Introduction to Image Generation
Earned lip 17, 2024 EDT
Create and Manage Bigtable Instances
Earned lip 15, 2024 EDT
Implement DevOps Workflows in Google Cloud
Earned lip 14, 2024 EDT
Build Real World AI Applications with Gemini and Imagen
Earned lip 14, 2024 EDT
Cloud Functions: 3 Ways
Earned lip 14, 2024 EDT
Manage Kubernetes in Google Cloud
Earned lip 13, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud - Polski
Earned lip 13, 2024 EDT
Prompt Design in Vertex AI
Earned lip 13, 2024 EDT
Introduction to Responsible AI - Polski
Earned lip 8, 2024 EDT
Introduction to Large Language Models - Polski
Earned lip 8, 2024 EDT
Introduction to Generative AI - Polski
Earned lip 8, 2024 EDT
This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
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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.
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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge to demonstrate skills in the following: configuring and building Docker container images, creating and managing Google Kubernetes Engine (GKE) clusters, utilizing kubectl for efficient cluster management, and deploying Kubernetes applications with robust continuous delivery (CD) practices. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
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This challenge lab tests your skills and knowledge from the labs in the Monitor and Manage Google Cloud Resources quest. You should be familiar with the content of labs before attempting this lab.
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Earn the intermediate skill badge by completing the Implement CI/CD Pipelines on Google Cloud course where you will learn how to use Artifact Registry, Cloud Build, and Cloud Deploy. You will interact with the Cloud console, Google Cloud CLI, Cloud Run, and GKE. This course will teach you how to build continuous integration pipelines, store and secure artifacts, scan for vulnerabilities, attest to the validity of approved releases. Additionally, you'll get hands-on experience deploying applications to both GKE and Cloud Run. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an skillbadge hands-on environment. Complete this skill badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the Get Started with Pub/Sub quest, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you will use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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Earn a skill badge by completing the Get Started with Cloud Storage quest, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Complete the intermediate Explore Generative AI with the Vertex AI Gemini API skill badge to demonstrate skills in the following: text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
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Earn a skill badge by completing the The Basics of Google Cloud Compute quest, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Complete the intermediate Develop GenAI Apps with Gemini and Streamlit skill badge to demonstrate skills in the following: text generation, applying function calls with the Python SDK and the Gemini API, and deploying a Streamlit application with Cloud Run. You will explore different ways to prompt Gemini for text generation, use Cloud Shell to test and iterate on a Streamlit application, and then package it as a Docker container deployed in Cloud Run. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Complete the introductory Build LangChain Applications using Vertex AI skill badge to learn how to build Generative AI applications using LangChain and the Retrieval Augmented Generation (RAG) technique for text-based content, powered by Vertex AI's advanced Generative AI capabilities. Discover how to integrate powerful large language models (LLMs) with search and retrieval workflows, boosting the accuracy and relevance of your generated content. Earn a Google Cloud skill badge and showcase your expertise by completing the course and its final assessment challenge lab.
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Earn a skill badge by completing the Build and Secure Networks in Google Cloud course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Ukończ szkolenie wprowadzające Prepare Data for ML APIs on Google Cloud, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: czyszczenie danych przy użyciu usługi Dataprep firmy Trifacta, uruchamianie potoków danych w Dataflow, tworzenie klastrów i uruchamianie zadań Apache Spark w Dataproc, a także wywoływanie interfejsów API dotyczących uczenia maszynowego, w tym Cloud Natural Language API, Google Cloud Speech-to-Text API oraz Video Intelligence API. Odznaka umiejętności to wyjątkowa cyfrowa odznaka wydawana przez Google Cloud, która potwierdza Twoją wiedzę o produktach i usługach Google Cloud. Aby ją zdobyć, musisz pokazać, że potrafisz zastosować zdobytą wiedzę w praktycznym, interaktywnym środowisku. Ukończ to szkolenie oraz moduł Challenge Lab, aby zdobyć odznakę umiejętności, którą możesz udostępnić w swojej sieci kontaktów.
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Jeśli jesteś początkującym programistą aplikacji internetowych i potrzebujesz dodatkowych ćwiczeń praktycznych (poza zawartymi w kursie Pierwsze kroki – Tworzenie zasobów w Google Cloud i zarządzanie nimi), ten kurs jest dla Ciebie. Obejmuje on moduły dotyczące Cloud Storage i innych kluczowych aplikacji oraz usług, takich jak Stackdriver czy Cloud Functions. Uczestnicząc w nim, zdobędziesz wartościowe umiejętności i doświadczenie przydatne w każdym projekcie Google Cloud. Jeśli ukończysz ten kurs wraz z Challenge Lab na końcu, otrzymasz cyfrową plakietkę Google Cloud. Przez kluczowe pojęcia dotyczące poszczególnych modułów przeprowadzą Cię 1-minutowe filmy.
