Analyze and Reason on Multimodal Data with Gemini
Earned sept. 20, 2025 EDT
Enhance Gemini Model Capabilities
Earned sept. 19, 2025 EDT
Gemini for Data Scientists and Analysts
Earned sept. 19, 2025 EDT
Boost Productivity with Gemini in BigQuery
Earned sept. 19, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned sept. 18, 2025 EDT
Prompt Design in Vertex AI
Earned sept. 18, 2025 EDT
Managing Machine Learning Projects with Google Cloud
Earned avr. 6, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned avr. 6, 2024 EDT
Intro to ML: Image Processing
Earned avr. 6, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned avr. 5, 2024 EDT
Intro to ML: Language Processing
Earned avr. 4, 2024 EDT
Baseline: Data, ML, AI
Earned avr. 4, 2024 EDT
Baseline: Infrastructure
Earned avr. 3, 2024 EDT
Analyze Sentiment with Natural Language API
Earned avr. 2, 2024 EDT
Analyze Images with the Cloud Vision API
Earned avr. 2, 2024 EDT
Analyze Speech and Language with Google APIs
Earned avr. 2, 2024 EDT
Detect Manufacturing Defects Using Visual Inspection AI
Earned avr. 2, 2024 EDT
Build LookML Objects in Looker
Earned avr. 1, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned mars 30, 2024 EDT
Generative AI Explorer - Vertex AI
Earned mars 29, 2024 EDT
This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.
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Earn a skill badge by completing the Build Custom Processors with Document AI course. You learn how to extract data and classify documents by creating custom ML models specific to your business needs. This course teaches the foundation skills of building your own processors, working with optical character recognition, form parsing, processor creation, and uptraining the DocumentAI model.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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In this course, you will learn about the various services Google Cloud offers for modernizing retail applications and infrastructure. Through a series of lecture content and hands-on labs, you will gain practical experience deploying cutting-edge retail and ecommerce solutions on Google Cloud.
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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.
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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
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Earn the Introductory skill badge by completing the Cloud Speech API: 3 Ways course, where you learn how to use speech related API tools to synthesise and transcribe speech.
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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
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Complete the intermediate Implement Multimodal Vector Search with BigQuery skill badge to demonstrate skills in the following: using Gemini in BigQuery to generate and debug SQL, conduct sentiment analysis, summarize text and identify keywords, generate embeddings, create a Retrieval Augmented Generation (RAG) pipeline, and implement multimodal vector search.
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Complete the intermediate Analyze and Reason on Multimodal Data with Gemini skill badge course to demonstrate skills in the following: using Gemini 2.0 Flash to analyze text, image, audio (represented as sheet music), and video data, and to reason about this combined information to draw conclusions and extract insights.
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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.
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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.
Duet AI was renamed to Gemini, our next-generation model.
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This course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization. Through conceptual explanations, a practical use case, and hands-on labs, the course empowers data practitioners to boost their productivity and expedite the development pipeline.
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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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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
En savoir plus
Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.
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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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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
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This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
En savoir plus
It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory course, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
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Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API and Video Intelligence. Want extra help? 1-minute videos walk you through key concepts for each lab.
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If you are a novice cloud developer looking for hands-on practice beyond Google Cloud Essentials, this course is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Monitoring and Cloud Functions. You will develop valuable skills that are applicable to any Google Cloud initiative. 1-minute videos walk you through key concepts for these labs.
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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.
En savoir plus
Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.
En savoir plus
Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
En savoir plus
Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.
En savoir plus
Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.
En savoir plus
Earn the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.
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The Generative AI Explorer - Vertex Quest 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 models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. 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 Vertex AI custom training and deploy it to a Vertex AI endpoint.
Work with Gemini Models in BigQuery
Earned sept. 23, 2025 EDT
Build Custom Processors with Document AI
Earned sept. 23, 2025 EDT
Use Machine Learning APIs on Google Cloud
Earned sept. 22, 2025 EDT
Modernizing Retail and Ecommerce Solutions with Google Cloud
Earned sept. 22, 2025 EDT
Automate Data Capture at Scale with Document AI
Earned sept. 22, 2025 EDT
Prepare Data for ML APIs on Google Cloud
Earned sept. 22, 2025 EDT
Cloud Speech API: 3 Ways
Earned sept. 21, 2025 EDT
Google Developer Essentials
Earned sept. 21, 2025 EDT
Implement Multimodal Vector Search with BigQuery
Earned sept. 21, 2025 EDT
Analyze and Reason on Multimodal Data with Gemini
Earned sept. 20, 2025 EDT
Enhance Gemini Model Capabilities
Earned sept. 19, 2025 EDT
Gemini for Data Scientists and Analysts
Earned sept. 19, 2025 EDT
Boost Productivity with Gemini in BigQuery
Earned sept. 19, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned sept. 18, 2025 EDT
Prompt Design in Vertex AI
Earned sept. 18, 2025 EDT
Managing Machine Learning Projects with Google Cloud
Earned avr. 6, 2024 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned avr. 6, 2024 EDT
Intro to ML: Image Processing
Earned avr. 6, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned avr. 5, 2024 EDT
Intro to ML: Language Processing
Earned avr. 4, 2024 EDT
Baseline: Data, ML, AI
Earned avr. 4, 2024 EDT
Baseline: Infrastructure
Earned avr. 3, 2024 EDT
Analyze Sentiment with Natural Language API
Earned avr. 2, 2024 EDT
Analyze Images with the Cloud Vision API
Earned avr. 2, 2024 EDT
Analyze Speech and Language with Google APIs
Earned avr. 2, 2024 EDT
Detect Manufacturing Defects Using Visual Inspection AI
Earned avr. 2, 2024 EDT
Build LookML Objects in Looker
Earned avr. 1, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned mars 30, 2024 EDT
Generative AI Explorer - Vertex AI
Earned mars 29, 2024 EDT