also shows you how to configure and manage Gemini Code Assist within an organization.
AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns. This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run. It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products. The course includes examples that deploys a model for AI inference with GPUs and integrates gen AI apps with data storage services.
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.
Kursus ini meninjau fitur keamanan penting Model Armor dan membekali Anda untuk bekerja menggunakan layanan ini. Anda akan mempelajari risiko keamanan yang terkait dengan LLM dan cara Model Armor melindungi aplikasi AI Anda.
Kecerdasan Buatan (AI) menawarkan peluang melakukan perubahan transformatif, tetapi juga memunculkan tantangan keamanan baru. Kursus ini membekali para pemimpin keamanan dan perlindungan data dengan strategi untuk mengelola AI secara aman dalam organisasi mereka. Mempelajari framework untuk secara proaktif mengidentifikasi dan memitigasi risiko khusus AI, melindungi data sensitif, memastikan kepatuhan, dan membangun infrastruktur AI yang tangguh. Memilih kasus penggunaan dari empat industri berbeda untuk mengeksplorasi penerapan strategi ini dalam skenario dunia nyata.
Kursus ini memperkenalkan topik penting tentang privasi dan keamanan AI. Kursus ini mengeksplorasi metode dan alat praktis untuk menerapkan rekomendasi praktik privasi dan keamanan AI melalui penggunaan produk dan alat open source Google Cloud.
Kursus ini memperkenalkan konsep penafsiran dan transparansi AI. Kursus ini membahas pentingnya transparansi AI bagi developer dan engineer. Kursus ini juga mengeksplorasi metode dan alat praktis untuk membantu mencapai penafsiran dan transparansi, baik dalam model data maupun AI.
Kursus ini memperkenalkan konsep responsible AI dan prinsip AI. Di dalamnya tercakup teknik untuk secara praktis mengidentifikasi keadilan dan bias serta memitigasi bias dalam praktik AI/ML. Kursus ini juga mengeksplorasi metode dan alat praktis untuk menerapkan praktik terbaik Responsible AI menggunakan produk Google Cloud dan alat open source.
Kursus ini membekali para praktisi machine learning dengan alat, teknik, dan praktik terbaik penting untuk mengevaluasi model AI generatif dan prediktif. Evaluasi model adalah disiplin ilmu yang sangat penting untuk memastikan sistem ML memberikan hasil yang andal, akurat, dan berperforma tinggi dalam produksi. Peserta akan mendapatkan pemahaman yang mendalam mengenai berbagai metrik evaluasi, metodologi, dan penerapannya yang sesuai di berbagai jenis model dan tugas. Kursus ini akan berfokus pada tantangan unik yang dibuat oleh model AI generatif dan memberikan strategi untuk mengatasinya secara efektif. Dengan memanfaatkan platform Vertex AI di Google Cloud, para peserta akan belajar cara mengimplementasikan proses evaluasi yang kuat untuk melakukan pemilihan, pengoptimalan, dan pemantauan berkelanjutan pada model.
Kursus ini dikhususkan untuk membekali Anda dengan pengetahuan dan alat yang diperlukan guna mengungkap tantangan unik yang dihadapi oleh tim MLOps saat men-deploy dan mengelola model AI Generatif, serta mengeksplorasi cara Vertex AI memberdayakan tim AI dalam menyederhanakan proses MLOps dan mencapai keberhasilan dalam project AI Generatif.
Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.
Seiring semakin meningkatnya penggunaan Kecerdasan Buatan dan Machine Learning di kalangan perusahaan, proses membangunnya secara bertanggung jawab juga menjadi semakin penting. Membicarakan responsible AI mungkin lebih mudah bagi banyak orang daripada mempraktikkannya. Jika Anda tertarik untuk mempelajari cara mengoperasionalkan responsible AI dalam organisasi Anda, kursus ini cocok untuk Anda. Dalam kursus ini, Anda akan mempelajari bagaimana Google Cloud mengoperasionalkan responsible AI, dengan praktik terbaik dan pelajaran yang dapat dipetik. Hal ini berguna sebagai framework bagi Anda untuk membangun pendekatan responsible AI.