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Ukończ szkolenie wprowadzające Implement Load Balancing on Compute Engine, aby zdobyć odznakę potwierdzającą zdobycie następujących umiejętności: pisanie poleceń gcloud przy użyciu Cloud Shell, tworzenie i wdrażanie maszyn wirtualnych w Compute Engine oraz konfigurowanie systemów równoważenia obciążenia sieci i HTTP. Odznaka umiejętności to wyjątkowa cyfrowa odznaka wydawana przez Google Cloud, która potwierdza Twoją wiedzę o produktach i usługach Google Cloud. Aby ją zdobyć, musisz pokazać, że potrafisz zastosować zdobytą wiedzę, w praktycznym, interaktywnym środowisku. Ukończ to szkolenie oraz moduł Challenge Lab, aby zdobyć odznakę umiejętności, którą możesz udostępnić w swojej sieci kontaktów.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
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Szkolenie Podstawy przetwarzania danych w Google Cloud pozwoli osobom z niewielkim
lub zerowym doświadczeniem z zakresu przetwarzania danych w chmurze szczegółowo
zapoznać się z najważniejszymi pojęciami z zakresu podstaw chmury, big data i systemów uczących się.
Zawiera także informacje o tym, gdzie i jak można wykorzystać Google Cloud.
Po zakończeniu szkolenia uczestnicy będą potrafili wyjaśnić pojęcia dotyczące przetwarzania danych w chmurze,
big data i systemów uczących się oraz zademonstrować wybrane umiejętności praktyczne.
To szkolenie należy do serii szkoleń o nazwie Google Cloud Computing Foundations (Podstawy usług w chmurze Google).
Szkolenia należy ukończyć w następującej kolejności:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundations…
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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Szkolenie Podstawy przetwarzania danych w Google Cloud pozwoli osobom z niewielkim
lub zerowym doświadczeniem z zakresu przetwarzania danych w chmurze szczegółowo
zapoznać się z najważniejszymi pojęciami z zakresu podstaw chmury, big data i systemów uczących się.
Zawiera także informacje o tym, gdzie i jak można wykorzystać Google Cloud.
Po zakończeniu szkolenia uczestnicy będą potrafili wyjaśnić pojęcia dotyczące przetwarzania danych w chmurze,
big data i systemów uczących się oraz zademonstrować wybrane umiejętności praktyczne.
To szkolenie należy do serii szkoleń o nazwie Google Cloud Computing Foundations (Podstawy usług w chmurze Google).
Szkolenia należy ukończyć w następującej kolejności:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundation…
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Szkolenie Podstawy przetwarzania danych w Google Cloud pozwoli osobom z niewielkim lub zerowym doświadczeniem z zakresu
przetwarzania danych w chmurze szczegółowo zapoznać się z najważniejszymi pojęciami z zakresu podstaw chmury, big data i systemów uczących się.
Zawiera także informacje o tym, gdzie i jak można wykorzystać Google Cloud.
Po zakończeniu szkolenia uczestnicy będą potrafili wyjaśnić pojęcia dotyczące przetwarzania danych w chmurze, big data i systemów uczących się oraz
zademonstrować wybrane umiejętności praktyczne.
TTo szkolenie należy do serii szkoleń o nazwie Google Cloud Computing Foundations (Podstawy usług w chmurze Google).
Szkolenia należy ukończyć w następującej kolejności:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundatio…
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Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge to demonstrate skills in the following: using multimodal prompts to extract information from text and visual data, generating a video description, and retrieving extra information beyond the video using multimodality with Gemini; building metadata of documents containing text and images, getting all relevant text chunks, and printing citations by using Multimodal Retrieval Augmented Generation (RAG) with Gemini. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.
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Na tym szkoleniu przedstawiamy koncepcje interpretowalności i przejrzystości AI. Omawiamy na nim, jak ważna jest przejrzystość AI dla deweloperów i inżynierów. Pokazujemy praktyczne techniki i narzędzia, które pomagają osiągnąć interpretowalność oraz przejrzystość zarówno w danych, jak i modelach AI.
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Na tym szkoleniu przedstawiamy koncepcje odpowiedzialnej AI i zasad dotyczących AI. Omawiamy praktyczne metody identyfikowania obiektywności i uprzedzeń, a także ograniczania występowania uprzedzeń podczas używania AI/ML. W trakcie szkolenia przedstawiamy też praktyczne techniki i narzędzia, które umożliwiają wdrożenie sprawdzonych metod w zakresie odpowiedzialnej AI przy użyciu usług Google Cloud oraz narzędzi open source.
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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 Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
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This course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models. Through immersive lessons, engaging demos, and a hands-on lab, you'll explore the generative AI workflow and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, and model tuning. The aim is to enable you to unlock the potentials of these models in your projects with Vertex AI Studio.
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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.
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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
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Complete the intermediate Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Vertex AI platform.
