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Build a Dialogflow CX conversational agent with IVR features: DTMF, barge-in, conversation repair, and SSML, testing with the Dialogflow CX Phone Gateway.
Extract entities and run sentiment and syntactic analysis on blocks of text with the Cloud Natural Language API in a hands-on console lab.
Design, deploy, and monitor retail search and recommendation solutions with Vertex AI Search for Commerce: reference architecture, data ingestion, model training, serving configurations, and Retail API operations.
Create a Speech API request in the Google Cloud console and send audio to receive a text transcription in this hands-on lab.
Use the Vertex AI SDK to prompt Google's Gemini generative model with images, asking questions and receiving text responses in a hands-on Google Cloud console lab.
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you explore and evaluate AI models using Model Garden.
This is a self-paced lab that takes place in the Google Cloud console.In this lab, you build and deploy an AI-based chat application on Cloud Run that utilizes the PaLM 2 API's Chat Bison model (text-chat).
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create a series of audio files using the Text-to-Speech API, then listen to them to compare the differences.
Get hands-on with generative AI on Google Cloud: work with the Vertex AI Gemini 1.5 Pro model in a self-paced console lab.
Manage Dialogflow CX agent versions and environments in a hands-on lab: create versions, load them into dedicated environments, and separate development from production use.
Create prompts and multimodal conversations with Gemini in Vertex AI Studio from the Google Cloud console, applied to healthcare scenarios.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will gain hands-on experience using Document AI by parsing forms from within a Jupyter Notebook so that you can automatically extract information from digitally scanne…
Use regular expressions to validate parameters like a PNR number, reset parameters on new flows, and add flight-status checks with an "Anything else?" page in Dialogflow CX.
This is a Google Cloud Self-Paced Lab. In this hands-on lab, you will use Apps Script to call the Natural Language API from Google Docs to analyze the sentiment of selected text in the document.
This is a self-paced lab that takes place in the Google Cloud console. Create a Cosmetic Anomaly Detection Model using Visual Inspection AI
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