with Axis LMS and Google Vertex AI?
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
Generate a video from an image with optional text prompt using Google Vertex AI Veo models. See the documentation
Generate a video from a text prompt using Google Vertex AI Veo models. See the documentation
The Axis LMS API provides a wide array of functionalities for integrating your Learning Management System with various services and automating tasks. In Pipedream, you can leverage this API to create workflows that handle data synchronization, user management, course enrollment, and reporting, among others. The API's flexibility allows you to trigger actions based on events, schedule tasks, and interact with other apps to expand your LMS capabilities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
axis_lms: {
type: "app",
app: "axis_lms",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.axis_lms.$auth.url}/api.php/certifications/list/all/`,
headers: {
Authorization: `Bearer ${this.axis_lms.$auth.oauth_access_token}`,
},
})
},
})
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})