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Earn a skill badge by completing the Cloud Functions: 3 Ways course, where you learn how to use Cloud Functions (including 2nd gen) through the Google Cloud console and on the command line. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the Manage Kubernetes in Google Cloud quest, where you will learn about Google Kubernetes Engine and multiple deployment approaches including how to: configure and build images to run and debug Docker containers, build Kubernetes Engine clusters, and manage them with kubectl, deploy Kubernetes applications using deployments and continuous delivery techniques. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Im szerzej wykorzystuje się w firmach sztuczną inteligencję i systemy uczące się, tym większej wagi nabiera odpowiedzialne podejście do opracowywania tych technologii. Wielu organizacjom trudniej jest jednak wprowadzić zasady odpowiedzialnej AI w praktyce niż tylko o tym rozmawiać. To szkolenie jest przeznaczone dla osób, które chcą się dowiedzieć, jak wdrożyć odpowiedzialną AI w swojej organizacji.
W jego trakcie dowiesz się, jak robimy to w Google Cloud, oraz poznasz sprawdzone metody i wnioski z naszych działań w tym zakresie. Pomoże Ci to opracować własne podejście do odpowiedzialnej AI.
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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Celem tego szybkiego szkolenia dla początkujących jest wyjaśnienie, czym jest odpowiedzialna AI i dlaczego jest ważna, oraz przedstawienie, jak Google wprowadza ją w swoich usługach. Szkolenie zawiera także wprowadzenie do siedmiu zasad Google dotyczących sztucznej inteligencji.
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To szybkie szkolenie dla początkujących wyjaśnia, czym są duże modele językowe (LLM) oraz jakie są ich zastosowania. Przedstawia również możliwości zwiększenia ich wydajności przez dostrajanie przy użyciu promptów oraz narzędzia Google, które pomogą Ci tworzyć własne aplikacje korzystające z generatywnej AI.
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Celem tego szybkiego szkolenia dla początkujących jest wyjaśnienie, czym jest generatywna AI oraz jakie są jej zastosowania. Szkolenie przedstawia również różnice pomiędzy tą technologią a tradycyjnymi systemami uczącymi się, a także narzędzia Google, które pomogą Ci tworzyć własne aplikacje korzystające z generatywnej AI.
Data Management and Storage in the Cloud
Earned sie 11, 2024 EDT
Gemini for Application Developers
Earned sie 8, 2024 EDT
Deploy Kubernetes Applications on Google Cloud
Earned sie 8, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned sie 6, 2024 EDT
Monitor and Manage Google Cloud Resources
Earned sie 6, 2024 EDT
Implement CI/CD Pipelines on Google Cloud
Earned sie 5, 2024 EDT
Get Started with Pub/Sub
Earned sie 3, 2024 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned sie 2, 2024 EDT
Get Started with Cloud Storage
Earned sie 2, 2024 EDT
Explore Generative AI with the Vertex AI Gemini API
Earned lip 31, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned lip 31, 2024 EDT
The Basics of Google Cloud Compute
Earned lip 30, 2024 EDT
Develop GenAI Apps with Gemini and Streamlit
Earned lip 29, 2024 EDT
DEPRECATED Build LangChain Applications using Vertex AI
Earned lip 27, 2024 EDT
Build a Secure Google Cloud Network
Earned lip 26, 2024 EDT
Prepare Data for ML APIs on Google Cloud
Earned lip 25, 2024 EDT
Perform Foundational Infrastructure Tasks in Google Cloud
Earned lip 25, 2024 EDT
Implement Load Balancing on Compute Engine
Earned lip 25, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned lip 25, 2024 EDT
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Earned lip 24, 2024 EDT
Build Infrastructure with Terraform on Google Cloud
Earned lip 24, 2024 EDT
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned lip 23, 2024 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Polski
Earned lip 23, 2024 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned lip 22, 2024 EDT
Vector Search and Embeddings
Earned lip 22, 2024 EDT
Responsible AI for Developers: Interpretability & Transparency - Polski
Earned lip 22, 2024 EDT
Responsible AI for Developers: Fairness & Bias - Polski
Earned lip 18, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned lip 17, 2024 EDT
Create Image Captioning Models
Earned lip 17, 2024 EDT
Introduction to Vertex AI Studio
Earned lip 17, 2024 EDT
Transformer Models and BERT Model
Earned lip 17, 2024 EDT
Encoder-Decoder Architecture
Earned lip 17, 2024 EDT
Attention Mechanism
Earned lip 17, 2024 EDT
Introduction to Image Generation
Earned lip 17, 2024 EDT
Create and Manage Bigtable Instances
Earned lip 15, 2024 EDT
Implement DevOps Workflows in Google Cloud
Earned lip 14, 2024 EDT
Build Real World AI Applications with Gemini and Imagen
Earned lip 14, 2024 EDT
Cloud Functions: 3 Ways
Earned lip 14, 2024 EDT
Manage Kubernetes in Google Cloud
Earned lip 13, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud - Polski
Earned lip 13, 2024 EDT
Prompt Design in Vertex AI
Earned lip 13, 2024 EDT
Introduction to Responsible AI - Polski
Earned lip 8, 2024 EDT
Introduction to Large Language Models - Polski
Earned lip 8, 2024 EDT
Introduction to Generative AI - Polski
Earned lip 8, 2024 EDT