Ini adalah kursus pengantar pembelajaran mikro yang dimaksudkan untuk menjelaskan responsible AI, alasan pentingnya responsible AI, dan cara Google mengimplementasikan responsible AI dalam produknya. Kursus ini juga memperkenalkan 7 prinsip AI Google.
Ini adalah kursus pengantar pembelajaran mikro yang membahas definisi model bahasa besar (LLM), kasus penggunaannya, dan cara menggunakan prompt tuning untuk meningkatkan performa LLM. Kursus ini juga membahas beberapa alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.
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.
This video covers how to use NotebookLM for common marketing tasks like analyzing customer feedback, conducting market research, and generating content ideas.
This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.
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.
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.
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.
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.
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.
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.
This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.
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.
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.
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.
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.
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.
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.
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!
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.
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.
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.
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.
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.
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.
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.
This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
Ini adalah kursus pengantar pembelajaran mikro yang bertujuan untuk mendefinisikan AI Generatif, cara penggunaannya, dan perbedaannya dari metode machine learning konvensional. Kursus ini juga mencakup Alat-alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.
Selesaikan badge keahlian tingkat menengah Mempelajari AI Generatif dengan Gemini API di Vertex AI untuk menunjukkan keterampilan dalam hal berikut: pembuatan teks, analisis gambar dan video untuk peningkatan kualitas pembuatan konten, serta penerapan teknik panggilan fungsi dalam Gemini API. Temukan cara memanfaatkan teknik Gemini yang canggih, menjelajahi pembuatan konten multimodal, dan memperluas kemampuan project yang didukung AI.
Menyelesaikan badge keahlian tingkat menengah Menginspeksi Dokumen Multimedia dengan Multimodalitas Gemini dan RAG Multimodal untuk menunjukkan keterampilan dalam hal berikut ini: menggunakan prompt multimodal untuk mengekstrak informasi dari data teks dan visual dengan menghasilkan deskripsi video, dan mengambil informasi tambahan di luar video menggunakan multimodalitas dengan Gemini; membangun metadata dokumen yang berisi teks dan gambar dengan mendapatkan semua potongan teks yang relevan, dan mencetak kutipan dengan menggunakan Multimodal Retrieval Augmented Generation (RAG) dengan Gemini.
Selesaikan badge keahlian tingkat menengah Mengembangkan Aplikasi GenAI dengan Gemini dan Streamlit untuk menunjukkan keterampilan dalam hal berikut: membuat teks, menerapkan panggilan fungsi dengan Python SDK dan Gemini API, serta men-deploy aplikasi Streamlit dengan Cloud Run. Anda akan mempelajari berbagai cara memberikan perintah kepada Gemini untuk membuat teks, menggunakan Cloud Shell untuk menguji dan melakukan iterasi pada aplikasi Streamlit, lalu mengemasnya sebagai container Docker yang di-deploy di Cloud Run.
Selesaikan badge keahlian pengantar Membangun Aplikasi AI yang Bermanfaat dengan Gemini dan Imagen untuk menunjukkan keterampilan dalam hal berikut: pengenalan citra, natural language processing, pembuatan gambar menggunakan model Gemini dan Imagen Google yang canggih, serta men-deploy aplikasi di platform Vertex AI.
Selesaikan badge keahlian pengantar Desain Perintah dalam Vertex AI untuk menunjukkan keterampilan Anda dalam hal berikut: rekayasa perintah, analisis gambar, dan teknik generatif multimodal, dalam Vertex AI. Pelajari cara membuat perintah yang efektif, memandu output AI generatif, dan menerapkan model Gemini dalam skenario pemasaran di dunia nyata.