with Google Classroom and Google Vertex AI?
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Retrieve information about an assignment. See the docs here
Analyzes a specified text for its underlying sentiment. See the documentation
Retrieve a list of assignments for a course. See the documentation
Groups a provided text into predefined categories. See the documentation
The Google Classroom API lets you tap into the educational space by managing courses, assignments, and student interactions programmatically. With this API, you can automate course creation, roster management, and content distribution, effectively bridging the gap between various educational tools and platforms. Leveraging Pipedream's serverless execution environment, you can build powerful workflows that respond to events in Classroom, sync data across platforms, and streamline the educational process for teachers and students alike.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_classroom: {
type: "app",
app: "google_classroom",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_classroom.$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}`,
},
})
},
})