Analyze Speech and Language with Google APIs
Earned déc. 24, 2024 EST
Automate Data Capture at Scale with Document AI
Earned déc. 13, 2024 EST
Generative AI Fundamentals
Earned déc. 7, 2024 EST
Build deterministic Virtual Agent enhanced with data stores
Earned déc. 6, 2024 EST
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned juil. 5, 2024 EDT
Launching into Machine Learning
Earned juil. 3, 2024 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned mars 6, 2024 EST
Introduction to AI and Machine Learning on Google Cloud
Earned mars 6, 2024 EST
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 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.
En savoir plus
Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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Demonstrate the ability to create and deploy deterministic virtual agents using Dialgflow CX and augment responses by grounding results on your own data integrating with Vertex AI Agent Builder data stores and leveraging Gemini for summarizations.
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Dialogflow CX
Gemini
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This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
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The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.
En savoir plus
This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
Analyze Speech and Language with Google APIs
Earned déc. 24, 2024 EST
Automate Data Capture at Scale with Document AI
Earned déc. 13, 2024 EST
Generative AI Fundamentals
Earned déc. 7, 2024 EST
Build deterministic Virtual Agent enhanced with data stores
Earned déc. 6, 2024 EST
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned juil. 5, 2024 EDT
Launching into Machine Learning
Earned juil. 3, 2024 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned mars 6, 2024 EST
Introduction to AI and Machine Learning on Google Cloud
Earned mars 6, 2024 EST